Appendix B - Lower WMA Guidance Documentsrcflood.org/downloads/NPDES/Documents/SMRWMA/Annual Report/TM… · IBI Index of Biotic Integrity m meter mL milliliter MLS Mass Loading Stations

Santa Margarita River WMA TMAR – FINAL APPENDIX B

January 2018

APPENDIX B – SANTA MARGARITA RIVER WMA GUIDANCE DOCUMENTS

B-1: Transitional Receiving Water Monitoring Workplan (Lower SMR Subwatershed)

B-2: Transitional Wet Weather MS4 Monitoring Workplan

Transitional Receiving Water Monitoring

Work Plan

Prepared for:

San Diego County Regional Copermittees

Prepared by:

Weston Solutions, Inc. 5817 Dryden Place, Suite 101

Carlsbad, California 92008

January 5, 2015 Revised November 9, 2015

Transitional Receiving Water Monitoring Work Plan January 5, 2015

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TABLE OF CONTENTS

1.0 INTRODUCTION .............................................................................................................. 1 1.1 Outline of Activities ................................................................................................ 1

2.0 MONITORING METHODS .............................................................................................. 5 2.1 Monitoring Locations.............................................................................................. 5 2.2 Transitional Receiving Water Monitoring and Long-Term Receiving

Water Monitoring.................................................................................................. 10 2.2.1 Flow Monitoring ....................................................................................... 10 2.2.2 Water Quality Sampling ........................................................................... 13 2.2.3 Sample Analysis........................................................................................ 15 2.2.4 Quality Assurance/Quality Control........................................................... 15

2.3 Post-Storm Sediment Pyrethroid Monitoring ....................................................... 18 2.4 Toxicity Identification Evaluations....................................................................... 18 2.5 Dry Weather Receiving Water Bioassessment Monitoring .................................. 19

2.5.1 2014 SMC Regional Monitoring Program ................................................ 20 2.5.2 2015 SMC Regional Monitoring Program ................................................ 21 2.5.3 Monitoring Reaches .................................................................................. 21 2.5.4 Monitoring Reach Delineation .................................................................. 23 2.5.5 Macroinvertebrate Sample Collection ...................................................... 23 2.5.6 Multihabitat Periphyton Sample Collection.............................................. 23 2.5.7 Physical Habitat Quality Assessment ....................................................... 24 2.5.8 Laboratory Processing and Analysis ......................................................... 24 2.5.9 Quality Assurance / Quality Control......................................................... 25

2.6 Dry Weather Hydromodification Monitoring ....................................................... 25 2.6.1 Channel Dimensions ................................................................................. 27 2.6.2 Hydrologic and Geomorphic Conditions .................................................. 27 2.6.3 Presence and Condition of Vegetation and Habitat Integrity ................... 27 2.6.4 Photo Documentation................................................................................ 28 2.6.5 Dimensions of Bed or Bank Eroded Areas ............................................... 28 2.6.6 Location of Discharge Points/Known or Suspected Causes of

Erosion or Habitat Impact ......................................................................... 28 2.7 Statistical Methods ................................................................................................ 29

2.7.1 Trend Analysis .......................................................................................... 29 2.7.2 Constituent Comparisons .......................................................................... 30

2.8 Discharge Volume Calculation and Flow Modeling for Loading Estimates ........ 31

3.0 ASSESSMENT AND REPORTING ................................................................................ 32

4.0 REFERENCES ................................................................................................................. 33 ATTACHMENTS Attachment A – List of Analytes, Methods, Volume Required, Holding Time, and Target

Reporting Limit by Station for Dry Weather and Wet Weather Attachment B – List of Water Quality Benchmarks for Use in the San Diego County Regional

Copermittee Monitoring Program


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LIST OF TABLES

Table 1-1. Summary of Sampling Activities for 2013-2014 Monitoring Season ........................... 3 Table 1-2. Summary of Sampling Activities for 2014-2015 Monitoring Season ........................... 4 Table 2-1. List of Mass Loading Station/Temporary Watershed Assessment Station

Monitoring Locations for the 2013–2014 Monitoring Season ........................................... 6 Table 2-2. List of Mass Loading Station/Temporary Watershed Assessment Station

Monitoring Locations for the 2014–2015 Monitoring Season ........................................... 8 Table 2-3. Phase I TIE Manipulations .......................................................................................... 19 Table 2-4. Reference Stations for 2014 Receiving Water Bioassessment Monitoring................. 21 Table 2-5. Reference Stations for 2015 Receiving Water Bioassessment Monitoring................. 21 Table 2-6. SMC Regional Monitoring Program Monitoring Locations for 2014......................... 22 Table 2-7. SMC Regional Monitoring Program Monitoring Locations for 2015......................... 22 Table 2-8. Hydromodification Monitoring Requirements ............................................................ 26


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LIST OF ACRONYMS

2007 Permit RWQCB Order No. R9-2007-0001 2013 Permit RWQCB Order No. R9-2013-0001 ADCP Acoustic Doppler Current Profiler AFDM ash-free dry mass APHA American Public Health Association ASTM American Society for Testing and Materials AWWA American Water Works Association BDL below detection limit BMI benthic macroinvertebrate BMP best management practice BOD biochemical oxygen demand BSA bovine serum albumin CDFG California Department of Fish and Game COC chain of custody cm2 square centimeter CRAM California Rapid Assessment Method CSBP California Stream Bioassessment DO Dissolved oxygen EDTA ethylenediaminetetraacetic acid ELAP Environmental Laboratory Accreditation Program EMC event mean concentration GIS geographic information system IBI Index of Biotic Integrity m meter mL milliliter MLS Mass Loading Stations mm millimeter MS4 municipal separate storm sewer system NOAA National Oceanic and Atmospheric Administration PBO piperonyl butoxide pH hydrogen ion concentration PHAB Physical Habitat PVC polyvinyl chloride O/E observed to expected QA quality assurance QC quality control RWQCB Regional Water Quality Control Board SAFIT Southwest Association of Freshwater Invertebrate Taxonomists SCAMIT Southern California Association of Marine Invertebrate Taxonomists SCCWRP Southern California’s Coastal Water Research Project SMC Stormwater Monitoring Coalition SOP standard operating procedure SPE solid phase extraction STS sodium thiosulfate


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SWAMP Surface Water Ambient Monitoring Program SWMM Stormwater Management Model TAC Technical Advisory Committee TIE toxicity identification evaluation TSS total suspended solids TWAS Temporary Watershed Assessment Stations USEPA United States Environmental Protection Agency USGS U.S. Geological Survey WEF Water Environment Federation WESTON® Weston Solutions, Inc. WMA Watershed Management Area


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1.0 INTRODUCTION The purpose of this work plan is to describe the methods and procedures for the 2013-2014 and 2014-2015 transitional receiving water monitoring and the long-term receiving water monitoring required by the San Diego Regional Water Quality Control Board (RWQCB) Order No. R9-2013-0001 (2013 Permit). Receiving water monitoring conducted by the San Diego County Regional Copermittees (Copermittees) will be conducted in the southern section of San Diego County (County) during the 2013-2014 monitoring season and the northern section of the County during the 2014-2015 monitoring season. 1.1 Outline of Activities During the 2013–2014 monitoring season, Weston Solutions, Inc. (WESTON®) will conduct the following to satisfy the requirements of the Monitoring and Assessment Program Section of the 2013 Permit:

Transitional receiving water monitoring at Mass Loading Stations (MLS) and Temporary Watershed Assessment Stations (TWAS) in accordance with the 2013 Permit (D.1.a.(1)), referencing the continuation of the receiving water monitoring required by the RWQCB Order No. R9-2007-0001 (2007 Permit).

Long-term receiving water monitoring at four southern MLS in accordance with the 2013 Permit (D.1.b, c, and d).

Post-storm sediment pyrethroid monitoring in accordance with the 2007 Permit (Section II.A.7).

Toxicity identification evaluations (TIEs) in accordance with the 2007 Permit (Section II.A.4).

Dry weather hydromodification monitoring in accordance with the 2013 Permit (D.1.c.(6)).

Rapid stream bioassessment and Stormwater Monitoring Coalition (SMC) regional monitoring surveys in accordance with the 2013 Permit (D.1.a.(1), D.1.a.(3)(a), D.1.c.(5), and D.1.e.(1)(a)).

During the 2014–2015 monitoring season, WESTON will conduct the following activities to satisfy the requirements of the Monitoring and Assessment Program Section of the 2013 Permit:

Transitional receiving water monitoring at MLS and TWAS in accordance with the 2013 Permit (D.1.a.(1)), referencing the continuation of the receiving water monitoring as required by the 2007 Permit.

Long-term receiving water monitoring at five northern MLS in accordance with the 2013 Permit (D.1.b, c, and d).

Post-storm sediment pyrethroid monitoring in accordance with the 2007 Permit (Section II.A.7).

TIEs in accordance with the 2007 Permit (Section II.A.4).

Dry weather hydromodification monitoring in accordance with the 2013 Permit (D.1.c.(6)).


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Rapid stream bioassessment and SMC regional monitoring surveys in accordance with the 2013 Permit (D.1.a.(1), D.1.a.(3)(a), D.1.c.(5), and D.1.e.(1)(a)).

Summaries of the sampling activities for the 2013-2014 and 2014-2015 monitoring seasons are shown in Table 1 and Table 2.


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Table 1-1. Summary of Sampling Activities for 2013-2014 Monitoring Season

Watershed Management

Area Station ID

D.1.a Transitional Receiving Water Monitoring (R9-2013-0001)

D.1.b. Long-Term Receiving Water Monitoring Stations (R9-2013-0001)

Two Dry Weather and Two Wet Weather Receiving Water Monitoring Events (R9-2007-0001)

Dry Weather Receiving Water Bioassessment Monitoring (R9-2007-0001)

Post-Storm Sediment Pyrethroid Monitoring (R9-2007-0001)

Additional chemistry and toxicity tests to satisfy D.1.c. and D.1.d., three Dry Weather and three Wet Weather Receiving Water Monitoring Events (R9-2013-0001)*

D.1.c.(5) Dry Weather Receiving Water Bioassessment Monitoring (R9-2013-0001)

D.1.c.(6) Dry Weather Receiving Water Hydromodification Monitoring (R9-2013-0001)

Mission Bay TC-MLS x x x x x x MB-TWAS-1 x x x MB-TWAS-2 x x x

San Diego River

SDR-MLS x x x x x x SDR-TWAS-1 x x x SDR-TWAS-2 x x x SDR-TWAS-3 x x x

San Diego Bay**

CC-NF54/ CC-SD8(1) x x x SR-MLS x x x x x x SR-TWAS-1 x x x OR-TWAS-1 x x x

Tijuana River TJR-MLS x x x x x x TJ-TWAS-1 x x x

*The effort for two of the three of the monitoring events will be covered by transitional monitoring conducted under D.1.a with additional chemistry and toxicity to satisfy D.1.b., D.1.c. and D.1.d. **One long-term receiving water monitoring station is required by the 2013 Permit for each Watershed Management Area (WMA). The site may change as necessary to support the Water Quality Improvement Plan.


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Table 1-2. Summary of Sampling Activities for 2014-2015 Monitoring Season

Watershed Management

Area Station ID

D.1.a Transitional Receiving Water Monitoring (R9-2013-0001)

D.1.b. Long-Term Receiving Water Monitoring Stations (R9-2013-0001)

Two Dry Weather and Two Wet Weather Receiving Water Monitoring Events (R9-2007-0001)

Dry Weather Receiving Water Bioassessment Monitoring (R9-2007-0001)

Post-Storm Sediment Pyrethroid Monitoring (R9-2007-0001)

Additional chemistry and toxicity tests to satisfy D.1.c. and D.1.d., three Dry Weather and three Wet Weather Receiving Water Monitoring Events (R9-2013-0001)*

D.1.c.(5) Dry Weather Receiving Water Bioassessment Monitoring (R9-2013-0001)

D.1.c.(6) Dry Weather Receiving Water Hydromodification Monitoring (R9-2013-0001)

Santa Margarita River SMR-MLS-2 x x x x x x

San Luis Rey River

SLR-MLS x x x x x x SLR-TWAS-1 x x x SLR-TWAS-2 x x x

Carlsbad**

LA-TWAS-1 x x x BVC-TWAS-1 x x x

AHC-MLS x x x SM-TWAS-1 x x x

EC-MLS x x x x x x

San Dieguito River

SDC-MLS x x x x x x SDC-TWAS-1 x x x SDC-TWAS-2 x x x

Los Peñasquitos LPC-MLS x x x x x x

LPC-TWAS-2 x x x LPC-TWAS-3 x x x

San Diego Bay CC-NF54/ CC-SD8(1) x x x

*The effort for two of the three of the monitoring events will be covered by transitional monitoring conducted under D.1.a with additional chemistry and toxicity to satisfy D.1.b., D.1.c. and D.1.d. **One long-term receiving water monitoring station is required by the 2013 Permit for each WMA. The site may change as necessary to support the Water Quality Improvement Plan.


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2.0 MONITORING METHODS The following sections describe the methods for each activity of the transitional receiving water monitoring and the long-term receiving water monitoring to fulfill the requirements of the Monitoring and Assessment Program Section of the 2013 Permit. 2.1 Monitoring Locations The sampling locations for the 2013-2014 and 2014-2015 monitoring seasons are shown in Table 3 and Table 4, respectively.


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Table 2-1. List of Mass Loading Station/Temporary Watershed Assessment Station Monitoring Locations for the 2013–2014 Monitoring Season

WMA Watershed Station ID Latitude Longitude Cross Street Description Land Use Description Notes Channel Type Jurisdiction

Mission Bay

Tecolote Creek

TC-MLS 32.772933 -117.203064 Tecolote Bridge on Morena Boulevard, just north of Tecolote Drive (i.e., Seaworld Drive.)

Primarily residential with some industrial, commercial, and open space.

Historical MLS. Wet weather monitoring station only. Long-term receiving water monitoring station.

Concrete trapezoidal channel. City of San Diego

TC-MLS(upstream of diversion)

32.775645 -117.196506 Approximately 100 meters east of the end of Tecolote Road cul-de-sac.


MLS used for dry weather monitoring due to diversion. Long-term receiving water monitoring station.

Concrete trapezoidal channel. City of San Diego

Mission Bay Rose Creek MB-TWAS-1 32.816776 -117.222681 Where Santa Fe Street Bridge crosses Rose Creek

Primarily residential, open space, and public utilities

This TWAS provides additional spatial data for Mission Bay Watershed. Station captures both Rose Canyon and San Clemente Canyon drainages.

Natural channel City of San Diego

Mission Bay Tecolote Creek MB-TWAS-2 32.797982 -117.189563 Just south of Mount Acadia Boulevard and Snead Avenue intersection.

Primarily residential. This TWAS provides upstream data for comparison to MLS. Station is upstream from Tecolote Canyon Golf Course.

Natural channel with box channel and drop structure City of San Diego

San Diego River San Diego River SDR-MLS 32.765240 -117.168617 Directly south of the Fashion Valley Trolley Station at the footbridge.


Historical MLS. Station is co-located with a U.S. Geological Survey (USGS) gauging station. Long-term receiving water monitoring station.


San Diego River San Diego River SDR-TWAS-1 32.783587 -117.104129 San Diego Mission Road Bridge Residential, parks, and open space

Station will capture upstream influences to compare to other TWAS and MLS. Station may be influenced from backflows from ponding during storm events.

Natural channel with multiple pipes through bridge

City of San Diego

San Diego River San Diego River SDR-TWAS-2 32.839194 -117.024194 West Hills Parkway Bridge just north of Mission Gorge Road

Primarily residential, commercial and industrial, and open space.

Station will capture upstream influences to compare to other TWAS and MLS. Station is co-located with a USGS Gauging Station.

Natural channel County of San Diego

San Diego River San Diego River SDR-TWAS-3 32.856457 -116.947221 Just west of Riverford Road Bridge and north of Woodside Avenue intersection.

Open space, residential, and commercial.

Uppermost station to compare to other TWAS and MLS. There may be sediment basins and diversions in areas near the river. Influences from construction activities may be measured in analytical results.

Natural channel

California Department of Fish and Game (CDFG), County of San Diego, Lakeside Land Company

San Diego Bay

Chollas Creek

CC-SD8(1) 32.70552 -117.121166 33rd and Steel Street Primarily residential and commercial, some industrial and transportation.

Historical MLS. Wet weather monitoring station only. Concrete Channel City of San Diego

CC-NF54 32.741374 -117.083543 Near 54th St. and Chollas Pkwy N. Primarily residential and commercial, some industrial and transportation.

MLS used for dry weather monitoring. Concrete Channel City of San Diego

San Diego Bay Sweetwater River SR-MLS 32.650720 -117.063592 Plaza Bonita Road just south of Equitation Lane.


Historical MLS. Long-term receiving water monitoring station. Natural channel City of Chula Vista


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San Diego Bay Sweetwater River SR-TWAS-1 32.732796 -116.94025 Just east of Steel Canyon Bridge and south of Campo Road and Singer Lane intersection.

Parks and residential. This TWAS provides upstream data for comparison to MLS. Natural channel Caltrans, County of

San Diego

San Diego Bay Otay River OR-TWAS-1 32.588464 -117.071683 Otay River at the Beyer Boulevard Bridge.

Residential, commercial, some industrial, and open space.

This is the safest and most favorable downstream location for monitoring. Station at Hollister Street was vandalized (completely stolen in 2009).


Tijuana River Tijuana River TJR-MLS 32.551306 -117.084050 Southernmost bridge over Tijuana River on Hollister Street.

Primarily open space, agriculture, and residential in the immediate vicinity. City of Tijuana is directly upstream.

Historical MLS. Long-term receiving water monitoring station. Natural channel City of San Diego

Tijuana River Tijuana River TJ-TWAS-1 32.60939 -116.47421 Campo Creek at Highway 94 just southwest of the railroad crossing.

Rural residential, residential, agriculture, open space, and some industrial.

This TWAS provides data on the east county community of Campo. Natural channel County of San

Diego


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Santa Margarita River

Santa Margarita SMR-MLS-2 33.398142 -117.26273 De Luz Road Bridge over Santa Margarita Bridge

Open space, agricultural, residential

MLS located upstream of MCB Camp Pendleton. Long-term receiving water monitoring station.

Natural Channel County of San Diego

San Luis Rey River

San Luis Rey River SLR-MLS 33.2206476 -117.35825 Benet Road Bridge over San

Luis Rey River Open space, agricultural, residential

Historical MLS. Long-term receiving water monitoring station. Natural Channel City of Oceanside

San Luis Rey River

San Luis Rey River SLR-TWAS-1 33.288139 -117.223009 Camino Del Rey Bridge and

San Luis Rey River

Primary land use is agricultural and open space with some residential.

This TWAS will provide upstream data for comparison to MLS and different land use inputs.


San Luis Rey River

San Luis Rey River SLR-TWAS-2 33.254913 -117.295159 San Luis Rey south of N River

Road

Primary land use is rural residential and some agriculture and high density residential.

Continuing with the priorities discussed in other Technical Advisory Committees (TACs) and working groups, it was decided to put the TWAS in the Lower San Luis Rey River. This marks the end of the agricultural and rural residential land use in the San Luis Rey River and transitions to high density residential and commercial.

Natural Channel City of Oceanside

Carlsbad Loma Alta Creek LA-TWAS-1 33.188289 -117.361644 East of Parkwood Ln Bridge and Evergreen Parkway and on West side of I-5 Freeway

Mix of public utilities, residential, commercial, and industrial.

TWAS for Loma Alta Creek. Concrete Channel City of Oceanside

Carlsbad Buena Vista

Creek BVC-TWAS-1 33.18088 -117.3267 Immediately east of El Camino Real Bridge and just North of Haymar Drive

Primarily residential and commercial TWAS for Buena Vista Creek. Concrete Sides with

Natural Bottom City of Carlsbad

Carlsbad Agua Hedionda

Creek AHC-MLS 33.1495195 -117.297082 El Camino Real and Cannon Blvd.

Primarily residential and commercial Historical MLS. Natural Channel City of Carlsbad

Carlsbad San Marcos Creek

SM-TWAS-1a 33.13053 -117.20037 At Discovery Street Bridge Primarily residential and commercial Wet weather monitoring station only. Natural Channel City of San Marcos

SM-TWAS-1b 33.13166 -117.18687 Bridge at Via Vera Cruz Primarily residential and commercial Dry weather monitoring station only. Natural Channel City of San Marcos


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Carlsbad Escondido Creek EC-MLS 33.0482901 -117.226032 El Camino Del Norte Bridge Primarily residential, open space, and commercial

Historical MLS. Long-term receiving water monitoring station. Natural Channel City of San Diego

San Dieguito River

San Dieguito River SDC-MLS 32.9990817 -117.205625 Via De La Valle just east of

Morgan Run Golf Course Residential and open space, some agriculture


San Dieguito River

San Dieguito River SDC-TWAS-1 33.0434 -117.07538 W. Bernardo Road Bridge just

north of Aguamiel Drive. Primary land use is residential.

This TWAS captures the southern input to Lake Hodges. This TWAS provides upstream data for comparison to MLS and different land use from northern input.

Natural Channel City of San Diego

San Dieguito River

San Dieguito River SDC-TWAS-2 33.060656 -117.031108

Just north of Highland Valley Road and 1.1 miles east of Sycamore Creek Road Junction.

Primarily agricultural and open space.

This TWAS captures the northern (main) input to Lake Hodges. This TWAS will provide upstream data for comparison to MLS and different land use from southern input.


Los Peñasquitos Los Peñasquitos

Creek LPC-MLS 32.9045977 -117.22262 Vista Sorrento Parkway just north of Sorrento Valley Blvd.

Residential, open space, commercial



Creek LPC-TWAS-2 32.94262 -117.084042 East of Springbrook Drive and south of Sabre Springs Parkway.

Primarily residential and commercial.

This TWAS provides upstream data for comparison to MLS. Natural Channel City of San Diego


Creek LPC-TWAS-3 32.94636 -117.2046

East of Carmel Country Rd at bridge below Caminito Radiante

Primarily residential and open space.

