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Tahoe Stormwater Assessment and Management for Urban and Roadway Runoff Alan C. Heyvaert 1 John E. Reuter 2 Robert G. Qualls 3 John J. Sansalone 4 Julie R. Midgette 4 June 2016 prepared by 1 Desert Research Institute, Reno, NV 2 University of California, Davis, CA 3 University of Nevada, Reno, NV 4 University of Florida, Gainesville, FL prepared for USDA Forest Service, Pacific Southwest Research Station
79

Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

Nov 04, 2020

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Page 1: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

Tahoe Stormwater Assessment and Management for Urban and Roadway Runoff

Alan C Heyvaert1

John E Reuter2

Robert G Qualls3

John J Sansalone4

Julie R Midgette4

June 2016

prepared by 1Desert Research Institute Reno NV 2University of California Davis CA3University of Nevada Reno NV4University of Florida Gainesville FL

prepared for

USDA Forest Service Pacific Southwest Research Station

This research was supported through a grant from the USDA Forest Service Pacific Southwest Research Station and using funds provided by the Bureau of Land Management through the sale of public lands as authorized by the Southern Nevada Public Land Management Act

httpwwwfsfeduspswpartnershipstahoescience

Theviewsinthisreportare those oftheauthorsanddonotnecessaryreflectthoseoftheUSDAForestServicePacificSouthwestResearchStationortheUSDIBureau ofLand Management

NOTE The use of brand names and any mention or listing of commercial products or services in this report does not imply an endorsement by the project researchers or discrimination against similar products or services not mentioned

Recommended citation

Heyvaert AC JE Reuter RG Qualls JJ Sansalone JR Midgette 2016 Tahoe Stormwater Assessment and Management for Urban and Roadway Runoff Final report Prepared for the USDA Forest Service Pacific Southwest Research Station June 2016

ii

CONTENTS

LIST OF FIGURES v

LIST OF TABLES v

LIST OF ACRONYMS vi

BACKGROUND 1

Objectives 2

Presentation Format 2

Key Findings 3

Management Implications 5

REFERENCES 6

CONSTRUCTED WETLAND TREATMENT EVALUATION 9

ABSTRACT 9

INTRODUCTION 10

METHODS 12

Site Description 12

Sampling and Analysis 13

Statistical Analyses 14

RESULTS 15

DISCUSSION 17

Accretion Rates 17

Origins of Material Accreted In the Wetland 20

Accretion of Allochthonous vs Autochthonous Organic Nutrient Elements 21

Evidence of Highway Runoff 22

Particle Size Distribution 23

Management of Sediment Accumulation 24

CONCLUSIONS 25

REFERENCES 26

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT 37

ABSTRACT 37

INTRODUCTION 38

OBJECTIVES 40

METHODS 40

Site Description 40

Snow Sampling 41

Laboratory Analyses 41

Batch Settling Experiments 41

iii

RESULTS AND DISCUSSION 42

PM and PSD 42

Batch Settling Supernatants Snow PM and PSD 43

Batch Settling Supernatants Snowmelt PM and PSD 44

Turbidity 45

Batch Settling Supernatants Snow Turbidity 46

Batch Settling Supernatants Snowmelt Turbidity 47

CONCLUSIONS 48

REFERENCES 49

APPENDIX A CHARACTERIZATION OF RUNOFF amp WETLAND SEDIMENT A-1

iv

LIST OF FIGURES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Diagram of stormwater treatment wetland located near intersection of highways SR 28 and SR 89 in Tahoe City CA 33

2 Accretion rates of major plant and algal nutrient elements C N P and S 34

3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff 35

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada) 57

2 PSDs of source area snow with a cumulative gamma distribution fit to the median of source area PSDs 58

3 PSDs and corresponding turbidity relationships for PM batch settling of CALTRANS SMA snow and Firestation 5 snow 59

4 PSDs and corresponding turbidity relationships for PM batch settling of Lake Parkway snowmelt and Takela Dr snowmelt 60

5 PM fractions of snow supernatants and snowmelt supernatants after zero one six and 24 hours 61

6 Probability density function of total PM of source area snow and snowmelt samples 62

LIST OF TABLES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Wetland basin and watershed characteristics 30

2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil 31

3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years 32

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Locations of sampling (site numbers correspond to marked locations presented in Figure 1) 54

2 Statistical summary of PM concentrations and turbidity for source area snow source area snowmelt Lake Tahoe ambient water and control snow 55

3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution parameters for batch supernatants of snow and snowmelt 56

v

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 2: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

This research was supported through a grant from the USDA Forest Service Pacific Southwest Research Station and using funds provided by the Bureau of Land Management through the sale of public lands as authorized by the Southern Nevada Public Land Management Act

httpwwwfsfeduspswpartnershipstahoescience

Theviewsinthisreportare those oftheauthorsanddonotnecessaryreflectthoseoftheUSDAForestServicePacificSouthwestResearchStationortheUSDIBureau ofLand Management

NOTE The use of brand names and any mention or listing of commercial products or services in this report does not imply an endorsement by the project researchers or discrimination against similar products or services not mentioned

Recommended citation

Heyvaert AC JE Reuter RG Qualls JJ Sansalone JR Midgette 2016 Tahoe Stormwater Assessment and Management for Urban and Roadway Runoff Final report Prepared for the USDA Forest Service Pacific Southwest Research Station June 2016

ii

CONTENTS

LIST OF FIGURES v

LIST OF TABLES v

LIST OF ACRONYMS vi

BACKGROUND 1

Objectives 2

Presentation Format 2

Key Findings 3

Management Implications 5

REFERENCES 6

CONSTRUCTED WETLAND TREATMENT EVALUATION 9

ABSTRACT 9

INTRODUCTION 10

METHODS 12

Site Description 12

Sampling and Analysis 13

Statistical Analyses 14

RESULTS 15

DISCUSSION 17

Accretion Rates 17

Origins of Material Accreted In the Wetland 20

Accretion of Allochthonous vs Autochthonous Organic Nutrient Elements 21

Evidence of Highway Runoff 22

Particle Size Distribution 23

Management of Sediment Accumulation 24

CONCLUSIONS 25

REFERENCES 26

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT 37

ABSTRACT 37

INTRODUCTION 38

OBJECTIVES 40

METHODS 40

Site Description 40

Snow Sampling 41

Laboratory Analyses 41

Batch Settling Experiments 41

iii

RESULTS AND DISCUSSION 42

PM and PSD 42

Batch Settling Supernatants Snow PM and PSD 43

Batch Settling Supernatants Snowmelt PM and PSD 44

Turbidity 45

Batch Settling Supernatants Snow Turbidity 46

Batch Settling Supernatants Snowmelt Turbidity 47

CONCLUSIONS 48

REFERENCES 49

APPENDIX A CHARACTERIZATION OF RUNOFF amp WETLAND SEDIMENT A-1

iv

LIST OF FIGURES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Diagram of stormwater treatment wetland located near intersection of highways SR 28 and SR 89 in Tahoe City CA 33

2 Accretion rates of major plant and algal nutrient elements C N P and S 34

3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff 35

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada) 57

2 PSDs of source area snow with a cumulative gamma distribution fit to the median of source area PSDs 58

3 PSDs and corresponding turbidity relationships for PM batch settling of CALTRANS SMA snow and Firestation 5 snow 59

4 PSDs and corresponding turbidity relationships for PM batch settling of Lake Parkway snowmelt and Takela Dr snowmelt 60

5 PM fractions of snow supernatants and snowmelt supernatants after zero one six and 24 hours 61

6 Probability density function of total PM of source area snow and snowmelt samples 62

LIST OF TABLES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Wetland basin and watershed characteristics 30

2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil 31

3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years 32

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Locations of sampling (site numbers correspond to marked locations presented in Figure 1) 54

2 Statistical summary of PM concentrations and turbidity for source area snow source area snowmelt Lake Tahoe ambient water and control snow 55

3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution parameters for batch supernatants of snow and snowmelt 56

v

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 3: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

CONTENTS

LIST OF FIGURES v

LIST OF TABLES v

LIST OF ACRONYMS vi

BACKGROUND 1

Objectives 2

Presentation Format 2

Key Findings 3

Management Implications 5

REFERENCES 6

CONSTRUCTED WETLAND TREATMENT EVALUATION 9

ABSTRACT 9

INTRODUCTION 10

METHODS 12

Site Description 12

Sampling and Analysis 13

Statistical Analyses 14

RESULTS 15

DISCUSSION 17

Accretion Rates 17

Origins of Material Accreted In the Wetland 20

Accretion of Allochthonous vs Autochthonous Organic Nutrient Elements 21

Evidence of Highway Runoff 22

Particle Size Distribution 23

Management of Sediment Accumulation 24

CONCLUSIONS 25

REFERENCES 26

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT 37

ABSTRACT 37

INTRODUCTION 38

OBJECTIVES 40

METHODS 40

Site Description 40

Snow Sampling 41

Laboratory Analyses 41

Batch Settling Experiments 41

iii

RESULTS AND DISCUSSION 42

PM and PSD 42

Batch Settling Supernatants Snow PM and PSD 43

Batch Settling Supernatants Snowmelt PM and PSD 44

Turbidity 45

Batch Settling Supernatants Snow Turbidity 46

Batch Settling Supernatants Snowmelt Turbidity 47

CONCLUSIONS 48

REFERENCES 49

APPENDIX A CHARACTERIZATION OF RUNOFF amp WETLAND SEDIMENT A-1

iv

LIST OF FIGURES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Diagram of stormwater treatment wetland located near intersection of highways SR 28 and SR 89 in Tahoe City CA 33

2 Accretion rates of major plant and algal nutrient elements C N P and S 34

3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff 35

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada) 57

2 PSDs of source area snow with a cumulative gamma distribution fit to the median of source area PSDs 58

3 PSDs and corresponding turbidity relationships for PM batch settling of CALTRANS SMA snow and Firestation 5 snow 59

4 PSDs and corresponding turbidity relationships for PM batch settling of Lake Parkway snowmelt and Takela Dr snowmelt 60

5 PM fractions of snow supernatants and snowmelt supernatants after zero one six and 24 hours 61

6 Probability density function of total PM of source area snow and snowmelt samples 62

LIST OF TABLES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Wetland basin and watershed characteristics 30

2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil 31

3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years 32

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Locations of sampling (site numbers correspond to marked locations presented in Figure 1) 54

2 Statistical summary of PM concentrations and turbidity for source area snow source area snowmelt Lake Tahoe ambient water and control snow 55

3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution parameters for batch supernatants of snow and snowmelt 56

v

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 4: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

RESULTS AND DISCUSSION 42

PM and PSD 42

Batch Settling Supernatants Snow PM and PSD 43

Batch Settling Supernatants Snowmelt PM and PSD 44

Turbidity 45

Batch Settling Supernatants Snow Turbidity 46

Batch Settling Supernatants Snowmelt Turbidity 47

CONCLUSIONS 48

REFERENCES 49

APPENDIX A CHARACTERIZATION OF RUNOFF amp WETLAND SEDIMENT A-1

iv

LIST OF FIGURES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Diagram of stormwater treatment wetland located near intersection of highways SR 28 and SR 89 in Tahoe City CA 33

2 Accretion rates of major plant and algal nutrient elements C N P and S 34

3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff 35

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada) 57

2 PSDs of source area snow with a cumulative gamma distribution fit to the median of source area PSDs 58

3 PSDs and corresponding turbidity relationships for PM batch settling of CALTRANS SMA snow and Firestation 5 snow 59

4 PSDs and corresponding turbidity relationships for PM batch settling of Lake Parkway snowmelt and Takela Dr snowmelt 60

5 PM fractions of snow supernatants and snowmelt supernatants after zero one six and 24 hours 61

6 Probability density function of total PM of source area snow and snowmelt samples 62

LIST OF TABLES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Wetland basin and watershed characteristics 30

2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil 31

3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years 32

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Locations of sampling (site numbers correspond to marked locations presented in Figure 1) 54

2 Statistical summary of PM concentrations and turbidity for source area snow source area snowmelt Lake Tahoe ambient water and control snow 55

3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution parameters for batch supernatants of snow and snowmelt 56

v

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 5: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

LIST OF FIGURES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Diagram of stormwater treatment wetland located near intersection of highways SR 28 and SR 89 in Tahoe City CA 33

2 Accretion rates of major plant and algal nutrient elements C N P and S 34

3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff 35

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada) 57

2 PSDs of source area snow with a cumulative gamma distribution fit to the median of source area PSDs 58

3 PSDs and corresponding turbidity relationships for PM batch settling of CALTRANS SMA snow and Firestation 5 snow 59

4 PSDs and corresponding turbidity relationships for PM batch settling of Lake Parkway snowmelt and Takela Dr snowmelt 60

5 PM fractions of snow supernatants and snowmelt supernatants after zero one six and 24 hours 61

6 Probability density function of total PM of source area snow and snowmelt samples 62

LIST OF TABLES

CONSTRUCTED WETLAND TREATMENT EVALUATION

1 Wetland basin and watershed characteristics 30

2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil 31

3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years 32

BATCH SETTLING FOR SNOW AND SNOWMELT TREATMENT

1 Locations of sampling (site numbers correspond to marked locations presented in Figure 1) 54

2 Statistical summary of PM concentrations and turbidity for source area snow source area snowmelt Lake Tahoe ambient water and control snow 55

3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution parameters for batch supernatants of snow and snowmelt 56

v

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 6: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

LIST OF ACRONYMS

BMP Best management practice

CALTRANS California Department of Transportation

CGD Cumulative gamma distribution

DON Dissolved organic nitrogen

DRI Desert Research Institute

EPA United States Environmental Protection Agency

FSP Fine sediment particle (lt16 microm)

HS Hydrodynamic separator

LD Laser diffraction

LOI Loss-on-ignition (550degC)

LRWQCB Lahontan Regional Water Quality Control Board (CA)

LSPA Laser particle size analysis

NDEP Nevada Division of Environmental Protection

NPDES National Pollutant Discharge Elimination System

NTU Nephelometric turbidity units

PC Percent Composition

PM Particulate matter

PSD Particle size distribution

SE Standard error (of the mean)

SMA Snow management area

SS Suspended sediment

SSC Suspended sediment concentration [mg L-1]

TCWTS Tahoe City Wetland Treatment System

TKN Total Kjehldahl nitrogen

TMDL Total Maximum Daily Load

TP Total phosphorus

TRPA Tahoe Regional Planning Agency

TSS Total suspended solids [mg L-1]

UOP Unit operation

VS Volume of sample [L]

vi

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 7: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

BACKGROUND

Lake Tahoe has long been renowned for its exceptional clarity which decreased over time with development and urbanization in the basin (Goldman 1988) Although urban areas in the Tahoe Basin occupy a relatively small amount of the total watershed they contribute a substantial portion of pollutant loadings that have caused clarity loss in the lake It is estimated that 72 of the total loading for fine sediment particles (FSP) derive from urban areas while 38 of total phosphorus and 16 of total nitrogen derive from this same source (LRWQCB and NDEP 2011) Since fine particles (lt16 microm) and nutrients both contribute to clarity reductions in Lake Tahoe (Jassby et al 1999 Swift et al 2006) these are the focus of current pollutant reduction strategies with an emphasis on reduction in FSP loading (LRWQCB and NDEP 2008) However the characterization of these particles in relation to other water quality parameters and in relation to effective methods for particle removal in stormwater runoff from roadways and urban areas are not well understood Evaluating processes responsible for FSP and nutrient removal will allow these factors to be considered in the design of erosion control projects and BMPs to help reduce fine sediment and nutrient loading to Lake Tahoe

Overall BMP effectiveness in the Lake Tahoe Basin has been reviewed and synthesized in a number of documents (eg Reuter and Miller 2000 Reuter et al 2001 Strecker et al 2005 2NDNATURE 2006) Although some BMPs have been extensively monitored for their performance in the Lake Tahoe Basin these studies tend to be the exception In particular the fine sediment particles (lt16 microm) that significantly affect lake water clarity have not been well studied and a better understanding is needed of their characteristics and of the processes involved in fine sediment removal with typical treatment methods Even at the national level information on how these fine soil particles in stormwater runoff are trapped and processed in BMPs is largely unavailable (International Stormwater BMP Database) The success of both the Lake Tahoe TMDL and the Tahoe Environmental Improvement Program (EIP) will depend upon a more detailed understanding of the transport and fate of these fine particles within BMPs for effective water quality planning prioritization for new BMP installations quantification of BMP effectiveness and for general BMP design operation and maintenance

Given the significant expected cost associated with nutrient and FSP load reductions needed in the Tahoe Basin and the fact that this effort will occur over a decadal timeframe (Lahontan and NDEP 2008) it is relevant to examine the characteristics of urban runoff water treatment associated with fine sediment particles and other important water quality characteristics such as turbidity total and size fractionated suspended solids and phosphorus loading This information will be needed for improved management models and to determine the effectiveness of fine sediment removal by processes and unit operations that target this removal in different types of BMPs

1

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 8: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

OBJECTIVES

The overall goal of this project was to extend our understanding of treatment for urban and roadway runoff priority pollutants in relation to BMP effectiveness in the Tahoe Basin These objectives included three primary areas of inquiry

Assess functional relationships between fine sediment particle concentrations turbidity fractional suspended solids and phosphorus in urban stormwater runoff

Provide information on the potential efficiency of fine particle removal from urban runoff in wetland treatment systems and in settling basins for roadway snow and snowmelt treatment

Evaluate how well pollutant removal processes for sediment particles and nutrients perform over the typical life cycle period of a constructed treatment wetland

Initially the approach for this project was focused on evaluating performance characteristics in the Tahoe City Wetland Treatment System as part of a constructed stormwater system implemented in 1998 Unfortunately that wetland had reached its end-of-life cycle due to accumulated material and hydraulic short-circuiting so it was taken off-line during the course of this project Efforts were refocused on evaluating the material accumulated within this basin over its lifespan as a treatment wetland and to use this information as an indication of performance and treatment capacity A companion study examined the clarification of sediment particles in snowmelt as a function of batch settling time Some additional analyses and tests on urban and highway runoff samples from the Tahoe Basin were conducted to evaluate characteristics relevant to treatment processes and pollutant removal

The overall approach taken in this project was to

1) Analyze stormwater runoff samples for distribution of fine sediment particle concentration turbidity and size-fractionated nutrient content

2) Collect sediment cores from a stormwater wetland treatment basin at its end-of-life cycle and analyze these to establish nutrient and fine sediment retention characteristics

3) Evaluate batch settling characteristics of sediment particles as a function of time for urban and highway snowmelt in the Tahoe Basin

4) Develop recommendations for restoration and management of stormwater treatment wetlands and roadway snowmelt treatment systems in the Tahoe Basin

PRESENTATION FORMAT

The purpose of this report is to provide an assessment of specific factors relevant to stormwater treatment best management practices (BMPs) in the Lake Tahoe Basin This document contains two professional papers prepared for publication in peer-reviewed

2

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 9: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

journals and also presents results from ancillary analyses conducted during the course of this project that are not included in the professional papers

The first chapter is a study on the Tahoe City Wetland Treatment System (TCWTS) This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line by Placer County Department of Public Works in 1998

The second chapter is a study on the clarification of particulate matter in snowmelt treatment systems as a function of batch settling time Sampling sites were selected to represent transportation land use source areas and snow management within the Tahoe Basin

Figures and tables follow the text of each chapter after references cited In the Appendix we provide additional information on the analysis of Tahoe stormwater samples after laboratory fractionation by particle size and similarly present the results from analysis of TCWTS sediment cores after size fractionation Information on calibrated relationships between FSP and turbidity are provided in a previous report (Heyvaert et al 2015)

KEY FINDINGS

Sediment accumulation in the constructed treatment wetland averaged 32 centimeters per year Over the 16-year period of active use this material accretion raised the sediment surface approximately 51 centimeters which was sufficient to interfere with hydrologic function so that excavation ultimately was required to restore capacity prevent bypass and reestablish proper flow paths The wetland was taken offline and allowed to drain for about six months before cores were extracted in fall of 2014

Excavation in the following year removed about 2360 cubic yards of dewatered material from the wetland This material consisted of dry senescent surface vegetation over an organic-rich layer (52 organic) which overlaid a predominately inorganic mineralized layer (7 organic) The inorganic layer represented about 91 of total accumulated mass by dry weight (excluding surface vegetation)

Composition of major nutrients was higher in the organic horizon than in the mineral horizon of the accumulated sediments Mean concentrations by dry mass in the organic and mineral horizons respectively were 0153 and 0045 for phosphorus 14 and 018 for nitrogen 276 and 26 for carbon The majority of total sediment mass accumulated in the mineral horizon however so accretion rates of nutrients were higher in this layer than in the organic layer

Total soil accretion rates in the wetland basin by dry mass were 37 g m-2 y-1 for phosphorus 177 g m-2 y-1 for nitrogen and 280 g m-2 y-1 for carbon

Total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm indicating an FSP accretion rate of 38ndash42 kg m-2 y-1

3

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 10: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

Accretion of nutrients metals and inorganic sediments in the Tahoe City constructed treatment system was much higher than found in natural wetlands This finding corresponds with the typical difference in yield between small urban drainages and larger more natural watersheds Annual mass yield to the constructed wetland from the Tahoe City drainage for example was 1232 kg ha-1 yr-1 compared to yields ranging from 084ndash163 kg ha-1 yr-1 for the ten Lake Tahoe Interagency Monitoring Program (LTIMP) watersheds

Settleable (lt75 microm) and suspended (lt25 microm) particulate matter (PM) in roadway snow samples collected at sites in the south Tahoe region ranged from 1156ndash8512 mg L-1 while equivalent fractions of PM in roadway snowmelt runoff samples ranged from 1360ndash2270 mg L-1 These are very high concentrations compared to control samples of snow (distant from anthropogenic sources) and ambient lake water samples that averaged ~10 mg L-1 Furthermore roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Most of the total mass for PM in roadway snow and snowmelt samples was contained in the sediment (gt75 microm) fraction (85ndash95 by mass) Batch settling experiments were conducted to examine the characteristics of snow and snowmelt PM removal by gravity sedimentation processes After one hour of settling the roadway source snow and snowmelt samples consisted almost entirely (99) of suspended and settleable PM (lt75 microm)

With extended batch settling time the PM suspension became progressively finer until floc formation occurred This resulted in a supernatant zone over a separate settling zone of coarser floc within six to 24 hours Even after 24 hours of settling however the sample supernatants remained highly enriched with suspended PM lt25 microm The PM in roadway snow supernatants ranged from 146 to 341 mg L-1 while the snowmelt runoff supernatants ranged from 177 to 1572 mg L-1 Similarly after 24 hours of batch settling the turbidity of all snow and snowmelt supernatants remained high ranging from 146 to 1572 NTU Thus discharge after detention treatment may exceed TRPA or LRWQCB standards

Size fractionated stormwater runoff samples showed that on average about 85 of turbidity and TP measured in unfiltered samples was associated with the lt20 microm size fraction while approximately 55 of turbidity and 57 of TP was associated with the lt10 microm size fraction For suspended sediment about 59 was in the lt20 microm fraction and 40 was in the 10 microm size class Thus by interpolation only ~11 of suspended particle mass in these stormwater samples was contained in the 10ndash16 microm size fraction Capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity

Fractionated size analysis of sediments cores from the Tahoe City wetland showed high percentage accumulations associated with the smaller size classes (lt10 microm) For example about 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Fine particle associations with TP were

4

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

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Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 11: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

even higher with 73 and 41 contained in the lt10 microm and lt5 microm size fractions respectively Similarly for turbidity in core suspensions 65 was associated with the lt10 microm fraction and 42 as associated with the lt5 microm size class

MANAGEMENT IMPLICATIONS

Most of the phosphorus in urban stormwater runoff is associated with the FSP (lt16 microm) fraction and more than half of that is contained and transported by the lt10 microm size fraction Similar results were found with turbidity and sediment loading This suggests that best management practices (BMPs) should place increasing emphasis on the retention of lt10 microm particle size fractions

Wetland retention basins efficiently combine the physical properties of a retention basin with the biological characteristics of wetlands The Tahoe City system was designed to remove nutrients and fine sediments from urban runoff through retention basin physical processes and wetland basin biological properties It was so successful in meeting these goals that it ultimately accumulated too much material and needed to be restored after 16 years of useful performance

Retention of fine silt and clay-sized particles was much greater than would be expected from a stormwater retention basin without wetland function which likely contributed to the relatively high rates of phosphorus and FSP removal including the retention of sediment size fractions finer than 10 microm

Ultimately accumulated soils in treatment systems must be excavated to maintain treatment performance and storage capacity Experience with the Tahoe City treatment system suggests this would likely occur on a 15ndash25 year cycle depending on input rates and management strategies

Bulk density of sediments in the Tahoe City treatment system was much lower than typical of most wetland soils Subjecting wetland basins to periodic lowering of the water surface would create more consolidation and less elevation rise which could increase life-cycle periods Similarly periodic draw-down followed by mechanical soil compaction could be useful at extending the time period before restoration maintenance is required

More frequent soil removal strategies could be applied in a block-wise manner to allow recolonization from existing vegetation This would reduce revegetation costs and maintain treatment performance on a continual basis without incurring the high cost associated with less frequent full-basin excavations

Soils removed from wetland treatment systems in the Tahoe Basin could be used for creating compost or for soil amendments in restoration projects While concentrations of metals and other elements (Zn Cu Fe Mn B Na) in the Tahoe City wetland soils were somewhat elevated they did not present harmful concentrations for these applications

5

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 12: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

Roadway snow and snowmelt runoff are important sources of PM and other associated pollutants Indeed roadway snow and snowmelt PM concentrations are typically about an order of magnitude higher than PM concentrations in rainfall runoff

Sedimentation based BMPs are one of the most common applications for treatment of runoff water quality However clarification is often limited by time before flushing and available storage volume While most of the total PM mass in Tahoe roadway snow and snowmelt consists of coarse particle sizes gt75 microm which is easily removed by gravity settling both turbidity and fine particle concentrations are dominated by the lt25 microm size fraction which requires extended detention time for removal Even after 24 hours of batch settling the persistence of high levels of suspended PM demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

REFERENCES

2NDNATURE LLC 2006 Lake Tahoe BMP Monitoring Evaluation Process Prepared for USFS Lake Tahoe Basin Management Unit October 2006

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6) 1321-1333

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Jassby AD JE Reuter RC Richards and CR Goldman 1999 Origins and scale dependence of temporal variability in the transparency of Lake Tahoe California-

Nevada Limnology and Oceanography 44(2) 282-294

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2008 Lake Tahoe TMDL Pollutant Reduction Opportunity Report v20 Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV March 2008

6

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 13: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Reuter JE and WW Miller 2000 Aquatic resources water quality and limnology of Lake Tahoe and its upland watershed p215-402 In DD Murphy and CM Knopp (eds) The Lake Tahoe Watershed Assessment Vol 1 USDA Forest Service Pacific Southwest Research Station Gen Tech Rep PSW-GTR-178176

Reuter JE AC Heyvaert M Luck and S Hackley S 2001 Land Use Based Stormwater Runoff Monitoring and Evaluation of BMP Effectiveness in the Tahoe Basin In Investigations of Stormwater Monitoring Modeling and BMP Effectiveness in the Lake Tahoe Basin Report prepared for the Tahoe Regional Planning Agency and the California State Water Resources Control Board 205j Grant November 30 2001

Strecker E J Howell A Thayumanavan and M Leisenring 2005 Lake Tahoe basin Stormwater BMP Evaluation and Feasibility Study Prepared for Lahontan Regional Water Quality Control Board and UCD Tahoe Research Group by GeoSyntec Consultants July 2005

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

7

THIS PAGE INTENTIONALLY LEFT BLANK

8

ACCRETION OF NUTRIENTS AND SEDIMENT BY A CONSTRUCTED STORMWATER TREATMENT WETLAND

IN THE LAKE TAHOE BASIN

by

Robert G Qualls1

Alan C Heyvaert2

1University of Nevada Reno NV 2Desert Research Institute Reno NV

ABSTRACT

A wetland stormwater retention basin was established in 1998 and reached its useful lifetime in 16 years The wetland was designed to serve a particularly important role in removing sediment and nutrients from runoff to one of the worldrsquos most well-known ultrashyoligotrophic lakes We used coring to measure the accretion of major nutrients and metals over a period of 16 years The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P and S was greater than in most natural wetlands The average annual accretion rates in g m-2 yr-1 were as follows C 280 N 177 P 374 S 380 Fe 194 Mn 268 Ca 308 Mg 307 K 122 Na 254 Zn 0858 Cu 0203 and B 003 The sediment and O horizon together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff Comparison of the particle size distribution between sediment cores and suspended solids in stormwater runoff indicated that the wetland was efficient in trapping fine silt and even clay sized particles Sediment cores contained 25 clay and 56 silt These fine fractions have been implicated in the majority of P flux to Lake Tahoe A majority of the accretion of most metals and P could be attributed to the efficient trapping of sediment while over half of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production Consequently the wetland retention basin very efficiently combined the physical properties of a detention basin with the biological properties characteristic of wetlands

9

INTRODUCTION

Stormwater retention basins of various types have become one of the most common small water bodies in urban residential and agricultural landscapes throughout the developed world For example there were over 1000 stormwater detention ponds in one county alone (Hillsborough County Florida US) in 2014 (Betts and Alsharif 2014) The International Stormwater Best Management Practices Database lists 39 detention basins 68 retention ponds 30 wetland basins and 25 composite basins that are intensively monitored for input and output concentrations (Leisenring et al 2014) Stormwater retention ponds and detention basins are designed to have adequate volume to retain stormwater for long enough periods to settle suspended solids Fine particle sizes are well known to contain a large portion of phosphorus and metals because of their higher adsorption capacity (Lilienfein et al 2004) Wetlands are well known for the processes of denitrification sedimentation and plant uptake of N P and metals as well as the process of C sequestration (Mitsch and Gosselink 2015) However wetlands without a long hydraulic retention time may suffer erosion and less net sedimentation (Mitsch et al 2014) and many natural wetlands tend to reach equilibrium with elevation rise (Mitsch et al 2014) A created wetland may combine the advantages of a stormwater retention pond and a wetland if the depth necessary for a long retention time can be balanced against the requirement that the depth not be too great for the growth of wetland plants and if bulk accumulation does not excessively raise water levels

Lake Tahoe in the subalpine Sierra Nevada of the US is an ultra-oligotrophic lake that is world renowned for its clarity (Goldman 1988) As a consequence the best management practices for protecting the lake from stormwater runoff are particularly demanding Phosphorus is currently the primary limiting nutrient for algal production and thus protection from runoff of fine particulate matter is very important (Sahoo et al 2013 Sinaj et al 1997) Historically concentrations of other nutrients such as N Fe and Mo have also been found to limit algal production at various times (Goldman 1964) In part because of the clarity of the lake the basin also attracts a great deal of traffic and the watershed area is about 24 impervious surface with almost half of that comprised of roads which tend to

be close to the lake shore (OrsquoNeil‐Dunne et al 2014) In addition the high snowfall creates

the need for high rates of application of road deicing sand and salt (Fan et al 2014) The Tahoe City stormwater detention wetland was constructed in 1997 to prevent runoff from the Tahoe City urban and suburban area into the lake The requirements were particularly demanding because of the extreme sensitivity of Lake Tahoe to nutrient inputs of P and fine sediment that also impacts the clarity of the near-shore environment (Sahoo et al 2012)

A number of simple detention ponds and retention basins have been constructed around the Lake Tahoe Basin but success in retention of fine silt and clay has been limited as has been the experience in such basins on a national scale (Goldman et al 1986) The basin that is described in this article was a combination of the concepts of a retention basin and a constructed wetland The concept is not unique since about 15 studies documented in the

10

International Wetland BMP study were some combination of basins and wetlands (Leisenring et al 2014) The basin simultaneously combines sedimentation with a second-stage biological processing that can be likened to advanced wastewater treatment However this study is of unique importance because we were able to measure the result of 16 years of sedimentation and organic matter production over the useful lifetime of the wetland basin Short term measurements of input and output inevitably suffer from the exponential influence of floods and fail to integrate the long term processes such as vegetation growth that may vary as the basin fills Most impoundment lakes created ponds and stormwater retention basins inevitably fill with sediment and their depth becomes inadequate for the purpose (Morris and Fan 1998) Consequently one of the rationales of this study was to document the accretion rate of sediment over a time period that corresponded to the raising of wetland surface to a point that impeded flow At the Tahoe City constructed wetland this rise in surface appeared to indicate an extraordinary rate of accretion of nutrients and metals

One initial concern when establishing a treatment wetland in the Lake Tahoe Basin was the subalpine winter precipitation and summer drought climate pattern in which most runoff occurs during winter and with snowmelt periods It was feared that the biological processes that were important in wetlands (eg denitrification and plant uptake) would be inactive during the winter when most small water bodies were frozen In 2005 this question was the title of a published paper ldquoCan constructed wetlands reduce the diffuse phosphorus loads to eutrophic water in cold temperate regionsrdquo (Braksterud et al 2005) The paper illustrated the international scope of the concern A study in water year 2003 compared inflow and outflow concentrations of nutrients to the Tahoe City wetland Not only were concentrations of nitrate total N total P and total suspended solids reduced by 83 49 66 and 74 respectively but the concentrations of NO3-N were reduced during winter storms and snowmelt runoff events (Heyvaert et al 2006) Since snowmelt in the Sierra Nevada Mountains is accompanied by a pulse in nitrate concentrations (Sickman et al 2003) nitrate removal may be most important during these periods There was also a concern that ice would reduce the volume available for hydraulic retention Consequently we believed the results of this study will be of interest to wetland scientists in subalpine or boreal climates throughout the world

Based on the rationale presented in the previous paragraphs we evaluated the following hypotheses

(1) Rates of accretion of C N P Fe Mn Ca K Zn Cu and B are higher than is representative of natural wetlands (eg Mitsch et al 2014)

(2) Accretion of C and N is largely associated with in situ organic matter production

(3) Over 50 of the concentrations of P and most metals are spatially associated with inorganic matter concentrations

11

(4) Concentrations of Zn and Cu are higher than normal for area soils and indicate metal contamination from highway runoff

(5) The wetland effectively removed fine sediment particles of clay and very fine silt

To evaluate these hypotheses we cored through the sediment and O horizon that had accumulated over 16 years of stormwater treatment and analyzed for total concentrations of nutrient elements including metals that are plant nutrients We compared the particle size distribution of accreted soil to that of suspended solids in runoff to evaluate Hypothesis 5 Total elemental concentrations were used because they are related to requirements for total maximum daily loads (Sahoo et al 2012) and they are a common tool for geochemical analysis of sediment origin (Ijmker et al 2012) that takes into account the fact that many elements (eg N) undergo transformations in situ We also measured the average annual rise in elevation of the surface We used a form of end-member analysis to determine which nutrients were mainly associated with organic or inorganic matter We also used concentrations of Zn and Cu to evaluate the role of contamination from highway runoff Finally we discuss the options for renewal of the wetlandrsquos capacity for removing nutrients

METHODS

SITE DESCRIPTION

The Tahoe City wetland was constructed in 1997 to treat stormwater runoff from 23 ha (56 acres) of commercial (24) residential (38) roadway (21) and vegetated (17) land use areas with stormwater conveyed to the wetland site by underground culvert Located near the intersection of highways 89 and 28 in Tahoe City CA this system was designed to store and treat the 20-year one-hour storm equivalent to about 25 cm of precipitation It consists of two treatment cells in series The inlet forebay discharges to a detention basin followed by a larger wetland basin with a 292 m sinuous flow path from inlet to outlet (Figure 1) The upper basin has a maximum design water surface area of 2320 m2 while the lower basin has a maximum design surface area of 4046 m2 Over time both cells evolved toward less open surface with a mix of vegetation that includes macrophytes in the genera Typha Scirpus Juncus and Carex and floating plants in the genus Lemna Wet pool volume varies with season and events but is estimated to average about 600 m3 between events with most of that in the lower basin

The soil in which the basin was excavated is one of the Tahoe series a coarse-loamy mixed superactive acid frigid Cumulic Humaquept (Soil Survey Staff 2016) The ldquosuperactiverdquo nomenclature refers to the mixture of alluvium derived from an andesitic lahar and granodiorite The material derived from the andesitic lahar may include allophane and short-range order iron oxyhydroxides which have a high adsorption capacity for phosphate (Lilienfein et al 2004) Our observations suggested that the basin was excavated to the C horizon The aquic suborder indicates a seasonally high water table The C horizon is described as containing redoximorphic concentrations of both reduced (low chroma) and

12

oxidized (high chroma) Fe Another soil in the watershed is one of the Marla series a sandy mixed frigid Aquic Dystroxerept The Marla series is similar to the Tahoe series but tends to be derived from granitic parent alluvium and is slightly higher on the landscape The Marla soil series has a geochemical characterization for total elemental content that comprises most of the elements included in our study (Soil Survey Staff 2016) Other soils on more steeply sloping land of the watershed include the Kingsbeach series a fine-loamy isotic frigid Ultic Palexeralf the Tahoma series a fine-loamy isotic frigid Ultic Haploxeralf and on the upper slopes the Jorge series a loamy-skeletal isotic frigid Andic Haploxeralf The isotic and andic nomenclature reflects the volcanic origins of the parent material All soil series were described as free of carbonates and the pH ranged from 5 to 6

Another source of sediments in the basin could be pulverized fractions derived from traction sand (aggregates added to icy roads to improve traction) Typical sand sources include alluviual soils from adjacent regions that are difficult to distinguish from low-lying soils in the watershed of the treatment watershed

SAMPLING AND ANALYSIS

Seven soil cores 464 cm in diameter were taken along three transects of the wetland for physical characterization and chemical analysis Companion cores were also collected at five of these locations for particle size analysis (Figure 1) The material lying above the original surface was unconsolidated and the transition was indicated by a very distinct and obvious change in the resistance to penetration of the coring device The depth to the bottom of the core from the current surface was measured with a meter stick so that compression of the core would not affect the depth measurement All cores suffered some degree of compression Further excavation with a shovel indicated that there were two horizons a histic epipedon of about 20 cm and a fine grained mineral sediment below The histic epipedon consisted of an Oi horizon with plant litter underlain by a combination of fibric and histic material based on rubbed fiber content The histic epipedon (referred to as the O horizon hereafter) was later separated and analyzed separately from the underlying mineral sediment The O horizon had a Munsell color value of 3 and the mineral sediment was gleyed with a chroma of 1 When wet the mineral sediment did not show any redoximorphic masses of oxidized iron but when dried it did show spots of high chroma (75 YR 66) indicating iron oxidation Cores were sliced lengthwise in the lab and photographed Distinct striations were observed in the sediment in the lower portion of the sediment cores