Station added in 2012-2013 to provide data for Carmel Creek. Armored Rip Rap Channel City of San Diego

San Diego Bay Chollas Creek

CC-SD8(1) 32.70552 -117.121166 33rd and Steel Street Primarily residential and commercial, some industrial and transportation.

Historical MLS. Wet weather monitoring station only.

Concrete Channel City of San Diego

CC-NF54 32.741374 -117.083543 Near 54th St. and Chollas Pkwy N.

Primarily residential and commercial, some industrial and transportation.

MLS used for dry weather monitoring. Concrete Channel City of San Diego


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2.2 Transitional Receiving Water Monitoring and Long-Term Receiving Water Monitoring

Transitional receiving water monitoring at MLS and TWAS will be conducted in accordance with the 2013 Permit (D.1.a.(1)), referencing the continuation of the receiving water elements of the 2007 Permit. Long-term receiving water monitoring will also be conducted at one MLS in each Watershed Management Area (WMA), in accordance with the 2013 Permit (D.1.b, c, and d). The transitional receiving water stations include all MLS and TWAS. The nine long-term receiving water monitoring stations include the following: SMR-MLS-2, SLR-MLS, EC-MLS, SDC-MLS, LPC-MLS, TC-MLS, SDR-MLS, SR-MLS, and TJR-MLS. The 2013-2014 monitoring season will include monitoring in the southern WMAs (Mission Bay WMA to Tijuana River WMA), and the 2014-2015 monitoring season will include monitoring in the northern WMAs (Santa Margarita River to Los Peñasquitos) and Chollas Creek.

Seasonal mobilization and demobilization activities will include the following:

MLS and TWAS will be installed and maintained to perform flow monitoring and sampling during the monitoring year (i.e., September 1 through approximately June 30).

Flow monitoring data will be collected throughout the monitoring season to estimate the annual watershed loads.

Stations will be removed at the end of the monitoring season (approximately June 30). Safety and quality are integral parts of the WESTON culture. Team safety meetings and

quality reviews will be conducted to ensure that safe and reliable business practices are used during the performance of this program.

2.2.1 Flow Monitoring Flow rates will be monitored using American Sigma (or comparable) flowmeters with an ultrasonic sensor, bubbler, or submerged pressure transducer as the primary measuring device. The primary sensor will continuously measure stage (i.e., stream height) and relay that information to the flowmeter. The flowmeter will continually calculate flow rates by inserting the stage information into the preprogrammed discharge equation. Using this system, the flowmeter will be able to actuate the sampler to achieve a flow-weighted composite sample. Sampling and flow equipment will be monitored remotely, and data will be transferred to a permanent data system by cellular modem or manual download. The MLS and TWAS equipment installed and used for monitoring during dry weather will remain in place during the course of the monitoring year (except where stations are located specifically for dry weather only sampling). The monitoring year is approximately September 1 through June 30. Continual flow data will be downloaded remotely from each station once every 2 weeks to verify equipment functionality and thus to reduce data gaps, ensure accuracy, and identify maintenance and calibration needs. Flow data will be entered into the data management system. Equipment will be maintained throughout this period to ensure it is in proper working order.


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2.2.1.1 Stream Ratings

The flow rate at each of the monitoring stations will be determined by stream stage (water level) sensors that are typically secured to the bottom of the channel. To quantify flow rates based on stream stage, a relationship between flow and stage will be derived using the standardized stream rating protocols developed by the U.S. Geological Survey (USGS) (Rantz, 1982; Oberg et al., 2005). Instantaneous flow measurements will be taken at various stages at each of the stations. The measurements will be combined to produce and calibrate the rating curve for each station. To accurately measure flow in streams, the following three critical elements are needed to develop the rating curves:

An accurate survey of the stream channel cross section and longitudinal slope. Accurate level measurements based on a fixed point. Measurements of velocity and flows at several points throughout the rating curve,

including low flow, mid flow, and peak flow conditions.

To measure instantaneous flows during low flow and base flow conditions, two velocity measurement instruments are typically used—a Marsh-McBirney Model 2000 Portable Flowmeter connected by a cable to an electromagnetic open channel velocity sensor and the SonTek (YSI) FlowTracker Acoustic Doppler Velocimeter. The FlowTracker is a high-precision, shallow-water flowmeter that measures velocity in three dimensions and features an automatic discharge computation. To make an instantaneous flow measurement, a tape measure is stretched across the stream, perpendicular to flow and secured on both banks of the stream. The tape is positioned so that it is suspended approximately 1 ft above the surface of the water. The distance on the tape directly above the waterline (i.e., where the water meets the bank) is recorded as the initial point. The first measurement is made at the first point where there is adequate water depth (i.e., at least 0.2 ft) and measurable velocity. At this point, three measurements are made, including water depth, velocity, and distance from the bank (the initial point). Subsequent depth, velocity, and distance measurements are made incrementally across the entire width of the channel. Data from the field measurements are entered into a computer model that calculates the stream’s cross-sectional profile from the depth and distance from bank measurements. Total flow across the channel is determined by integrating the velocity measurements over the cross-sectional surface area of the stream channel. The result is an instantaneous flow measurement in cubic feet per second. A StreamPro Acoustic Doppler Current Profiler (ADCP) is used to measure mid- and high-stage flow conditions. The StreamPro ADCP is the USGS instrument of choice for measuring flows nationwide (Oberg et al., 2005). The instrument is pulled across the stream either by walking across a bridge or attaching the unit to a tagline. Data are collected in real time and transmitted by a wireless data link to a PC. Data can be viewed in real time and are typically post-processed following the field event in the office. Rating curves are extended to high stream stages not measured using site-specific survey information and the Chézy–Manning formula (Linsley et al., 1982). The Chézy–Manning formula is an empirical formula for open channel flow, or flow driven by gravity, as follows:


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Q = (1.486/n)AR2/3

S1/2

where: Q = flow n = Manning Roughness coefficient A = cross-sectional area R = hydraulic radius S = hydraulic slope

The hydraulic radius is derived as follows:

R = A/P where:

A = cross-sectional area of flow (ft2) P = wetted perimeter (ft)

The Chézy–Manning formula was developed for conditions of uniform flow in which the water surface profile and energy gradient are parallel to the streambed and the area, hydraulic radius, and depth remain constant throughout the reach. Field surveys of the channel geometry of each MLS will be conducted to compute the channel characteristics for each station. 2.2.1.2 Channel Surveys

Channel surveys will be conducted at each station to gather basic hydraulic measurements of the receiving water channels and to derive stream discharge using the Chézy–Manning formula. Channel surveys will be conducted using a DeWalt self-leveling rotary laser. The cross-section survey involves placing endpoints at the highest point of the channel on each bank. A measuring tape is stretched between the endpoints such that the zero end of the tape is attached to the endpoint on the left bank of the channel (looking downstream). Channel depth is measured across the channel from a stadia rod that is vertical and level from the channel bottom. The channel thalweg surveys are conducted for the reach upstream and downstream of the cross-section. The average channel slope is calculated from the survey data. Channel survey data are used with the Chézy–Manning formula to produce a rating curve for each sampling station. Each rating curve is calibrated using instantaneous flow measurements by adjusting the formula roughness coefficient. 2.2.1.3 United States Geological Survey Watersheds MLS and TWAS are co-located or within relative proximity to USGS flow monitoring stations where possible. The flow data at stations co-located with USGS stream gauging stations will be compared to USGS data. USGS flow monitoring gauges are located in the larger watersheds, specifically Santa Margarita, San Luis Rey, Los Peñasquitos Creek, San Diego River, and Tijuana River. The USGS gauging stations are used to estimate the annual flow volumes for the watersheds. Data from the USGS gauging stations will also be used to validate flow monitoring data collected at the MLS locations that use standard flow rating techniques in all watersheds.


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2.2.2 Water Quality Sampling This section discusses the sampling procedures and analytical methods for water quality sampling. All sampling and analyses conducted for MLS or TWAS will be in accordance with applicable United States Environmental Protection Agency (USEPA) regulations and guidance. 2.2.2.1 Dry Weather

The 2013-2014 monitoring season will include monitoring in the southern WMAs (Mission Bay WMA to Tijuana River WMA), and the 2014-2015 monitoring season will include monitoring in the northern WMAs (Santa Margarita River to Los Peñasquitos) and Chollas Creek. Each long-term monitoring station will be monitored during three dry weather events - once during September prior to the start of the wet weather season, once during the wet weather season, and once in May or June after the end of the wet weather season. The transitional receiving water monitoring stations will be monitored during two dry weather events - once in September and once in May or June. In the event that dry weather flow is not observed at a station during the September monitoring event prior to the start of the wet weather season, the first dry weather sampling event will occur during non-storm events (e.g., more than 72 hours after a storm event) if dry weather flow is observed during the wet weather season. 2.2.2.2 Wet Weather

The 2013-2014 monitoring season will include monitoring in the southern WMAs (Mission Bay WMA to Tijuana River WMA), and the 2014-2015 monitoring season will include monitoring in the northern WMAs (Santa Margarita River to Los Peñasquitos) and Chollas Creek. Each long-term station will be monitored during three wet weather events - during the first viable rainfall event of the wet weather season on or after October 1, during one event at least 30 days after the first rainfall event, and during one rainfall event after February 1. The transitional receiving water monitoring stations will be monitored during two wet weather events - once during the first viable rainfall event of the wet weather season on or after October 1 and once after February 1. Storm events will be considered viable for mobilization if they are predicted to produce at least 0.10 inch of rainfall in the drainage area with at least a 70% chance of rainfall. Each storm of at least 0.1 inch of rainfall must be separated by a minimum of 72 hours, and the forecasted storm volume within + 50% of the average storm volume and duration for the region. These mobilization criteria must be met at least 24 hours prior to the anticipated onset of rainfall. For the purposes of these criteria, storm forecasts will be obtained from the National Weather Service website (http://www.wrh.noaa.gov/sgx/). For each monitoring event, a narrative description of the station, which includes the location, date, and duration of the storm event(s) sampled; rainfall estimates of the storm event; and the duration between the storm event sampled and the end of the previous measurable (greater than 0.1 inch rainfall) storm event, will be recorded.


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2.2.2.3 Grab Samples

Grab samples will be collected for those constituents that are not amenable to composite sampling. The constituents listed below are collected as grab samples in accordance with the methods provided in Attachment A and the associated benchmarks are provided in Attachment B: Temperature Hydrogen ion concentration (pH) Specific conductance Dissolved oxygen (DO) Turbidity

Oil and grease Biochemical oxygen demand (BOD) Total coliform Fecal coliform Enterococcus

Samples will be collected from the horizontal and vertical center of the channel if possible and kept clear from uncharacteristic floating debris. Because oil and grease and other petroleum hydrocarbons tend to float, oil and grease grab samples will be collected at the air–water interface. Microbiology samples will be collected using sterile techniques. Nitrile or latex type gloves will be worn during sample handling. During the sample event, a 100-milliliter (mL) sterile bacteria bottle will be used to collect the sample directly from the receiving water. Care will be employed to not allow contact with area structures or the bottom sediments. The container will be opened only for the needed time to collect the sample and will be closed immediately following sample collection. If it is suspected that the container was compromised at any time, the sample container will be discarded, and a new sample will be collected with a new sample bottle. The sample must be filled only to the 100-mL mark on the sample bottle (no over topped or under filled).

Field measurements will be performed for pH, specific conductance, temperature, dissolved oxygen, and turbidity using an YSI 6600 series water quality probe or similar device. Calibration of the instruments will be conducted prior to each sampling event according to the manufacturer’s specifications and calibrated following each sampling event. Calibration records will be kept on file. A field observation data sheet will be completed for each sample collected to be representative of station conditions. Field observations include trash assessments, which will be performed at each station in accordance with the Monitoring Workplan for the Assessment of Trash in San Diego County (SDCRC, 2007a). 2.2.2.4 Composite Samples

A single flow-weighted composite sample will be collected at each station during the dry weather and wet weather monitoring events. During the monitoring event, sample aliquots will be collected in proportion to the rate of flow (i.e., flow-weighted) using automated equipment and Teflon-lined tubing. Dry weather flow-weighted composite samples will be collected over a typical 24-hour period, with a minimum of three sample aliquots collected per hour. Wet weather flow-weighted composite samples will be collected by taking sample aliquots across the hydrograph of the storm event. Based on the anticipated size of the storm, a flow-proportioned pacing will be programmed into the automated sampling equipment. The first sample aliquot


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will be taken at or shortly after the time that stormwater runoff begins, and each subsequent aliquot of equal volume will be collected every time the pre-selected flow volume (flow-proportional pacing) discharges past the monitoring station. Some variation may occur depending on actual storm intensity and duration. Flow-weighted water samples will be collected in pre-cleaned 20-liter (L) borosilicate graduated glass bottles. Sample bottles will be properly labeled with sample ID, date, and time; sealed with a pre-cleaned rubber stopper; and preserved on ice for transport to WESTON for sample compositing. Approximately 19 L of sample water will be contained in a “full” bottle. If flow rate sampling adjustments are made during a sampling event, the volume of sample to be used in sample compositing will differ among the various bottles from a given station to ensure the final composite sample is properly flow-weighted. To ensure a representative sample is used, samples should be agitated and mixed prior to pouring out any liquid. A 1000-mL glass graduated cylinder will be used to measure any sample volume that will be composited if it is less than the full amount contained within a 19-L sample bottle. The mixing will be done between transfers of liquid. Samples will be agitated continuously using a pre-cleaned glass stir bar as they are poured into the large pre-cleaned Nalgene containers. After all of the samples from a specific station have been added to the compositing container, subsampling may begin. Subsamples for chemical analyses will be poured into glass containers with Teflon® lids. The flow-weighted composite samples will be analyzed for all the constituents not identified for grab sampling. The complete list of constituents for each watershed management area for dry weather and wet weather is provided in Attachment A and the associated benchmarks are provided in Attachment B. 2.2.3 Sample Analysis Samples will be analyzed for the bacteria, chemistry, toxicity, and general field parameters provided in Attachment A. Attachment A includes the methods, volumes required, holding times, and target reporting limits for each constituent. The corresponding benchmarks are provided in Attachment B. Chemical, toxicity, and bacterial analysis of samples will be performed by a laboratory certified for the appropriate fields of testing by the California Environmental Laboratory Accreditation Program (ELAP). The laboratory(s) will also be a participant in the SMC Intercalibration Program. General physical and chemical constituents will be analyzed by accredited laboratories, with the exception of field-measured constituents (i.e., pH, specific conductance, temperature, turbidity, and dissolved oxygen). Field measurements will be taken by WESTON’s field scientists during sampling activities using an YSI 6600 series water quality probe or similar type device. 2.2.4 Quality Assurance/Quality Control Quality assurance (QA) and quality control (QC) for sampling processes will include proper collection of the samples to minimize the possibility of contamination. All samples will be collected in laboratory-supplied, laboratory-certified, contaminant-free sample bottles. Field staff will wear powder-free nitrile or similar gloves at all times during sample collection.


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QC samples will be taken to ensure that valid data are collected. Depending on the parameter, QC samples will consist of blanks and duplicate samples to remain compliant with Surface Water Ambient Monitoring Program (SWAMP) protocols. QC requirements will be reviewed and discussed with the appropriate staff to verify the proper working order of equipment, to refresh monitoring personnel in monitoring techniques, and to determine whether the data quality objectives are being met. The QA objectives for analyses conducted by the participating analytical laboratories are detailed in their Laboratory QA Manuals. The objectives for accuracy and precision involve all aspects of the testing process, including the following: Methods and standard operating procedures (SOPs). Calibration methods and frequency. Data analysis, validation, and reporting. Internal QC. Preventive maintenance. Procedures to ensure data accuracy and completeness.

The results of the laboratory QC analyses will be reported with the final data. Any QC samples that fail to meet the specified QC criteria in the methodology will be identified, and the corresponding data will be appropriately qualified in the final report. All QA/QC records for the various testing programs will be kept on file for review by regulatory agency personnel. 2.2.4.1 Training and Certification

All field personnel will have current and relevant experience in all aspects of standard field monitoring, including use of relevant field equipment such as field instruments and monitoring equipment. Field personnel will be trained and have experience in the collection, handling/storage, and chain-of-custody procedures. Proper field sampling and sample-handling techniques will be reviewed prior to sampling, and only those staff with proficiency will be permitted to conduct the field work. Training will be documented in the health and safety plan of each member of the field team. All personnel are responsible for complying with the QA/QC requirements that pertain to their organizational/technical function. Each technical staff member must have a combination of experience and education to adequately demonstrate a specific knowledge of their particular function and a general knowledge of laboratory operations, test methods, QA/QC procedures, and records management. 2.2.4.2 Sample Handling and Processing

In accordance with USEPA sampling protocols and this work plan, all samples collected will be stored in the appropriate container type along with appropriate preservative (if required) for the analytical method(s) being performed. All samples will be collected in laboratory-supplied, laboratory-certified, contaminant-free sample bottles. Additionally, the samples will be stored chilled in ice chests for transfer to the analytical laboratories and for transport between laboratories. Chain of custody (COC) forms will be completed for each sample and will accompany the samples to the laboratories and between laboratories at all times.


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The volume requirements and holding time requirements for each analytical measurement (Attachment A) are based on the recommendations in the Standard Methods for the Examination of Water and Wastewater (American Public Health Association (APHA), 2005) and in the USEPA methods. The stormwater samples will be transported from the field to the laboratory under WESTON COC procedures. Samples moved between laboratories will be transported under those laboratories’ COC procedures. Samples not processed at WESTON’s laboratories will be submitted by WESTON to the appropriate laboratories. 2.2.4.3 Chain of Custody Procedures

Samples will be considered to be in custody if they are (1) in the custodian’s possession or view, (2) retained in a secured place (under lock) with restricted access, or (3) placed in a container and secured with an official seal such that the sample could not be reached without breaking the seal. The principal documents used to identify samples and to document possession will be COC records, field logbooks, and field tracking forms. COC procedures will be used for samples throughout the collection, transport, and analytical process. COC procedures will be initiated during sample collection. A COC record will be provided with each sample or group of samples. Each person who will have custody of the samples will sign the form and ensure the samples will not be left unattended unless properly secured. Documentation of sample handling and custody includes the following: Sample identifier. Sample collection date and time. Any special notations on sample characteristics or analysis. Initials of the person collecting the sample. Date the sample was sent to the analytical laboratory. Shipping company and waybill information.

Completed COC forms will be placed in a plastic envelope and kept inside the cooler containing the samples. Once delivered to the analytical laboratory, the COC form will be signed by the person receiving the samples. The condition of the samples will be noted and recorded by the receiver. COC records will be included in the final reports prepared by the analytical laboratories and are considered an integral part of the report. 2.2.4.4 Field Quality Control

For all conventional water quality analyses except field measurements performed on grab samples, field blanks and field duplicates will be analyzed in accordance with SWAMP guidelines. For toxicity testing, only field duplicates will be collected. The use of controls and reference toxicant testing are QA/QC measures that have been put in place to identify changes in test organism sensitivity due to stress or other factors. 2.2.4.5 Equipment Calibration

All instruments used for field and laboratory analyses will be calibrated in accordance with manufacturer’s specifications. Calibration of the flow monitoring and sampling equipment will be conducted immediately prior to deployment or use and will be field verified during each data


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download or sample event. The calibrations will be conducted in accordance with the manufacturer’s specifications. Field measurements for pH, specific conductance, dissolved oxygen, turbidity, and temperature will be made using an YSI 6600 series water quality probe or similar probe according to the manufacturer’s specifications. The YSI 6600 series water quality probe will be calibrated with calibration solutions, and it will be verified that the expiration date has not been exceeded. 2.2.4.6 Equipment Decontamination and Cleaning

QA/QC for sampling processes begins with proper collection of the samples to minimize the possibility of contamination. All water samples will be collected in laboratory-certified, contaminant-free bottles. Appropriate sample containers and field measurement and sampling gear will be transported to the sample location in clean storage containers. Field measurements will be taken and recorded using the appropriate decontaminated equipment. If sampling poles are used for collecting water samples, they will be decontaminated between sampling locations. 2.3 Post-Storm Sediment Pyrethroid Monitoring Synthetic pyrethroid monitoring will be conducted in compliance with Section II.A.7 of the 2007 Permit and in accordance with the Monitoring Workplan for the Assessment of Synthetic Pyrethroids in San Diego County (SDCRC, 2007b). The pyrethroid monitoring program focuses on sediment and water column assessments to evaluate the presence and potential effects of pyrethroids in urban waterways within the San Diego region. Post-storm sediment samples will be collected from the MLS and TWAS locations within 2 weeks following the first-flush rainfall event of the wet weather season. 2.4 Toxicity Identification Evaluations Toxicity identification evaluations (TIEs) will be conducted in compliance with Section II.A.4 of the 2007 Permit and used to determine the causative agent(s) of toxicity. The Copermittees have budgeted for three Phase I TIEs in the event significant and persistent toxicity is observed (as defined by the 2007 Permit) at an MLS or TWAS location during more than one event for the same species during the monitoring season. TIEs will be conducted according to the guidelines for characterizing chronically toxic effluents (USEPA, 1991; USEPA, 1992; USEPA, 1993a; USEPA, 1993b). Phase I TIE testing involves manipulating the sample(s) by the methods presented in Table 2-3. Treatment blanks will be created for each TIE treatment to determine the effects of the manipulation on laboratory dilution water. The results of these blanks will be used to determine whether any changes in toxicity of the control (dilution water) are impacted by the chemical or physical manipulation of the sample. A baseline test, run concurrently with the TIE treatments, will be performed to assess the toxicity of the unmanipulated sample(s). Baseline tests are intended to confirm the presence of toxicity in the sample and to benchmark the toxicity for comparison to toxicity in TIE treatments.


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Table 2-3. Phase I TIE Manipulations

Physical and Chemical Manipulations (Tests) on Water Samples Purpose of Test

Filtration Detects filterable compounds (e.g., total suspended solids (TSS) related)

Aeration Detects volatile, oxidizable, sublatable, or spargeable compounds

Ethylenediaminetetraacetic acid (EDTA) addition Detects cationic metals (e.g., cadmium)

Sodium thiosulfate (STS) addition Detects oxidative compounds (e.g., chlorine)

Solid phase extraction (SPE) over C18 column, followed by methanol elution Detects non-polar organics and some surfactants

Piperonyl butoxide (PBO) addition Detects organophosphate pesticides and pyrethroids

Carboxyl esterase addition Detects pyrethroids

Bovine serum albumin (BSA) addition Protein BSA is used as a control for the carboxyl esterase

Temperature reduction Increases toxicity of pyrethroid pesticides

pH reduction Detects pH-dependent toxicants (e.g., ammonia or sulfides)

2.5 Dry Weather Receiving Water Bioassessment Monitoring Dry weather receiving water bioassessment monitoring will be conducted in accordance with the 2013 Permit (D.1.a.(1), D.1.a.(3)(a), D.1.c.(5), and D.1.e.(1)(a)). Dry weather receiving water bioassessment monitoring will include the following monitoring activities: bioassessment at the transitional receiving water monitoring locations in accordance with the 2013 Permit (D.1.a.(1)), bioassessment at each long-term receiving water monitoring location, and participation in the SMC Regional Monitoring Program. Bioassessment surveys will be conducted during the spring/summer dry season bioassessment index period, typically from May through July. Benthic macroinvertebrates (BMIs) and physical habitat data will be collected following the SWAMP Bioassessment Procedures: Standard Operating Procedures for Collecting Benthic Macroinvertebrate Samples and Associated Physical and Chemical Data for Ambient Bioassessments in California (Ode, 2007) using the reach-wide benthos method. Benthic algae (i.e., periphyton) monitoring will be conducted in accordance with the SWAMP Standard Operating Procedures for Collecting Stream Algae Samples and Associated Physical Habitat and Chemical Data for Ambient Bioassessments in California (Fetscher et al., 2009). Samples will be collected and processed for ash-free dry mass (AFDM), chlorophyll-a analysis, and periphyton taxonomy. Reach-wide algal cover will be quantified as part of the SWAMP physical habitat assessment. Physical habitat quality of the monitoring stations will be quantified using the California Rapid Assessment Method (CRAM) for riverine wetlands (Collins et al., 2012).


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The SWAMP sampling protocol includes the collection of stream BMI and also assesses the physical quality and condition of the streambed and banks in detail. (Note: A physical habitat index based on the SWAMP procedure has not been developed at the time of this report). CRAM assessments incorporate broader buffer zone and land use attributes than SWAMP, and also provide a numerical quality score for each station. BMIs reside in streams for periods ranging from a month to several years, and have varying sensitivities to the multiple stressors associated with urban runoff. Using species specific tolerance values and community species composition, numerical biometric indices are calculated, allowing for comparison of relative habitat health among streams in a region. By assessing the invertebrate community structure of a stream, a cumulative measure of stream habitat health and ecological response is obtained. The data include a taxonomic listing of all BMIs identified in the surveys, and calculation of the biological metrics listed in the California Stream Bioassessment Procedure (CSBP). Additionally, calculation of two indices that rate the overall BMI community quality will be performed. These include the Index of Biotic Integrity (IBI) (Ode et al., 2005) and the California Stream Condition Index (CSCI; Mazor et al., in press). The CSCI is a newly developed analytical tool intended to become the primary BMI community quality index. the observed to expected (O/E) ratio of taxa (Hawkins, Western Center for Monitoring and Assessment, 2010). 2.5.1 2014 SMC Regional Monitoring Program Participation in the SMC Regional Monitoring Program will be conducted following the protocols developed by the SMC Bioassessment Technical Workgroup. The probabilistic survey design implemented from 2009 through 2013 following the methods included in the Regional Monitoring of Southern California’s Coastal Watersheds Workplan (Southern California Coastal Water Research Project (SCCWRP), 2007) will be suspended in 2014. The 2014 SMC Regional Monitoring Program will include two special studies and will be conducted in accordance with the interim Regional Watershed Monitoring Program – Proposal for 2014 Sampling (SCCWRP, 2013) and the Southern California Regional Watershed Monitoring Program, Bioassessment Quality Assurance Project Plan (SCCWRP, 2009). The two special studies will include a nonperennial stream study with the goal of validating and refining the assessment tools for use in nonperennial streams, and a trend site study with the goal of detecting change in condition over time at probabilistic stations. The nonperennial stream study will focus on locations in a reference condition; i.e., streams that flow through the wet season and dry out during the bioassessment index period. Ideally, multiple visits will be made through the drying period to quantify how the BMI and algae communities change through this period. Because of the unpredictability of the pace of stream drying, sampling will begin earlier than the usual bioassessment index period, preferably in early April. Site selection will be at the discretion of the monitoring agencies with collaboration with and confirmation by the SMC Program Manager at SCCWRP. Toxicity testing will not be performed at the nonperennial stations, and samples will be analyzed for a limited number of chemicals. The trend site study will focus on resampling probabilistic stations that were sampled early in the SMC Regional Monitoring Program. Site selection will emphasize capturing a range of conditions; however, channels that are fully concrete lined will be excluded from the study. Stations will be revisited, and samples will be analyzed for the full set of analytes used during the first 5 years of the SMC Regional Monitoring Program.


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2.5.2 2015 SMC Regional Monitoring Program In 2015, monitoring for the first of five years under the updated SMC Regional Monitoring Program (SCCWRP, 2015) will be conducted. Several modifications were made to the previous surveys to address data gaps. Specifically, monitoring of high-priority stressors (i.e., habitat, nutrients, and ionic composition) will be continued, whereas monitoring of low-priority stressors (i.e., water column metals, pyrethroids, and toxicity) will be discontinued. Flow regime (hydrologic state checklist derived from Gallart et al. (2010) and water level loggers), vertebrate occurrence, and new stressors of interest (i.e., sediment pyrethroids and toxicity) were added to the list of monitored parameters. However, sediment sampling has been deferred until further action by the SMC Executive Committee. In addition, the physical habitat assessment has been enhanced with hydromodification screening (modified from Bledsoe et al., 2010) at unarmored or partially armored condition sites and a channel engineering checklist at all condition sites. The hydromodification screening and channel engineering checklist will also be assessed at trend sites at least once during the five-year study. Probabilistic sites originally sampled under the 2009-2013 SMC Workplan will be resampled as Trend sites under the 2015-2019 SMC Workplan. These Trend sites will continue to be monitored annually through 2019 with the intent of assessing increasing and decreasing trends associated with the BMI and algae communities. 2.5.3 Monitoring Reaches The dry weather bioassessment receiving water monitoring reaches are located at the transitional MLS and TWAS monitoring stations (Table 2-1 and Table 2-2), long-term receiving water monitoring locations (Table 2-1 and Table 2-2), reference stations for the bioassessment receiving water monitoring (Table 2-4 and Table 2-5), and SMC 2014 Research Plan monitoring locations (Table 2-6 and Table 2-7). For the SMC Regional Monitoring Program, the original station locations were selected in a stratified random approach by the SMC Program Manager at SCCWRP.

Table 2-4. Reference Stations for 2014 Receiving Water Bioassessment Monitoring

Stream Reference Station Identifier Latitude Longitude

Cottonwood Creek REF-CWC 32.66102 -117.03916

Kitchen Creek REF-KC2 32.87181 -116.61358

Boulder Creek REF-BC 32.96672 -116.653777

Table 2-5. Reference Stations for 2015 Receiving Water Bioassessment Monitoring

Stream Reference Station Identifier Latitude Longitude

Pauma Creek REF-PC-2 33.3388 -116.96961

Santa Ysabel Creek REF-SYC 33.12899 -116.67020

Black Canyon Creek REF-BCC 33.13076 -116.79597


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Table 2-6. SMC Regional Monitoring Program Monitoring Locations for 2014

SMC Region Stream Station Identifier Latitude Longitude

Nonperennial Locations Northern San Diego French Creek 903FRC 33.35652 -116.91283 Central San Diego Black Canyon Creek 905BCC 33.13086 -116.79575

Mission Bay San Diego Unnamed Tributary to Boulder Creek 907BCT 32.96654 -116.65211

Southern San Diego La Posta Creek 911LAP 32.70021 -116.48152 Trend Locations Northern San Diego Key's Creek SMC01909 33.31129 -117.13885 Northern San Diego Santa Margarita SMC04661 33.23370 -117.09392 Central San Diego Buena Creek SMC01049 33.17601 -117.20488 Central San Diego Los Peñasquitos Creek SMC00198 32.93710 -117.13851 Mission Bay San Diego Murphy Canyon Creek SMC01990 32.79654 -117.11327 Mission Bay San Diego San Diego River SMC08150 32.88438 -116.82289 Southern San Diego Sweetwater River SMC01962 32.66102 -117.03916 Southern San Diego Tijuana River SMC03510 32.87181 -116.61358

Table 2-7. SMC Regional Monitoring Program Monitoring Locations for 2015

SMC Region Stream Station Identifier Latitude Longitude

Condition Sites Northern San Diego Rainbow Creek 902M20161 33.41868 -117.14384 Northern San Diego Couser Canyon Creek 903M20153 33.31961 -117.10208 Northern San Diego Keys Creek Tributary 903M20124 33.29642 -117.08589 Central San Diego Escondido Creek 904M21713 33.11956 -117.09489 Central San Diego Agua Hedionda Tributary 904M21720 33.15671 -117.28263 Central San Diego Lusardi Creek 905M21721 33.00848 -117.16565 Mission Bay San Diego Tecolote Creek – N Fork 906M23302 32.81721 -117.20024 Mission Bay San Diego Rose Creek 906M23318 32.82478 -117.23043 Mission Bay San Diego Forester Tributary 907M23325 32.79865 -116.97077 Southern San Diego Campo Creek 911M24913 32.58971 -116.51582 Southern San Diego Wruck Canyon 911M24916 32.55005 -116.99547 Southern San Diego Telegraph Canyon 909M24923 32.63952 -116.98756 Trend Sites - Open Southern San Diego Sweetwater River 909WE0662 32.89939 -116.58826 Central San Diego Santa Ysabel Creek 905WE1018 33.12561 -116.68085 Trend Sites - Developed Northern San Diego De Luz Creek 902WE0888 33.45432 -117.30237 Central San Diego Escondido Creek 904WE1125 33.09904 -117.1296


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Historically, reference stations have been designated by the California Department of Fish and Game (CDFG) and the RWQCB based on upstream land use characteristics as determined by geographic information system (GIS) data sets. When selecting reference monitoring stations for comparison with urban affected stations, elevation is considered. Most of the reference stations are at elevations similar to the urban locations. The reference stations are often located in the upper erosional portion of the hydrologic units, whereas the test monitoring stations are generally in lower depositional areas. This difference may affect benthic community composition independent of water quality. Comparison of urban monitoring stations to reference stations will not be limited to the reference stations sampled in this program. The benthic community summary indices that provide community quality ratings already incorporate a broad range of historical reference stations throughout the region. For example, Ode et al. (2005) used 275 different reference stations to develop the IBI, and the scoring criteria were based on mean metric values for all of these stations. Reference stations monitored concurrently with the urban stations provide a direct temporal correlation that includes seasonal environmental variables (e.g., rainfall). 2.5.4 Monitoring Reach Delineation Using SWAMP methodology, every monitoring reach is 150 meters (m) in length and will be sampled from downstream to upstream. If a portion of a reach is inaccessible, the reach length may be reduced to as little as 100 m. The MLS and TWAS bioassessment reaches are placed as closely as possible to the water quality and flow monitoring locations. 2.5.5 Macroinvertebrate Sample Collection BMI samples will be collected at evenly spaced 15-m transects for a total of 11 transects in the 150-m reach. The samples will be collected in an alternating margin-center-margin pattern. Collections will be made using a 1-ft-wide, 0.5-millimeter (mm)-mesh, D-frame kick-net. A 1-ft2 area upstream of the net will be sampled by disrupting the substrate and scrubbing the cobble and boulders, so that the organisms will be dislodged and swept into the net by the current. The duration of the sampling generally ranges from 1 to 3 minutes, depending on the substrate complexity. Every monitoring station will be sampled from downstream to upstream. The samples will be combined into a single composite sample for the reach, transferred to 1-quart jars, preserved with 95% ethanol, and returned to WESTON’s laboratory for processing. Photographs will be taken of every monitoring station. 2.5.6 Multihabitat Periphyton Sample Collection Periphyton (benthic algae) will be collected using the reach-wide procedure and within the same transects used for BMI collection, but offset 1 m upstream to avoid disturbed substrate. Depending on the substrate type and the stream habitat, one of three sampling devices will be used to collect the substrate sample - a 12.6 square centimeter (cm2) rubber delimiter, a 4-cm diameter polyvinyl chloride (PVC) delimiter, or a syringe scrubber. After all transects are sampled, the subsamples will be composited. The macroalgae will be gathered and separated from the composited liquid. A subsample of the macroalgae will be taken for the soft-bodied taxonomic identification sample. The composite liquid volume will be recorded, and the remaining macroalgae will be finely cut up and thoroughly mixed with the composite liquid. The


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homogenized sample will be used for the diatom taxonomic identification sample, as well as the two filtered biomass samples. The diatom and soft-bodied algae samples will be fixed accordingly before being delivered to the laboratory for taxonomic identification. Taxonomic identification will be performed by a qualified taxonomist. The remaining homogenized portion of the composite will be filtered in the field, and the filters will be placed on ice and/or frozen until delivery to the chemistry laboratory for chlorophyll-a and ash-free dry mass analysis. A separate soft-bodied algae sample will be taken for qualitative taxonomic identification. The qualitative sample consists of a composite of all soft-bodied algae found within the reach. The sample will be left unpreserved and put on ice or refrigerated until delivery to the laboratory for taxonomic identification. Qualitative taxonomic identifications will be performed by a qualified taxonomist for the receiving water and SMC monitoring stations. 2.5.7 Physical Habitat Quality Assessment For each monitoring reach sampled, the physical habitat of the stream and its adjacent banks will be assessed to provide a record of the overall physical condition of the reach. Parameters such as substrate complexity, channel alteration and human influence, frequency of riffles, and width and quality of riparian zones will provide a more comprehensive understanding of the condition of the stream. Additionally, specific characteristics of the sampled riffles will be measured, including substrate size classes, stream depth, gradient, sinuosity, and flow volume. CRAM assessments of each monitoring station also will be performed. This method assesses the quality of the in-stream habitat features as well as the buffer zones (250 m perpendicular to flow from each bank and 500 m upstream and downstream of the monitoring reach), hydrologic source quality, and biotic structure quality. A final CRAM score will be calculated that can range from 25 to 100 points, with the higher scores indicating higher quality conditions. Water quality measurements will be taken at each of the monitoring stations using a YSI Model 6600 (or comparable) data sonde. Measurements will include water temperature, specific conductance, pH, and dissolved oxygen. Samples will be collected for laboratory analysis following the protocols outlined in the SMC Regional Monitoring Program Workplan. Stream flow velocity will be measured with a Marsh-McBirney Model 2000 (or comparable) portable flowmeter, or will be visually estimated when the water is too shallow for the flowmeter. 2.5.8 Laboratory Processing and Analysis Laboratory processing of BMI samples will follow the SWAMP Bioassessment Procedures: Standard Operating Procedures for Laboratory Processing and Identification of Benthic Macroinvertebrates in California (Woodward et al., 2012). At the laboratory, samples are poured over a No. 35 standard testing sieve (0.5-mm stainless-steel mesh), and the ethanol is retained for reuse. The sample is gently rinsed with fresh water, and large debris such as wood, leaves, or rocks are removed. The sample is transferred to a tray marked with grids approximately 50 cm2 in size. One grid is randomly selected, and the sample material contained within that grid is removed and processed. In cases where the test organisms appear extremely abundant, a fraction of the grid may be removed. The material from the grid is examined under a stereomicroscope; and all the invertebrates are removed, sorted into major taxonomic groups, and placed in vials containing 70% ethanol. If


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there are less than 600 test organisms in the grid, another grid is selected and processed. This process is repeated until 600 organisms are removed from the sample, or until the entire sample is sorted. Organisms from a grid in excess of 600 are also removed, counted, and recorded as “remaining test organisms,” so that estimated total organism abundance and density for the sample can be calculated. Terrestrial organisms, vertebrates, water-column associated organisms (e.g., copepods), and nematodes are not removed from the samples. Processed material from the sample is placed in a separate jar and labeled “sorted,” and the unprocessed material is returned to the original sample container and archived. Sorted material is retained for QA purposes. All organisms are identified to Southwest Association of Freshwater Invertebrate Taxonomists (SAFIT) standard taxonomic effort Level II (SAFIT, 2006). 2.5.9 Quality Assurance / Quality Control QA/QC procedures for the Bioassessment Monitoring and SMC Program will be consistent with those outlined in Section 2.2.4. In addition, QA of the benthic infauna sample sorting will be performed on all of the samples to ensure at least a 90% removal rate of organisms. Organisms removed during sorting QA also will be identified. Taxonomic QA will be performed on 10% of the samples. 2.6 Dry Weather Hydromodification Monitoring This section describes the sampling and data collection methods for the dry weather receiving water hydromodification monitoring requirements as outlined in Provision D.1.c.(6) of the 2013 Permit as presented below: (6) Dry Weather Receiving Water Hydromodification Monitoring In addition to the hydromodification monitoring conducted as part of the Copermittees’ Hydromodification Management Plans, hydromodification monitoring for each long-term receiving water monitoring station is required at least once during the term of this Order. The Copermittees must collect the following hydromodification monitoring observations and measurements within an appropriate domain of analysis during at least one dry weather monitoring event for each long-term receiving water monitoring station: (a) Channel conditions, including:

(i) Channel dimensions, (ii) Hydrologic and geomorphic conditions, and (iii) Presence and condition of vegetation and habitat;

(b) Location of discharge points; (c) Habitat integrity;


26

(d) Photo documentation of existing erosion and habitat impacts, with location (i.e. latitude and longitude coordinates) where photos were taken; (e) Measurement or estimate of dimensions of any existing channel bed or bank eroded areas, including length, width, and depth of any incisions; and (f) Known or suspected cause(s) of existing downstream erosion or habitat impact, including flow, soil, slope, and vegetation conditions, as well as upstream land uses and contributing new and existing development. Dry weather hydromodification monitoring is required at each long-term receiving water monitoring station. The monitoring will coincide with the spring receiving water dry weather monitoring event in May or June and the dry weather receiving water bioassessment monitoring. The domain of analysis at each long-term monitoring station for dry weather hydromodification monitoring will be within the same reach of the channel as dry weather bioassessment monitoring. Table 2-8 provides an outline of the hydromodification monitoring requirements and the methods for each assessment category. Detailed methods for each assessment category are described in the following sections.

Table 2-8. Hydromodification Monitoring Requirements

Assessment Requirement Category Method (a) Channel conditions, including:

(a)(i) Channel dimensions, Channel survey (cross-sectional and thalweg survey)

(a)(ii) Hydrologic and geomorphic conditions SCCWRP channel assessment tool

(a)(iii) Presence and condition of vegetation and habitat CRAM

(b) Location of discharge points Table of municipal separate storm sewer system (MS4) outfalls to stream segment

(c) Habitat integrity CRAM

(d) Photo documentation of existing erosion and habitat impacts, with location (i.e., latitude and longitude coordinates) where photos were taken

Channel survey and photo documentation

(e) Measurement or estimate of dimensions of any bed or bank eroded areas, including length, width, and depth of any incisions Channel survey

(f)

Known or suspected cause(s) of existing downstream erosion or habitat impact, including flow, soil, slope, and vegetation conditions, as well as upstream land uses and contributing new and existing development

GIS desktop analysis and SCCWRP channel assessment tool


27

2.6.1 Channel Dimensions Channel surveys will be conducted at each station to gather basic hydraulic measurements of the receiving water channels. Channel surveys will be conducted using a DeWalt self-leveling rotary laser. The cross-section survey involves placing endpoints at the highest point of the channel on each bank. A measuring tape will be stretched between the endpoints such that the zero end of the tape is attached to the endpoint on the left bank of the channel (looking downstream). Channel depth will be measured across the channel from a stadia rod that is vertical and level from the channel bottom. The channel thalweg surveys will be conducted for the reach upstream and downstream of the cross-section. The average channel slope will be calculated from the survey data. 2.6.2 Hydrologic and Geomorphic Conditions The geomorphic assessment will be conducted to characterize the susceptibility of the channel and gather basic hydraulic measurements of the receiving water channels. The geomorphic assessment is comprised of the channel survey and the SCCWRP channel assessment tool. The SCCWRP Field Manual (Bledsoe et al., 2010) will be used to assess the vertical and lateral susceptibility of the receiving water channels. The domain of analysis for each monitoring station is derived from the desk and field components of the screening tool and will be within reach of the channel used for dry weather bioassessment monitoring. A suite of field measurements will also be made to characterize the channel bed and banks, and overall stability state. Sediment samples will be collected to characterize bed materials. Fixed-interval pebble counts will be performed for each reach where the channel bed is comprised of gravel or coarser material (Bunte and Abt, 2001), and channel beds comprised of fine material will be noted as sand or cohesive materials (bed gradations are not required for channels with D50 < 2 mm). 2.6.3 Presence and Condition of Vegetation and Habitat Integrity The presence and condition of vegetation and habitat integrity will be determined from the data collected during dry weather bioassessment monitoring. For dry weather bioassessment monitoring, the sampling will follow the protocols previously outlined in Section 2.5. Physical habitat quality assessments of the monitoring stations using CRAM provide a numerical summary score of the physical conditions for each station. This method involves assessing the quality of the in-stream habitat features as well as the buffer zones (250 m perpendicular to flow from each bank and 500 m upstream and downstream of the monitoring reach), hydrologic source quality, and biotic structure quality. For each monitoring reach sampled, the physical habitat of the stream and its adjacent banks will be assessed to provide a record of the overall physical condition of the reach. Parameters such as substrate complexity, channel alteration and human influence, frequency of riffles, and width and quality of riparian zones will provide a more comprehensive understanding of the condition of the stream. Additionally, specific characteristics of the sampled riffles will be measured, including substrate size classes, stream depth, gradient, sinuosity, and flow volume. A final CRAM score will be calculated that can range from 25 to 100 points, with higher scores indicating higher quality conditions. CRAM ratings of good, fair, and poor are defined by the score (i.e., for the CRAM score range of 25-100, <50=low, 50-75=moderate, and >75=high).