Soils were dried at 60˚C sieved though a 500 microm hole size sieve and then weighed The O horizon was ground in a Wiley Mill A subsample was dried at 105˚C weighed and then combusted at 450˚C to measure loss on ignition Subsamples were analyzed for total C and total N using dry combustion in a LECO CN-2000 C-N Analyzer (LECO St Joseph MI USA) at the Oklahoma State University Soil Water and Forage Analytical Laboratory (Stillwater OK USA) The same laboratory also digested the samples in nitric-perchloric

13

acid and measured the total content of P S Fe Mn Ca Mg K Na Zn Cu and B using a Spectro CirOs ICP (inductively coupled plasma emission) Spectrometer (SPECTRO Analytical Instruments Inc Mahwah NJ) Analytical variability (as indicated by the coefficient of variation) was less than 2 of the mean for C and N analyses and less than 5 for metals

The average annual accretion rate over 16 years for each element and the mass of ash was calculated as (g dry mass depth of core) (core area 16 yr)

While C content was used as a measure of organic matter content for most results in one case (for end-member analysis discussed below) it was useful to estimate percent C in organic matter instead The percentage loss-on-ignition (LOI) is often used as a measure of organic matter content A linear regression of percent LOI versus C concentration gave the following result C = (0548 LOI) ndash 099 with a correlation coefficient (R) of 0997 The slope of the regression was interpreted as an estimate of percent C in the end member of volatile organic matter alone (548 C)

Particle size analysis was conducted on companion cores that were not dried for analysis but instead washed in bulk with deionized water through a 2 mm sieve to remove coarse organic material The particle size distribution (PSD) on resulting suspension was determined by laser diffraction analysis with a Saturn DigiSizer 5200 (Micromeritics Instrument Corp Norcross GA) equipped with a liquid sample handling unit and integrated sonication probe Samples were dispersed with Na-hexametaphosphate Laser particle size analysis (LPSA) data were interpreted by Mie theory algorithm with a specified lsquorealrsquo refractive index of 1550 and an lsquoimaginaryrsquo refractive index of 0100 for particles in suspension Results are reported in frequency distributions as suspended particle percentage volumes at half-phi size breaks from 12 to 0 (Krumbein 1934 Krumbein and Sloss 1963) which correspond to size classes on a log scale from 024 to 1000 microm

STATISTICAL ANALYSES

To evaluate hypotheses 2 and 3 we used a simple mixing equation (binary mixing model)

F1 = (Cmix - C2) (C1 - C2) 100 (1)

where F1 is the proportion of end-member 1 in the mixture (in percent)

C1 is concentration of end-member 1

C2 is concentration of end-member 2 and

Cmix is concentration of the mixture

(Houndslow 1995) Also F1 + F2 = 1

14

Our hypothesis was related to the current spatial variation in elemental composition of two end members that comprised the soil inorganic matter and organic matter To evaluate hypotheses 2 and 3 we used measured values of F1 F2 and Cmix to calculate C1 and C2 the concentrations of each element in hypothetical end members (100 organic matter or 100 inorganic matter) In a first step we dealt only with the current statistical association of elements with these two end members realizing that some elements had been transformed after being deposited (eg N) A correlation was calculated between all elemental concentrations (and ash content) In a second step the concentrations of ash and C were used as proxies for the concentrations of organic and inorganic matter where 97 ash and 0 C corresponded to 100 inorganic matter Then regressions were performed between ash and the concentration of each element as well as between C and the concentration of each element In a third step the intercepts of these regressions at 0 C and 548 C were used to calculate the concentrations C1 and C2 of each element statistically associated with inorganic matter and organic matter as it varied spatially Because ash and C concentration were inversely related we did not attempt multiple regression with the two as independent variables Then we constructed an elemental composition of the two end members based on this analysis The proportion of each accounting for the accretion rate for each element due to ldquomixingrdquo of these two end members was then calculated

Two other end member analyses also used equation 1 to estimate the contribution of allochthonous C and in a second case sediment from highway runoff For each or these analyses we used assumptions to estimate C1 and C2 in the end-members and solved for F1 and F2 using equation 1

All errors associated with the mean are shown as standard error of the mean unless otherwise indicated and reflect spatial variation among cores with some contribution of analytical variation

RESULTS

The surface of the wetland soil rose in elevation by 32 (plusmn 03) cmyr for a total of 510 (plusmn 52) cm over the 16 yr period of accumulation The depth was more variable than many other properties (presented subsequently) because of the shape of the basin (Figure 1 and Table 1) The unconsolidated nature of the sediment and O horizon was reflected in a low bulk density of only 024 (plusmn 003) gcm3

The average concentration of C in the O horizon was 276 (plusmn 15) which was above that necessary to classify it as a histic epipedon but there also was a significant amount of inorganic sediment mixed with the organic material as indicated by an ash content of 483 (plusmn 38) (Table 2) In the mineral horizon the C concentration was only about 10 of that in the O horizon but no sample of the mineral horizon had less than 167 C (not shown) and ash content averaged 93 The ratios of CN were 200 (plusmn 19) in the O horizon

15

and 141 (plusmn 04) in the mineral horizon The ratios of CP however were much lower in the mineral horizon than in the O horizon as indicated by a one-sided t-test (Plt 005)

Among the metals Fe was by far the highest in concentration (Table 2) despite its susceptibility to reduction-oxidation (redox) reactions Another metal sensitive to reduction and oxidation is Mn which was 73 times lower in concentration in the mineral horizon than Fe Sodium is used for road deicing in winter but was only present in concentrations averaging 0135 in the O horizon The heavy metals Cu and Zn were present in concentrations over 100 microg g soil in the O horizon but were at much lower concentrations in the mineral horizon (Table 2) as indicated by one sided t-tests (P lt 005) The ratios of ZnCu however were similar in both horizons (ratios ranging from 3-4) The micronutrient B was only present in concentrations of less than 10 microg g soil (Table 2)

The end-member analysis resulted in grouping the elements into those statistically (with a significant regression Plt 005) associated with organic matter (group ldquoOrdquo) and those associated mainly with inorganic matter (group ldquoIrdquo) as shown in Table 2 Elements for which the ratio on the two end members was less than 10 to 1 ie associated with both organic and inorganic matter were termed group ldquoMrdquo (ie of ldquomixedrdquo association) The macronutrients N and S were strongly associated with organic matter (Table 2) The metals Zn Cu and Na were also significantly associated with organic matter although Na had the weakest correlation (R = 081 Table 2) In contrast the metals Fe Mn and Mg were strongly associated with inorganic matter with R values for the correlation with ash content from 097 to 059 (Table 2) The comparison of Fe and Mg is relevant for the fact that Fe but not Mg is redox reactive (Table 2) Of the nutrient elements that are associated with both inorganic and organic matter concentrations P is most notable because the intercept where C = 0 (Table 2) and the mean concentration of P in the mineral horizon were similar (0038 vs 0045) suggesting a substantial portion of the P in the mineral horizon is associated with inorganic matter

The wetland spatial distribution of the elements Mg Fe and Mn was fairly uniform among cores in the mineral horizon The standard errors were only 5 of the mean for Fe and Mg and 15 for Mn (see Table 2 for the SE) These were the elements most closely correlated with inorganic matter (ash) In contrast the spatial distribution of C among cores was more variable

The end-member analysis in which each hypothetical end-member would be either 100 inorganic matter or 100 organic matter resulted in the following elemental compositions For 100 organic matter the concentrations were 28 N 027 P 081 S 013 Fe lt0001 Mn 103 Ca 042 Mg 033 K 027 Na 1228 microg g Zn 180 microg g Cu For 100 inorganic matter the concentrations were 005 N 0038 P 0003 S 270 Fe 0035 Mn 037 Ca 023 Mg 016 K 0018 Na 45 microgg Zn and 18 microg g Cu Boron was not significantly correlated with either The end member compositions corresponded to the groupings indicated in Table 2 as ldquoOrdquo ldquoIrdquo or ldquoMrdquo

16

Accretion rates for the four major nutrient elements are shown in Figure 2 with the relative contributions of both O and mineral (I) horizons to total accretion indicated The organic horizon contributed from 28 to 41 of the total accretion for C N and S but only about 15 of the P total accretion Since dry mass of the inorganic (mineral) horizon comprised over 90 of the total core mass however (not shown) its contribution to total accretion was still over 50 for each of these elements The accretion rates of other elements are shown in Table 3 Watershed yields (accretion rates scaled up to the 22 Ha watershed area) are shown in Table 2 for comparison to literature sources (see Discussion)

Results from laser particle size analysis (LPSA) were very similar between cores showing a slightly bimodal distribution with peak concentration by volume at the 16 microm size class In general this followed the pattern of PSD measured in stormwater inflow to the treatment system (Figure 3) Stormwater inflow samples collected from 2003ndash2012 were analyzed by LPSA and show that most of the suspended sediment was delivered as silt (63 by volume) with approximately equivalent amounts received as both sand (21) and clay (16) Size distribution shifted slightly toward smaller particles in sediment compared to mean stormwater particle distribution with 19 by volume in sand 56 in silt and 25 in clay Coarse sand particles (gt500 microm) presumably dropped out in either the forebay or detention basin resulting in negligible concentrations in the wetland basin sediment cores (Additional data on geochemical characteristics associated with particle size in the wetland sediment and Tahoe Basin stormwater are provided in the Appendix of this report)

DISCUSSION

ACCRETION RATES

Stormwater retention basins are designed to remove sediments that are often mainly inorganic while wetlands are renowned for accumulating organic matter The Tahoe City wetland combined both these properties and had high accretion rates of both C and inorganic matter compared to values for natural wetlands in the literature A summary of values for C accretion rates in wetlands was compiled by Bernal and Mitsch (2012) Comparison of 23 temperate inland wetlands from literature gave a median of 131 g C m-2 yr-1 which was lower than the value of 280 g C m-2 yr-1 in the current study However created wetlands with high hydraulic and nutrient loading rates can have much higher rates of C N and P accretion Bernal and Mitsch (2013) contrasted two created wetlands (the Olentangy wetlands) with a natural wetland in the same region of Ohio and found that C accretion was 70 greater in the two created wetlands (267 plusmn 17 and 219 plusmn 15 g C m-2 yr-1) In the two created wetlands the N and P accretion rates were 18 and 21 g N m-2 yr-1 for N and 33 and 35 g P m-2 yr-1 (Mitsch et al 2014) These values for the Olentangy riverine wetlands are very comparable to those found in the Tahoe City wetland for C N and P accretion (Table 3) The Olentangy wetlands were also sampled 15 years after creation which is similar to the age of the Tahoe City wetland (16 yr) Because of the relatively narrow range of CN ratios in wetland soils we believe the N accretion rates of the natural wetlands in the literature

17

review (Bernal and Mitsch 2012) were also lower than in these created wetlands The rates of C burial in lakes and ponds of the conterminous US is a mean of 46 g C m-2 yr-1 and a median of 31 g C m-2 yr-1 which are much lower than found in this study (Clow et al 2015)

However rates of C burial in reservoirs where the sedimentation rate is much higher gave a mean of 149ndash363 g C m-2 yr-1 (Clow et al 2015) which was more comparable to the rates of C accretion reported in this article

Phosphorus assimilation of wetlands summarized from a large database (including both natural and treatment wetlands) suggested that the long-term assimilative capacity was 1 g P m-2 yr-1 although they could exceed this capacity in the early stages (Richardson et al 1996) The P accretion rate of both the Tahoe City wetland and the Olentangy wetlands (Mitsch et al 2014) exceeded this rate by almost 4 times in their first 15ndash16 yr after creation

Chemical fractionation and digestion would be necessary to distinguish the forms of P in the Tahoe City wetland but in suspended sediments of Ward Creek near the study site Ferguson (2006) found that 25 was bioavailable Of total P 67 was inorganic and 33 was organic In urban runoff from Tahoe City however 36 was bioavailable while 64 was inorganic P Thus statistical correlation between organic matter and P in the soil of the wetland basin is similar to that found by fractionation of the suspended sediments This distribution between organic P and inorganic P is typical for wetland soils (Qualls and Richardson 1996) Consequently our results lent support to hypothesis 3 but storage of organic P in the O horizon was still a significant portion of the accretion

The annual accretion rates for N and P from the wetland sediment cores correspond remarkably well with measurements of retention during a single year (calculated from inflow minus outflow concentration expressed as g m-2 yr-1) (Heyvaert et al 2006) The retention was 13 g total N m-2 yr-1 and 32 g total P m-2 yr-1 compared to 177 for N and 37 for P accretion in the cores (Figure 2) The slightly greater accretion of N could conceivably have been due to N fixation by cyanobacterial mats or simply difference in the loads over time The inflow concentrations to the Tahoe City wetland in 2003 tended to be similar to those from other commercial and highway areas of the Tahoe Basin but were relatively high compared to other watersheds with less urban land use (Heyvaert et al 2006) Also water year 2013 precipitation was about 90 of average over the 16-year period (NRCS SNOTEL site 809 in Tahoe City)

Sediment accumulation rates in urban stormwater ponds and constructed wetlands vary considerably More and Hunt (2012) reported accretion rates compiled from various studies ranging from 01 to 13 kg m-2 yr-1 High accretion rates can lead to a rapid rise in base elevation that ultimately limits the useful life of treatment systems Slow elevation rise would be considered something less than 125 cm yr-1 In the absence of site-specific accretion data the USDA Natural Resources Conservation Service recommends a minimum design standard of 254 cm yr-1 for constructed treatment basins (NRCS 2010) The Tahoe City wetland

18

accretion rate averaged 32 cm yr-1 Sedimentation (accretion) rates in the Olentangy wetlands (Mitsch et al 2014) ranged from 12 to 14 cm per year or 60 kg m-2 yr-1 which was comparable to the rate of mass accretion found in the Tahoe City wetland (769 kg m-2 yr-1) although the rate of elevation rise was greater in the Tahoe City wetland Mitsch et al noted that their average rate was very high compared to most wetlands because the wetlands were created in excavated basins undergoing ldquoprimary successionrdquo that were filling with sediments whose source was riverine water with substantial loads of sediment They noted that created wetlands generally have very high hydraulic loading rates high sediment loads and are newly created basins in contrast with natural wetlands where elevation rise is more in equilibrium with periodic erosion or decomposition The Tahoe City wetland fit into this pattern because it was also initially an excavated basin whose bottom was below the inflow and outflow elevations Another example of seven constructed wetland basins in Sweden specifically designed to trap sediment and phosphorus from water with high sediment and water loads of agricultural watersheds was summarized by Johannesson et al (2015) The sedimentation rates ranged from 13 to 108 kg m-2 yr-1 a range that encompassed the rate in the Tahoe City wetland but was far greater than most natural wetlands Rates of sedimentation in reservoirs of the conterminous US averaged 44 cm yr-1 (Clow et al 2015)

In the Tahoe City wetland the low spatial variability of Fe Mg and Mn concentrations that were associated with the inorganic sediments filling the basin suggested that sediment entered the wetland was evenly distributed and then settled Given the findings of Mitsch et al (2014) that rates of sedimentation on the order of 60 kg m-2 yr-1 are high and from our finding of association of metals with inorganic sediment accretion we conclude that rates of accretion of metals are also high in the Tahoe City wetland compared to most Thus measured rates of accretion of C N P and metals in the Tahoe City wetland supported hypothesis 1

One factor contributing to the rise in surface elevation that eventually impeded flow through the system was low bulk density of the unconsolidated soil material (Table 1) The bulk density in the Tahoe City wetland (Table 1) was only about 52 of that found in the sediments and accumulated organic matter in the Olentangy wetlands (Mitsch et al 2014) The buoyant force of the water in a continuously saturated wetland (or pond) as well as the content of low density organic matter contributed to low bulk density Wetlands or stormwater retention basins that experience periodic lowering of the water surface may experience more consolidation and less elevation rise but increased mineralization of C and N may be an associated cost

Watershed yield of total N (Table 3) was similar to that for an average for the State of California (Smith and Alexander 2000) Sediment yield however substantially exceeded the watershed yields from Tahoe Basin streams Rios et al (2014) summarized data from ten USGS monitored streams and compared these to the suspended sediment yield from Barton Creek near Tahoe City with values ranging from a low of 084 kg ha-1 yr-1 at Logan Creek to

19

a high of 163 kg ha-1 yr-1 at Third Creek In Barton Creek which is much less densely urbanized than Tahoe City the sediment yield was 816 kg ha-1 yr-1 compared to 1232 kg ha-1 yr-1 into the Tahoe City wetland This illustrates the tremendous load put onto relatively small treatment systems compared to larger drainage areas (290ndash14200 km2) with more natural conditions and less relative impervious area (05ndash79)

Despite the gleyed color of the soil Fe concentrations were similar to those of surrounding lowland soils of the watershed Wetland soils tend to lose Fe by reduction and leaching There may have been some reduction and leaching of Fe but the Fe content was still comparable to the surrounding soils at the time of sampling The export of Fe particularly reduced Fe is regarded as critical since Fe has been found to be limiting to algal growth of phytoplankton in Lake Tahoe (Goldman 1964) However the wetland was responsible for trapping a very large load of Fe in the accreted inorganic matter before it could be transported to Lake Tahoe or the Truckee River In this case the wetlandrsquos role as a stormwater retention basin which promoted the settling of sediments was probably the most important factor Mn is another redox reactive element but the concentrations were far lower than those of Fe (Table 2)

Pollution of Na from salt applications to roads has resulted in elevated concentrations in lakes and damage of vegetation in cold climates over the developed world Large quantities of Na are distributed on the roads of the Tahoe Basin each year where the average annual snowfall is 467 m (in Tahoe City) Since 22 of the watershed of the Tahoe City wetland is comprised of roads we might expect some excess salinity in the wetland However total Na is no higher than it is in the dominant soil type (the Tahoe series) Salt damage to roadside vegetation is common in the Lake Tahoe Basin (Fan et al 2014) There was evidence that Na was more concentrated in the O horizon closer to the surface (Table 2) which might indicate aerial deposition In fact Fan et al (2014) found that aerial spray from traffic and wind caused the greatest proportion of tree damage and was mostly confined to areas 10 m from roads

Boron is a plant micronutrient but it can be toxic to plants depending on the concentration Boron concentration can reach toxic levels in geothermal areas of the region (Smith et al 2013) but concentrations were relatively low in the wetland

ORIGINS OF MATERIAL ACCRETED IN THE WETLAND

Elemental composition is frequently used to infer the origin of sediments (eg Janneke et al 2012) Elemental composition in the mineral horizon correlated best with the B horizon of the Marla soil series compared to other soil series in the watershed that had geochemical data (Soil Survey Staff 2016 query ldquogeochemical datardquo) The correlation of concentrations of the elements listed in Table 2 vs the concentrations in the Marla soil geochemical data were significant with an R2 of 08 (Zn Cu and B were not included because they were not analyzed in the Soil Survey data) Concentrations of total Fe Mg and Mn Ca and K in the wetland mineral horizon were lower than in soils from the backslope

20

areas of the watershed (the Tahoma and Jorge series) This comparison suggests that most of the material came either from alluvial soils of the watershed or from traction sands with similar alluvial origins but not predominantly from erosion of the surrounding mountain slopes The concentration of C in the mineral horizon of the wetland was lower than in the A horizons of the soils of the watershed which also suggests that erosion of A horizon material was not the major source of sediment

ACCRETION OF ALLOCHTHONOUS VS AUTOCHTHONOUS ORGANIC NUTRIENT ELEMENTS

There is no simple way to measure the contributions of allochthonous C N and S to the accretion rate without a detailed budget of sediment in the inflow and outflow and net primary production over the 16 year period But with two assumptions we can make an estimate The mineral horizon had a minimum C concentration of 167 If we assume this value represents the C concentration in incoming sediment we can estimate the C accretion due to sediment inflow Assumption number two is that the organic matter originating from allochthonous source material contained 4 ash based on another study (Qualls and Richardson 2000) The additional C in the mineral horizon would then result primarily from root production In the O horizon there was also deposition of sediment as indicated by the concentration of inorganic matter but the balance of C would result from net primary production Using these two assumptions a mixture of sediment with 167 organic matter in the mineral horizon with 26 C would indicate that the difference of 093 C concentration resulted from root litter production in the mineral horizon In the O horizon we used the concentration of ash in the O horizon as a conservative tracer in equation 1 The contribution of sediment in the O horizon was estimated to be 50 of the mass but only 31 of the total C Thus 969 of the C in the O horizon was estimated to come from autochthonous C Using these percentages and the mass of C in each horizon (Tables 2 and 3) we estimated that 587 of the accretion of C in the whole soil profile had originated from autochthonous C The estimate was most sensitive to assumption 1 while the presumption of the ash content of decomposed litter was not critical (lt1 difference for a 50 difference in ash content) Consequently the contribution of the plant production in the wetland was the most important component of C accretion but sedimentation of allochthonous C was also a significant process

In the case of N the origins and end state are more complex because it is likely that most N entered the wetland as allochthonous inputs some of which were inorganic The very close association of C and N (R = 094) and the representative nature of the CN ratios (Mitsch and Gosselink 2015) for the end state of the wetland suggest that most N is bonded in association with the C resulting from primary production The rapid accumulation of the large O horizon resulting from net primary production required N to be taken up and deposited as organic matter that accumulated in the anaerobic conditions of the soil The fact that the O horizon was histic is evidence of inhibited re-mineralization of the cycled N If we do the same calculation (as outlined in the previous paragraph for the origins of C) for

21

nitrogen currently associated with the C originating from autochthonous production we estimate that 538 of the N is associated with autochthonous C This percentage is equivalent to an accretion rate of 11 g N m-2 yr-1 However the N entering the wetland had more diverse origins In the study of N inflow and outflow in 2003 (Heyvaert et al 2006) about 50 of the total N in the inflow was dissolved inorganic N (mostly nitrate) and about 59 of that was retained by the wetland The fate of this inorganic N could have included plant uptake and denitrification The estimate of total N retained by the wetland from the inflow minus outflow budget was 13 g N m-2 yr-1 a rate that is similar to the estimate of accretion currently associated with autochthonous C (95 g N m-2 yr-1) and the balance can be more than accounted for by N bound to C in the allochthonous sediment To account for the rapid accumulation of organic N associated with autochthonous C the demand exerted by uptake of vegetation alone could have accounted for most removal of N from inflow

Perhaps the most comparable rate of denitrification in the literature would be from the Olentangy wetlands where the denitrification rate was 27 g N m-2 yr-1 which accounted for only 2 of the N inflow (Batson et al 2010) In the Olentangy wetlands there was also evidence that plant uptake competed with denitrification for available nitrate That denitrification rate was also within the range of the other freshwater wetland studies reviewed in that study A review of N fixation rates in wetlands found them to mainly be less than 1 or 2 g N m-2 yr-1 but small scale measurements in cyanobacterial mats can be higher (Keddy 2010) In summary our findings support hypothesis 2 that a majority of C and N was eventually stored in association with plant production

EVIDENCE OF HIGHWAY RUNOFF

Since concentrations of major metals such as Fe and Mg may be similar in soils and highway runoff Zn and Cu have been used instead as tracers for highway runoff (Sriyaraj and Shutes 2001) Zn and Cu are products of tire and brake wear in particular and occur in highway runoff in elevated concentrations (Caltrans 2003) Concentrations in the O horizon of the Tahoe City wetland were much higher than in surrounding soils that have Zn and Cu analyses (Smith et al 2013) and are in a range termed ldquohighrdquo for levels of metal contamination in sediments as given by the Swedish Environmental Protection Agency (reported in Sriyaraj and Shutes 2001) The study of Sriyaraj and Shutes (2001) was particularly applicable since it concerned highway runoff from the M25 highway near London into a wetland and a retention pond Concentrations of Zn and Cu in the sediment were elevated compared to a control wetland They found that roots and rhizomes of Typha latifolia tended to concentrate Zn and Cu However the wetland and pond were effective in reducing the concentrations of heavy metals to acceptable concentrations in water flowing out Other studies have found that both Zn and Cu are taken up as micronutrients by wetland plants in greatly elevated concentrations when exposed to elevated concentrations in water or sediment (Shutes et al 1993 Weis and Weis 2004) and this effect is the basis for phytoremediation In fact the concentrations of Zn and Cu in the upper and lower depths of

22

soil in a study of a metal contaminated wetland in Spain are very similar to those in the O and mineral soil of the Tahoe City wetland (Weis and Weis 2004) Decomposing Typha litter has also been found to concentrate Cu by a factor of four by bacterial immobilization during decomposition (Qualls and Richardson 2000) Shutes et al (1993) also found that concentrations of 10 mgl Zn or Cu in solution in a dosing study were not toxic to growth of Typha latifolia so we do not believe that concentrations of Zn and Cu found in the O horizon would be toxic to plant growth in the Tahoe City wetland

There is also a possibility that the higher concentration in the O horizon was caused by aeolian deposition or aerosols from traffic but the findings of similar affinity for organic matter in other studies suggests that concentration by plant uptake may also be likely As with other elements the accretion of excess Zn and Cu prevented its transport to adjacent water bodies

The use of Zn and Cu as tracers may also provide a rough estimate of how much highway runoff contributed to the wetland if several assumptions can be made As one ldquoend-memberrdquo representing highway runoff we used concentrations of Zn and Cu in suspended sediments (1047 microgg for Zn and 165 microgg for Cu) which was the average for California highway runoff (Caltrans 2003) The second end-member was the concentration of Zn and Cu in the mineral horizon because it was in the range of local soils and sediments Using these as ldquoend membersrdquo we calculate that 3 of total mass in the O and mineral horizons may have originated as particulates from car wear sources in highway runoff This estimate can only be approximate because of the assumptions that have to be made It does not include suspended sediment derived from traction sand applied to road surfaces in winter or abrasion of the road surface because the bulk of these materials are obtained from alluvial soils similar to those used for end member analysis but it does provide an order of magnitude estimate of car wear particulates in highway runoff contributing to accretion of the wetland

PARTICLE SIZE DISTRIBUTION

The cores show high levels of fine particle retention by the wetland with over 25 of the sediment concentration represented by clay (lt4 microm) and an additional 56 represented by silt (lt63 microm) This is much better than most BMPs can achieve based simply on sedimentation processes (see next chapter) The mechanism producing a bimodal peak in sediment core PSD (Figure 3) is not understood but may represent preferential scavenging or disaggregation of silt-size particles during transport through the treatment system or during analysis

Clay size particle retention was notably efficient given the moderate hydraulic residence time of this stormwater basin (15ndash48 hr) In a study of two Norwegian wetlands constructed to mitigate arable field erosion Braskerud (2003) showed that clay particle retention was better than expected from modeling predictions based on Stokesrsquo Law He attributed this to particle aggregation during transport that effectively increased the

23

particulate settling velocities normally expected from clay size particles That interpretation was subsequently confirmed by microscopic thin-section analysis (Sveistrup et al 2008) Additional wetland properties such as interception and capture by wetland plant fiber and attached biofilms can also contribute to fine particle retention beyond what is expected simply from their settling characteristics This was tested in laboratory flume experiments (Fauria et al 2015) using synthetic vegetation with stormwater created from Tahoe road dust They demonstrated that biofilm and vegetative stem density both increased fine particle capture rates

MANAGEMENT OF SEDIMENT ACCUMULATION

Like most stormwater retention basins or treatment wetlands with high sediment loading the capacity of the basin must be renewed at some time due to sediment accretion Options for renewal or maintenance may include the following listed from more ldquopassiverdquo to more ldquoactiverdquo and expensive ones (1) Levee or berm height may be raised to increase the capacity (2) Deep zones may be excavated parallel to flow in order to trap some additional sediment (3) Water elevation may be drawn down to promote consolidation of the sediment and O horizon (4) Water elevation may be drawn down and the soil mechanically compacted with a backhoe rammer or tracked vehicle (5) Soil may be excavated leaving monoliths of vegetation that can recolonize the surface (6) After drawdown of the water soil may be excavated and placed on the berms so that leached water will drain back into the wetland basin (7) After drawdown soil may simply be excavated windrowed to dry loaded and removed from the site

Each of these options has advantages disadvantages and costs Option 1 allows increased water depth and the vegetation can remain intact But the elevation of the inflow and outflow structures may limit the elevation of the wetland surface as was the case with the Tahoe City wetland where the inflow culvert began backing up The low bulk density of unconsolidated sediment was a factor that contributed to the rise in surface elevation in the Tahoe City wetland as it does in others (eg in the Lake Apopka wetland Coveney et al 2002) Drawdown is a frequently used strategy in management of lake impoundments to compact the sediment but it may not be completely effective (US Army Corps of Engineers 1987) A version of option 4 drawdown with mechanical compaction to double the bulk density would allow a longer lifetime (about an extra eight years in the case of the Tahoe City Wetland) and the soil density would still be representative of many wetland soils Many rhizomes would likely survive the compaction and provide for revegetation Option 5 would remove a large percentage of the sediment but would also remove the cost of replanting the vegetation Option 6 is a modification of the concept recommended by the US Army Corps of Engineers (1987) for disposing of sediment in large reservoirs to simultaneously raise dikes For a small wetland retention basin it would also have the advantage that it would remove the sediment but allow nutrients mineralized and leached from the excavated sediment to flow back into the wetland for reprocessing However there

24

must be sufficient area on berms and the perimeter to accommodate the excavated material The slopes must be less than the angle of repose and the piles would have to be seeded to prevent erosion Excavation and removal from the site is probably the most expensive option but would renew the original capacity As long as the soil is not placed back into an anaerobic environment much of the C accumulated by the wetland would not be sequestered over the long term if disposed of in aerobic conditions Under most of the options drawdown or disturbance is likely to create a pulse of nutrients that must be contained for as long as possible before being allowed into the outflow (Kadlec and Wallace 2009) The list of options presented above may serve as a useful guide to any form of treatment wetland or stormwater retention basin

Basins with high sediment loads are the ones with the most limited useful lifetimes but they are also perhaps the ones that are most needed for water quality improvement The Olentangy wetlands have high sedimentation rates similar to that in the Tahoe City wetland and Mitsch et al (2014) made a projection of the time remaining before they ldquofill uprdquo at a couple of decades The design of the Olentangy wetlands water delivery system allowed a degree of flexibility since the water was pumped up from the river to an elevation above the pool Passive drainage inflow systems may not have that degree of flexibility But if passive drainage systems can be designed to allow for eventual elevation of the wetland surface it may allow for passive approaches such as option 1 above to extend the useful lifetime

CONCLUSIONS

The Tahoe City wetland was designed to remove nutrients and sediments from urban and residential runoff before they entered Lake Tahoe to help preserve its ultra-oligotrophic status It was so successful in meeting these goals that it accreted sediment and organic matter to the point that it reached its useful lifetime in 16 years The opportunity to measure the accretion rates of elements over such a long period of time presented an unusual opportunity to quantify the long-term removal of nutrients and metals and compare it to the limited number of studies in which long term accretion of nutrients have been measured The wetland accumulated mass by sedimentation of allochthonous material and net primary production of organic matter Accretion of C N P S and metals was greater than in most natural wetlands A high rate of sedimentation and the growth of a large O horizon by net primary production together accreted 32 cm of depth per year and 70 kg m-2 yr-1 of inorganic material The wetland was efficient in trapping fine silt and even clay sized particles a result that may not be expected in most stormwater retention basins but was likely very important in removing P The rates of sedimentation and accretion of C N and P were remarkably similar to those measured in the Olentangy wetlands created wetlands which had a similar age (15 yr at the time of measurement Mitsch et al 2014) high inputs of sediment laden river water and high rates of net primary production That a created wetland in a sub-alpine climate could maintain similar rates is notable and has implications for other wetlands in cold temperate or sub-boreal regions of the world

25

Concentrations of most metals indicated a source from the soils in the watershed but Zn and Cu concentrations in the organic horizon were characteristic of heavy metal pollution from highway runoff A majority of the accretion of most metals and P could be attributed of the efficient trapping of sediment while a substantial proportion of the accretion of C and N could be attributed to the accumulation of autochthonous organic matter from net primary production We conclude that wetland retention basins very efficiently combine the physical properties of a retention basin with the biological properties characteristic of wetlands

REFERENCES

Batson JA Uuml Mander and WJ Mitsch 2012 Denitrification and a Nitrogen Budget of Created Riparian Wetlands Journal of Environmental Quality 41 p 2024-2032

Bernal B and WJ Mitsch 2012 Comparing Carbon Sequestration in Temperate Freshwater Wetland Communities Global Change Biology 18 1636ndash1647 doi 101111j1365-2486201102619

Bernal B and WJ Mitsch 2013 Carbon Sequestration in Two Created Riverine Wetlands in the Midwestern United States Journal of Environmental Quality 421236-44 doi 102134jeq20120229

Betts AT and KA Alsharif 2014 Assessment of a Countywide Stormwater Pond Improvement Program Urban Water Journal 11 11-19

Braskerud BC 2003 Clay Particle Retention in Small Constructed Wetlands Water Research 373793ndash3802

Braskerud BC KS Tonderski B Wedding R Bakke AG Blankenberg B Uleacuten and J Koskiaho 2005 Can Constructed Wetlands Reduce the Diffuse Phosphorus Loads to Eutrophic Water in Cold Temperate Regions Journal of Environmental Quality 342145minus2155

Caltrans 2003 Storm Water Monitoring amp Data Management ldquoDischarge Characterization Reportrdquo Report CTSW-RT-03-0655142 California Dept of Transportation Sacramento Ca

Clow DW SM Stackpoole KL Verdin DE Butman Z Zhu DP Krabbenhoft and RG Striegl 2015 Organic Carbon Burial in Lakes and Reservoirs of the Conterminous United States Environmental Science and Technology 497614-7622 DOI 101021acsest5b00373

Coveney MF D L Stites EF Lowe LE Battoe and R Conrow 2002 Nutrient Removal from Eutrophic Lake Water by Wetland Filtration Ecological Engineering 19141ndash159

Fan Y PJ Weisberg and RS Nowak 2014 Spatio-Temporal Analysis of Remotely-Sensed Forest Mortality Associated with Road De-Icing Salts Science of the Total Environment 472 929-938

26

Fauria KE RE Kerwin D Nover and S Geoffrey Schladow 2015 Suspended particle capture by synthetic vegetation in a laboratory flume Water Resources Research 519112ndash 9126

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Goldman CR 1964 Primary Productivity and Micronutrient Limiting Factors in Some North American and New Zealand Lakes Verhandlungen der Internationalen Vereinigung fuumlr Theoretische und Angewandte Limnologie 15365-374

Goldman CR 1988 Primary productivity nutrients and transparency during the early onset of eutrophication in ultra-oligotrophic Lake Tahoe California-Nevada Limnology and Oceanography 33(6)1321-1333

Goldman SJ K Jackson and TA Bursztynsky 1986 Erosion and Sediment Control Handbook McGraw Hill New York NY 454 pp

Heyvaert AC JE Reuter and CR Goldman 2006 Subalpine Cold Climate Stormwater Treatment With a Constructed Surface Flow Wetland Journal of the American Water Resources Association 4245-54

Houndslow AW 1995 Water Quality Data Analysis and Interpretation Lewis Publishers Boca Raton Fl USA 399 p

Ijmker J G E Stauch K Dietze B Hartmann G Diekmann S Lockot B Opitz Wuumlnnemann and F Lehmkuhl 2012 Characterization of Transport Processes and Sedimentary Deposits by Statistical End-Member Mixing Analysis of Terrestrial Sediments in the Donggi Cona Lake Catchment NE Tibetan Plateau Sedimentary Geology 281166ndash179

Johannesson KM P Kynkaumlaumlnniemi B Uleacuten SEB Weisner and KS Tonderski 2015 Phosphorus and Particle Retention in Constructed Wetlandsmdasha Catchment Comparison Ecological Engineering 8020ndash31

Kadlec RH and S Wallace 2009 Treatment Wetlands (Second Edition) CRC Press Boca Raton Florida

Keddy PA 2010 Wetland Ecology Principles and Conservation (Second Edition) Cambridge University Press Cambridge UK

Krumbein WC 1934 Size frequency distributions of sediments J Sed Petrology 4 65-77

Krumbein WC and LLSloss 1963 Stratigraphy and Sedimentation (Second Edition) W H Freeman and Company San Francisco CA

Leisenring M J Clary and P Hobson 2014 International Stormwater Best Management Practices (BMP) Database Pollutant Category Statistical Summary Report Solids Bacteria Nutrients and Metals Water Environment Research Federation International Stormwater BMP Database (wwwbmpdatabaseorg accessed 1112016

27

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628

McCarty G Y Pachepsky and JA Ritchie 2009 Impact of Sedimentation on Wetland Carbon Sequestration in an Agricultural Watershed Journal of Environmental Quality 38804-13 doi102134jeq20080012

Mitsch WJ L Zhang E Waletzko and B Bernal 2014 Validation of the Ecosystem Services of Created Wetlands Two Decades of Plant Succession Nutrient Retention and Carbon Sequestration in Experimental Riverine Marshes Ecological Engineering 7211shy24

Mitsch WJ and JG Gosselink 2015 Wetlands Fifth Edition John Wiley and Sons New York New York

Mitsch WJ SM Nedrich SK Harter C Anderson AH Nahlik and B Bernal 2014 Sedimentation in Created Freshwater Riverine Wetlands 15 Years of Succession and Contrast of Methods Ecological Engineering 7225ndash34

More TLC and WF Hunt 2012 Ecosystem service provision by stormwater wetlands and ponds ndash A means for evaluation Water Research 466811-6823

Natural Resources Conservation Service (USDA NRCS) 2010 Conservation Practice Standard Constructed Wetland National Handbook of Conservation Practices Code 656 July 2010

OrsquoNeil‐Dunne J D Saah T Moody T Freed Q Chen and J Moghaddas 2014 Mapping

hard and soft impervious cover in the Lake Tahoe Basin using LiDAR and multispectral images a pilot study of the Lake Tahoe Land Cover and Disturbance Monitoring Plan Report to US Forest Service Pacific Southwest Research Station httpwwwfsfeduspswpartnershipstahoesciencedocumentsp077_ImperviousSurface 2010_FinalReportpdf

Qualls RG and CJ Richardson 2000 P enrichment affects litter decomposition immobilization and soil microbial P in wetland mesocosms Soil Science Society of America Journal 64799-808

Richardson CJ S Qian CB Craft and RG Qualls 1996 Predictive Models for Phosphorus Retention in Wetlands Wetlands Ecology and Management 4 pp 159-175

Rios DT S Chandra and AC Heyvaert 2014 The importance of small urbanized watersheds to pollutant loading in a large oligotrophic subalpine lake of the western USA Environmental Monitoring and Assessment 1867893-7907