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2.6.4 Photo Documentation A channel survey will be conducted and photographs will be used to document the conditions in the receiving water channels including any existing erosion and habitat impacts. Photographs will be taken using a digital camera with a built-in GPS, altimeter, and compass. Photo documentation will be conducted using the general procedures outlined in San Diego Water Board Stream Photo Documentation Procedures for 401 Water Quality Certifications Standard Operating Procedure. The following information will be recorded for each photograph: Project name General location Photographer and team members Photo number Date Time

At a minimum, photographs will be taken of the following:

Long view up or down the stream (from stream level) showing changes in the stream bank and vegetation

Long view and medium view of streambed changes (e.g., thalweg, gravel, meanders)

Long views from a bridge or other elevated position

Medium and close views of structures and plantings

Medium views of bars and banks, with a person (preferably holding a stadia rod) in view for scale

Close views of streambed with a ruler or other common object in the view for scale

2.6.5 Dimensions of Bed or Bank Eroded Areas Measurements or estimates of dimensions of any bed or bank eroded areas, including length, width, and depth of any incisions, will be conducted during the channel survey. Bed or bank eroded areas will be documented with photographs as described in the channel survey above. 2.6.6 Location of Discharge Points/Known or Suspected Causes of Erosion or

Habitat Impact Known or suspected cause(s) of existing downstream erosion or habitat impact, including flow, soil, slope, and vegetation conditions, as well as upstream land uses and contributing new and existing development, will be assessed during a GIS desktop exercise and the SCCWRP channel assessment tool.


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2.7 Statistical Methods This section describes the statistical methods used to assess watershed monitoring data. Statistical methods were limited to the analysis of long-term trends per constituent by watershed and the comparison of sample data to water quality benchmarks. 2.7.1 Trend Analysis Trend analysis was conducted for constituents measured at each MLS station using current and historical data. Water quality data possess distributional characteristics that generally require specialized approaches to trend testing. Water quality datasets can contain censored (less than) values, outliers, multiple detection limits, missing values, and serial correlation. These characteristics commonly present problems in the use of conventional parametric statistics based on normally distributed datasets. The presence of censored data, non-negative values, and outliers generally lead to a non-normal data distribution, which is common for many datasets. These skewed datasets require use of specific non-parametric statistical procedures for their analysis. Nonparametric statistical tests are more powerful when applied to non-normally distributed data, and almost as powerful as parametric tests when applied to normally distributed data (Helsel and Hirsch, 1992). The nonparametric Mann-Kendall test for linear trend was used to evaluate whether a constituent has increased or decreased significantly since the base year (Mann, 1945; Kendall, 1975). The test is non-parametric, rank order based, and insensitive to missing values. Sen’s slope estimator (Sen, 1968) was used to estimate the magnitude of change over time when a significant trend was observed. Sen's slope estimator is a non-parametric method that is insensitive to outliers and can be used to infer the magnitude of a trend in the data. The dataset contains constituent measurement with levels below the detection limit of the analytical method. These values were assigned the value of one-half the detection limit. Over time, several of the laboratory analytical techniques have lowered their limit of detection. An artifact of this advance is that the lower detection limit values of measurements later in the data record may be falsely detected as a downward trend. To avoid this, water quality values are censored to the one-half of highest detection limit of the analysis period as part of the data handling prior to analysis. Datasets with large numbers of values below detection limit (BDL) may create statistical problems for trend analyses. The Mann-Kendall test for trend adjusts variance estimates upward for ties in magnitude (Gilbert, 1990). Since BDL values in the raw dataset produce such ties, trend analyses of datasets with high percentages of BDLs will be based upon greater variances than those without BDLs. Thus, the power of the trend analyses for the datasets with BDLs are reduced compared to those without detection limits censoring. A simulation analysis on the effect of BDLs on Mann Kendall test and Sen slope estimator has provided standard guidelines for reporting trend statistics (Alden et al., 2000). These guidelines are widely accepted based on the percentage of BDLs present in the dataset (Ebersole et al., 2002). The simulation analysis found that the power of the Mann-Kendall test begins noticeably to decline when censoring exceeds 35%. However, if the Mann-Kendall test produces a


30

significant result when the level of censoring is between 35% and 50%, this result may be valid in spite of the loss of power. If the Mann-Kendall test fails to produce a significant result when censoring is in the 35–50% interval, this failure may have resulted from a loss of power. Also; the Sen slope estimator begins to exhibit noticeable bias when censoring exceeds 15%. At levels of censoring of 15% or less, both the Mann-Kendall test results and the Sen slope estimator were found to be reliable. The following guidelines were used to report trend information: If the percentage of BDL observations is 15 or less, report the trend test p-value,

direction, and magnitude of the trend (i.e., Sen Slope). If the percentage of BDL observations is greater than 15 and less than or equal to 35,

report the trend test p-value and direction only. Do not report the trend magnitude. If the percentage of BDL observations is greater than 35 and less than or equal to 50 and

the trend test p-value indicates a significant trend, report the trend test p-value and direction. Do not report the trend magnitude.

If the percentage of BDL observations is greater than 35 and less than or equal to 50 and the trend test p-value does not indicate a significant trend, report that there are too many observations below the detection limit to determine the presence or absence of trend.

If the percentage of BDL observations is greater than 50, report there are too many observations below the detection limit to determine the presence or absence of trend.

The current and historical data used in the trend analysis are shown in a series of scatterplots in the annual report. Scatterplots provide a visual comparison across all the years of data of collection. Scatterplots provide a visual representation of the relative concentrations of constituents between stations and storm events. Scatterplots are simple plots of concentrations of constituents plotted on the y-axis against time identified on the x-axis. Relevant trend information is reported with each scatterplot based on the guidelines described above. MLS not monitored during the 2009–2010 Monitoring Season (North County sites) are also included. Constituents were monitored at all MLS during three storms each year (with the exception of Santa Margarita River), prior to the 2007–2008 Monitoring Season. Starting during the 2007–2008 Monitoring Season, two storms were monitored at a subset of MLS located in Northern and Southern San Diego County on a rotational basis. In 2010-2011, two storms were monitored at the North County stations. All available data are included in scatterplots. 2.7.2 Constituent Comparisons Statistical analyses for watershed assessments also included the magnitude of the ratio of observed concentrations to the relevant benchmark. Results of this analysis are presented in the historic and annual monitoring tables. The assessment of the magnitude of benchmark ratios for key constituents was based on dividing a sites annual event and mean historical results by the benchmark. By comparing the annual event result ratio to the historical mean ratio, the user can assess whether a particular event exceedance was consistent with historical exceedances, or whether it appears as an anomalous one-time event.


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2.8 Discharge Volume Calculation and Flow Modeling for Loading Estimates

Pollutant loadings to each MLS and TWAS were calculated for each monitored event. A graphical representation, storm hydrograph, for each storm event was used to determine the length of wet weather runoff (typically to a point within 10% of the baseflow or after a clear recession and relatively steady, compared to hydrograph rise and fall, water level). Event volumes were calculated by summing the incremental flow values multiplied by the time elapsed between flows as follows:

For each monitored event the flow weighted EMC, based on the samples collected during the monitoring period, was calculated as follows:

The load for each event was then calculated by applying the EMC to the event volume as follows:

Similar to the method used to calculate event loads, pollutant loadings to each MLS and TWAS were calculated for annual wet weather runoff. The volume for each wet weather event, whether monitored or not, was determine as discussed above. The annual wet weather volume was computed by summing all of the wet weather event volumes. The average of the above-mentioned wet weather event mean concentrations (EMCs) for each station was applied to the annual wet weather volume for each station to estimate the annual pollutant loading. For calculations of loads for the period predating the current monitoring program, long-term flow volumes to calculate annual loadings to each MLS were calculated using available USGS flow monitoring data for watersheds that contain gauging stations. For watersheds that do not contain USGS flow monitoring gauges, Weston estimated the annual surface water volumes to each MLS and TWAS using a hydrologic computer model. The USACE HEC-HMS hydrologic model was originally proposed to simulate the watersheds. However, due to long run times and computational processing limitations for a year-long simulation of large watersheds lead to the selection of the USEPA Stormwater Management Model (SWMM) version 5.0.013. In addition to faster processing times, the SWMM model has water quality simulation capabilities that can be used in future efforts to evaluate pollutant sources based on land use and evaluate the impact of proposed best management practices (BMPs).


32

3.0 ASSESSMENT AND REPORTING The Transitional Monitoring and Assessment Annual Report, which will be submitted to the San Diego RWQCB on January 31, 2015, will include a description of the 2013-2014 transitional receiving water monitoring implemented during the 2013–2014 monitoring season. The Transitional Monitoring and Assessment Annual Report, which will be submitted to the San Diego RWQCB on January 31, 2016, will include a description of the 2014-2015 transitional receiving water monitoring implemented during the 2014–2015 monitoring season.


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4.0 REFERENCES Alden, R., E. Perry, and M. Lane. 2000. A Comparison of Analytical Techniques for

Determining Trends in Chesapeake Bay Water Quality Monitoring Program Data. AMRL Technical Report #3114. Applied Marine Research Laboratory, Norfolk, VA.

APHA (American Public Health Association), AWWA (American Water Works Association), and WEF (Water Environment Federation). 2005. Standard Methods for the Examination of Water and Wastewater, 21st Edition.

Bledsoe, B.P., R. J. Hawley, E. D. Stein, and D.B. Booth. 2010. Hydromodification Screening Tools: Field Manual for Assessing Channel Susceptibility. ftp://ftp.sccwrp.org/pub/download/DOCUMENTS/TechnicalReports/606_HydromodScreeningTools_FieldManual.pdf

Bunte, Kirstin and Steven R. Abt. 2001. Sampling surface and subsurface particle-size distributions in wadable gravel-and cobble-bed streams for analyses in sediment transport, hydraulics, and streambed monitoring. http://www.treesearch.fs.fed.us/pubs/4580

Collins, J.N., E.D. Stein, M. Sutula, R. Clark, A.E. Fetscher, L. Grenier, C. Grosso, and A. Wiskind. March 2012. California Rapid Assessment Method (CRAM) for Wetlands, v.6.0. 157 pp. Available at: http://www.cramwetlands.org/documents/

Ebersole, E., Lane, M., Olson, M., Perry, E. and B. Romano. 2002. Assumptions and Procedures for Calculating Water Quality Status and Trends – A Cumulative History. Maryland Department of Natural Resources, Annapolis, MD.

Fetscher, A., L. Busse, and P. Ode. 2009. Standard Operating Procedures for Collecting Stream Algae Samples and Associated Physical Habitat and Chemistry Data for Ambient Bioassessments in California.

Gilbert, R.O. 1990. Statistical Methods for Environmental Pollution Monitoring. John Wiley & Sons, Inc. New York.

Hawkins, Charles P. 2010. Western Center for Monitoring and Assessment. Accessed at: http://129.123.10.240/wmcportal/DesktopDefault.aspx

Helsel, D.R. and R.M. Hirsch. 1992. Statistical Methods in Water Resources. Elsevier Publishers, Amsterdam.

Kendall, M. 1975. Rank Correlation Methods, 4th Edition. Charles Griffin, London.

Linsley, R., M. Kohler, and J. Paulhus. 1982. Hydrology for Engineers, 3rd Edition. McGraw-Hill Publishing, New York, NY.

Mann, H.B. 1945. Non-Parametric tests against trend, Econometrica 13:245-259.

ftp://ftp.sccwrp.org/pub/download/DOCUMENTS/TechnicalReports/606_HydromodScreeningTools_FieldManual.pdf

ftp://ftp.sccwrp.org/pub/download/DOCUMENTS/TechnicalReports/606_HydromodScreeningTools_FieldManual.pdf

http://www.treesearch.fs.fed.us/pubs/4580

http://www.cramwetlands.org/documents/

http://129.123.10.240/wmcportal/DesktopDefault.aspx


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Mazor, R.D., A. Rehn, P. R. Ode, M. Engeln, K. Schiff, E. Stein, D. Gillett, D. Herbst, C.P. Hawkins. (in press). Bioassessment in complex environments: Designing an index for consistent meaning in different settings. Submitted to Freshwater Science.

Oberg, K.A., S.E. Morlock, and W.S. Caldwell. 2005. Quality-Assurance Plan for Discharge Measurements Using Acoustic Doppler Current Profilers. U.S. Geological Survey.\ Scientific Investigations Report 2005-5183.

Ode, P., A. Rehn, and J. May. 2005. A Quantitative Tool for Assessing the Integrity of Southern Coastal California Streams. Environmental Management, 35:493-504.

Ode, P.R. 2007. Standard Operating Procedures for Collecting Benthic Macroinvertebrate Samples and Associated Physical and Chemical Data for Ambient Bioassessments in California. California State Water Resources Control Board Surface Water Ambient Monitoring Program (SWAMP) Bioassessment SOP 001. Available at: http://www.waterboards.ca.gov/water_issues/programs/swamp/docs/swamp_sop_bio.pdf http://www.swrcb.ca.gov/swamp/docs/phab_sopr6.pdf

Rantz, S. 1982. Measurement and Computation of Streamflow, Volume 1, Measurement of Stage and Discharge. United States Geologic Survey Water Supply Paper 2175.

RWQCB (Regional Water Quality Control Board). 2007. California Regional Water Quality Control Board San Diego Region, Order No. R9-2007-0001, NPDES No. CAS0108758, Waste Discharge Requirements for Discharges of Urban Runoff from the Municipal Separate Storm Sewer Systems (MS4s) Draining the Watersheds of the County of San Diego, the Incorporated Cities of San Diego County, The San Diego Unified Port District, and the San Diego County Regional Airport Authority. January 2007.

RWQCB (Regional Water Quality Control Board). 2013. California Regional Water Quality Control Board San Diego Region, Order No. R9-2013-0001, NPDES No. CAS0109266, National Pollutant Discharge Elimination System (NPDES) Permit and Waste Discharge Requirements for Discharges from the Municipal Separate Storm Sewer Systems (MS4s) Draining the Watersheds Within the San Diego Region. May 2013.

SAFIT (Southwestern Association of Freshwater Invertebrate Taxonomists). 2006. Southwestern Association of Freshwater Invertebrate Taxonomists List of Macroinvertebrate Taxa from California and Adjacent States and Ecoregions; and Standard Taxonomic Effort.

SCCWRP (Southern California Coastal Water Research Project). 2007. Regional Monitoring of Southern California’s Coastal Watersheds Workplan. Stormwater Monitoring Coalition Bioassessment Working Group, Technical Report 539. December 2007.

SCCWRP (Southern California Coastal Water Research Project). 2009. Southern California Regional Watershed Monitoring Program, Bioassessment Quality Assurance Project Plan.

SCCWRP (Southern California Coastal Water Research Project). 2013. Regional Watershed Monitoring Program – Proposal for 2014 Sampling. Distributed to the Stormwater Monitoring Coalition Bioassessment Technical Workgroup, December 9, 2013. Point of Contact: Raphael Mazor, [email protected]

http://www.waterboards.ca.gov/water_issues/programs/swamp/docs/swamp_sop_bio.pdf

http://www.swrcb.ca.gov/swamp/docs/phab_sopr6.pdf

mailto:[email protected]


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SCCWRP (Southern California Coastal Water Research Project). Version 1.0, June 25, 2009. Prepared by Southern California Coastal Water Research Project, Costa Mesa, CA. June 2009.

SDCRC (San Diego County Regional Copermittees), 2007a. Monitoring Workplan for the Assessment of Trash in San Diego County. Prepared by Weston Solutions, Inc.

SDCRC (San Diego County Regional Copermittees). 2007b. Monitoring Workplan for the Assessment of Synthetic Pyrethroids in San Diego County Watersheds. Prepared by Weston Solutions, Inc.

Sen, P. 1968. “Estimates of the Regression Coefficient Based on Kendall's Tau.” In Journal of the American Statistical Association, 63, 1379–1389.

USEPA (United States Environmental Protection Agency). 1991. Methods for Aquatic Toxicity Identification Evaluations. Phase I Toxicity Characterization Procedures. EPA/600/6-91/003. EPA Office of Research and Development. Second Edition. February 1991.

USEPA (United States Environmental Protection Agency). 1992. Toxicity Identification Evaluation. Characterization of Chronically Toxic Effluents, Phase I. EPA/600/6-91/005F. EPA Office of Research and Development. May 1992.

USEPA (United States Environmental Protection Agency). 1993a. Methods for Aquatic Toxicity Identification Evaluations. Phase II Toxicity Characterization Procedures for Samples Exhibiting Acute and Chronic Toxicity. EPA/600/R-92/080. EPA Office of Research and Development. September 1993.

USEPA (United States Environmental Protection Agency). 1993b. Methods for Aquatic Toxicity Identification Evaluations. Phase III Toxicity Characterization Procedures for Samples Exhibiting Acute and Chronic Toxicity. EPA/600/R-92/081. EPA Office of Research and Development. September 1993.

USEPA (United States Environmental Protection Agency). 1995. Short-term Methods for Measuring the Chronic Toxicity of Effluents and Receiving Waters to West Coast Marine and Estuarine Organisms. EPA/600/R-95/136. EPA Office of Research and Development. Narragansett, RI.

USEPA (United States Environmental Protection Agency). 2000. Methods for Measuring the Toxicity and Bioaccumulation of Sediment-associated Contaminants with Freshwater Invertebrates. Second Edition. EPA/600/R-99/064. March 2000.

USEPA (United States Environmental Protection Agency). 2002a. Short-term Methods for Estimating the Chronic Toxicity of Effluents and Receiving Waters to Freshwater Organisms. 4th Edition. EPA Office of Water. EPA-821-R-02-013.

USEPA (United States Environmental Protection Agency). 2002b. Methods for Measuring the Acute Toxicity of Effluents and Receiving Waters to Freshwater and Marine Organisms. 5th Edition. EPA Office of Water. EPA-821-R-02-012.


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Wheelock, C.E., J.L. Miller, M.J. Miller, S.J. Gee, R.S. Tjeerdema, and B.D. Hammock. 2005. Influence of Container Adsorption Upon Observed Pyrethroid Toxicity to Ceriodaphnia dubia and Hyalella azteca. Aquatic Toxicology, 74:47-52.

Woodward, M.E., J. Slusark, and P.R. Ode. 2012. Standard Operating Procedures for Laboratory Processing and Identification of Benthic Macroinvertebrates in California. SWAMP Bioassessment Procedures 2012: October 2012. Available at: http://www.waterboards.ca.gov/water_issues/programs/swamp/docs/bmi_lab_sop_final.pdf

http://www.waterboards.ca.gov/water_issues/programs/swamp/docs/bmi_lab_sop_final.pdf


ATTACHMENT A

List of Analytes, Methods, Volumes Required, Holding Times, and Target Reporting Limits by

Station for Dry Weather and Wet Weather


Table A-1. Transitional Receiving Water Monitoring Analyte List – Wet Weather

Constituent Volume Required Method Target

Reporting Limit

Units Max

Holding Time

MLS and TWAS Stations for Wet

Weather in Accordance with San Diego RWQCB Order

No. R9-2007-0001

Chollas Creek (CC-NF54) for Wet


No. R9-2007-0001

Long-Term Receiving Water Monitoring Stations for Wet Weather by WMA in Accordance with San Diego RWQCB Order

No. R9-2013-001

SMR SLR CAR SDC LPC MB SDR SDB TJR

pH In field Meter 0.01 pH N/A x x x x x x x x x x x Temperature In field Meter 0.1 oC N/A x x x x x x x x x x x Specific Conductance In field Meter 1 μS/cm N/A x x x x x x x x x x x Dissolved Oxygen In field Meter 0.01 mg/L N/A x x x x x x x x x Turbidity In field Meter 0.1 NTU N/A x x x x x x x x x x x Total Dissolved Solids 500 mL SM 2540C 10 mg/L 7D x x x x x x x x x x x Total Suspended Solids 1000 mL SM 2540D 5.0 mg/L 7D x x x x x x x x x x x Total hardness Calc. from Ca and Mg SM 2340B 0.662 mg/L N/A x x x x x x x x x x x Total Organic Carbon 250 mL SM 5310 C 0.30 mg/L 28D x x x x x x x x x x x Dissolved Organic Carbon 250 mL SM 5310C 0.50 mg/L 28D x x x x x x x x x x x Chemical Oxygen Demand 250 mL USEPA 410.4 5.0 mg/L 28D x x Sulfate 250 mL USEPA 300.0 0.50 mg/L 28D x x x x x x x x x Chloride 250 mL USEPA 300.0 0.50 mg/L 28D x x x Methylene Blue Active Substances (MBAS) 500 mL SM 5540C 0.050 mg/L 48H x x x x x x x x x x x

Total Phosphorus 250 mL USEPA 365.1 0.010 mg/L 28D x x x x x x x x x x x Dissolved Phosphorus 250 mL USEPA 365.1 0.010 mg/L 48H x x Orthophosphate 250 mL USEPA 365.1 0.0020 mg/L 48H x x x x x x x x x Nitrate as N 250 mL USEPA 353.2 0.10 mg/L 48H x x x x x x x x x x x Nitrite as N 250 mL USEPA 353.2 0.10 mg/L 48H x x x x x x x x x x x TKN 250 mL USEPA 351.2 0.10 mg/L 28D x x x x x x x x x x x Ammonia as N 250 mL USEPA 350.1 0.10 mg/L 28D x x x x x x x x x x x BOD, five-day 1,000 mL SM 5210B 2.0 mg/L 48H x x Oil and grease 1,000 mL USEPA 1664A 5.0 mg/L 28D x x Color 500 mL SM 2120B 3.0 Color Units 48H x x x x Organophosphate Pesticides 2 L USEPA 625M 0.01 µg/L 7/40D2 x x x x x x x x x Synthetic pyrethroids 2 L GC/MS NCI-SIM 2-10 ng/L 7/40D2 x x x x x x x x x x x Chlordane 2 L USEPA 608 0.100 µg/L 7/40D2 x x Malathion 2 L USEPA 625M 0.010 µg/L 7/40D2 x x Diazinon 2 L USEPA 625M 0.010 µg/L 7/40D2 x x x Chlorpyrifos 2 L USEPA 625M 0.010 µg/L 7/40D2 x x x Perchlorate 250 mL USEPA 314 0.0020 mg/L 28D x PAHs (Polycyclic Aromatic Hydrocarbons) 2 L USEPA 625M/

EPA 8270C SIM 0.10 µg/L 7/40D2 x x

PCBs (Polychlorinated Biphenols) Congeners 2 L PCB Congener/

GC/MS/MS 0.010 µg/L 1Yr x x


Table A-1. Transitional Receiving Water Monitoring Analyte List – Wet Weather


Reporting Limit

Units Max

Holding Time

MLS and TWAS Stations for Wet


No. R9-2007-0001

Chollas Creek (CC-NF54) for Wet


No. R9-2007-0001

Long-Term Receiving Water Monitoring Stations for Wet Weather by WMA in Accordance with San Diego RWQCB Order

No. R9-2013-001


DDE (Dichlorodiphenyldichloroethylene) 2 L USEPA 608 0.005 µg/L 7/40D2 x

DDT (Dichlorodiphenyltrichloroethane) 2 L USEPA 608 0.005 µg/L 7/40D2 x

Pentachlorophenol (PCP) 2 L USEPA 625M/ EPA 8270C 1.0 µg/L 7/40D2 x

Aluminum (Al) 250 mL USEPA 200.8 0.005 mg/L 6M x x Antimony (Sb) 250 mL USEPA 200.8 0.0005 mg/L 6M x x Arsenic (As) 250 mL USEPA 200.8 0.0004 mg/L 6M x x x x x x x x x x x Cadmium (Cd) 250 mL USEPA 200.8 0.0001 mg/L 6M x x x x x x x x x x x Chromium (Cr) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x x x Chromium III (Cr) Calculated from Total Chromium and Chromium VI mg/L N/A Chromium VI (Cr) 250 mL USEPA 218.6 0.0003 mg/L 28D Copper (Cu) 250 mL USEPA 200.8 0.0005 mg/L 6M x x x x x x x x x x x Iron (Fe) 250 mL USEPA 200.7 0.010 mg/L 6M x x x x x x x x x Lead (Pb) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x x x Manganese (Mn) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x Mercury (Hg) 250 mL USEPA 245.1 0.00005 mg/L 28D x x x x x x x x x Nickel (Ni) 250 mL USEPA 200.8 0.0008 mg/L 6M x x x x x x x x x x x Selenium (Se) 250 mL USEPA 200.8 0.0004 mg/L 6M x x x x x x x x x x x Silver (Ag) 250 mL USEPA 200.8 0.0002 mg/L 6M Thallium (Tl) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x Zinc (Zn) 250 mL USEPA 200.8 0.005 mg/L 6M x x x x x x x x x x x Total coliforms 100 mL SM 9221B 20 MPN/100mL 8H x x x x x x x x x x x Fecal coliforms 100 mL SM 9221E 20 MPN/100mL 8H x x x x x x x x x x x Enterococci 100 mL SM 9230B 20 MPN/100mL 8H x x x x x x x x x x x Acute Survival with Hyalella azteca 4L EPA-821-R-02-012 N/A Pass/Fail 36hr x x Larval Survival and Growth with Pimephales promelas 15L EPA-821-R-02-013 N/A Pass/Fail 36hr x* x* x* x* x* x* x* x* x* Survival and Reproduction with Ceriodaphnia dubia 4L EPA-821-R-02-013 N/A Pass/Fail 36hr x x x* x* x* x* x* x* x* x* x*

Embryo-Larval Development with Strongylocentrotus purpuratus 4L EPA-600-R-95-136 N/A Pass/Fail 36hr x* x* x* x* x* x* x* x* x*

Growth with Selenastrum capricornutum 4L EPA-821-R-02-013 N/A Pass/Fail 36hr x x x* x* x* x* x* x* x* x* x*

1 Nephelometric turbidity units. 2 7 days for sample extraction and 40 days holding for extract to be analyzed. *If sample has salinity less than 1ppt, then tests include Pimephales promelas, Ceriodaphnia dubia, and Selenastrum capricornutum. If sample has salinity greater than 1ppt, then tests include Strongylocentrotus purpuratus.


Table A-2. Transitional Receiving Water Monitoring Analyte List – Dry Weather


Reporting Limit

Units Max

Holding Time

MLS and TWAS Stations for Dry


No. R9-2007-0001

Chollas Creek (CC-NF54) for Dry


No. R9-2007-0001

Long-Term Receiving Water Monitoring Stations for Dry Weather by WMA in Accordance with San Diego RWQCB Order

No. R9-2013-001


pH In field Meter 0.01 pH N/A x x x x x x x x x x x Temperature In field Meter 0.1 oC N/A x x x x x x x x x x x Specific Conductance In field Meter 1 μS/cm N/A x x x x x x x x x x x Dissolved Oxygen In field Meter 0.01 mg/L N/A x x x x x x x x x Turbidity In field Meter 0.1 NTU N/A x x x x x x x x x x x Total Dissolved Solids 500 mL SM 2540C 10 mg/L 7D x x x x x x x x x x x Total Suspended Solids 1000 mL SM 2540D 5.0 mg/L 7D x x x x x x x x x x x Total hardness Calc. from Ca and Mg SM 2340B 0.662 mg/L N/A x x x x x x x x x x x Total Organic Carbon 250 mL SM 5310 C 0.30 mg/L 28D x x x x x x x x x x x Dissolved Organic Carbon 250 mL SM 5310C 0.50 mg/L 28D x x x x x x x x x x x Chemical Oxygen Demand 250 mL USEPA 410.4 5.0 mg/L 28D x x Sulfate 250 mL USEPA 300.0 0.50 mg/L 28D x x x x x x x x x Chloride 250 mL USEPA 300.0 0.50 mg/L 28D x x x Methylene Blue Active Substances (MBAS) 500 mL SM 5540C 0.050 mg/L 48H x x x x x x x x x x x

Total Phosphorus 250 mL USEPA 365.1 0.010 mg/L 28D x x x x x x x x x x x Dissolved Phosphorus 250 mL USEPA 365.1 0.010 mg/L 48H x x Orthophosphate 250 mL USEPA 365.1 0.0020 mg/L 48H x x x x x x x x x Nitrate as N 250 mL USEPA 353.2 0.10 mg/L 48H x x x x x x x x x x x Nitrite as N 250 mL USEPA 353.2 0.10 mg/L 48H x x x x x x x x x x x TKN 250 mL USEPA 351.2 0.10 mg/L 28D x x x x x x x x x x x Ammonia as N 250 mL USEPA 350.1 0.10 mg/L 28D x x x x x x x x x x x BOD, five-day 1,000 mL SM 5210B 2.0 mg/L 48H x x Oil and grease 1,000 mL USEPA 1664A 5.0 mg/L 28D x x Color 500 mL SM 2120B 3.0 Color Units 48H x x x x Organophosphate Pesticides 2 L USEPA 625M 0.01 µg/L 7/40D2 x x x x x x x x x Synthetic pyrethroids 2 L GC/MS NCI-SIM 2-10 ng/L 7/40D2 x x x x x x x x x Chlordane 2 L USEPA 608 0.100 µg/L 7/40D2 x x Malathion 2 L USEPA 625M 0.010 µg/L 7/40D2 x x Diazinon 2 L USEPA 625M 0.010 µg/L 7/40D2 x x x Chlorpyrifos 2 L USEPA 625M 0.010 µg/L 7/40D2 x x x Perchlorate 250 mL USEPA 314 0.0020 mg/L 28D x PAHs (Polycyclic Aromatic Hydrocarbons) 2 L USEPA 625M/

EPA 8270C SIM 0.10 µg/L 7/40D2 x x

PCBs (Polychlorinated Biphenols) Congeners 2 L PCB Congener/

GC/MS/MS 0.010 µg/L 1Yr x x


Table A-2. Transitional Receiving Water Monitoring Analyte List – Dry Weather


Reporting Limit

Units Max

Holding Time

MLS and TWAS Stations for Dry


No. R9-2007-0001

Chollas Creek (CC-NF54) for Dry


No. R9-2007-0001

Long-Term Receiving Water Monitoring Stations for Dry Weather by WMA in Accordance with San Diego RWQCB Order

No. R9-2013-001


DDE (Dichlorodiphenyldichloroethylene) 2 L USEPA 608 0.005 µg/L 7/40D2 x

DDT (Dichlorodiphenyltrichloroethane) 2 L USEPA 608 0.005 µg/L 7/40D2 x

Pentachlorophenol (PCP) 2 L USEPA 625M/ EPA 8270C 1.0 µg/L 7/40D2 x

Aluminum (Al) 250 mL USEPA 200.8 0.005 mg/L 6M x x Antimony (Sb) 250 mL USEPA 200.8 0.0005 mg/L 6M x x Arsenic (As) 250 mL USEPA 200.8 0.0004 mg/L 6M x x x x x x x x x x x Cadmium (Cd) 250 mL USEPA 200.8 0.0001 mg/L 6M x x x x x x x x x x x Chromium (Cr) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x x x Chromium III (Cr) Calculated from Total Chromium and Chromium VI mg/L N/A x x x x x x x x x Chromium VI (Cr) 250 mL USEPA 218.6 0.0003 mg/L 28D x x x x x x x x x Copper (Cu) 250 mL USEPA 200.8 0.0005 mg/L 6M x x x x x x x x x x x Iron (Fe) 250 mL USEPA 200.7 0.010 mg/L 6M x x x x x x x x x Lead (Pb) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x x x Manganese (Mn) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x Mercury (Hg) 250 mL USEPA 245.1 0.00005 mg/L 28D x x x x x x x x x Nickel (Ni) 250 mL USEPA 200.8 0.0008 mg/L 6M x x x x x x x x x x x Selenium (Se) 250 mL USEPA 200.8 0.0004 mg/L 6M x x x x x x x x x x x Silver (Ag) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x Thallium (Tl) 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x x Zinc (Zn) 250 mL USEPA 200.8 0.005 mg/L 6M x x x x x x x x x x x Total coliforms 100 mL SM 9221B 20 MPN/100mL 8H x x x x x x x x x x x Fecal coliforms 100 mL SM 9221E 20 MPN/100mL 8H x x x x x x x x x x x Enterococci 100 mL SM 9230B 20 MPN/100mL 8H x x x x x x x x x x x Acute Survival with Hyalella azteca 4L EPA-821-R-02-012 N/A Pass/Fail 36hr x x Larval Survival and Growth with Pimephales promelas 15L EPA-821-R-02-013 N/A Pass/Fail 36hr x* x* x* x* x* x* x* x* x* Survival and Reproduction with Ceriodaphnia dubia 4L EPA-821-R-02-013 N/A Pass/Fail 36hr x x x* x* x* x* x* x* x* x* x*

Embryo-Larval Development with Strongylocentrotus purpuratus 4L EPA-600-R-95-136 N/A Pass/Fail 36hr x* x* x* x* x* x* x* x* x*

Growth with Selenastrum capricornutum 4L EPA-821-R-02-013 N/A Pass/Fail 36hr x x x* x* x* x* x* x* x* x* x* 1 Nephelometric turbidity units. 2 7 days for sample extraction and 40 days holding for extract to be analyzed. *If sample has salinity less than 1ppt, then tests include Pimephales promelas, Ceriodaphnia dubia, and Selenastrum capricornutum. If sample has salinity greater than 1ppt, then tests include Strongylocentrotus purpuratus.

Program Monitoring and Data Analysis Methods for Regional Board Order No. R9-2007-0001 September 1, 2014

ATTACHMENT B

List of Water Quality Benchmarks for Use in the San Diego County Regional Copermittee

Monitoring Program


Table B-1. Water Quality Benchmarks Developed Under the 2007 Permit for Use in the San Diego County Regional Copermittee Monitoring Program

Constituent Units Wet Weather Water Quality Benchmark Ambient Water Quality Benchmark Source

General/Physical/Organic Electrical conductivity µmhos/cm NA NA NA Oil and grease mg/L 10 10 1 Basin Plan, 3. Anacostia River TMDL, 4. MSGP 2000 pH pH units 6.5–9.0 6.5–9.0 1. Basin Plan Bacteriological Enterococci MPN/100 mL NA 151 1. Basin Plan Fecal coliforms MPN/100 mL 400/4,000 400/4,000 1.Basin Plan REC-1/REC-2 Total coliforms MPN/100 mL NA NA 1. Basin Plan (Bays and Estuaries and Shell Criteria) Wet Chemistry

Ammonia As N mg/L Criterion maximum concentration (CMC)

(salmonids absent) calculation based on pH, temp

Criterion continuous concentration (CCC) (early life stages present) calculation based on pH, temp 6. USEPA Water Quality Criteria (Freshwater)

BOD mg/L 30 10 4. MSGP 2000, 8. McNeeley (1979) COD mg/L 120 120 4. MSGP 2000 Dissolved phosphorus mg/L 2 0.1 4. MSGP 2000, 1. Basin Plan Nitrate as N mg/L 10 10 1. Basin Plan Nitrite as N mg/L 1 1 1. Basin Plan Surfactants (MBAS) mg/L 0.5 0.5 1. Basin Plan TDS mg/L 500–2,100 (varies by watershed) 500–2,100 (varies by watershed) 1. Basin Plan TKN mg/L NA NA NA Total nitrogen mg/L NA 1.0 1. Basin Plan Total phosphorus mg/L 2 0.1 4. MSGP 2000, 1. Basin Plan TSS mg/L 100 58 4. MSGP 2000, 14. NSQD, Basin Plan Turbidity NTU 20 20 1. Basin Plan Pesticides

Chlorpyrifos µg/L 0.02 (acute) / 0.014 (chronic) 0.02 (acute) / 0.014 (chronic) 12. CDFG, 2000

Diazinon µg/L 0.08 acute / 0.05 chronic (Chollas 0.072 (acute) / 0.045 (chronic))

0.08 acute / 0.05 chronic (Chollas 0.072 (acute) / 0.045 (chronic))

12. CDFG, 2000, 11. Chollas Creek TMDL for Diazinon, 10. USEPA, Aquatic Life Ambient Water Quality Criteria Diazinon

Malathion µg/L 0.43 0.43 acute / 0.1 chronic 13. CDFG, 1998, 5. Goldbook

Synthetic Pyrethroids1 Allethrin µg/L NA NA NA Bifenthrin µg/L 0.0093 NA 15. Anderson et al. 2006 Cyfluthrin µg/L 0.344 µg/L; 0.20 µg/L with PBO NA 17. Wheelock et al. 2004 Cypermethrin µg/L 0.683 µg/L; 0.005 µg/L with PBO NA 17. Wheelock et al. 2004 Danitol µg/L NA NA NA Deltamethrin µg/L NA NA NA Esfenvalerate µg/L 0.25 µg/L; 0.21 µg/L with PBO NA 17. Wheelock et al. 2004 L-Cyhalothrin µg/L 0.20 µg/L; 0.005 µg/L with PBO NA 17. Wheelock et al. 2004 Permethrin µg/L 0.021 NA 15. Anderson et al. 2006 Prallethrin µg/L NA NA NA Piperonyl Butoxide µg/L 650 µg/L NA 18. El-Merhibi et al. 2004


Table B-1. Water Quality Benchmarks Developed Under the 2007 Permit for Use in the San Diego County Regional Copermittee Monitoring Program


Hardness Total hardness mg CaCO3/L NA NA NA Total Metals Antimony mg/L NA 0.006 for MUN water 1. Basin Plan Arsenic mg/L NA 0.01 for MUN water 1. Basin Plan Cadmium mg/L NA 0.005 for MUN water 1. Basin Plan Chromium mg/L NA 0.05 for MUN water 1. Basin Plan Copper mg/L NA 1.0 for MUN water 1. Basin Plan Lead mg/L NA NA NA Nickel mg/L NA 0.1 for MUN water 1. Basin Plan Selenium mg/L NA 0.005 16. 40 CFR 131.38 Zinc mg/L NA 5.0 for MUN water 1. Basin Plan Dissolved Metals Antimony mg/L 0.006 0.006 1. Basin Plan

Arsenic mg/L 0.34 (acute) 0.34 (acute) and 0.15 (chronic) / 0.05 for drinking water 16. 40 CFR 131.38

Cadmium mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Chromium mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Copper mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Lead mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Nickel mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Selenium mg/L NA NA 16. 40 CFR 131.38 Zinc mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 * NA indicates no criteria or published value was available or applicable to the matrix or program. 1Note: The SMC suggests that the synthetic pyrethroid analytical method may be highly variable. Benchmarks presented in this document are for comparison purposes only and for further assessment with toxicity results. 3PBO – Piperonyl Butoxide


Table B-2. San Diego County Regional Copermittee Monitoring Program Water Quality Benchmark Sources

Reference ID # Source Link

1 Water Quality Control Plan for the San Diego Basin (Basin Plan), 1994 (with amendments effective prior to April 4, 2011) http://www.swrcb.ca.gov/sandiego/water_issues/programs/basin_plan/

2 California Code of Regulations Title 22 https://govt.westlaw.com/calregs/Browse/Home/California/CaliforniaCodeofRegulations?guid=I1BF54D00D4BA11DE8879F88E8B0DAAAE&originationContext=documenttoc&transitionType=Default&contextData=(sc.Default)

3 District of Columbia Final TMDL for Oil and Grease in Anacostia River, October, 2003 http://os.dc.gov/sites/default/files/dc/sites/ddoe/publication/attachments/fin_ana_oil_grease.pdf

4 EPA 2015 Multi-Sector General Permit http://water.epa.gov/polwaste/npdes/stormwater/EPA-Multi-Sector-General-Permit-MSGP.cfm

5 National Recommended Water Quality Criteria http://water.epa.gov/scitech/swguidance/standards/criteria/current/index.cfm 6 Aquatic Life Ambient Water Quality Criteria for Ammonia - Freshwater 2013 http://water.epa.gov/scitech/swguidance/standards/criteria/aqlife/ammonia/index.cfm 7 USEPA, Ambient Water Quality Criteria for Ammonia (Saltwater)-1989, EPA-440/5-88-004, April 1989 http://www.epa.gov/waterscience/criteria/library/ambientwqc/ammoniasalt1989.pdf

8 McNeely, R.N., Neimasis, V.P., Dwyer, L. (1979), Oxygen-chemical oxygen demand. In: Water Quality Sourcebook. A guide to water quality parameters. Water Quality Branch Inland Waters Directorate, Environment Canadá, Ottawa, p.32–33.

9 USEPA, Ambient Water Quality Criteria Recommendations, Information Supporting the Development of State and Tribal Nutrient Criteria, Rivers and Streams in Nutrient Ecoregion III (EPA 822-B-00-016, December, 2000) http://www2.epa.gov/sites/production/files/documents/rivers3.pdf

10 USEPA, Aquatic Life Ambient Water Quality Criteria Diazinon FINAL, EPA-822-R-05-006, December 2005. http://water.epa.gov/scitech/swguidance/standards/criteria/aqlife/diazinon/index.cfm

11 California Regional Board San Diego Region, Technical Report for TMDL for Diazinon in Chollas Creek Watershed San Diego County, Final, August 14, 2002. http://www.waterboards.ca.gov/rwqcb9/water_issues/programs/tmdls/chollascreekdiazinon.shtml

12 Water quality criteria for Diazinon and Chlorpyrifos: California Department of Fish and Game, 2000. http://www.cdpr.ca.gov/docs/emon/surfwtr/hazasm/hazasm00_3.pdf

13 Hazard Assessment of the Insecticide Malathion to Aquatic Life in the Sacramento–San Joaquin River System: California Department of Fish and Game, Office of Spill Prevention and Response Administrative Report 98-2, 1998.

http://www.cdpr.ca.gov/docs/emon/surfwtr/hazasm/hazasm98_2.pdf

14 Research Progress Report, Findings from the National Stormwater Quality Database, January, 2004. http://rpitt.eng.ua.edu/Research/ms4/Paper/Mainms4paper.html

15 Anderson B.S., B.M. Phillips, J.W. Hunt, S.A. Huntley, K. Worcester, N. Richard, and R.S. Tjeerdema. In Press. Evidence of pesticide impacts in the Santa Maria River watershed (California, USA). Environmental Toxicology and Chemistry.

http://www.waterboards.ca.gov/water_issues/programs/tmdl/records/region_3/2007/ref2321.pdf

16 40 CFR 131.38 http://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title40/40cfr131_main_02.tpl

17 Wheelock, C.E., Miller, J.L., Miller, M.J., Gee, S.J., Shan, G., Hammock, B.D. 2004.Development of toxicity identification evaluation (TIE) procedures for pyrethroid detection using esterase activity. Environmental Toxicology and Chemistry, 23:2699–2708.

http://ucanr.org/sites/hammocklab/files/125885.pdf

18 El-Merhibi, A et al. (2004) Role of piperonyl butoxide in the toxicity of Chlorpyrifos to Ceriodaphnia dubia and Xenopus laevis Ecotoxicol Environ Saf 57:202–12

http://www.swrcb.ca.gov/sandiego/water_issues/programs/basin_plan/

https://govt.westlaw.com/calregs/Browse/Home/California/CaliforniaCodeofRegulations?guid=I1BF54D00D4BA11DE8879F88E8B0DAAAE&originationContext=documenttoc&transitionType=Default&contextData=(sc.Default)

https://govt.westlaw.com/calregs/Browse/Home/California/CaliforniaCodeofRegulations?guid=I1BF54D00D4BA11DE8879F88E8B0DAAAE&originationContext=documenttoc&transitionType=Default&contextData=(sc.Default)

http://os.dc.gov/sites/default/files/dc/sites/ddoe/publication/attachments/fin_ana_oil_grease.pdf

http://water.epa.gov/polwaste/npdes/stormwater/EPA-Multi-Sector-General-Permit-MSGP.cfm

http://water.epa.gov/scitech/swguidance/standards/criteria/current/index.cfm

http://water.epa.gov/scitech/swguidance/standards/criteria/aqlife/ammonia/index.cfm

http://www.epa.gov/waterscience/criteria/library/ambientwqc/ammoniasalt1989.pdf

http://www2.epa.gov/sites/production/files/documents/rivers3.pdf

http://water.epa.gov/scitech/swguidance/standards/criteria/aqlife/diazinon/index.cfm

http://www.waterboards.ca.gov/rwqcb9/water_issues/programs/tmdls/chollascreekdiazinon.shtml



http://www.waterboards.ca.gov/water_issues/programs/tmdl/records/region_3/2007/ref2321.pdf

http://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title40/40cfr131_main_02.tpl

http://ucanr.org/sites/hammocklab/files/125885.pdf


Table B-3. Water Quality Benchmarks Applied for Additional Parameters Required at Long-Term Monitoring Stations under 2013 Permit


Field Measurements and Physical Chemistry

Color Color units 20 20 1. Basin Plan Dissolved Oxygen mg/L <5-<6 (varies by hydrologic area) <5-<6 (varies by hydrologic area) 1. Basin Plan Wet Chemistry Chloride mg/L NA-400 (varies by hydrologic area) NA-400 (varies by hydrologic area) 1. Basin Plan Sulfate mg/L NA – 500 (varies by hydrologic area) NA – 500 (varies by hydrologic area) 1. Basin Plan Chlorinated Organics 4,4´-DDT µg/L 1.1 0.001 16. 40 CFR 131.38 Chlordane µg/L 2.4 0.0043 16. 40 CFR 131.38 PCB Congeners µg/L 0.014 0.014 16. 40 CFR 131.38 Pentachlorophenol µg/L CTR (acute) CTR (chronic) 16. 40 CFR 131.38 Total Metals Aluminum mg/L NA 1.0 for MUN 1. Basin Plan Chromium, Hexavalent mg/L NA 0.010 for MUN water 1. Basin Plan Iron mg/L NA - 0.3 (varies by hydrologic area) NA -0.3 (varies by hydrologic area) 1. Basin Plan Manganese mg/L NA – 1.0 (varies by hydrologic area)/L) NA – 1.0 (varies by hydrologic area)/L) 1. Basin Plan Mercury mg/L NA 0.002 for MUN 1. Basin Plan Silver mg/L NA 0.1 for MUN water 1. Basin Plan Thallium mg/L NA 0.002 for MUN water 1. Basin Plan Dissolved Metals Chromium, Trivalent mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Chromium, Hexavalent mg/L 0.016 0.011 16. 40 CFR 131.38 Copper mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 Silver mg/L CTR (acute) 1 CTR (acute)1 16. 40 CFR 131.38 Zinc mg/L CTR (acute) CTR (acute and chronic) 16. 40 CFR 131.38 * NA indicates no criteria or published value was available or applicable to the matrix or program. 1 – CTR does not contain a CCC for dissolved silver. CTR CMC is used for dry weather for dissolved silver. Wet weather monitoring for dissolved silver is not currently required.