Rowe TG DK Saleh SA Watkins and CR Kratzer 1998 Streamflow and Water Quality Data for Selected Watersheds in the Lake Tahoe Basin California and Nevada through September 1998 US Geological Survey Water Resources Investigations Report 02-4030 Carson City NV 117 p

28

Sahoo GB DM Nover JE Reuter AC Heyvaert J Riverson and SG Schladow 2012 Nutrient and particle load estimates to Lake Tahoe (CAndashNV USA) for Total Maximum Daily Load establishment Science of the Total Environment 444579ndash590 doi101016jscitotenv201212019

Shutes RBE JB Ellis DM Revitt and TT Zhang 1993 The Use of Typha latifolia for Heavy Metal Pollution Control in Urban Wetlands In GA Moshiri (Editor) Constructed Wetlands for Water Quality Improvement Lewis Publishers Boca Raton Fl US pp 407-414

Sickman JO A Leydecker CCY Chang C Kendall JM Melack DM Lucero and JP

Schimel 2003 Mechanisms Underlying Export of N from High‐Elevation Catchments

During Seasonal Transitions Biogeochemistry 641‐32

Smith DB WF Cannon LG Woodruff F Solano JE Kilburn and DL Fey 2013 Geochemical and Mineralogical Data for Soils of the Conterminous United States US Geological Survey Data Series 801 19 p httppubsusgsgovds801

Smith R A and R B Alexander 2000 Sources of Nutrients in the Nations Watersheds In Managing Nutrients and Pathogens from Animal Agriculture Proceedings from the Natural Resource Agriculture and Engineering Service Conference for Nutrient Management Consultants Extension Educators and Producer Advisors March 28minus30 2000 Camp Hill PA

Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture 2016 Web Soil Survey httpwebsoilsurveynrcsusdagov

Sriyaraj K and RBE Shutes 2001 An Assessment of the Impact of Motorway Runoff on a Pond Wetland and Stream Environment International 26433- 439

Sveistrup TE V Marcelino and BC Braskerud 2008 Aggregates explain the high clay retention of small constructed wetlands a micromorphological study Boreal Environment Research 13275ndash284

Sinaj S E Frossard and J C Fardeau 1997 Isotopically exchangeable phosphate in size fractionated and unfractionated soils Soil Science Society of America Journal 611413ndash 1417

US Army Corps of Engineers 1987 Confined Disposal of Dredged Material EM 1110-2shy5027 Washington DC httpwwwpublicationsusacearmymilPortals76PublicationsEngineerManualsEM_1 110-2-5027pdf

Weis JS and PW Weis 2004 Metal Uptake Transport and Release by Wetland Plants Implications for Phytoremediation and Restoration Environment International 30685 ndash 700

Wetzel RG 2001 Limnology of Lake and River Ecosystems Third Edition Academic Press San Diego Ca 1006 p

29

Table 1 Wetland basin and watershed characteristics The first seven features are cited from Heyvaert et al (2006) while the others were measured during this study

Characteristic Unit Measurement (plusmnSE)

Wetland Basin Area m2 4046

Watershed Area Ha 23

Impervious Surface Area watershed 21

WetlandWatershed Area 176

Wetland Pool Volume m3 600

Residence Time during Storms hr 15-48

Average Annual Water influx (2003) m3 109090

Average Sediment Depth cm 510 (plusmn 52)

Average rise in sediment surface cmyr 32 (plusmn 03)

Bulk Density (total of O and mineral horizons) g cm3 024 (plusmn 003)

30

Table 2 Concentrations or ratios of elements and ash in the mineral and O horizon of wetland soil Standard error of the mean is shown to the right of the mean and reflects spatial variability between cores The correlation (R value) is shown for cases where there was a significant positive or negative correlation with C or ash content Absence of R indicates a non-significant relationship (ns at alpha 005) or non-applicability (na) because of inter-correlation with C or ash The intercept at an ash concentration corresponding to 0 C concentration is shown as an indication of the concentration associated with inorganic material alone ldquoGrouprdquo indicates elements associated mainly with organic matter (O) mixed inorganic and organic matter (M) or inorganic matter (I)

Mineral O Intercept R Correlation R Correlation

Element Unit Horizon SE Horizon SE where Group With C With ash

mean Mean C = 0

C 260 031 276 15 na -0997 na O

N 018 002 14 01 094 -093 005 O

P 0045 002 0153 001 093 -091 0038 M

S 0035 0006 0403 0012 099 -097 0003 O

Fe 257 005 122 007 -098 097 270 I

Mn 0035 0002 0018 0005 -061 059 0035 M

Ca 0389 0013 0710 0018 097 -096 037 M

Mg 0404 0008 0320 0016 -085 086 035 M

K 0151 0008 0238 0062 ns ns 016 M

Na 0028 0002 0135 0028 081 -082 012 O

Zn microgg 88 11 677 36 095 -093 45 O

Cu microgg 22 085 107 12 083 -080 18 O

B microgg 38 02 59 05 082 -085 na M

CN ratio 141 04 200 19 na na na na

CP ratio 57 4 185 18 na na na na

Ash 930 05 483 38 -0997 na 097 I

31

Table 3 Average annual accretion rates and watershed yields of nutrients and metals over 16 years The watershed yield is not shown (na) for C because much of the C may have originated from autochthonous production

Unit for Total Soil Watershed YieldElement SE SE Group

Accretion Rate Accretion Rate (Kg Ha-1 yr-1)

C g m-2 yr-1 28000 3000 na na O

N g m-2 yr-1 1770 180 312 031 O

P g m-2 yr-1 374 044 0657 0077 M

S g m-2 yr-1 380 042 0667 0073 O

Fe g m-2 yr-1 19400 3300 3420 57 I

Mn g m-2 yr-1 268 049 0472 0086 M

Ca g m-2 yr-1 3080 220 541 080 M

Mg g m-2 yr-1 3070 491 540 086 M

K g m-2 yr-1 1220 220 214 038 M

Na g m-2 yr-1 254 035 0447 0061 O

Zn g m-2 yr-1 0858 012 0151 0022 O

Cu g m-2 yr-1 0203 0035 0036 0006 O

B g m-2 yr-1 003 0005 0005 0001 M

Inorganic kg m-2 yr-1 700 111 123200 195 I

matter

Total Mass kg m-2 yr-1 769 118 135300 208 na

32

Figure 1 Diagram of stormwater treatment wetland located near intersection of highways SR

28 and SR 89 in Tahoe City CA Line diagram taken from design specification drawing while colored overlay shows depth profile from 2006 survey Cored sites in the basin are indicated by filled circles (site cored for both geochemical analyses and for particle size analysis) or unfilled circles (site cored only for geochemical analysis)

33

Figure 2 Accretion rates of major plant and algal nutrient elements C N P and S The units of g m2 yr-1 are an average over the 16 years of time since establishment of the basin Note that the units of C accretion are plotted on the right axis to facilitate the presentation of rates that varied by a factor of 10 The error bars are the standard error of the mean of 7 cores for the total accretion rate taken across three transects to reflect spatial variability

34

Figure 3 Particle size distributions of sediment from cores of the wetland basin compared to those of suspended sediments from stormwater runoff Both were obtained from a laser scattering particle size analyzer Vertical lines mark the borderline phi (Krumbein and Sloss 1963) diameters of clay (lt 39 microm) silt (39 to 63 microm) and sand (gt 63 microm) fractions The integrated areas indicated 25 clay 56 silt and 19 sand in the sediment Stormwater inflow represents the average distribution (plusmnSE) from samples (n = 89) collected between 2003ndash2012 The corresponding percentages in the stormwater runoff were 16 clay 63 silt and 21 sand for suspended sediment

35

THIS PAGE INTENTIONALLY LEFT BLANK

36

CLARIFICATION OF PARTICULATE MATTER IN SOURCE AREA SNOWMELT AS A FUNCTION OF BATCH

SETTLING TIME

by

Julie R Midgette1

John J Sansalone1

Alan C Heyvaert2

1University of Florida Gaininesville FL 2Desert Research Institute Reno NV

ABSTRACT

For urban areas located in cold regions transportation land use snow is exposed to particulate matter (PM) and anthropogenic chemical loadings from traffic and maintenance activities This source area snow is a porous reservoir of PM and chemicals Snowmelt can transport significant loads of these constituents to receiving waters with deleterious impacts to pristine aquatic ecosystems such as Lake Tahoe This study examines the clarification of hetero-disperse PM as a function of batch settling time from source areas in the Lake Tahoe watershed After one hour of batch settling approximately 99 of PM mass remaining suspended was less than 25 microm With extended batch settling time the PM suspension became progressively finer until floc formation occurred resulting in a separate settling zone of coarser flocs within six to 24 hours After 24 hours of batch settling snowmelt remained highly enriched with PM and turbidity ranging from (146-1572 mg L-1) and (143-436 NTU) in the suspension Although sedimentation is effective at separation of coarser sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

37

INTRODUCTION

Snow whether as snowfall or snow subject to management activities in the built environment of cold regions is a repository of particulate matter (PM) and metal loadings largely as a result of traffic and winter maintenance practices such as application of grit and deicing compounds Although in the western United States (US) snowmelt is a vital water resource urban snowmelt significantly contributes to annual loadings of PM and metals (Oberts 2000 Magill and Sansalone 2010) For a given diameter a raindrop has lower specific surface area (SSA) than a snowflake of equivalent diameter (Ying and Wania 2004 Sansalone et al 1998) Additionally the slower settling velocity of snowflakes compared to spherical raindrops result in a more efficient scavenging of chemicals than that of rainfall (Glen et al 2002 Hoff et al 1998 UNESCO 2000) The large total surface area (SA) and slow velocity of snowflakes result in a more effective substrate for chemicals as compared to rainfall (Glenn and Sansalone 2002) Furthermore the porous structure of a snowpack (04 to 09 porosity) and the extended residence times of plowed snow banks to traffic loads (hours to months) increase snow concentrations of PM and chemical species in comparison to rainfall-runoff (Kuroiwa 1998 Ozeki et al 2002 Sansalone and Buchberger 1996 Sansalone and Glenn 2002)

Subsequent snowmelt from urban areas transports significant loads of PM and chemicals into receiving waters with acute and chronic impacts to aquatic ecosystems Irrespective of chemical solutes and partitioning of PM-based chemical species PM has an impact on aquatic organisms by retarding or preventing development of fish eggs by occluding spawning beds resulting in high mortality rates (EPA 1986) Also suspended PM attaches to developing eggs and prevents adequate exchange of oxygen and carbon dioxide between eggs and the surrounding water (EPA 1986) The relatively high heat absorbency of PM increases the temperature near surface waters which prevents vertical mixing and consequently decreases the solubility of dissolved oxygen and nutrients to the lower portions of the water column (EPA 1986) Of the suspended (lt ~ 25 microm) settleable and sediment (gt 75 microm) fractions of PM suspended PM in the water column results in light scattering and absorbance instead of transmission of light in straight lines resulting in decreased optical clarity as indexed by turbidity (Rice et al 2012) Turbidity is an important index parameter for assessing the health of freshwater ecosystems impacted primarily by suspended PM (Lloyd 1987) Decreased light penetration limits the growth of algae and other photosynthetic organisms which serve as food for fish leading to decreased diversity and abundance of fish species (Lloyd 1987 Lloyd et al 1987)

In addition to the impacts of PM rainfall-runoff and snow-snowmelt from transportation land use source areas is comprised of PM-bound metal species which also impact aquatic ecosystems Loadings of metals in runoff can be up to 100 times higher than domestic wastewater loads (Wanielista et al 1977) Similar to rainfall-runoff sources of metals in snow-snowmelt from these source areas include brake and tire abrasion (Zn Cd

38

Pb Cu) radiator fluid (Cu) abrasion wear and oxidation of vehicular metal components (Fe Mn Al) application of deicing salts (Pb Ca Na Cl Fe ferrocyanide) as well as leaching from infrastructure materials (Zn Pb Cd) (Droste and Johnston 1993 Oberts and Council 1994 Dong et al 1984)

The toxicity of metals for aquatic organisms and through the food web is directly related to metal species mobility bioavailability and water chemistry indices such as hardness complexing or competitive species partitioning to PM and metal distribution across the PM particle size distribution (PSD) The partitioning of metal ions between dissolved phase and the PSD of the PM phase occurs through a range of sorption mechanisms from ion exchange through chemical precipitation (Glenn and Sansalone 2002) Dissolved metal species can impart toxicity to aquatic organisms by sorption to exchange sites on biological membranes (for example on the cell surface of algae or the gill mucous of fish) diffusing through lipid membranes and once inside the cell denaturing cell proteins (Florence et al 1992)

Although dissolved metals are more acutely bioavailable than PM-based metals PM-based metals can re-partition to the dissolved phase and therefore also present a chronic toxicity risk (Herngren et al 2005) In comparison with runoff snow has higher equilibrium partitioning coefficients (Kd range = 103 to 106 L kg-1 for snowmelt and Kd range = 101 to 104 for runoff) indicating metals are preferentially PM-bound in snowmelt as compared to runoff for the same aqueous and PM chemistry and granulometry (Sansalone and Glenn 2002 Sansalone and Buchberger 1997) Glenn and Sansalone (2002) found that more than 90 of the metal mass of Pb Cd Cu and Zn was PM-based (Glenn and Sansalone 2002 Droste and Johnston 1993) Previous studies on the partitioning of metals between PM-based and dissolved phase have concluded that while suspended PM (lt25 microm) is the most mobile bioavailable and difficult to separate and retain by Best Management Practices (BMPs) the predominance of metal mass is associated with the sediment PM fraction (gt75 microm) of urban source area snowmelt and runoff (Glenn and Sansalone 2002 Sansalone and Ying 2008 Sansalone and Cristina 2004 Sansalone et al 2010 Magill and Sansalone 2010) In contrast to the distribution of metal mass across the PSD the PM-based concentrations of metals are greater for suspended PM as compared to sediment PM Suspended PM also has greater direct contact with benthic organisms than coarser PM (Milligan and Loring 1997 Axtmann and Luoma 1991) The higher PM-based metal concentrations of suspended PM are a result of the relatively high specific surface area (SSA) longer residence time of transport as compared to sediment PM and the definition of solid-phase concentration given that the relative mass of a suspended particle is much lower than a sediment particle Additionally while sediment PM dominates the granulometry of source area PM in terms of mass and SA sediment is the only PM fraction that is generally separated by BMPs (ignoring common washout) with BMPs and deposition of sediment PM along the conveyance system suspended PM can dominate the loading and the toxicity impact at the receiving water

39

As a result of the National Pollutant Discharge Elimination System (NPDES) legislation structural controls such as BMPs and non-structural source control or pollution prevention plans (P3) such as street sweeping are increasingly practiced (EPA 1999) Vacuum assisted street sweeping can be an effective non-structural control for PM (including finer PM fractions) and finer PM-based chemicals (Sutherland and Jelen 1997 Perkins and Yildiz 2010) Examining PM and PM-based metals clarification as function of batch settling time provides guidance with respect to the potential limit of efficacy for settling as a unit operation (UO) The quiescent settling batch mode of operations represents an upper limit for clarification at a given settling time

OBJECTIVES

Sampling sites along and adjacent to US-50W were chosen as representative transportation land use source areas within the Lake Tahoe watershed Snow snowmelt ambient lake water and control snow samples were collected The first objective was to determine the changes in granulometric indices (PM fractions PSD particle density) and turbidity as a function of batch settling The second objective was to determine the relationship between PM concentration and turbidity for snow and snowmelt samples

METHODS

SITE DESCRIPTION

Lake Tahoe is a large oligotrophic alpine lake located between the Sierra Nevada and Carson mountain ranges at an altitude of approximately 1898 meters above sea level (6223 feet) (Jassby et al 1999) Lake Tahoe straddles the California and Nevada state boundaries with approximately two-thirds of the basin in California and one third in Nevada With a maximum depth of 505 meters Lake Tahoe is the second deepest lake in the United States and the tenth deepest lake in the world (USGS 1997) The high transparency and low fertility of Lake Tahoe has been attributed to the large depth of the lake the low ratio of watershed to lake area (800 km2 not including the lake and 501 km2 respectively) and the lakersquos granitic basin geology (Swift et al 2006 Jassby et al 1999) The oligotrophic nature of Lake Tahoe makes the algal populations especially vulnerable to fluctuations in nutrient levels The lake is warm monomictic (mixing from top to bottom occurs once per year) and does not freeze Mean precipitation ranges from 234 inchesyear for watersheds to the east of the basin to 551 inchesyear to the west of the basin with the majority of precipitation in both regions occurring as snow between November and April Pronounced snowmelt runoff events occur annually typically during late spring and early summer Rainstorms combined with rapid snowmelt often result in the highest flows and occasional flooding (Coats et al 2008)

40

SNOW SAMPLING

Samples were collected from transportation land use source areas listed in Table 1 and presented in Figure 1 In addition direct snowfall control samples were collected these control samples were spatially separated from any transportation urban or direct human impacts other than background atmospheric deposition Transportation land use samples were taken at plowed roadway and parking area snow banks In this study ldquosnowrdquo refers to snow that has been accumulated or plowed and was sampled in the solid phase ldquoSnowmeltrdquo refers to snow that has melted and was sampled in the process of conveyance by drainage Snow or snowmelt was placed into 1 L and 4 L wide mouth polypropylene (PP) bottles All snow samples were taken while snow was frozen in a solid phase while snowmelt samples were sampled in a liquid phase Samples were stored in ice chests with dry ice during transport to the laboratory where all samples were stored at or just below 0˚C and remained frozen until the time of analysis Samples were allowed to melt at room temperature for 12 hours immediately prior to analysis

LABORATORY ANALYSES

Source area snow and snowmelt samples gathered in 2012 were analyzed for PM PSD turbidity PM density and volatility and then used for batch settling experiments After one six and 24 hours of batch settling the supernatant was analyzed for PM PSD turbidity PM density and volatility PSDs were modeled as cumulative gamma distribution (CGD) functions for which scaling and shape parameters of the model were compared between sampling locations and settling times

BATCH SETTLING EXPERIMENTS

Whether by design or otherwise sedimentation is the dominant mechanism for physical separation of PM in runoff and snowmelt clarification Preliminary unit operations (UO) such as hydrodynamic separators (HS) and primary UOs such as volumetric clarifiers are sedimentation UOs Furthermore sedimentation is also an important mechanism that occurs in secondary UOs such as filters (Sansalone et al 2009) In this study batch settling was used to quantify the upper limit of physical separation with time for PM through batch quiescent sedimentation for the settleable and suspended fractions of source area snow and snowmelt The settleable and suspended fractions are of particular interest because while sediment PM can be deposited during conveyance and is the primary PM fraction that can be removed by BMPs settleable and suspended PM often gravimetrically dominates the PSD at the outfall of a watershed to receiving waters such as Lake Tahoe Furthermore the separation of suspended and settleable PM fractions (along with the associated PM-based chemicals) as a function of batch settling time provides an index of the potential treatability limit by sedimentation for this finer PM (Kim and Sansalone 2008) Therefore for the snow samples the sediment PM mass and PSD was quantified by size separation (sieving) prior to batch settling and the focus was settleable (lt75 microm) and suspended (lt25 microm) PM

41

While sediment PM was separated and quantified for source area snow prior to batch settling experiments source area snowmelt generally did not require the removal of sediment PM which was separated in the conveyance process The snowmelt samples were dominated by the suspended and settleable fractions and were analyzed directly for PSD without preliminary separation of sediment PM The aqueous fraction of snow and snowmelt samples were analyzed for PM PSD turbidity PM density and volatility The effects of batch settling were determined by analyzing supernatant aliquots at one six and 24 hours for PM PSD turbidity particle density and volatility