Santa Margarita River WMA TMAR – FINAL APPENDIX B

January 2018

2013-2014 and 2014-2015 Transitional Wet Weather MS4 Outfall Discharge Monitoring

Work Plan

Prepared for:

San Diego County Regional Copermittees

Prepared by:

Weston Solutions, Inc. 5817 Dryden Place, Suite 101

Carlsbad, California 92008

January 5, 2015

2013-2014 and 2014-2015 Transitional Wet Weather MS4 Outfall Discharge Monitoring Work Plan January 5, 2015

i

TABLE OF CONTENTS

1.0 INTRODUCTION .............................................................................................................. 1 1.1 Study Area ...............................................................................................................1

2.0 MONITORING PROGRAM .............................................................................................. 5 2.1 Flow Monitoring ......................................................................................................5 2.2 Weather Monitoring .................................................................................................6 2.3 Water Quality Sampling ..........................................................................................6

2.3.1 Sample Analysis.............................................................................. 9

3.0 QUALITY ASSURANCE/QUALITY CONTROL ......................................................... 10 3.1 Calibration..............................................................................................................10 3.2 Equipment Decontamination and Cleaning ...........................................................10 3.3 Chain-of-Custody Procedures ................................................................................11 3.4 Data Downloads and Storage .................................................................................11

4.0 HEALTH AND SAFETY ................................................................................................. 12 4.1 Traffic Hazards and Traffic Control ......................................................................12 4.2 Confined Space ......................................................................................................12 4.3 Weather Hazards ....................................................................................................13

5.0 ASSESSMENT AND REPORTING ................................................................................ 14 5.1 Land Use Categorization ........................................................................................15 5.2 Stormwater Runoff Coefficient Calculations .........................................................18 5.3 Monitored Outfalls Annual Runoff Volumes and Pollutant Loads

Calculations............................................................................................................20 5.4 Watershed Management Area Jurisdictional Annual Runoff Volumes and

Pollutant Loads Calculations .................................................................................20 5.5 Hydrologic Subarea Stormwater Volumes and Pollutant Loads

Calculations............................................................................................................25

6.0 REFERENCES ................................................................................................................. 27


ii

LIST OF APPENDICES

Appendix A – Field Observation Form Appendix B – List of Analytes, Methods, and Detection Limits by Watershed Management Area Appendix C – Chain-of-Custody Form

LIST OF FIGURES Figure 1. Sigma 910 Flow Meter and Area/Velocity Pressure Sensor ........................................... 5 Figure 2. HOBO Level Logger ....................................................................................................... 5 Figure 3. Example of Sensor Installation ........................................................................................ 6

LIST OF TABLES Table 1. 2013-2014 Monitoring Locations ..................................................................................... 2 Table 2. 2014-2015 Monitoring Locations ..................................................................................... 3 Table 3. Automated Sample Pacing for Time-Weighted Composites By Storm Duration ............ 8 Table 4. Grab Sample Pacing for Time-Weighted Composites By Storm Duration ...................... 8 Table 5. Assessment Land Use Categories Developed from SanGIS Land Use Classes ............. 15 Table 6. Assessment Land Use Hydrology Manual Runoff “C” Values ...................................... 18 Table 7. Typical Land Use Event Mean Concentrations .............................................................. 24


iii

LIST OF ACRONYMS

2007 Permit RWQCB Order No. R9-2007-0001 2013 Permit RWQCB Order No. R9-2013-0001 ALERT Automatic Local Evaluation in Real Time CF correction factor COC chain-of-custody Copermittees San Diego Regional Copermittees CWA Clean Water Act DO dissolved oxygen DU/A dwelling unit per acre ELAP Environmental Laboratory Accreditation Program EMC event mean concentration Geosyntec Geosyntec Consultants GIS Geographic Information System HDPE high-density polyethylene HSA hydrologic subarea Hydrology Manual County of San Diego Hydrology Manual ID identifier LU land use type MS4 municipal separate storm sewer system PCB polychlorinated biphenyl pH hydrogen ion concentration PID photoionization detector QA quality assurance QC quality control Runoff “C” runoff coefficient RWQCB Regional Water Quality Control Board SanGIS San Diego Geographic Information Source SOP Standard Operating Procedure SWAMP Surface Water Ambient Monitoring Program TMDL total maximum daily load UC unit conversion USEPA United States Environmental Protection Agency WMA watershed management area WQIP Water Quality Improvement Plan

UNITS OF MEASURE % percent µg microgram µg/L microgram per liter ft foot ft2 square foot ft3 cubic foot


iv

g gram in inch L liter lb pound mg/L milligram per liter mL milliliter MPN most probable number


1

1.0 INTRODUCTION In May 2013, the San Diego Regional Water Quality Control Board (RWQCB) Order No. R9-2013-0001 (2013 Permit; RWQCB, 2013) was adopted, replacing RWQCB Order No. R9-2007-0001 (2007 Permit; RWQCB, 2007), effective June 27, 2013. The 2013 Permit prescribes transitional monitoring programs for the receiving water and the municipal separate storm sewer system (MS4) outfalls during wet and dry weather for the 2013-2014 and 2014-2015 monitoring years (October 1 to September 30) as a 2-year transitional period between the 2007 Permit and the completion of the Water Quality Improvement Plans (WQIPs) under the 2013 Permit. The purpose of this workplan is to describe the methods and procedures for the 2013-2014 and 2014-2015 transitional wet weather MS4 outfall discharge monitoring program required by the 2013 Permit, which states: Until the monitoring requirements and schedules of Provision D.2.c are incorporated into a Water Quality Improvement Plan that is accepted by the San Diego Water Board pursuant to Provision F.1.b, the Copermittees must conduct the following wet weather MS4 outfall discharge monitoring within each Watershed Management Area (RWQCB, 2013). 1.1 Study Area In San Diego County, 21 Municipal Copermittees (Copermittees) are covered under the 2013 Permit. The Copermittees selected wet weather MS4 outfall discharge monitoring stations from the inventories developed pursuant to Provision D.2.a.(1) for each Watershed Management Area (WMA) as follows:

At least five wet weather MS4 outfall discharge monitoring stations that are representative of storm water discharges from areas consisting primarily of residential, commercial, industrial, and typical mixed-use land uses present within the Watershed Management Area;

At least one wet weather MS4 outfall discharge monitoring station for each Copermittee within the Watershed Management Area; and

The County of San Diego may select two (2) wet weather MS4 outfall discharge monitoring stations for the portion of the Santa Margarita River Watershed Management Area within its jurisdiction to be monitored during the transitional period until the Riverside County Copermittees are notified of coverage under this Order. After the Riverside County Copermittees are notified, the Copermittees in the Watershed Management Area must select wet weather MS4 outfall discharge monitoring stations consistent with the requirements above (RWQCB, 2013).

The sampling locations for the 2013-2014 and 2014-2015 monitoring years are shown in Table 1 and Table 2, respectively.


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Table 1. 2013-2014 Monitoring Locations

MS4 Site Name

Jurisdictional Identifier Jurisdiction Watershed Latitude Longitude

MS4-SMR-1 COSD MS4 SMG01

County of San Diego Santa Margarita 33.37477 -117.25327

MS4-SMR-2 COSD MS4 SMG02

County of San Diego Santa Margarita 33.37384 -117.25351

MS4-SLR-1 Sleeping Indian (S106)

City of Oceanside San Luis Rey 33.26023 -117.26414

MS4-SLR-2 Fireside Channel (S123)

City of Oceanside San Luis Rey 33.22710 -117.34290

MS4-SLR-3 G-5 City of Vista San Luis Rey 33.23521 -117.24966 MS4-SLR-4 COSD MS4 SLR02 County of San Diego San Luis Rey 33.283702 -117.217033 MS4-SLR-5 COSD MS4 SLR03 County of San Diego San Luis Rey 33.317871 -117.163833 MS4-CAR-1 1D-21 City of Carlsbad Carlsbad 33.18033 -117.32910 MS4-CAR-2 CBS-10

(75SWOUTL) City of Encinitas Carlsbad 33.018108 -117.281663

MS4-CAR-3 Sampling Point 825.0.2

City of Escondido Carlsbad 33.140734 -117.053285

MS4-CAR-4 Lake and Alameda (A013)

City of Oceanside Carlsbad 33.17349 -117.2603

MS4-CAR-5 B-02 City of San Marcos Carlsbad 33.146 -117.16024 MS4-CAR-6 North Rios City of Solana Beach Carlsbad 33.003875 -117.272063 MS4-CAR-7 BV-1 City of Vista Carlsbad 33.18271 -117.28387 MS4-CAR-8 COSD MS4

CAR01 County of San Diego Carlsbad 33.12005 -117.20991

MS4-SDC-1 S-06 City of Del Mar San Dieguito 32.959948 -117.268262 MS4-SDC-2 Sampling Point

860.1.4 City of Escondido San Dieguito 33.06951 -117.071356

MS4-SDC-3 306-1749, 1 City of Poway San Dieguito 33.007070 -117.05044 MS4-SDC-4 DW001 City of San Diego San Dieguito 33.05223 -117.06648 MS4-SDC-5 Seascape Sur City of Solana Beach San Dieguito 32.985441 -117.273058 MS4-SDC-6 COSD MS4

SDG01 County of San Diego San Dieguito 33.00303 -117.11602

MS4-LPC-1 S-01 City of Del Mar Los Peñasquitos 32.93964 -117.25947 MS4-LPC-2 286-1755, 1 City of Poway Los Peñasquitos 32.95403 -117.04097 MS4-LPC-3 298-1761, 1 City of Poway Los Peñasquitos 32.98899 -117.02447 MS4-LPC-4 286-1767, 1 City of Poway Los Peñasquitos 32.95935 -117.00219 MS4-LPC-5 DW289 City of San Diego Los Peñasquitos 32.943056 -117.130251 MS4-MB-1 DW103 City of San Diego Mission Bay/La

Jolla 32.82603 -117.23033

MS4-MB-2 DW049 City of San Diego Mission Bay/La Jolla 32.8628 -117.255





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Table 1. 2013-2014 Monitoring Locations

MS4 Site Name

Jurisdictional Identifier Jurisdiction Watershed Latitude Longitude

MS4-SDR-1 27 City of El Cajon San Diego River 32.80256 -116.95808 MS4-SDR-2 OF-ALV-11 City of La Mesa San Diego River 32.77776 -117.01751 MS4-SDR-3 DW136 City of San Diego San Diego River 32.74773 -117.22927 MS4-SDR-4 G30c City of Santee San Diego River 32.84501 -116.99122 MS4-SDR-5 COSD MS4

SDR01 County of San Diego San Diego River 32.86165 -116.94474

MS4-SDB-1 DW797 City of San Diego San Diego Bay 32.69541 -117.05776 MS4-SDB-2 SC-19 City of Chula Vista San Diego Bay 32.65199 -116.94890 MS4-SDB-3 1 City of Coronado San Diego Bay 32.68661 -117.19342 MS4-SDB-4 K-2 City of Imperial

Beach San Diego Bay 32.58832 -117.10747

MS4-SDB-5 908-UNI-MASS City of La Mesa San Diego Bay 32.754663 -117.043269 MS4-SDB-6 5 City of Lemon Grove San Diego Bay 32.74035 -117.04941 MS4-SDB-7 44B City of National City San Diego Bay 32.66974 -117.10247 MS4-SDB-8 COSD MS4

SDB01 County of San Diego San Diego Bay 32.667388 -117.021871

MS4-SDB-9 CV1-1 Port of San Diego San Diego Bay 32.725839 -117.224604 MS4-SDB-10 Airport 1 San Diego Airport

Authority San Diego Bay 32.73635 -117.20770

MS4-TJR-1 E-1B, E-1A City of Imperial Beach

Tijuana 32.57292 -117.12313

MS4-TJR-2 DW747 City of San Diego Tijuana 32.56828 -116.95661 MS4-TJR-3 DW820 City of San Diego Tijuana 32.56393 -116.99266 MS4-TJR-4 COSD MS4 TIJ002 County of San Diego Tijuana 32.81982 -116.52626 MS4-TJR-5 COSD MS4 TIJ001 County of San Diego Tijuana 32.60867 -116.47438

Table 2. 2014-2015 Monitoring Locations MS4 Site

Name Jurisdictional Identifier Jurisdiction Watershed Latitude Longitude

MS4-SMR-1 COSD MS4 SMG01 County of San Diego Santa Margarita 33.37477 -117.25327

MS4-SMR-2 COSD MS4 SMG02 County of San Diego Santa Margarita 33.37384 -117.25351

MS4-SLR-1 North River Road & Melba Bishop Park City of Oceanside San Luis Rey 33.25583 -117.29243

MS4-SLR-2 Toopal Drive at Wanis View Estates City of Oceanside San Luis Rey 33.22186 -117.34984

MS4-SLR-3 G-5 City of Vista San Luis Rey 33.23521 -117.24966

MS4-SLR-4 COSD MS4 SLR02 County of San Diego San Luis Rey 33.28370 -117.21703

MS4-SLR-5 COSD MS4 SLR03 County of San Diego San Luis Rey 33.31787 -117.16383

MS4-CAR-1 1D-21 City of Carlsbad Carlsbad 33.18033 -117.32910

MS4-CAR-2 CBS-10 (75SWOUTL) City of Encinitas Carlsbad 33.01811 -117.28166

MS4-CAR-3 Sampling Point 825.0.2 City of Escondido Carlsbad 33.14073 -117.05329

MS4-CAR-4 Oceana East Community Drainage City of Oceanside Carlsbad 33.21045 -117.32639


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MS4 Site Name Jurisdictional Identifier Jurisdiction Watershed Latitude Longitude

MS4-CAR-5 B-02 City of San Marcos Carlsbad 33.14600 -117.16024

MS4-CAR-6 North Rios City of Solana Beach Carlsbad 33.00388 -117.27206

MS4-CAR-7 BV-1 City of Vista Carlsbad 33.18271 -117.28387

MS4-CAR-8 COSD MS4 CAR01 County of San Diego Carlsbad 33.12005 -117.20991

MS4-SDC-1 S-06 City of Del Mar San Dieguito 32.95995 -117.26826

MS4-SDC-2 Sampling Point 860.1.4 City of Escondido San Dieguito 33.06951 -117.07136

MS4-SDC-3 306-1761, 1 City of Poway San Dieguito 33.00932 -117.02583

MS4-SDC-4 DW001 City of San Diego San Dieguito 33.05223 -117.06648

MS4-SDC-5 Seascape Sur City of Solana Beach San Dieguito 32.98544 -117.27306

MS4-SDC-6 COSD MS4 SDG01 County of San Diego San Dieguito 33.00303 -117.11602

MS4-LPC-1 S-01 City of Del Mar Los Peñasquitos 32.93964 -117.25947

MS4-LPC-2 286-1755, 1 City of Poway Los Peñasquitos 32.95403 -117.04097



MS4-LPC-5 DW839 City of San Diego Los Peñasquitos 32.89915 -117.11371






MS4-SDR-1 27 City of El Cajon San Diego River 32.80256 -116.95808

MS4-SDR-2 OF-ALV-11 City of La Mesa San Diego River 32.77776 -117.01751

MS4-SDR-3 DW136 City of San Diego San Diego River 32.74773 -117.22927

MS4-SDR-4 G30c City of Santee San Diego River 32.84501 -116.99122

MS4-SDR-5 COSD MS4 SDR01 County of San Diego San Diego River 32.86165 -116.94474

MS4-SDB-1 DW797 City of San Diego San Diego Bay 32.69541 -117.05776

MS4-SDB-2 SC-19 City of Chula Vista San Diego Bay 32.65199 -116.94890

MS4-SDB-3 1 City of Coronado San Diego Bay 32.68661 -117.19342

MS4-SDB-4 K-2 City of Imperial Beach San Diego Bay 32.58832 -117.10747

MS4-SDB-5 908-UNI-MASS City of La Mesa San Diego Bay 32.75466 -117.04327

MS4-SDB-6 69 City of Lemon Grove San Diego Bay 32.7347 -117.05626

MS4-SDB-7 44B City of National City San Diego Bay 32.66974 -117.10247

MS4-SDB-8 COSD MS4 SDB01 County of San Diego San Diego Bay 32.66739 -117.02187

MS4-SDB-9 CV1-1 Port of San Diego San Diego Bay 32.72584 -117.22460 MS4-SDB-10 Airport 1

San Diego Airport Authority San Diego Bay 32.73635 -117.20770

MS4-TJR-1 E-1B, E-1A City of Imperial Beach Tijuana 32.57292 -117.12313

MS4-TJR-2 DW749 City of San Diego Tijuana 32.56259 -117.01665

MS4-TJR-3 DW223 City of San Diego Tijuana 32.56265 -117.08817

MS4-TJR-4 COSD MS4 TIJ002 County of San Diego Tijuana 32.81982 -116.52626

MS4-TJR-5 COSD MS4 TIJ001 County of San Diego Tijuana 32.60867 -116.47438


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2.0 MONITORING PROGRAM This section describes the flow monitoring methods, sampling methods, and analytical methods for the 2013-2014 and 2014-2015 transitional wet weather MS4 outfall discharge monitoring program. The wet weather MS4 outfall discharge monitoring stations were selected pursuant to Provision D.2.a.(3)(a) of the 2013 Permit. The monitoring stations described in Table 1 and Table 2 will be monitored once during the 2013-2014 wet weather monitoring season and once during the 2014-2015 wet weather monitoring season, which take place from October 1 to April 30. The selected wet weather monitoring events will be representative of the range of hydrological conditions experienced in the region. At least 10 percent (%) of samples will be collected during the first wet weather event of the wet season to include at least one such sample per each WMA. 2.1 Flow Monitoring The flow rates and volumes will be measured or estimated from the MS4 outfalls. Flow rates will be measured or estimated in accordance with the National Pollutant Discharge Elimination System (NPDES) Storm Water Sampling Guidance Document (EPA-833-B-92-001) Section 3.2.1 (United States Environmental Protection Agency (USEPA), 1992), or by another method proposed by the Copermittees that is acceptable to the San Diego RWQCB. Flow monitoring may need to be adapted specifically for tidally influenced sites.

Flow will be monitored at each site (Table 1 and Table 2) to determine the volume of runoff of the storm events. Flow will be estimated with a Sigma 920 Flow Meter (or similar type device) with an area velocity sensor and pressure transducer (Figure 1). The sensor measures water level and velocity. Flow will be calculated based on the cross sectional area of the pipe, level of water, slope, and velocity. Flow may also be estimated using a HOBO level logger (or similar type device) (Figure 2). The HOBO level logger is a pressure transducer only, and the flow will be estimated based on the area of the pipe, level of water, and slope. The sensors will be secured to the bottom of each channel or pipe (site dependent) (Figure 3).

Figure 1. Sigma 910 Flow Meter and Area/Velocity Pressure Sensor

Figure 2. HOBO Level Logger


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Figure 3. Example of Sensor Installation

At each site, the pipe diameter and slope will be measured and recorded. Level and flow measurements will be logged at 5-minute intervals for the duration of the monitoring event when using continuous logging devices. Data downloads will occur after the monitoring event is complete. Due to the velocities and potential for debris to be carried by storm flows, it is possible that the flow sensor may be damaged during storm flows. Damage to a flow sensor may result in a data gap of actual recorded flows. In this event, flows from the respective drainage area will be modeled for any data gaps based on the drainage area and impervious cover. If manual sampling techniques are used, periodic level measurements will be made throughout the event at specific intervals (e.g., with every grab sample, or every 15 minutes, 30 minutes, or hourly throughout the event). 2.2 Weather Monitoring For each monitoring event, the following narrative descriptions and observations will be recorded at each wet weather MS4 outfall discharge monitoring station: station location, date and duration of the storm event(s) sampled, rainfall estimates of the storm event, and the duration between the storm event sampled and the end of the previous measurable (greater than 0.1 inch rainfall) storm event. Storm events will be considered viable for mobilization if they are predicted to produce at least 0.1 inch of rainfall in the drainage area and at least a 70% chance of rainfall. The mobilization criteria must be met at least 24 hours prior to the anticipated onset of rainfall. For the purposes of the criteria, storm forecasts will be obtained from the National Weather Service website (http://www.wrh.noaa.gov/sgx/). 2.3 Water Quality Sampling This section discusses the sampling procedures and analytical methods for wet weather sampling. For the wet weather monitoring events, the Copermittees will collect and analyze samples from each wet weather MS4 outfall discharge monitoring station to satisfy the following requirements in accordance with the MS4 Permit:

Analytes that are field measured are not required to be analyzed by a laboratory;


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The Copermittees must implement consistent sample collection methods for regional comparability of data, unless site-specific conditions indicate the need for alternate methods;

Grab samples may be collected for pH, temperature, specific conductivity, dissolved oxygen, turbidity, and indicator bacteria;

For all other constituents, composite samples must be collected for a duration adequate to be representative of changes in pollutant concentrations and runoff flows using one of the following techniques:

- Time-weighted composites collected over the length of the storm event or the first 24 hour period whichever is shorter, composed of discrete samples, which may be collected through the use of automated equipment, or

- Flow-weighted composites collected over the length of the storm event or a typical 24 hour period, whichever is shorter, which may be collected through the use of automated equipment, or

- If automated compositing is not feasible, a composite sample may be collected using a minimum of 4 grab samples, collected during the first 24 hours of the storm water discharge, or for the entire storm water discharge if the storm event is less than 24 hours;

Only one analysis of the composite of aliquots is required;

The samples must be analyzed for the following constituents:

- Constituents listed as a cause for impairment of receiving waters in the WMA listed on the Clean Water Act (CWA) section 303(d) List,

- Constituents for implementation plans or load reduction plans (e.g. Bacteria Load Reduction Plans, Comprehensive Load Reduction Plans) developed for watersheds where the Copermittees are listed responsible parties under the Total Maximum Daily Loads (TMDLs) in Attachment E to the 2013 Permit, and

- Constituents listed in in Table D-6 of the 2013 Permit (RWQCB, 2013).

To ensure the most consistent sample collection method for all sites, the Copermittees will collect a single time-weighted composite at each site. When unattended automated sampling is feasible, time-weighted composites will be collected over the length of the storm event or in the first 24-hour period, whichever is shorter, composed of discrete samples, which may be collected through the use of automated equipment set at the time intervals listed in Table 3 based on the anticipated size of the storm.


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Table 3. Automated Sample Pacing for Time-Weighted Composites By Storm Duration Storm Duration

(Hours) Sample Aliquot

Interval (Minutes) Sample Volume

(mL) Total Sample

Aliquots Total Volume

(mL) 2 10 800 12 9,600 4 10 800 24 19,200 6 10 400 36 14,400 8 10 400 48 19,200

12 10 400 72 28,800 16 20 400 48 19,200 20 20 400 60 24,000 24 20 400 72 28,800

mL = milliliter

When unattended automated sampling is not feasible (i.e., security or safety issues), a composite sample will be collected using a minimum of four grab samples, collected during the first 24 hours of the stormwater discharge, or for the entire stormwater discharge if the storm event is less than 24 hours at the time intervals listed in Table 4 based on the anticipated size of the storm. Some variation may occur depending on the actual storm intensity and duration. After the storm event, the discrete samples will be composited into one time-weighted composite for chemistry analysis.

Table 4. Grab Sample Pacing for Time-Weighted Composites By Storm Duration

Storm Duration (Hours)

Sample Aliquot Interval (Minutes)

Sample Volume (mL)

Total Sample Aliquots

Total Volume (mL)

2 20 2,000 6 12,000 4 20 2,000 12 24,000 6 40 2,000 9 18,000 8 40 2,000 12 24,000

12 60 2,000 12 24,000 16 60 2,000 16 32,000 20 120 2,000 10 20,000 24 120 2,000 12 24,000

Automated samples for chemistry will be collected with a Sigma 900MAX autosampler (or similar type device). Teflon-lined tubing will be installed and secured at each monitoring location prior to the wet weather event. The autosampler will be deployed by the field team upon arrival at each site. Samples will be pumped with the autosampler into a clean glass bottle. The sample bottle will be appropriately labeled with the sample identifier (ID), date, and time, and will be preserved on ice for transport to the laboratory. After compositing, samples will be subsampled into the appropriate bottles for analysis. Grab samples will be collected using either the Sigma 900MAX autosampler or a glass bottle connected to a sample pole that will be used to collect the sample directly from the outfall location. Nitrile or latex gloves will be worn during sample handling.


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Bacteria samples and field measurements will not be taken from the composite sample; therefore, one grab sample will be collected for bacteria and field measurements during elevated flows. The grab sample will be collected after the second hour of stormwater runoff and before the sixth hour of stormwater runoff. If the stormwater runoff is less than 2 hours, the grab sample will be collected as close to the peak of flow as possible. Microbiology samples will be collected using sterile techniques. Nitrile or latex type gloves will be worn during sample handling. During the sampling event, a 100-milliliter (mL) sterile bacteria bottle will be secured to a sample pole that will be used to collect the sample directly from the outfall location. Care will be employed to not allow contact with area structures or the bottom sediments. The container will be opened only for the needed time to collect the sample and will then be closed immediately following sample collection. If it is suspected that the container was compromised at any times, the sample container will be discarded, and a new sample will be collected with a new sample bottle. The sample bottle must be filled only to the 100-mL mark on the bottle (not over topped or under filled). Field parameters will include hydrogen ion concentration (pH), conductivity, temperature, dissolved oxygen (DO), and turbidity. Samples will be collected and the measurements will be made using a YSI Inc. 6600 series water quality probe or similar type device. Calibration of the instruments will be conducted prior to each sampling event according to the manufacturer’s specifications, and the instruments will be calibrated following each sampling event. Calibration records must be kept on file. A field observation data sheet will be completed (Appendix A) for each sample collected to be representative of site conditions during each sample collection. Chain-of-custody (COC) documentation (Subsection 3.3) will be completed, and samples will be delivered to the respective laboratory to allow for all applicable analyte holding times. 2.3.1 Sample Analysis Samples will be analyzed for bacteria, chemistry, and general field parameters. Chemical and bacterial analysis of samples will be performed by a laboratory certified for the appropriate fields of testing by the California Environmental Laboratory Accreditation Program (ELAP). The laboratory should also be a participant of the Stormwater Monitoring Coalition’s Intercalibration Program. The analyte list, methods, and method detection limits for each WMA are provided in Appendix B. .


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3.0 QUALITY ASSURANCE/QUALITY CONTROL Quality assurance (QA) and quality control (QC) for sampling processes will include proper collection of the samples to minimize the possibility of contamination. All samples will be collected in laboratory-supplied, laboratory-certified, contaminant-free sample bottles. Field staff will wear powder-free nitrile gloves or a similar type of gloves at all times during sample collection. All sampling personnel will be trained according to field sampling standard operating procedures (SOPs). Additionally, the field staff will be made aware of the significance of the project’s detection limits and the requirement to avoid contamination of samples at all times. A temperature blank will be used to ensure that sample holding temperatures were maintained from sample collection through delivery to the laboratory. A field blank will be collected and analyzed to assess contamination from field-related conditions to ensure that positive bias of the sample has not been introduced. A duplicate sample will also be collected and analyzed to assess the variability in sampling and to remain compliant with the Surface Water Ambient Monitoring Program (SWAMP) protocols. During each sampling event, the samples submitted to the laboratory for analysis will be accompanied by one duplicate sample and one field blank per sample delivery group. 3.1 Calibration Field measurements for pH, specific conductivity, DO, turbidity and temperature will be made using a YSI Inc. 6600 series water quality probe or similar probe according to the manufacturer’s specifications. Flow rate/level logging will be collected using a Sigma 920 Flow Meter (or similar type) with an area velocity pressure transducer. Flow rate/level logging may also be estimated using a HOBO level logger (or similar type device). Calibration of all monitoring equipment will be conducted immediately prior to deployment or use and will be field verified during each data download or sampling event. All calibrations will be conducted in accordance with the manufacturer’s specifications. All level logging equipment will be calibrated on-site and field verified for accuracy with a level measurement tape. The YSI Inc. 6600 series water quality probe will be calibrated with calibration solutions, and it will be verified that the expiration date has not been exceeded. 3.2 Equipment Decontamination and Cleaning QA/QC for sampling processes begins with proper collection of the samples to minimize the possibility of contamination. All water samples will be collected in laboratory-certified, contaminant-free, high-density polyethylene (HDPE) or amber glass bottles. Appropriate sample containers and field measurement and sampling gear will be transported to the sample site in clean storage containers according to the appropriate SOP. Temperature, pH, conductivity, and other field data will be measured and recorded using the appropriate equipment that is decontaminated with soap, tap water, and a final deionized water rinse. If sampling poles are used for collecting water samples, they will be decontaminated between sampling locations. After decontamination, all sample devices will be rinsed two times with site water, and the third sample will be used for collecting the grab sample. The chemistry and


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bacteria analysis of the samples will be performed under the guidelines of the QA/QC programs established by the analytical laboratory. 3.3 Chain-of-Custody Procedures COC procedures will be used for all samples throughout the collection, transport, and analytical process. A copy of a COC form is included in Appendix C. Samples will be considered to be in custody if they are: 1) in the custodian’s possession or view, 2) retained in a secured place (under lock) with restricted access, or 3) placed in a container and secured with an official seal so that the sample cannot be reached without breaking the seal. The principal documents used to identify samples and to document possession will be COC records, field logbooks, and field tracking forms. The COC procedures will be initiated during sample collection. A COC record will be provided with each sample or group of samples. Each person who had custody of the samples will sign the form and ensure that the samples were not left unattended unless properly secured. Documentation of sample handling and custody will include the following:

Sample identifier. Sample collection date and time. Any special notations on sample characteristics or analysis. Initials of the person collecting the sample. Date the sample was sent to the analytical laboratory. Shipping company and waybill information.

Completed COC forms will be placed into a plastic envelope and kept inside the cooler containing the samples. Upon delivery to the analytical laboratory, the COC form will be signed by the person receiving the samples. COC records will be included in the final reports prepared by the analytical laboratories and will be considered an integral part of the laboratory report. 3.4 Data Downloads and Storage All data downloaded to a field computer will be immediately copied to a main office data server. The server will be backed up daily in accordance with standard server practices. Data will also be copied to project folders for QA review and approval prior to moving to the project file.


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4.0 HEALTH AND SAFETY Field sampling events have the potential for dangerous situations to arise. Field personnel need to be aware of safety hazards and take appropriate precautions. A health and safety tailgate meeting will be held prior to any on-site activity. During this meeting, site-specific hazards will be discussed and addressed appropriately. There are several health and safety issues that pertain to the proposed sampling and equipment installation within any areas. 4.1 Traffic Hazards and Traffic Control Because this study is being conducted in residential areas, traffic control procedures must be employed. All traffic rules and regulations and all traffic control signs and devices should be obeyed. Field personnel should allow for extra time when planning travel routes. Vehicle traffic is a major concern during field monitoring activities. Traffic presents hazards when site workers are working close to roadways and the potential exists to be hit by oncoming traffic, and when driving to, from, and on the site. Driving during rain events also presents hazards as slick roadway conditions exist. It is recommended that safe speeds and distances be maintained to avoid rain-related accidents. Whenever possible, field personnel should park as far off the road as possible to avoid interfering with any traffic flow and should comply with the following guidelines when working:

Turn on the vehicle’s flashing yellow warning light and hazard lights. Put out safety cones to mark off the work area. Place yellow barricade around open manhole to clearly mark the area. Avoid steep slopes and stream banks. Always use a flashlight in the dark. Always wear bright orange and reflective safety vests to be more visible.

4.2 Confined Space Several monitoring locations for this project are located in the underground MS4 system. To install, maintain, and uninstall monitoring equipment within the MS4, confined space entry will need to be performed. Confined spaces are defined as any space with only one entry and exit point; therefore, an MS4 is considered a confined space. To perform confined space entry, project personnel must have confined space entry, attendant, and supervisor training, and must have their certificate card. Entering confined spaces presents many health and safety hazards if not performed properly. These hazards include asphyxiation, falls, burns, drowning, engulfment, toxic exposure, and electrocution. A confined space represents the potential for unusually high concentrations of contaminants, explosive atmospheres, limited visibility, physical injury, and restricted movement. A five-gas meter will be used to monitor the atmosphere within the MS4 prior to any personnel entering the system. If the MS4 is unsafe for entry, field personnel may attempt to ventilate the space. If the MS4 is still determined to be unsafe for entry, then no personnel will enter the MS4. Once the MS4 has been determined to be safe for entry, the personnel may enter. A harness and


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retrieval system are used for personnel entering the system. When field personnel are in the MS4, continued air monitoring will occur to ensure that the atmosphere remains non-hazardous. Should air monitoring determine at any time that the air is becoming hazardous, field staff will immediately evacuate the confined space. 4.3 Weather Hazards Installation and maintenance activities will be conducted during dry weather periods only. Though the San Diego region is generally mild during the fall season, the most likely safety issue related to weather is excessive heat. Extreme heat can adversely affect monitoring instrument response and reliability, respiratory protection performance, and chemical protective clothing materials. Standard precautions should be taken to mitigate heat exhaustion during field monitoring events. Storm event monitoring will occur during wet weather. Wet weather conditions increase slipping and tripping hazards, braking distances of vehicles, and the potential for slippage or handling difficulties of field equipment. Rain fills holes and obscures trip-and-fall hazards. Tools and personnel can slip on wet surfaces. Rain and wet weather conditions may decrease visibility and increase the potential for driving accidents. Rain and high humidity may also limit the effectiveness of certain direct-reading instruments (e.g., photoionization detectors (PIDs)).


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5.0 ASSESSMENT AND REPORTING The Transitional Monitoring and Assessment Annual Report to be submitted to the RWQCB on January 31, 2015, will include a description of the 2013-2014 transitional wet weather MS4 outfall discharge monitoring program that was implemented during the 2013-2014 monitoring year. A second Transitional Monitoring and Assessment Annual Report will be submitted to the RWQCB on January 31, 2016, for the data collected during 2014-2015 monitoring year. The methods to complete the wet weather MS4 outfall discharge monitoring assessment are detailed in this section. The assessment methods were formulated with the purpose of providing a means to calculate various parameters required by Section II.D.4.b.(2)(b) of the 2013 Permit based on the MS4 wet weather monitoring data collected during the 2013-2014 and 2014-2015 wet seasons. Section II.D.4.b.(2)(b) of the 2013 Permit states:

(b) Based on the transitional wet weather MS4 outfall discharge monitoring required pursuant to Provision D.2.a.(3) the Copermittees must assess and report the following:

(i) The Copermittees must analyze the monitoring data collected

pursuant to Provision D.2.a.(3), and utilize a watershed model or other method, to calculate or estimate the following for each monitoring year:

[a] The average storm water runoff coefficient for each land use type within the Watershed Management Area;

[b] The volume of storm water and pollutant loads discharged from each of the Copermittee’s monitored MS4 outfalls in its jurisdiction to receiving waters within the Watershed Management Area for each storm event with measurable rainfall greater than 0.1 inch;

[c] The total flow volume and pollutant loadings discharged from the Copermittee’s jurisdiction within the Watershed Management Area over the course of the wet season, extrapolated from the data produced from the monitored MS4 outfalls; and

[d] The percent contribution of storm water volumes and pollutant loads discharged from each land use type within each hydrologic subarea with a major MS4 outfall to receiving waters or within each major MS4 outfall to receiving waters in the Copermittee’s jurisdiction within the Watershed Management Area for each storm event with measurable rainfall greater than 0.1 inch.

(ii) Identify modifications to the wet weather MS4 outfall discharge monitoring locations and frequencies necessary to identify pollutants in storm water discharges from the MS4s in the Watershed Management Area pursuant to Provision D.2.c.(1) (RWQCB, 2013).


15

5.1 Land Use Categorization Geographic information system (GIS) mapping software, in combination with data from the San Diego Geographic Information Source (SanGIS) (SanGIS, 2014), will be used to determine the quantities of the various land use types within each monitored outfall drainage area. The SanGIS land use dataset has numerous land use classifications, and the assessment included categorizing the SanGIS land use classifications into several assessment land use categories. The correlations between SanGIS land use data and the assessment land use classes are shown in Table 5. Table 6 shows the assessment land use classes along with the San Diego County Hydrology Manual (County of San Diego Dept. of Public Works Flood Control Section, 2003) (Hydrology Manual) land use types runoff coefficient (Runoff “C”) values. SanGIS land uses will be grouped into assessment categories in order to facilitate the accurate calculation of Runoff “C” values extrapolated from flow monitoring results. The Commercial land use category will incorporate all “commercial” and most of the “public facility,” “parking lot,” and “commercial recreation” SanGIS classifications. The Industrial land use category will incorporate “industrial,” “airport,” “communications and utilities,” and “terminal” SanGIS classifications. The Residential land use category will incorporate Rural Residential (1 to 4 dwelling units per acre (DU/A)), Single-Family Residential (4.3 to 20 DU/A), and Multi-Family Residential (>20 DU/A). The Multi-Family Residential land use categorization will incorporate high density housing types, such as barracks, dormitories, monasteries, and other group quarters. The Mixed Land Use classification will incorporate the SanGIS classes 9700 (mixed use). Properties with educational facilities (schools) have been grouped into the Educational land use category because of the unique composition of buildings, parking areas, associated hardscape, and open turf and landscaped areas typically present on these properties. Agriculture land use category will include golf courses, orchards or vineyards, intensive agriculture, field crops. The Open Space land use category will include open space, vacant and undeveloped land, parks and recreation, and most of the remaining military SanGIS land uses. The Agriculture and Open Space land use types will be subdivided based on the hydrologic soil type (e.g., soil type A, B, C, or D). Given that areas classified as water, bay, lagoon, lake, reservoir, and large pond would likely turn into a sink for runoff storage, water-related land use classifications (9200, 9201, and 9202) will be excluded from this analysis. Traditionally, Transportation land uses were considered a unique land use classification. The Hydrology Manual does not include unique Runoff “Cs” for roads, freeways, right of ways, and other Transportation land uses. These SanGIS classes will be grouped into a Transportation land use category and assigned a Runoff “C” based on the approximate percentage of impervious cover and associated Runoff “C” listed in the Hydrology Manual.

Table 5. Assessment Land Use Categories Developed from SanGIS Land Use Classes Assessment Land Use Category SanGIS Land Use Classification Agriculture 7204 Golf Course

8001 Orchard or Vineyard 8002 Intensive Agriculture 8003 Field Crops

Commercial 1401 Jail/Prison 1501 Hotel/Motel (Low-Rise) 1502 Hotel/Motel (High-Rise)


16

Assessment Land Use Category SanGIS Land Use Classification

1503 Resort 4111 Rail Station/Transit Center 4114 Parking Lot – Surface 4115 Parking Lot – Structure 4116 Park and Ride Lot 5001 Wholesale Trade 5002 Regional Shopping Center 5003 Community Shopping Center 5004 Neighborhood Shopping Center 5005 Specialty Commercial 5006 Automobile Dealership 5007 Arterial Commercial 5008 Service Station 5009 Other Retail Trade and Strip Commercial 6001 Office (High-Rise) 6002 Office (Low-Rise) 6003 Government Office/Civic Center 6101 Cemetery 6102 Religious Facility 6103 Library 6104 Post Office 6105 Fire/Police Station 6108 Mission 6109 Other Public Services 6501 UCSD/VA Hospital/Balboa Hospital 6502 Hospital - General 6509 Other Health Care 6807 School District Office 7201 Tourist Attraction 7202 Stadium/Arena 7203 Racetrack 7205 Golf Course Clubhouse 7206 Convention Center 7207 Marina 7209 Casino 9501 Residential Under Construction 9502 Commercial Under Construction 9504 Office Under Construction 7208 Olympic Training Center 7210 Other Recreation - High 7607 Residential Recreation

Educational 6801 SDSU/CSU San Marcos/UCSD 6802 Other University or College 6803 Junior College 6804 Senior High School 6805 Junior High School or Middle School 6806 Elementary School 6809 Other School 9505 School Under Construction

Industrial 2001 Heavy Industry 2101 Industrial Park 2103 Light Industry - General 2104 Warehousing


17

Assessment Land Use Category SanGIS Land Use Classification

2105 Public Storage 2201 Extractive Industry 2301 Junkyard/Dump/Landfill 4101 Commercial Airport 4102 Military Airport 4103 General Aviation Airport 4104 Airstrip 4113 Communications and Utilities 4120 Marine Terminal 9503 Industrial Under Construction 4112 Freeway

Transportation 9507 Freeway Under Construction 4117 Railroad Right of Way 4118 Road Right of Way 4119 Other Transportation 9506 Road Under Construction

Mixed Use 9700 Mixed Use Residential: Multi-Family 1200 Multi-Family Residential

1280 Single Room Occupancy Units (SRO's) 1290 Multi-Family Residential Without Units 1300 Mobile Home Park 1402 Dormitory 1403 Military Barracks 1404 Monastery 1409 Other Group Quarters Facility

Residential: Rural 1000 Spaced Rural Residential Residential: Single-Family 1100 Single Family Residential

1110 Single Family Detached 1110 Single Family Detached 1120 Single Family Multiple-Units 1190 Single Family Residential Without Units

Open Space 6701 Military Use 6702 Military Training 6703 Weapons Facility 7211 Other Recreation - Low 7601 Park - Active 7603 Open Space Park or Preserve 7604 Beach - Active 7605 Beach - Passive 7606 Landscape Open Space 7609 Undevelopable Natural Area 9101 Vacant and Undeveloped Land