RESULTS AND DISCUSSION

PM AND PSD

The PM concentrations of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2a while the PSDs for specific sites are shown in Figure 2 Based on the sampling and analysis the mean PM concentrations of control snow and ambient lake water were 94 and 97 mg L-1 The total (suspended settleable and sediment) PM for source area snow ranged from 1156 (CALTRANS Snow Management Area SMA S Lake Tahoe CA) to 77402 mg L-1 (Douglas County NV Firestation 5) In comparison the total PM concentrations of the Lake Parkway snowmelt and Takela Drive snowmelt were 2142 and 2349 mg L-1 as shown in Figure 4a and 4b (Note that the CALTRANS SMA collected comingled and managed snow and managed snow from a diversity of transportation land use right-of-ways (ROW) throughout South Lake Tahoe CA) While PM concentrations in the source area snow varied by over an order of magnitude the snowmelt PM concentrations were less variable yet typically an order of magnitude higher than PM concentrations in rainfall-runoff For example rainfall-runoff values of total PM (as SSC) from I-10 in Baton Rouge ranged from 738 to 10592 mg L-1

with a median value of 4401 mg L-1 (Kim and Sansalone 2008a) Considering only the settleable and suspended PM fractions of source area snow without sediment PM the concentrations range from 1156 to 8512 mg L-1 as compared to snowmelt where these two finer PM fractions ranged from 1360 to 2270 mg L-1 The majority of PM mass and variability in PM mass in source area snow was therefore in the sediment PM fraction Previous studies of rainfall-runoff PM granulometry have found similar correlations between high PM concentrations and high fractions of sediment (coarse) PM (Kim and Sansalone 2008b)

The entire PSD profiles (002 to 9750 μm) from source area snow locations are presented in Figure 2 (with CALTRANS SMA snow presented separately in Figure 3 because of its distinct granulometry) Results from Figure 2 indicate that approximately 85-95 (by mass) of the particles present in source area snow are sediment sized while the total PM concentrations vary by an order of magnitude (4569 ndash 77402 mg L-1) Therefore sediment PM is consistently the dominant PM fraction although the total PM contribution to source area snow is variable Source area sites with higher PM concentrations have higher

42

relative standard deviations (RSD) for example site 1 with a mean PM concentration 77402 mg L-1 has a RSD of 383 while site 5 with a mean PM concentration of 4569 mg L-1 has a RSD of 17

Resulting from conditions of accumulation and exposure of the CALTRANS SMA snow this source area snow did not have a significant sediment PM fraction as compared to other source areas and was examined separately As shown in Figure 3 the PM in the SMA snow was comprised of PM predominantly smaller than 75 microm which can be explained based on the snow residence time exposed to traffic After a snow event snow is plowed from the roadway surface as expeditiously as practical This snow which is plowed loaded onto trucks and transported to the CALTRANS SMA has been exposed primarily to PM generated from vehicular contact with the snow-covered roadway The level of traffic activity is significantly less during this snow-covered roadway period In contrast snow which is plowed to the curb or edge of the pavement remains as a longer-term porous reservoir for PM and chemicals generated from vehicular component wear and tire-pavement abrasion with the exposed pavement surface This extended exposure which can last for weeks or longer after the snow event results in substantially higher PM concentrations particularly in the sediment PM fraction (which typically comprises the majority of source area PM by mass) Tire-pavement abrasion during the period of snow-covered roadways generates PM with a mean diameter of approximately 20 μm (Cristina et al 2002) and abraded pavement can comprise between 40 to 50 of PM captured in the urban snow banks with longer exposure (Kobriger and Geinopolos 1984) While plowing snow from the pavement to the pavement edge is essential along urban pavements for transport of people goods and services during winter storms the subsequent longer term exposure of this snow bankbarrier results in an accretion of PM and traffic-generated chemical loads in source area snow

BATCH SETTLING SUPERNATANTS SNOW PM AND PSD

After separating the sediment PM fraction of source area snow by wet sieving (which would typically be removed by deposition during snowmelt conveyance or at a BMP) the PSDs of snow samples were measured at time zero and the supernatant after one six and 24 hours of batch settling For all snow samples with sediment PM separated as settling time increased from zero to 24 hours supernatant PM decreased and the fine PM fraction increased (as a proportion of supernatant PM) until floc formation occurred By one hour PM values decreased to 773 plusmn 309 mg L-1 as shown in Table 3a As PM values decreased between zero and one hour PSD in supernatant became finer (decreasing β values) The shape parameter α of the PSD CGD increased from time zero to one hour By 1 hour approximately 99 of PM is in the suspended (lt25 microm) fraction as shown in Figure 5 and therefore the PSD is less heterodisperse

Between one and six hours PM supernatant concentrations decreased to 632 plusmn 156 mg L-1 With the exception of snow from Douglas County NV Firestation 5 the supernatant became progressively finer between one and six hours For all snow samples

43

other than Firestation 5 snow the scaling parameter β of the PSD CGD decreased between one and six hours the CGD β value of Firestation 5 snow increased from 145 at one hour to 206 at six hours as shown in Figure 3 Therefore floc formation occurred between one and six hours for Firestation 5 as demonstrated by a shift towards coarser PSD The scaling (size) parameter (β) of the CGD model of the PSD for time zero was much greater for Fire Station 5 snow (β = 524) than the other snow samples (β = 130 - 205) indicating a higher ratio of settleable to suspended PM was correlated with earlier floc formation (by six hours instead of 24 hours) In solutions with higher ratios of settleable to suspended PM floc formation is likely a result of differential sedimentation interactions Additionally the shape parameter α of snow PSD continued to increase between one and six hours of settling as shown in Table 3a

Between six and 24 hours of batch settling PM concentrations continued to decrease to 180 plusmn 102 mg L-1 as shown in Table 3a PSD became coarser between six and 24 hours indicating that floc formation had occurred as shown in Table 3a and Figure 3e

BATCH SETTLING SUPERNATANTS SNOWMELT PM AND PSD

As observed with source area snow the batch supernatant of snowmelt progressively decreased over time in PM concentration with increasingly finer PSDs (PSDs shifted towards smaller PM with smaller β values) until floc formation occurred (Table 3b)

Between zero and one hour PM concentrations decreased from 2246 plusmn 309 mg L-1 to 727 plusmn 243 mg L-1 as presented in Table 3b PSD became finer (smaller β values) and less heterodisperse (higher α values) The supernatant PM was predominantly comprised of suspended PM (lt25 μm) after one hour of settling as shown in Figure 5b

From one to six hours PM concentrations continued to decrease to 222 plusmn 154 mg L-1

(see Table 3b) For Lake Parkway snowmelt PSD became increasingly finer and less heterodisperse as shown in Figure 4a For Takela Dr snowmelt the PSD was increasingly finer while β increased slightly from 137 to 177 and α decreased from 256 to 163 as shown in Figure 4b Results suggest that for Lake Parkway snowmelt flocs had not yet formed by six hours while for Takela Drive snowmelt some flocs had started to form although not sufficiently to significantly shift the PSD

In contrast to the characteristic floc formation observed with source area snow between six and 24 hours the snowmelt supernatant formed two visually discernible layers (in addition to the layer of completely settled PM) These supernatant layers had different PM concentration turbidity and PSDs (Table 3b) For example after settling the Lake Parkway snowmelt for 24 hours the top layer had a PM concentration of 276 mg L-1 and turbidity of 177 NTU while the lower supernatant layer had a PM concentration of 911 mg L-1 and turbidity of 523 NTU After 24 hours of batch settling for Takela Drive snowmelt the top layer had a PM concentration of 220 mg L-1 and turbidity of 228 NTU while the bottom supernatant layer had a PM concentration of 1572 mg L-1 and turbidity of

44

1244 NTU The PSDs of the bottom supernatant layers at 24 hours were coarser than the top supernatant layers at 24 hours (higher β values) as shown in Figure 4 indicating that flocs formed and settled to the lower layer of the supernatant

The PM concentrations in the top layer of the supernatant after 24 hours were similar to the supernatant PM concentrations at six hours (see Table 3b) For Lake Parkway snowmelt supernatant PM concentration after six hours was 229 mg L-1 and at 24 hours the top layer PM concentration was 276 mg L-1 Similarly for Takela Drive snowmelt supernatant PM concentration of the supernatant after six hours was 214 mg L-1 and after 24 hours the top layer was 220 mg L-1 Conservation of mass between six and 24 hours implies that the supernatant at six hours was also comprised of higher PM concentration regions towards the bottom of the lower layer Through conservation of mass and the continuous batch settling process at any time after settling begins there will exist a vertical concentration gradient within the batch supernatant with higher PM concentrations towards the bottom regardless of whether this gradation is visually apparent

With respect to the PM fractions after one hour of settling 99 of PM (by mass) in source area snow and also in snowmelt remained suspended and less than 25 microm in diameter as shown in Figure 5 a result that matches similar findings for rainfall-runoff PM (Sansalone et al 2010b) After 24 hours the settleable PM fraction in snow and snowmelt supernatants increased by approximately 3 as a result of floc formation but the suspended fraction still dominated ( gt 96 by mass) Table 3 summarizes settling results with increasing batch settling time Results indicate the following trends (1) PM supernatant concentrations decrease with increasing batch settling time (2) Supernatant PSD becomes finer and less heterodisperse with batch settling time until floc formation occurs (3) Once floc formation occurs PSD becomes slightly more coarse and heterodisperse and (4) Supernatant of snowmelt at 24 hours was comprised of two layers with the bottom layer containing higher PM concentrations higher turbidity and coarser PSD due to floc formation After 24 hours of batch settling snow and snowmelt samples were still high in suspended PM with supernatant PM values ranging from 146 to 341 mg L-1 for snow and 177 to 1572 mg L-1 for snowmelt For comparison California restricts the suspended sediment concentrations (SSC) of tributaries into Lake Tahoe to a 90th percentile value of 60 mg L-1 (CRWCB 2011) Furthermore the SSC of Lake Tahoe must not exceed 10 of measureable natural conditions (CRWCB 2011) From Table 2 the mean PM concentration of Lake Tahoersquos near-shore (10 m) ambient water is 968 mg L-1 Based on this result discharges into Lake Tahoe must not increase the SSC of the lake by more than 097 mg L-1

TURBIDITY

The turbidity of source area snow source area snowmelt ambient lake water and control snow are summarized in Table 2b The mean turbidity of ambient lake water and control snow was 17 and 309 NTU respectively The turbidity of source area snow (without

45

sediment PM) and snowmelt ranged from 840 to 9423 NTU and 1575 to 2948 NTU as shown in Table 2b

The relationship(s) between turbidity and PM can be examined alongside PSDs to gain further insight into what changes in PM are occurring with settling and how they affect the optical properties of the solution (eg Figures 3 and 4) The relationships between PM concentration and turbidity were modeled with a power law

T = a middot PMb (1)

where T = turbidity [NTU] PM = particulate matter concentration [mg L-1] a = the normalization constant and b = the scaling parameter (Clauset et al 2009) When plotted on a set of logarithmic axes a is the y-intercept representing the minimum value of turbidity and b is the linear slope representing the rate of increase in turbidity with respect to PM concentration

BATCH SETTLING SUPERNATANTS SNOW TURBIDITY

Between zero and one hour supernatant turbidity of snow samples decreased from 4836 plusmn 3012 NTU to 1615 plusmn 1018 NTU as shown in Table 3a However as finer PM becomes a more significant fraction (gravimetrically and numerically) of the supernatant relative to coarser (settleable) PM the effect of light scattering increases when normalized to PM on a mass basis This effect is evident in Figure 3(cd) where after one hour of batch settling time the turbidity increased with respect to initial turbidity at each constant value of PM concentration Thus the finer the PM and the more numerous the particles in suspension the more effectively that suspension scatters light as compared to a suspension of PM with the same mass concentration but with larger settleable PM initially present that typically settle after one hour (Swift et al 2006)

Between one and six hours turbidity of snow sample supernatant decreased to 475 plusmn 201 NTU For CALTRANS SMA snow the trend of increasing turbidity at each constant value of PM continued from one to six hours as PSD became increasingly dominated by smaller particles as shown in Figure 3(a c) However for Firestation 5 snow the turbidity decreased between one and six hours when normalized to gravimetric PM this result is attributed to floc formation between one and six hours as demonstrated in Figure 3(b d) Therefore turbidity increases when normalized to PM by mass until floc formation occurs with increased settling time and further floc formation the turbidity decreases for each value of PM as PM is comprised of larger flocs which are less effective in scattering light

Between six and 24 hours supernatant turbidity decreases further to 290 plusmn 100 NTU as presented in Table 3a Between six and 24 hours the effect of changing PM size on light scattering is indistinguishable despite the shift towards larger particles (flocs) in the PSD between six and 24 hours Therefore the optical properties of supernatant PM are

46

distinguishable between six and 24 hours by laser diffraction (LD) but not by light scattering (nephelometry) Differences in diffractivity of similarly sized particles in two solutions may cause an apparent difference in PSD Specifically variations in morphology and mineralogy often cause deviations from the assumptions of Mie and Fraunhofer theory (Storti and Balsamo 2010 Ma et al 2001) producing LD results confounded by factors other than particle size For example for non-spherical particles a larger than representative particle size may be assigned as a result of the average cross sectional area of a non-spherical particle being larger than a sphere of equivalent volume (Eshel et al 2004) Additionally variations in refractive indices (RI) and density may cause apparent differences in PSD as measured by LD (Beuselinck et al 1998) PM of similar sizes but different densities RIs or shape may preferentially settle between 6 and 24 hours resulting in different patterns of LD despite similar turbidities Although measurement of particle size by LD may be confounded in some cases by unusual particle properties turbidity is still primarily determined by particle size

Results indicate the following trends (1) Decreasing PM concentration is directly proportional to decreasing supernatant turbidity (2) As smaller particles become a more significant fraction of supernatant PM turbidity becomes higher when normalized to PM by mass because smaller particles are more effective at light scattering (Swift et al 2006) (3) With further settling time flocs form and consequently turbidity decreases when normalized to PM by mass (4) The primary properties which determine light scattering as measured by nephelometry are PM concentration and PSD and (5) Differences in PSD as measured by laser diffraction may not correspond to differences in light scattering and therefore may be the result of variability in diffraction measurement rather than actual differences in particle size

BATCH SETTLING SUPERNATANTS SNOWMELT TURBIDITY

Between zero and one hour snowmelt turbidity decreased from 2237 plusmn 699 NTU to 1776 plusmn 1076 NTU as shown in Table 3b Figure 4 demonstrates that as settling time increased from zero to one hour Lake Parkway and Takela Drive snowmelt became finer in PSD and there was an increase in turbidity at each gravimetric value of PM

As settling time increased from one to six hours turbidity decreased further to 337 plusmn 483 NTU (Table 3b) Between one and six hours there was not a distinct change in the value of turbidity at each value of PM although the PSDs appear to become finer between one and six hours (see examples in Figure 4) This may be a result of differences in light diffraction and not actual differences in PSD as was suggested for snow between six and 24 hours

For both snowmelt samples as batch settling time increased from six to 24 hours two layers were formed within the supernatant the top layer with turbidity of 220 plusmn 303 NTU and the bottom layer with turbidity of 2903 plusmn 4286 NTU (Table 3b) Therefore the bottom layer of the supernatant had higher PM concentrations than the top layer at 24 hours (1247 plusmn 759 mg L-1 compared to 262 plusmn 284 mg L-1) as well as higher turbidity and coarser

47

PSD (with CDG scaling parameter (β) of the bottom layer at 891 compared to 104 for the top layer) These results suggest that between six to 24 hours the flocs formed within the supernatant and settled into the bottom layer of the supernatant

The greatest turbidity changes for source area snow and for snowmelt occurred at up to one hour of batch settling time as a result of finer and more numerous fine particles dominating the suspension compared to initial suspensions that also contained coarser settleable PM After one hour changes in PSD indicate floc formation an interpretation supported by the decrease in turbidity for normalized PM (by mass)

After 24 hours of batch settling the turbidity of all snow and snowmelt samples remained high (146 to 1572 NTU) as compared to the TRPA and NPDES discharge standard of 20 NTU (TRPA 2013 CRWQCB 2011) These results indicate that secondary treatment such as coagulationflocculation (CF) andor filtration may also be necessary after 24 hours of batch settling an ideal settling condition that is not usually achieved by BMPs Snowmelt in particular would require significant additional clarification for suspended PM

CONCLUSIONS

Snow and snowmelt were collected from transportation land use areas and snow management areas (SMA) in the Lake Tahoe watershed Batch settling of source area snow and snowmelt was examined through measured changes in PM PSD and turbidity over a 24 hour settling period

Source area snow contained higher and more variable PM concentrations than snowmelt with the majority of mass and variability in mass associated with the sediment (gt75 microm) PM fraction CALTRANS SMA snow contained less PM than all other source areas specifically sediment-sized PM This was probably because that the majority of sediment PM is likely generated from post-plowing tire-pavement abrasion

After one hour of settling the supernatant of snow and snowmelt were comprised mostly of PM less than 25 μm in diameter and the PSD became increasingly finer with time until floc formation occurred The supernatant of snow and snowmelt samples increased in turbidity as a function of gravimetric PM concentration (ie mass-normalized PM) with finer particles dominating the suspension Snowmelt samples demonstrated a visible gradient in PM concentration as discernible layers of supernatant appeared resulting from continuous floc formation and settling

After 24 hours of batch settling PM and turbidity remained above levels mandated by state and national discharge limits Therefore batch settling as a best-case-scenario for the performance of sedimentation BMPs demonstrated that BMPs which rely on sedimentation alone are insufficient for treatment of PM in urban snowmelt Adequate removal of suspended PM is particularly pertinent for pristine aquatic environments such as Lake Tahoe which have very low natural turbidity and are therefore extremely sensitive to PM loads

48

Although sedimentation is effective at separation of sediment PM the persistence of high levels of suspended PM after 24 hours of batch settling demonstrates that sedimentation-based systems hydrodynamic separation or primary clarification are generally insufficient for treatment of Lake Tahoe snow and snowmelt without secondary or advanced unit operations and processes designed and regularly maintained to separate suspended PM

REFERENCES

Allen T 1990 Particle Size Measurement Chapman and Hall London

ASTM (1994) Designation D 5550-94 Standard Test Method for Specific Gravity of Soil Solids by Gas Pycnometer Annual Book of Standards Vol 0408

ASTM (1993) Designation D 3977-97 (Method C) Standard Test Methods for Determining Sediment Concentration in Water Samples Annual Book of Standards Vol 1102

Axtmann E V and Luoma S N (1991) Large-scale distribution of metal contamination in the fine-grained sediments of the Clark Fork River Montana USA Applied Geochemistry 6(1) 75-88

Bent G C Gray J R Smith K P and Glysson G D (2001) A synopsis of technical issues for monitoring sediment in highway and urban runoff No 00-497 USGS Open File Report

Beuselinck L G Govers G Poesen J and Degraer G (1998) ldquoGrain size analysis laser diffractometry Comparison with the sieve pipette methodrdquo Catena 32 193-208

Clauset A Rohilla-Shalizi C and Newman MEJ (2009) ldquoPower-law distributions in empirical datardquo SIAM Review 51(4) 661-703