Water 9200 Water 9201 Bay or Lagoon 9202 Lake/Reservoir/Large Pond

Source: SanGIS, 2014


18

Table 6. Assessment Land Use Hydrology Manual Runoff “C” Values

Land Use Type Hydrology Manual

Runoff “C”Agriculture-A 0.2 Agriculture-B 0.25 Agriculture-C 0.3 Agriculture-D 0.35 Commercial 0.82 Educational 0.58 Industrial 0.87 Mixed Use 0.66 Multi-Family Residential 0.6 Open Space-A 0.2 Open Space-B 0.25 Open Space-C 0.3 Open Space-D 0.35 Rural-Residential 0.41 Single-Family Residential 0.49 Transportation 0.71 Source: County of San Diego, 2003

5.2 Stormwater Runoff Coefficient Calculations Measured flow values will be used in combination with the hydrological features associated with the drainage areas of the monitored outfalls to calculate the average stormwater Runoff Coefficient (Runoff “C”) for each land use type within the WMA. Runoff “C” is defined as the fraction of the rainfall that runs off of the surface. First, for each monitored outfall, the actual event Runoff “C” will be calculated based on outfall drainage area, rainfall, and measured flow. Next, the Hydrology Manual land use Runoff “C” values and overall outfall drainage area Hydrology Manual Runoff “C” value will be calculated based on the individual land use areas within each monitored outfall drainage area. For each monitored outfall, a correction factor will be calculated based on the comparison between the actual Runoff “C” value and the overall Hydrology Manual Runoff “C” value. The associated correction factor will be applied to the individual land use Runoff “C” values for each outfall. Finally, the WMA individual land use Runoff “C” values will be determined based on the area-weighted average of the monitored outfalls’ individual land use Runoff “C” values. The steps in this process are discussed in more detail in the following paragraphs. The actual Runoff “C” for each outfall will be calculated based on the measured stormwater runoff, rainfall, and overall size of the drainage area. Flow measuring equipment will be installed in each monitored outfall, except in rare cases where it is not feasible, in order to estimate the volume of stormwater runoff for the monitored event. Rainfall data for each event will be obtained from the County of San Diego Automatic Local Evaluation in Real Time (ALERT) System rain gauge database for the gauge nearest to the monitored outfall. The delineation of each monitored outfall drainage area will be performed by the responsible Copermittee. The actual Runoff “C” for each outfall will be calculated using the following formula:


19

Volume in cubic feet (ft3) Area in acres Rainfall in inches (in)

The Hydrology Manual Runoff “C” for each monitored outfall will be selected based on the guidance found in Section 3.2 (Developing Input Data for the Rational Method) of the Hydrology Manual and describe below. The area-weighted Hydrology Manual Runoff “C” for each monitored outfall will be calculated using the following formula:

Where: LU = land use type HM = Hydrology Manual HM Runoff “C”LU = Values obtained from Table 3-1 of the HM

A Runoff “C” correction factor will be calculated for each monitored outfall using the following formula:

Where: CF = correction factor

For each monitored outfall, the calculated correction factor will be applied to the Hydrology Manual land use Runoff “C” values within the applicable drainage area as follows:

The land use type Runoff “C” calculation results for the monitored outfalls within the WMA will be compiled as follows to determine the WMA Runoff “C” value for each land use type:


20

5.3 Monitored Outfalls Annual Runoff Volumes and Pollutant Loads Calculations

The annual stormwater runoff volumes and pollutant loads discharged from monitored MS4 outfalls for storm events greater than 0.1 inch of measurable rainfall will be calculated using the actual Runoff “C” values, drainage area sizes, ALERT rain gauge data, and chemistry results obtained from the collection of stormwater samples during the 2013-2014 and 2014-2015 wet seasons. The actual Runoff “C” value and drainage area size for each monitored outfall will be determined as described in Section 5.2. Annual rainfall will be obtained from the ALERT rain gauge database for the gauge nearest to each monitored outfall. The rain gauge data will be analyzed, and rainfall values will be identified and excluded from the annual stormwater volume calculations when precipitation totals do not exceed 0.1 inch over a 24-hour period. The annual volume discharge from each monitored outfall will be calculated as follows:

Where:

The pollutant loads discharged from each monitored MS4 outfall will be calculated based on the calculated annual volume and the chemistry results specific to each outfall as follows:

Where:

5.4 Watershed Management Area Jurisdictional Annual Runoff Volumes and Pollutant Loads Calculations

The total flow volume and pollutant loads discharged from each Copermittee’s jurisdiction within the WMA over the course of the wet season will be calculated based on the data produced from monitoring MS4 outfalls during the 2013-2014 and 2014-2015 wet seasons. The WMA Runoff “C” values, calculated as described in Section 5.2, will be used in combination with land use data and ALERT rain gauge data to calculate the total flow volume for each jurisdiction. The annual volumes will be applied to pollutant event mean concentrations (EMCs) in order to estimate the annual pollutant loads conveyed by the MS4 in each Copermittee’s jurisdiction. The EMC for each applicable pollutant will be determined by


21

compiling the results from the outfalls monitored in the WMA. More details on the flow volume and pollutant load calculations are provided in the paragraphs that follow. The total flow volume conveyed by each Copermittee’s MS4 will be calculated using the land use data, WMA land use type Runoff “C” values (see Section 5.2), and ALERT rain gauge data. GIS mapping software will be used to determine the quantities of the various land use types for each Copermittee by comparing the WMA boundary with the Copermittees’ boundaries. The areas associated with hydrologic subareas (HSAs) without a major outfall will be included in the total area to calculate the assessment required by Section II.D.4.b.(2)(b)(i)[c]; however, an HSA without a major outfall will not be included in the assessment required by Section II.D.4.b.(2)(b)(i)[d]. Properties owned by state or federal agencies and Indian reservations will also be excluded from the total jurisdictional WMA area. An ALERT rain gauge located within the WMA will be selected for the volume calculations. In the event that data from more than one ALERT gauge are available for the WMA, the ALERT gauge that has the most representative data related to the monitored outfalls will be selected (i.e., the station closest to the majority of monitored outfalls was selected to perform outfall-specific calculations for more of the outfalls and was also selected for WMA calculations). The ALERT data will be analyzed, and rainfall values will be identified and excluded from the calculations when precipitation totals do not exceed 0.1 inch of rainfall over a 24-hour period. The following formulas will be used to calculate the annual flow volume from each land use type and total flow volume within each Copermittee’s jurisdiction in the WMA during the wet season:

Where:

The chemistry results obtained from analyzing samples collected at the monitored outfalls during the 2013-2014 and 2014-2015 wet seasons will be evaluated in order to estimate the WMA EMC values for the measured constituents for each general land use type assessed. This evaluation includes estimating each monitored outfall drainage area’s EMC values for the measured constituents for each general land use type assessed. The monitored outfalls will be selected, where practical, to have a single primary land use type in order to facilitate the correlation between land use type and pollutant loading; however, due to the general mixed composition of urban development, the drainage areas of the monitored outfalls may typically consist of a combination of land use types (e.g., primarily single-family residential with some commercial, open space, transportation.). The correlation of measured pollutant concentrations to EMC values for various land use types, therefore, will incorporate the use of published, typical EMC values so that the measured


22

chemistry results will be proportioned to the different land use types within each drainage area. The methods to proportion the measured chemistry results will be similar to the methods to determine the land use type Runoff “C” values (Section 5.2). The measured chemistry results will be the actual EMC values for each monitored outfall drainage area. Typical EMC values will be selected from the literature for each land use type for the measured constituents. The typical EMC values that will be selected along with the reference to the data source are shown in Table 7. Typical overall or comingled EMC values will be calculated for each monitored outfall based on the weighted average of the outfall land use type Runoff “C” values and drainage area land use type areas. The actual EMC values (comingled chemistry results) of the monitored outfall will then be compared to the calculated, typical outfall EMC values in order to determine correction factors for each constituent. For each constituent, the correction factor will then be applied to the typical land use type EMC values for the associated monitored outfall drainage area. The WMA EMC values for the various land use types will be calculated based on corrected land use type EMCs of the monitored outfalls within the WMA, which are weighted by the product of the land use type Runoff “C” values and land use type areas. The following formulas will be used to complete these calculations:

The overall or comingled outfall typical EMC for each measured constituent will be calculated using the following formula:

An EMC correction factor will be calculated for each constituent for each monitored outfall using the following formula:

For each monitored outfall for each constituent, the calculated EMC correction will be applied to the land use type typical EMC value as follows:

The calculation results for the monitored outfalls within the WMA will be compiled to determine the EMC value for each constituent of each land use type assessed within the WMA.

The total WMA pollutant load for each constituent within each jurisdiction will be calculated utilizing the following formula:


23

Where:

2013-2014 and 2014-2015 Transitional Wet Weather MS4 Outfall Discharge Monitoring Workplan January 5, 2015

24

Table 7. Typical Land Use Event Mean Concentrations

Constituent Land Use Type Units Agricultural Commercial Educational Industrial Mixed

Usea Multi-Family Residential

Open Space

Rural- Residentialb

Single-Family Residence Transportation

Bacteriological Fecal Coliform MPN/100 mL 60,300 51,600 51,600 37,600 31,700 11,800 6,310 18,705 31,100 16,800 Enterococcus & Total Coliform MPN/100 mL Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 General Chemistry Ammonia as N mg/L 1.65 1.21 0.40 0.60 0.86 0.50 0.11 0.30 0.49 0.37 Chloride Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Dissolved Organic Carbon mg/L Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Nitrate as N mg/L 34.40 0.55 0.61 0.87 1.03 1.51 1.17 0.98 0.78 0.74 Nitrite as N, Orthophosphate, Percholorate Sulfate, Surfactants (MBAS), Total Dissolved Solids, Total Hardness

mg/L Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2 Note 2

Total Kjeldahl Nitrogen mg/L 7.32 3.44 1.71 2.87 2.62 1.80 0.96 1.96 2.96 1.84 Total Organic Carbon mg/L Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Note 1 Total Phosphorus mg/L 3.34 0.40 0.30 0.39 0.32 0.23 0.12 0.26 0.40 0.68 Total Suspended Solids mg/L 999.0 67.0 99.6 219.0 53.45 39.9 216.6 170.4 124.2 77.8 Total Metals Copper mg/L 0.1001 0.0314 0.0199 0.0345 0.0218 0.0121 0.0106 0.0147 0.0187 0.0522 Lead mg/L 0.0302 0.0124 0.0036 0.0164 0.0085 0.0045 0.0030 0.0072 0.0113 0.0092 Zinc mg/L 0.2748 0.2371 0.1176 0.5376 0.1811 0.1251 0.0263 0.0491 0.0719 0.2929 All Other Total Metals mg/L Note 3 Note 3 Note 3 Note 3 Note 3 Note 3 Note 3 Note 3 Note 3 Note 3 Dissolved Metals Copper mg/L 0.0225 0.0123 0.0122 0.0152 0.0099 0.0074 0.0006 0.0050 0.0094 0.0324 Zinc mg/L 0.0401 0.1534 0.0754 0.4221 0.1155 0.0775 0.0281 0.0278 0.0275 0.2220 All Other Dissolved Metals mg/L Note 4 Note 4 Note 4 Note 4 Note 4 Note 4 Note 4 Note 4 Note 4 Note 4 Pesticides µg/L Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 PCB Congeners µg/L Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Polynuclear Aromatic Hydrocarbons µg/L Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 Note 5 a Mixed used values based average of commercial and multi-family residential values. b Rural residential values based on average of open space and single-family residential values. Note 1: Distribution of constituent EMCs based on values listed for fecal coliform. Note 2: Distribution of constituent EMCs based on values listed for nitrate as N. Note 3: Distribution of constituent EMCs based on values listed for total lead. Note 4: Distribution of constituent EMCs based on values listed for dissolved copper. Note 5: Distribution of constituent EMCs based on values listed for total suspended solids. MBAS – methylene blue active substance MPN – most probable number PCB – polychlorinated biphenyl Source: Geosyntec Consultants (Geosyntec), 2008: Arithmetic averages used from Appendix C of the referenced document.


25

5.5 Hydrologic Subarea Stormwater Volumes and Pollutant Loads

Calculations The percentage contribution of stormwater volumes and pollutant loads discharged from each land use type within each HSA with a major MS4 outfall in each Copermittee’s jurisdiction within the WMA for storm events greater than 0.1 inch in measurable rainfall will be calculated based on data obtained from the MS4 outfall monitoring during the 2013-2014 and 2014-2015 wet weather seasons. The methods to perform these calculations will be similar to those used to calculate the WMA jurisdictional stormwater volumes and pollutant loads detailed in Section 5.4 but HSAs without a major outfall will not be included in this assessment. The land use type Runoff “C” and land use type EMC values calculated for WMA will be used to calculate stormwater volume and pollutant loads discharged from each Copermittee’s jurisdiction in each HSA. The HSA calculation results will then be compared to the associated Copermittee’s total WMA stormwater volume and pollutant loads to determine the percent contribution for each HSA. The following formulas will be utilized to perform HSA calculations:

Where:

The HSA pollutant loadings for each jurisdiction will be calculated utilizing the following formula:

Where:


26


27

6.0 REFERENCES County of San Diego Department of Public Works Flood Control Section. 2003. San Diego

County Hydrology Manual. June 2003. http://www.sandiegocounty.gov/dpw/floodcontrol/floodcontrolpdf/hydro-hydrologymanual.pdf

Geosyntec (Geosyntec Consultants). 2008. A User’s Guide for the Structural BMP Prioritization

and Analysis Tool (SBPAT) Technical Appendices. Prepared for Heal the Bay, City of Los Angeles, and County of Los Angeles Department of Public Works. December 2008.

RWQCB (Regional Water Quality Control Board). 2007. California Regional Water Quality

Control Board San Diego Region, Order No. R9-2007-0001, NPDES No. CAS0108758, Waste Discharge Requirements For Discharges of Urban Runoff from the Municipal Separate Storm Sewer Systems (MS4s) Draining the Watersheds of the County of San Diego, the Incorporated Cities of San Diego County, The San Diego Unified Port District, and the San Diego County Regional Airport Authority. January 2007.

RWQCB (Regional Water Quality Control Board). 2013. California Regional Water Quality

Control Board San Diego Region, Order No. R9-2013-0001, NPDES No. CAS0109266, National Pollutant Discharge Elimination System (NPDES) Permit and Waste Discharge Requirements for Discharges from the Municipal Separate Storm Sewer Systems (MS4s) Draining the Watersheds Within the San Diego Region. May 2013.

SanGIS (San Diego Geographic Information Source). 2014. “SanGIS,” accessed September 22,

2014, http://www.sangis.org/download/index.html. USEPA (U.S Environmental Protection Agency). 1992. NPDES Storm Water Sampling

Guidance Document. EPA 833-B-92-001. Office of Water, USEPA, Washington, DC. July 1992.


APPENDIX A

Field Observation Form


FIELD TEAM

□ CLOUDY □ FOGGY □ DRIZZLING □ RAINY

ODOR □ MUSTY □ SEWAGE □ AMMONIA □ GASOLINE/PETROLEUM

□ FISH/DECAY □ CHLORINE □ NONE □ CHEMICAL □ OTHER □ NONE

COLOR □ YELLOW □ GREEN □ BLUE □ BROWN □ RED

□ COLORLESS □ OTHERFLOATING MATERIALS □ OILY SHEEN

□ ORGANIC MATERIAL □ SCUM □ ALGAE

(ALL THAT APPLY) □ NONE

TRASH □ NONE □ STYROFOAM □ WOOD

TURBIDITY □ CLOUDY □ HEAVY CLOUDINESS, OPAQUE

Salinity (ppt) Turbidity (NTU)

Salinity (ppt) Turbidity (NTU)

QA/QC SAMPLES:

Inches

Inches

FT/SEC IN/SEC

SAMPLING ACTIVITIES (DESCRIBE ALL ACTIONS TAKEN AT EACH SITE VISIT AND PROVIDE ADDITIONAL COMMENTS AS NECESSARY)

PHOTOS TAKEN: □ YES □ NO

PHOTO NUMBERS AND NOTES:

TEAM LEADER'S SIGNATURE

□ FLOW METER PRESENT

Grab samples to be collected: Bacteria (100 mL Poly)GRAB COLLECTION TIME: .

DEPTH

Time of flow estimation, if possible .

WIDTH

VELOCITY (choose one)

Level estimation at time of grab sample

= inches

□ OTHER (DESCRIBE)

□ OTHER (DESCRIBE)

MONITORING PERIOD

WEATHER CONDITIONS

SUR

FAC

E W

ATE

R A

PPEA

RA

NC

E

□ CLEAR

SD County NPDES MS4 Outfall Monitoring 2013-2014

STATION NAME

TIME FINISHED (AT SITE)

RECORDER

□ WET WEATHER □ DRY WEATHER

FIELD OBSERVATIONS AND TESTING LOG SHEETSTATION ID

□ CLEAR

DATE TIME STARTED (AT SITE)

PROJECT/SURVEY NAME SD County NPDES MS4 Outfall

Monitoring 2013-2014

□ ROTTEN EGG/H2S

□ SUDS/FOAM

□ PLASTIC (CUPS, BOTTLES, BAGS)

Water Quality Appearance Comments:

□ EQUIPMENT BLANK

TEMP (°C) pH

□ FIELD DUPLICATE

TEMP (°C) pH

FIELD MEASUREMENTS (Taken in duplicate) YSI Serial # .CONDUCTIVITY (uS/cm) Dissloved Oxygen (mg/L)

CONDUCTIVITY (uS/cm) Dissloved Oxygen (mg/L)


APPENDIX B

List of Analytes, Methods, and Detection Limits by WMA


1

Analytical Monitoring Constituents Volume Required MethodTarget

Reporting Limit

Units Max Holding Time

Santa Margarita

WMA

San Luis ReyWMA

CarlsbadWMA

San Dieguito RiverWMA

Los Penasquitos

WMA

Mission BayWMA

San Diego RiverWMA

San Diego Bay

WMA

Tijuana RiverWMA

pH In field Meter 0.01 pH N/A x x x x x x x x xTemperature In field Meter 0.1 oC N/A x x x x x x x x xSpecific Conductivity In field Meter 1 μS/cm N/A x x x x x x x x xDissolved Oxygen In field Meter 0.01 mg/L N/A x x x x x x x x x

Turbidity In field or lab - 250 mLMeter or USEPA

180.10.1 NTU N/A or 48H x x x x x x x x x

Total Dissolved Solids 500 mL SM 2540C 10 mg/L 7D x x x x x x x x xTotal Suspended Solids 1000 mL SM 2540D 5 mg/L 7D x x x x x x x x x

Total Hardness Calculated from Calcium and Magnesium

SM 2340B 0.662 mg/L N/A x x x x x x x x x

Total Organic Carbon 250 mL SM 5310 C 0.3 mg/L 28D x x x x x x x x xDissolved Organic Carbon 250 mL SM 5310C 0.5 mg/L 28D x x x x x x x x xSulfate 250 mL USEPA 300.0 0.5 mg/L 28D x x x x x x x x xChloride 250 mL USEPA 300.0 0.5 mg/L 28D x x xMethylene Blue Active Substances (MBAS) 500 mL SM 5540C 0.05 mg/L 48H x x x x x x x x xTotal Phosphorus 250 mL USEPA 365.1 0.01 mg/L 28D x x x x x x x x xDissolved Phosphorus (Ortho Phosphate) 250 mL USEPA 365.1 0.002 mg/L 48H x x x x x x x x xNitrite* 250 mL USEPA 353.2 0.1 mg/L 48H x x x x x x x x xNitrate* 250 mL USEPA 353.2 0.1 mg/L 48H x x x x x x x x xTotal Kjeldhal Nitrogen 250 mL USEPA 351.2 0.1 mg/L 28D x x x x x x x x xAmmonia 250 mL USEPA 350.1 0.1 mg/L 28D x x x x x x x x xColor 500 mL SM 2120B 3 Color Units 48H x x x x

Synthetic Organics (pyrethroids) 2 L USEPA 625M 0.01 µg/L 7/40D xPesticides 2 L GC/MS NCI-SIM 0.01 ng/L 7/40D xChlordane 2 L USEPA 608 0.1 µg/L 7/40D xDiazinon 2 L USEPA 625M 0.01 µg/L 7/40D xChlorpyrifos 2 L USEPA 625M 0.01 µg/L 7/40D xPerchlorate 250 mL USEPA 314 0.002 mg/L 28D x

PAHs (Polycyclic Aromatic Hydrocarbons) 2 LUSEPA 625M/

EPA 8270C SIM0.1 µg/L 7/40D x

PCBs (Polychlorinated Biphenols) Congeners 2 LPCB Congener/

GC/MS/MS0.01 µg/L 1Yr x

DDE (Dichlorodiphenyldichloroethylene) 2 L USEPA 608 0.005 µg/L 7/40D xDDT (Dichlorodiphenyltrichloroethane) 2 L USEPA 608 0.005 µg/L 7/40D x

Pentachlorophenol (PCP) 2 LUSEPA 625M/

EPA 8270C 1 µg/L 7/40Dx

Aluminum 250 mL USEPA 200.8 0.005 mg/L 6M x xArsenic 250 mL USEPA 200.8 0.0004 mg/L 6M x x x x x x x x xCadmium 250 mL USEPA 200.8 0.0001 mg/L 6M x x x x x x x x xChromium 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x xCopper 250 mL USEPA 200.8 0.0005 mg/L 6M x x x x x x x x xIron 250 mL USEPA 200.7 0.01 mg/L 6M x x x x x x x x xLead 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x xManganese 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x xMercury 250 mL USEPA 245.1 0.00005 mg/L 28D x xNickel 250 mL USEPA 200.8 0.0008 mg/L 6M x x x x x x x x xSelenium 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x xThallium 250 mL USEPA 200.8 0.0002 mg/L 6M x x x x x x x x xZinc 250 mL USEPA 200.8 0.005 mg/L 6M x x x x x x x x x

Total Coliform 100 mL SM 9221B 20 MPN/100mL 8H

Fecal Coliform** 100 mL SM 9221E 20 MPN/100mL 8H

Enterococcus 100 mL SM 9230B 20 MPN/100mL 8H* Nitrite and nitrate may be combined and reported as nitrite+nitrate**E.Coli may be substitued for Fecal Coliform

x x x x x x x x x

Conventionals, Nutrients, Hydrocarbons

Pesticides and Others

Metals (Total and Dissolved)

Indicator Bacteria


APPENDIX C

Chain-of-Custody Form