CRWCB Lahontan Region (2011) lsquoUpdated waste discharge requirements and NPDES permit for storm waterurban runoff discharges from El Dorado County Placer County and the City of South Lake Tahoe within the Lake Tahoe hydrologic unitrsquo Attachment E- Water Quality Objectives Board order R6T-2011-0101A1 NPDES no CAG616001 Retrieved from httpwwwwaterboardscagovrwqcb6board_decisionsadopted_orders2011docsr6t_2 011_101a1pdf Last accessed May 31 2013

Coats R Larsen M Heyvaert A Thomas J Luck M and Reuter J (2008) ldquoNutrient and sediment production watershed characteristics and land use in the Tahoe Basin

California‐Nevadardquo JAWRA Journal of the American Water Resources

Association 44(3) 754-770

Cristina C Tramonte J and Sansalone J J (2002) ldquoA granulometry-based selection methodology for separation of traffic-generated particles in urban highway snowmelt runoffrdquo Water Air and Soil Pollution 136(1-4) 33-53

49

de Boer G B de Weerd C Thoenes D and Goossens H W (1987) ldquoLaser diffraction spectrometry Fraunhofer diffraction versus Mie scatteringrdquo Particle and Particle

Systems Characterization 4(1‐4) 14-19

Dong A Chesters G and Simsiman GV (1984) ldquoMetal composition of soil sediments and urban dust and dirt samples from the Menomonee River Watershed Wisconsin USArdquo Water Soil and Air Pollution 22 257-275

Droste RL and Johnston JC (1993) ldquoUrban snow dump quality and pollutant reduction in snowmelt by sedimentationrdquo Canadian Journal of Civil Engineering 20 9-21

EPA (1986) Quality Criteria for Water EPA 4405-86-001 Office of Water Regulations and Standards Washington DC

EPA (1999) National pollutant discharge elimination system- Regulations for revision of the water pollution control system Rep to Congress on the Phase II Storm Water Regulations EPA 40 CFR Part 9 USEPA Washington DC 122-14

EPA (2009) National Recommended Water Quality Criteria Table Office of Water Office of Science and Technology (4304T)

Eshel G Levy G J Mingelgrin U and Singer M J (2004) ldquoCritical evaluation of the use of laser diffraction for particle-size distribution analysisrdquo Soil Science Society of America Journal 68(3) 736-743

Florence T M Morrison G M and Stauber J L (1992) ldquoDetermination of trace element speciation and the role of speciation in aquatic toxicityrdquo Science of the Total Environment 125 1-13

Glenn DW and Sansalone JJ (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activities IIrdquo Journal of Environmental Engineering 128(2) 912-922

Gray J R Glysson G D Turcios L M amp Schwarz G E (2000) Comparability of suspended-sediment concentration and total suspended solids data (p 14) US Department of the Interior USGS

Herngren L Goonetilleke A and Ayoko GA (2005) ldquoUnderstanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfallrdquo Journal of Environmental Management 76(2) 149-158

Jassby A D Goldman C R Reuter J E and Richards R C (1999) ldquoOrigins and scale dependence of temporal variability in the transparency of Lake Tahoe California-Nevadardquo Limnology and Oceanography 44(2) 282-294

Kim J Y and Sansalone J J (2008a) ldquoEvent-based size distributions of particulate matter transported during urban rainfall-runoff eventsrdquo Water Research 42(10) 167-185

Kim J Y and Sansalone J J (2008b) ldquoHydrodynamic separation of particulate matter transported by source area runoffrdquo Journal of Environmental Engineering 134(11) 912shy922

50

Kobriger NP and Geinopolos A (1984) ldquoSources and migration of highway runoff pollutants- research paperrdquo Volume III Report FHWARD-8405 (PB86-227915) FHWA US Department of Transportation

Kuroiwa D (1968) lsquo Liquid permeability of snowrsquo General Assembly 380-391

Lloyd DS (1987) ldquoTurbidity as a water quality standard for Salmonid habitats in Alaskardquo North American Journal of Fisheries Management 7(1) 34-35

Lloyd DS Koenings JP and LaPerriere JD (1987) ldquoEffects of turbidity in fresh waters of Alaskardquo North American Journal of Fisheries Management 7(1) 18-33

Liu D Sansalone J and Cartledge FK (2005) ldquoComparison of sorptive filter media for treatment of metals in runoffrdquo Journal of Environmental Engineering 131(8) 1178shy1186

Ma Z Merkus HG van der Veen HG Wong M and Scarlett B (2001) ldquoOn-line measurement of particle size and shape using laser diffractionrdquo Particle and Particle

Systems Characterization 18(5‐6) 243-247

Magill N and Sansalone J (2010) ldquoDistribution of particulate-bound metals for source area snow in the Lake Tahoe watershedrdquo Journal of Environmental Engineering 136(2) 185shy193

Milligan T G and Loring D H (1997) ldquoThe effect of flocculation on the size distributions of bottom sediment in coastal inlets Implications for contaminant transportrdquo Water Air and Soil Pollution 99(1-4) 33-42

Montgomery JM 1987 Water Treatment Principles and Design John Wiley amp Sons Inc New York

Oberts G L and Council M (1994) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Techniques1(2) 55-61

Oberts G (2000) ldquoInfluence of snowmelt dynamics on stormwater runoff qualityrdquo Watershed Protection Technology1(2) 55-61

Ozeki T Kose K Haishi T Nakatsubo S I Nishimura K and Hochikubo A (2003) ldquoThree-dimensional MR microscopy of snowpack structuresrdquo Cold Regions Science and Technology 37(3) 385-391

Perkins R and Yildiz DH (2010) Bridge Deck Runoff Water Quality Analysis and BMP Effectiveness Report No RR08 13 University of Alaska Fairbanks Retrieved from httpineuafeduautcfiles201103RR0813Final-Bridge-Runoff-Report-Dec-2010shysbpdf Last accessed May 31 2013

Rangsivek R and Jekel MR (2005) ldquoRemoval of dissolved metals by zero-valent iron (ZVI) kinetics equilibria processes and implications for stormwater runoff treatmentrdquo Water Research 39(17) 4153-4163

51

Rice EW Baird RW Eaton AD and Clescari LS (2012) Standard methods for the examination of water and wastewater American Public Health Association 22nd ed Washington DC

Sansalone J and Buchberger S (1996) ldquoCharacterization of metals and solids in urban highway winter snow and spring rainfall-runoffrdquo Transportation Research Record Journal of the Transportation Research Board 1523(1) 147-159

Sansalone J and Buchberger S (1997) ldquoPartitioning and first flush of metals in urban roadway storm waterrdquo Journal of Environmental Engineering 123(2) 134-143

Sansalone J and Glenn D (2002) ldquoAccretion and partitioning of heavy metals associated with snow exposed to urban traffic and winter storm maintenance activitiesrdquo Journal of Environmental Engineering 128(2) 167-185

Sansalone J J and Cristina C M (2004) ldquoFirst flush concepts for suspended and dissolved solids in small impervious watershedsrdquo Journal of Environmental Engineering 130(11) 1301-1314

Sansalone JJ Liu B and Kim J-Y (2009) ldquoVolumetric clarifying filtration of urban source area rainfall runoffrdquo Journal of Environmental Engineering 135(8) 609-620

Sansalone J Liu B amp Ying G (2010a) ldquoVolumetric filtration of rainfall runoff II Event-based and inter-event nutrient faterdquo Journal of Environmental Engineering 136(12) 1331-1340

Sansalone J Ying G and Lin H (2010b) ldquoDistribution of metals for particulate matter transported in source area rainfall-runoffrdquo Journal of Environmental Engineering 136(2) 176-184

Sansalone J J and Tribouillard T (1999) ldquoVariations in characteristics of abraded roadway particles as a function of particle size- implications for water quality and drainagerdquo Transportation Research Record 1690(1) 153-163

Sansalone J and Ying G (2008) ldquoPartitioning and granulometric distribution of metal leachate from urban traffic dry deposition particulate matter subject to acidic rainfall and runoff retentionrdquo Water Research 42(15) 4146-4162

Sutherland R C and Jelen S L (1997) ldquoContrary to conventional wisdom street sweeping can be an effective BMPrdquo Advances in modeling the management of stormwater impacts 5 179-190

Swift TJ Perez-Losada J Schladow SG Reuter JE Jassby AD and Goldman CR (2006) ldquoWater clarity modeling in Lake Tahoe linking suspended matter characteristics to secchi depthrdquo Aquatic Sciences 68(1) 1-15

52

TRPA (2013) Code of Ordinances Ch 60- Water Quality Adopted by the Tahoe Regional Planning Agency Governing Board Retrieved from httpwwwtrpaorgdocumentsdocdwnldsordinancesTRPA_Code_of_Ordinancespdf Last accessed August 5 2013

USGS Stream and Ground-Water Monitoring Program Lake Tahoe Basin Nevada and California Fact Sheet FS-100-97 June 1997

UNESCO (2000) Urban Drainage in Specific Climates Vol II Ed by S Saegrov J Milina and ST Thorolfsson IHP-V Technical Documents in Hydrology No 40 Vol II Paris

Wanielista M P Yousef Y A and McLellon W M (1977) ldquoNonpoint source effects on water qualityrdquo Journal (Water Pollution Control Federation) 441-451

53

Table 1 Locations of sampling Site numbers correspond to marked locations presented in Figure 1 RW = right-of-way SMA = snow management area CALTRANS = California Dept of Transportation

Site No Location Type of Site Samples Collected

1 US 50 W at Douglas

County NV Firestation 5 Roadway surface

Snow in ROW

2 US 50 W at Cave Rock

NV Ambient lake Ambient lake

3 US 50 W at Tunnel NV Roadway surface

Paved shoulder snow

4 US 50 W at Zephyr Cove

NV Parking lot Parking lot snow and ROW drainage

5 US 50 W at Lake Parkway

CA Roadway surface

Snow in ROW and ROW drainage

6 US 50 W at Stateline

CANV Roadway surface

Snow in ROW and gutterflow

7 US 50 W at Marina CA Ambient lake Storm sewer snowmelt and ambient lake

8 US 50 W at Ski Run Blvd

CA Roadway surface

Parking lot storm sewer snowmelt

9 US 50 W at Takela Dr

CA Roadway surface

Snow in ROW and drainage to ROW

10 Sierra Blvd at Barbara

Ave CA CALTRANS

SMA Disposal site snow

11 State Rd 28 CA Control snowfall Control snowfall- removed from any

anthropogenic impacts

54

Table 2 Statistical summary of PM concentrations (a) and turbidity (b) for source area snow source area snowmelt Lake Tahoe ambient water and control snow

(a)

(b)

Total PM [mg L-1] Snow Snowmelt Ambient

Lake Control Snow

Mean 29255 2246 968 937

Median 15860 2289 910 926

St Dev 31882 309 778 396

Range 1156-77402 1856-2550 118-190 370-130

Turbidity [NTU] Snow Snowmelt Ambient

Lake Control Snow

Mean 4386 2262 174 309

Median 3996 2262 162 294

St Dev 3103 972 084 228

Range 840-9423 1575-2948 093-280 114-537

55

Table 3 Statistical summary of PM concentration turbidity and PSD cumulative gamma distribution (CGD) parameters for batch supernatants of snow (a) and snowmelt (b) The presence of flocs within the supernatant is indicated

(a)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 4351 2814 4836 3012 111 200 x

1 772 309 1615 1018 170 306 x

6 362 156 475 201 184 175 x

24 180 102 290 100 139 439 x

(b)

Time (hr)

PM Concentration

[mg L-1] Turbidity [NTU]

CGD Parameter

Floc Formation

Mean St Dev Mean St Dev α β Yes No

0 2246 309 2237 699 083 697 x

1 727 243 1776 1076 189 305 x

6 222 154 337 483 167 191 x

24-top 262 284 220 303 180 383 x

24- bottom 1247 759 2903 4286 084 891 x

56

Figure 1 Sampling locations along US-50W in the Lake Tahoe watershed (California and Nevada)

57

Per

cent

fin

er b

y m

ass

()

0

20

40

60

80

100 Site No 1 Site No 3 Site No 4 Site No 5 Site No 9 Median CGD

104 103 102 101 100

Particle Diameter (m)

Figure 2 PSDs of source area snow A cumulative gamma distribution (CGD) was fit to the median of all source area PSDs with the exception of CALTRANS SMA snow The shape and scaling parameters α and β of the CGD and the median PSD are presented The coefficient of determination for the fit of the CGD to the median PSD is R2 = 097

58

20

40

60

80

100

10-1

100 (b)(a)

80 0 hr 1 hr

PM Time

0 hr [mg L-1]

Tur

bidi

ty [

NT

U]

P

erce

nt f

iner

by

mas

s (

)

Tur

bidi

ty [

NT

U]

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

0 11561 hr 6 hr 601 hr 390

6 hr 163 PM 6 hr Time

[mg L-1

] 0 6959

1 hr 448 6 hr 238

40

20Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr α 096 129 169 068 198 139 α β 205 574 232 524 145 206 β0 0

100 10 1 100 10 1

Particle Diameter (m) Particle Diameter (m) 103

103 Time 0 (d)(c) 6 hr 1 hr

Time 0 102 102

T = a(PM)b 1 hrTurbidity Time

6 hr[NTU] 0 840

(PM)b101 T = a101

1 hr 430 6hr 240

Turbidity Time

100 [NTU] 100Parameter 0 1 hr 6hr

0 5871 Parameter 0 1 hr 6hr 049 290 153a 1 hr 717050 087 082 a106 091 099b

138 110 106 6 hr 260b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

103100

Turbidity Site Site No 1- 24 hr (f)

Per

cent

fin

er b

y m

ass

() [NTU] No Site No 10- 24 hr 80

(e) 60

Site No PM [mg L-1

]

40 1 199

10 146

102 1 164

10 200

Site No 1- 24hr 101

Site No 10 - 24 hr

T = a (PM)b

100 Parameter Site No 1 Site No 10 Parameter Site No 1 Site No 10

20 038 093 084 128 aα 12 108 100 538 β b

10-10 100 10 1 10-1 100 101 102 103 104 105

Particle Diameter (m) PM (as SSC) [mg L-1]

Figure 3 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM (lt75 microm) after 0 1 and 6 hours batch settling for CALTRANS SMA snow (left) and for Douglas County NV Firestation 5 snow (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling

59

20

40

60

80

100

20

40

60

100 PM PM Time Time

Per

cent

fin

er b

y m

ass

()

T

urbi

dity

[N

TU

] P

erce

nt f

iner

by

mas

s (

)

[mg L-1

] 0 2142

Per

cent

fin

er b

y m

ass

()

Tur

bidi

ty [

NT

U]

[mg L-1

]Time 0 80 0 2349 1 hr

1 hr 518 1 hr 936 6 hr 214 6 hr 6 hr 229

60 Time 0 (a)

40 (b)1 hr

6 hr Parameter 0 1 hr 6hr Parameter 0 1 hr 6hr20061 183 168 α 100 256 163 α

164 206 164 β 17 137 177 β 0 0

1000 100 10 1 01 1000 100 10 1 01

Particle diameter (m) Particle diameter m)

104 104 Time 0 Time 0

(c) (d)1 hr1 hr 103 103 6 hr6 hr

T = a(PM)b Turbidity T = a(PM)b

Turbidity Time Time 102 102 [NTU] [NTU]

0 1575

1 hr 816 101

6 hr 349

0 2945

101 1 hr 2709

6 hr 299

100

10-1

Parameter 0 1 hr 6hr 100Parameter 0 1 hr 6hr 017 005 255a005 150 283a 124 157 082b134 099 088b

10-1

10-1 100 101 102 103 104 105 10-1 100 101 102 103 104 105

PM (as SSC) [mg L-1] PM (as SSC) [mg L-1]

104100

24 hr Parameter 24 hr - top 103(e) layer a b24 hr - bottom 80 top 098 107 (f)102

Tur

bidi

ty [

NT

U]

24 hr PM

layer [mg L-1]

top 276

bottom 648

24 hr Parameter

bottom 001 206

101

100 24 hr - top

24 hr Turbidity 24 hr - bottom layer [NTU] α βlayer 10-1 T = a(PM)btop 213top 277 104

bottom 529bottom 084 891 10-2

0 10-1 100 101 102 103 104

1000 100 10 1 PM (as SSC) [mg L-1]

Particle Diameter (m)

Figure 4 Plots (ab) show PSDs while plots (cd) show corresponding turbidity relationships for PM batch settling time for Lake Parkway snowmelt (left) and Takela Dr snowmelt (right) PSDs were modeled as cumulative gamma distributions (CGD) The shape parameter (α) and scaling parameter (β) of the CGDs are shown Parameters ldquoardquo and ldquobrdquo are the power law model parameters relating turbidity (T) and PM (as SSC) for snowmelt Plots (ef) show PSDs and turbidity relationships for PM after 24 hours of batch settling of snowmelt

60

PM

Fra

ctio

n (

)

0

20

40

60

80

100

Sediment Settleable Suspended

(a)

Time 0 1 hr 6 hr 24 hr

Time 0 1 hr 6 hr 24 hr top 24 hr bottom

Figure 5 PM fractions of snow supernatants (a) and snowmelt supernatants (b) after zero one six and 24 hours Snowmelt samples formed two layers between 6 and 24 hours which varied in PM compositionPM concentrations of snow and snowmelt supernatants are presented in Table 3

PM F

ract

ion

()

0

20

40

60

80

100

Sediment Settleable Suspended

(b)

61

Pro

babi

lity

dens

ity f

unct

ion

pdf

000

005

010

015

020

025

030

Model

R2 = 099 n = 38

102 103 104 105 106

Total PM [mg L-1]

Figure 6 Probability density function (pdf) of total PM of source area snow and snowmelt samples Total PM was measured through a combination of laser diffraction (LD) and manual sieving

62

APPENDIX A CHARACTERIZATION OF STORMWATER RUNOFF AND WETLAND SEDIMENT ACCUMULATION

Urban runoff has been identified as the primary source (72) of fine sediment particle (FSP) pollution to Lake Tahoe (LRWQCB and NDEP 2011) as well as an important source for total phosphorus loading (38) and a minor source for nitrogen loading (16) Both phosphorus and turbidity often correlate with fine particle concentrations in urban runoff (Heyvaert et al unpublished data) Phosphorus adsorbs onto particle surfaces (Ferguson J 2006 Lilienfein et al 2004) while turbidity increases with light scattering at higher particle concentrations (Heyvaert et al 2015) Indeed turbidity can serve as a useful surrogate measure of fine sediment particle concentration (see Heyvaert et al 2015)

Although there is a general understanding that phosphorus loading and turbidity will both increase with particle loading data are not available to describe the relative contributions associated with different particle size classes Therefore we examined the characteristics of urban runoff associated with particle size classes and other important water quality characteristics such as turbidity suspended sediment phosphorus and nitrogen concentrations This should be useful information for management models and to help evaluate the effectiveness of fine sediment removal by processes and unit operations that target pollutant-specific removals with different types of BMPs

Following is a brief description of results obtained from differential size fraction analysis on runoff samples collected at several locations in the Lake Tahoe Basin (Table A1) Most of these runoff samples were obtained from highway sites during precipitation events (rain or snow) Also discussed are the results from analysis of size-fractioned sediments collected in the Tahoe City Wetland Treatment System in Tahoe City (near the intersection of Highways 89 and 28) these are the same sediment core samples discussed in Chapter 1 of this report

Particle size fractionation procedures were similar for both the stormwater samples and the wetland sediment core samples except that sediment cores were first suspended in laboratory DI water before sieving and filtration Samples were successively passed through a 1000 microm sieve a 63 microm sieve a 20 microm sieve then through nylon mesh filters at 10 microm and 5 microm as well as a final 045 microm nylon membrane filter (to yield dissolved components) Representative aliquots were drawn at each step for subsequent analysis of total phosphorus (TP) total Kjehldahl nitrogen (TKN) suspended sediment (SS) and turbidity (Figure A1) Analyses were conducted at the DRI Water Analysis Laboratory using Standard Methods (Eaton et al 1998)

Analysis of fractionated stormwater samples showed that on average the lt20 microm size fraction contained about 85 of the TP the total turbidity and the TKN found in bulk stormwater (Table A2) Even the lt10 microm fraction still contained more than half the amount

A-1

of TP and turbidity found in bulk samples (57 and 55 respectively) The lt5 microm fraction represented about one-third of bulk measurements for TP and turbidity (38 and 31 respectively)

In contrast suspended sediment concentrations decreased more rapidly with 59 of bulk concentration in the lt20 microm size fraction 40 in the lt10 microm fraction and 25 in the lt5 microm fraction Fine sediment particles (FSP lt16 microm) are a pollutant regulated by the TMDL for Lake Tahoe clarity Interpolated from these results we estimate that the FSP fraction represents about 51 of bulk suspended sediment (by mass) in stormwater samples

Since only ~11 of suspended particle mass in stormwater samples was contained in the 10ndash16 microm size fraction it becomes evident that capturing the lt10 microm fraction will be crucial for mitigating stormwater impacts on Lake Tahoe clarity Considering that particle numbers increase exponentially with decreasing particle size and that particle numbers are the main factor affecting lake clarity (Swift et al 2006) a BMP that removes 1 kg FSP over the size range from 10 to 16 microm would achieve much less for lake clarity compared to eliminating 1 kg FSP in the size range lt10 microm It is critical to understand that removing mass-equivalent portions of coarser FSP grades does not translate into removing equivalent numbers of particles from the finer FSP grades BMPs should be targeting particle removal efficiency at the smallest size practical ranging up from 05 microm to 16 microm (rather than vice versa)

Interestingly TKN concentrations did not decrease appreciably with stormwater size fractions TKN in the dissolved phase (lt045 microm) represented over half the amount measured in bulk samples This is because stormwater TKN includes appreciable amounts of dissolved organic nitrogen (DON) and ammonium ion as well as some particulate nitrogen primarily in the lt5 microm size range

Wetland basin excavation removed about 2360 cubic yards of dewatered material from the Tahoe City Wetland Treatment System (J Longo personal communication) consisting of dry senescent surface vegetation over a predominately inorganic mineralized layer Taking the lt1000 microm fraction as representing bulk wetland sediment after removal of coarse senescent vegetative material we estimated relative percentages of constituents represented in the different size fractions (Table A3)

The relative percentages of constituents by size class follow patterns similar to that observed with the runoff sample size fractions but with a slight shift toward higher percentages in smaller size classes Sediment in the lt20 microm size range represented 68 of the bulk total (versus 59 in stormwater) Turbidity in the lt20 microm fraction was 42 of turbidity in bulk suspension (versus 31 in stormwater) indicating a high percentage of very fine particles in wetland sediment TP in the lt20 microm size fraction was 73 of the total (versus 85 in stormwater) And much of the TKN in core suspension was present as particulates (93) compared to the large amount of TKN in dissolved phase seen with stormwater (average 54)

A-2

From Chapter 1 of this report we know that total inorganic matter accumulation in the cores averaged 70 kg m-2 y-1 of which we estimate approximately 54ndash60 consisted of fine sediment particles (FSP) less than 16 microm (from LPSA analysis in Figure 1 and from Table A3 interpolation respectively) This would indicate an FSP accretion rate of 38ndash42 kg m-2 y-1 About 48 of total particle mass retained by the wetland system was in the lt10 microm size fraction and 33 was in the lt5 microm size fraction Therefore a substantial portion of the FSP that accumulated in this wetland basin was in these smaller size classes (lt10 microm)

Most of the wetland particulate matter consisted of inorganic material as measured by loss-on-ignition at 550degC The amount of combusted organic matter increased slightly with smaller size fractions (from ~8 in bulk to 12 in the lt5 microm fractions) Although not shown here particulates in runoff samples averaged ~25 organic material with almost all of it in the lt20 microm fraction Presumably much of this would have been mineralized in the wetland or passed through as low-density particles moving with the flow during events

REFERENCES

Eaton AD LS Clesceri AE Greenberg and MAH Franson 1998 Standard Methods for the Examination of Water and Wastewater American Public Health Association Washington DC

Ferguson JW 2006 The Bioavailability of Sediment and Dissolved Organic Phosphorus Inputs to Lake Tahoe MS Thesis University of Nevada Reno NV USA

Heyvaert AC 2NDNATURE and JE Reuter 2015 Analysis of Turbidity as a Surrogate Indicator for Fine Sediment Particle Concentrations in the Tahoe Basin Final report Prepared for the USDA Forest Service Pacific Southwest Research Station December 2015

Lilienfein J RG Qualls SM Uselman and SD Bridgham 2004 Adsorption of Dissolved Organic and Inorganic Phosphorus in Soils of a Weathering Chronosequence Soil Science Society of America Journal 68620-628Longo John 2015 On-site discussion after excavation of accumulated wetland material to restore original hydrologic capacity of the Tahoe City Wetland Treatment System John Longo Construction Co Reno NV

Lahontan Regional Water Quality Control Board (LRWQCB) and Nevada Division of Environmental Protection (NDEP) 2011 Final Lake Tahoe Total Maximum Daily Load Lahontan Water Board South Lake Tahoe CA and Nevada Division of Environmental Protection Carson City NV August 2011

Swift TJ J Perez-Losada SG Schladow JE Reuter AD Jassby and CR Goldman 2006 Water clarity modeling in Lake Tahoe Linking suspended matter characteristics to Secchi depth Aquatic Sciences 68 1-15

A-3

Figure A1 Fractional filtration of stormwater runoff samples and TCWTS sediment core suspensions Aliquot analyses included suspended sediment (SS) turbidity (NTU) total phosphorus (TP) and total Kjehldahl nitrogen (TKN)

A-4

Table A1 Locations and site IDs of stormwater runoff samples collected for size-fractioned analysis

Sample Site ID Description Location

1 SB Speedboat Drive at Lake Street Crystal Bay NV

2 48 Highway 28 at National Avenue Kings Beach CA

3 SB Speedboat Drive at Lake Street Crystal Bay NV

4 56 Highway 89 intersection Highway 28 Tahoe City CA

5 88 Country Club Drive at Miners Ridge Incline Village NV

6 37 Highway 50 east of Glenbrook Road Glenbrook NV

7 J-In Highway 431 at Country Club Drive Incline Village NV

8 83 Highway 267 at Stuart Way Kings Beach CA

9 C-In Highway 431 at Country Club Drive Incline Village NV

10 88 Country Club Drive at Miners Ridge Incline Village NV

11 J-In Highway 431 at Country Club Drive Incline Village NV

12 49 Highway 28 at Stag Drive Tahoe Vista CA

13 C-In Highway 431 at Country Club Drive Incline Village NV

14 C-In Highway 431 at Country Club Drive Incline Village NV

A-5

Table A2 Size-fractioned analysis of stormwater runoff samples collected from the Tahoe Basin Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) and turbidity (NTU) Also shown are percentages of analyte represented in each size fraction (-ƒ) relative to the bulk sample (assume lt1000 microm asymp 100 of original sample)

Size Sample Turbidity TKN NTU-ƒ vs SSndashƒ vs TP-ƒ vs TKN-ƒ vsSample Site ID SS (mgL) TP (μgL)

Fraction Date (NTU) NTU-1000 SS-1000 TP-1000 TKN-1000(μgL)

1 SB lt1000microm 111811 87 140 433 -- -- -- -- --

2 48 lt1000microm 111811 445 352 835 -- -- -- -- --

3 SB lt1000microm 12012 176 150 480 -- -- -- -- --

4 56 lt1000microm 12012 134 207 855 -- -- -- -- --

5 88 lt1000microm 3112 128 153 143 -- -- -- -- --

6 37 lt1000microm 31412 135 121 445 -- -- -- -- --

7 J-In lt1000microm 32514 495 630 2101 4151 -- -- -- --

8 83 lt1000microm 42514 123 147 712 1196 -- -- -- --

9 C-In lt1000microm 52014 106 87 452 999 -- -- -- --

10 88 lt1000microm 72014 29 24 169 1989 -- -- -- --

11 J-In lt1000microm 103114 70 78 286 3023 -- -- -- --

12 49 lt1000microm 103114 75 66 205 1865 -- -- -- --

13 C-In lt1000microm 12314 82 133 603 2011 -- -- -- --

14 C-In lt1000microm 2715 353 465 982 439 -- -- -- --

------------ ------------ ------------ ------------ Average lt 1000 microm 100 100 100 100

1 SB lt 63μm 111811 87 136 422 -- 100 97 97 --

2 48 lt 63μm 111811 426 267 826 -- 96 76 99 --

3 SB lt 63μm 12012 178 118 420 -- 101 79 88 --

4 56 lt 63μm 12012 134 174 850 -- 100 84 99 --

5 88 lt 63μm 3112 118 104 132 -- 92 68 92 --

6 37 lt 63μm 31412 126 103 359 -- 93 85 81 --

7 J-In lt 63μm 32514 481 524 2083 3904 97 83 99 94

8 83 lt 63μm 42514 123 129 709 1043 100 88 100 87

9 C-In lt 63μm 52014 103 63 435 994 97 72 96 99

10 88 lt 63μm 72014 29 23 161 1999 100 96 95 101

A-6

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

11 J-In lt 63μm 103114 64 57 285 2932 91 73 100 97

12 49 lt 63μm 103114 68 63 204 1852 91 95 100 99

13 C-In lt 63μm 12314 81 119 593 2051 99 89 98 102

14 C-In lt 63μm 2715 346 438 926 431 98 94 94 98

-----------shy -----------shy -----------shy -----------shy Average lt 63 microm 97 84 96 97

1 SB lt 20μm 111811 81 98 416 -- 93 70 96 --

2 48 lt 20μm 111811 326 234 801 -- 73 66 96 --

3 SB lt 20μm 12012 171 77 370 -- 97 51 77 --

4 56 lt 20μm 12012 103 97 690 -- 77 47 81 --

5 88 lt 20μm 3112 118 101 121 -- 92 66 85 --

6 37 lt 20μm 31412 111 57 336 -- 82 47 76 --

7 J-In lt 20μm 32514 436 385 1833 3175 88 61 87 76

8 83 lt 20μm 42514 92 97 526 759 75 66 74 63

9 C-In lt 20μm 52014 84 45 398 760 79 52 88 76

10 88 lt 20μm 72014 28 12 144 1805 97 50 85 91

11 J-In lt 20μm 103114 63 48 216 2481 90 62 76 82

12 49 lt 20μm 103114 54 36 198 1785 72 55 97 96

13 C-In lt 20μm 12314 63 82 516 1842 77 62 86 92

14 C-In lt 20μm 2715 331 353 811 441 94 76 83 100

-----------shy -----------shy -----------shy -----------shy Average lt 20 microm 85 59 85 85

1 SB lt 10μm 111811 58 65 154 -- 67 46 36 --

2 48 lt 10μm 111811 227 133 475 -- 51 38 57 --

3 SB lt 10μm 12012 96 61 310 -- 55 41 65 --

4 56 lt 10μm 12012 68 85 340 -- 51 41 40 --

5 88 lt 10μm 3112 69 50 71 -- 54 33 50 --

6 37 lt 10μm 31412 77 43 155 -- 57 36 35 --

7 J-In lt 10μm 32514 320 306 1762 2973 65 49 84 72

8 83 lt 10μm 42514 62 55 322 622 50 37 45 52

A-7

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

9 C-In lt 10μm 52014 59 37 257 640 56 43 57 64

10 88 lt 10μm 72014 16 10 131 1687 55 42 78 85

11 J-In lt 10μm 103114 37 36 216 2383 53 46 76 79

12 49 lt 10μm 103114 44 26 166 1691 59 39 81 91

13 C-In lt 10μm 12314 47 54 367 1844 57 41 61 92

14 C-In lt 10μm 2715 144 118 298 496 41 25 30 113

-----------shy -----------shy -----------shy -----------shy Average lt 10 microm 55 40 57 81

1 SB lt 5μm 111811 31 42 151 -- 36 30 35 --

2 48 lt 5μm 111811 135 87 327 -- 30 25 39 --

3 SB lt 5μm 12012 58 44 280 -- 33 29 58 --

4 56 lt 5μm 12012 34 51 260 -- 25 25 30 --

5 88 lt 5μm 3112 45 27 45 -- 35 18 31 --

6 37 lt 5μm 31412 44 28 109 -- 33 23 24 --

7 J-In lt 5μm 32514 198 161 607 1983 40 26 29 48

8 83 lt 5μm 42514 38 33 156 539 31 22 22 45

9 C-In lt 5μm 52014 35 22 129 600 33 25 29 60

10 88 lt 5μm 72014 8 7 106 1676 28 29 63 84

11 J-In lt 5μm 103114 19 22 161 2249 27 28 56 74

12 49 lt 5μm 103114 25 16 141 1361 33 24 69 73

13 C-In lt 5μm 12314 28 29 149 1968 34 22 25 98

14 C-In lt 5μm 2715 41 98 198 502 12 21 20 114

-----------shy -----------shy -----------shy -----------shy Average lt 5 microm 31 25 38 75

1 SB lt 045μm 111811 06 na 19 -- 0 -- 4 --

2 48 lt 045μm 111811 07 na 8 -- 0 -- 1 --

3 SB lt 045μm 12012 06 na 19 -- 0 -- 4 --

4 56 lt 045μm 12012 06 na 20 -- 0 -- 2 --

5 88 lt 045μm 3112 06 na 7 -- 1 -- 5 --

6 37 lt 045μm 31412 02 na 6 -- 0 -- 1 --

A-8

Sample Site ID Size

Fraction Sample

Date Turbidity

(NTU) SS (mgL) TP (μgL)

TKN

(μgL)

NTU-ƒ vs NTU-1000

SSndashƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

7 J-In lt 045μm 32514 03 na 11 803 0 -- 1 19

8 83 lt 045μm 42514 02 na 6 311 0 -- 1 26

9 C-In lt 045μm 52014 04 na 13 440 0 -- 3 44

10 88 lt 045μm 72014 02 na 6 1224 0 -- 4 62

11 J-In lt 045μm 103114 02 na 5 1465 0 -- 2 48

12 49 lt 045μm 103114 03 na 8 932 0 -- 4 50

13 C-In lt 045μm 12314 02 na 5 1562 0 -- 1 78

14 C-In lt 045μm 2715 03 na 19 469 0 -- 2 107

-----------shy -----------shy -----------shy -----------shy Average lt 045 microm 0 -- 3 54

A-9

Table A3 Size-fractioned analysis of sediment cores collected from the Tahoe City Wetland Treatment System (TCWTS) Percentages of analyte are shown for each size fraction (-ƒ) relative to bulk suspension (lt1000 microm) Note that concentrations are listed for comparison between fractions only these are not core concentrations since core samples were substantially diluted to disperse and sieve sediments Analyses included suspended sediment (SS) total phosphorus (TP) total Kjehldahl nitrogen (TKN) turbidity (NTU) and loss-on-ignition (LOI)

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

TCWTS Core 1 lt 1000microm 1803 2694 1918 6825 10 100 100 100 100

TCWTS Core 2 lt 1000microm 3201 3845 2105 7587 8 100 100 100 100

TCWTS Core 3 lt 1000microm 2816 3556 1907 5721 8 100 100 100 100

TCWTS Core 4 lt 1000microm 2333 3062 1450 5389 8 100 100 100 100

TCWTS Core 5 lt 1000microm 1553 2474 1126 2946 8 100 100 100 100

---------shy ---------shy ---------shy ---------shy Average lt 1000 microm 100 100 100 100

TCWTS Core 1 lt 63microm 1752 2156 1753 5334 10 97 80 91 78

TCWTS Core 2 lt 63microm 3031 3669 1919 6454 8 95 95 91 85

TCWTS Core 3 lt 63microm 2582 2964 1705 4001 8 92 83 89 70

TCWTS Core 4 lt 63microm 2246 2619 1332 4631 7 96 86 92 86

TCWTS Core 5 lt 63microm 1504 2011 1046 2883 8 97 81 93 98

---------shy ---------shy ---------shy ---------shy Average lt 63 microm 95 85 91 83

TCWTS Core 1 lt 20microm 1593 1719 1416 4115 12 88 64 74 60

TCWTS Core 2 lt 20microm 2857 2934 1546 4901 11 89 76 73 65

TCWTS Core 3 lt 20microm 2489 2322 1381 4014 10 88 65 72 70

TCWTS Core 4 lt 20microm 2037 2073 1079 3942 10 87 68 74 73

TCWTS Core 5 lt 20microm 1372 1631 812 2644 10 88 66 72 90

---------shy ---------shy ---------shy ---------shy Average lt 20 microm 88 68 73 72

TCWTS Core 1 lt 10microm 1187 1181 1076 3008 13 66 44 56 44

TCWTS Core 2 lt 10microm 2051 1926 1208 4072 12 64 50 57 54

TCWTS Core 3 lt 10microm 1746 1600 1037 2909 12 62 45 54 51

TCWTS Core 4 lt 10microm 1572 1642 839 2974 12 67 54 58 55

TCWTS Core 5 lt 10microm 1007 1193 641 2038 12 65 48 57 69

A-10

Site Core

Suspension Size

Fraction Turbidity (NTU)

SS (mgL)

TP (microgL)

TKN (microgL)

LOI () NTU-ƒ vs NTU-1000

SS-ƒ vs SS-1000

TP-ƒ vs TP-1000

TKN-ƒ vs TKN-1000

---------shy ---------shy ---------shy ---------shy Average lt 10 microm 65 48 56 55

TCWTS Core 1 lt 5microm 785 828 795 2518 13 44 31 41 37

TCWTS Core 2 lt 5microm 1242 1251 848 3452 12 39 33 40 45

TCWTS Core 3 lt 5microm 1156 1122 776 2544 12 41 32 41 44

TCWTS Core 4 lt 5microm 1031 1132 636 2649 12 44 37 44 49

TCWTS Core 5 lt 5microm 648 742 451 1754 12 42 30 40 60

---------shy ---------shy ---------shy ---------shy Average lt 5 microm 42 33 41 47

TCWTS Core 1 lt 045microm 077 na 8 112 na 0 -- 0 2

TCWTS Core 2 lt 045microm 085 na 5 492 na 0 -- 0 6

TCWTS Core 3 lt 045microm 065 na 4 271 na 0 -- 0 5

TCWTS Core 4 lt 045microm 077 na 4 408 na 0 -- 0 8

TCWTS Core 5 lt 045microm 110 na 4 446 na 0 -- 0 15

---------shy ---------shy ---------shy ---------shy Average lt 045 microm 0 -- 0 7

Core samples were substantially diluted to disperse and sieve sediments Thus values do not represent original core concentrations

A-11

Page 14: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
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Page 66: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 67: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 68: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 69: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 70: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 71: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 72: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 73: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 74: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 75: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 76: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 77: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 78: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line
Page 79: Tahoe Stormwater Assessment and Management for Urban …...This wetland was constructed specifically to treat stormwater runoff from the urban core of Tahoe City and was brought on-line