SDMS Document ID 1022097 6.0 UPPER ARKANSAS RIVER BASIN DOWNSTREAM OF THE 11-MILE REACH Consistent with the Work Plan and the Scope of Work, this chapter reviews the existing literature and data sources in order to examine the adequacy of information available for assessing potential natural resource injuries for the upper Arkansas River downstream of the 11-mile reach (Downstream Area). The Downstream Area is defined as the 500-year floodplain below the 11-mile reach, beginning with the confluence of Two-Bit Gulch and continuing for 125 miles to and including Pueblo Reservoir (Figure 6- 1). To accomplish the above-stated objectives, the consulting team developed the following questions about the data in each resource category that would ultimately allow them to make a determination about whether more data might be necessary: • How much data are available, including spatial and temporal coverages? • Is additional information needed in order to make a determination about (1) injury characterization, and/or (2) restoration planning? • If yes to the above question, then what are the types, amounts, and costs of data required to make a determination about injury characterization and restoration planning? The information/data were compiled, reviewed, and evaluated in detail with these questions in mind. Responses to the above questions reflect the consensus views of the consulting team and are based upon the information reviewed, as well as on the experience of the team. Using such an approach it is possible to evaluate whether more data might be of use in making informed decisions about the Downstream Area. In assessing if more data are needed, the consulting team considered the formal definitions of what constitutes injury under the Department of Interior Natural Resource Damage Assessment regulations. In consideration of the high level of review that had occurred, the MOU Parties requested that this chapter also present a characterization of the conditions of the Downstream Area resources and an identification of any injuries that may be attributable to mine-waste. The characterization follows the approach utilized for the 11-mile reach. Given this additional request, the text has been divided to provide an overview of the levels of information available and the relevance of that information to determining injury. This section is followed by a more detailed discussion of that information as it relates to a characterization of injury. A matrix summarizing findings with regard to injury for the Downstream Area is presented at the end of this chapter. J:\OI0004\Task 3 - SCR\SCR_currentl.doc 6-1
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SDMS Document ID
1022097
6.0 UPPER ARKANSAS RIVER BASIN DOWNSTREAM OF THE 11-MILE REACH
Consistent with the Work Plan and the Scope of Work, this chapter reviews the existing literature
and data sources in order to examine the adequacy of information available for assessing potential natural
resource injuries for the upper Arkansas River downstream of the 11-mile reach (Downstream Area). The
Downstream Area is defined as the 500-year floodplain below the 11-mile reach, beginning with the
confluence of Two-Bit Gulch and continuing for 125 miles to and including Pueblo Reservoir (Figure 6-
1).
To accomplish the above-stated objectives, the consulting team developed the following
questions about the data in each resource category that would ultimately allow them to make a
determination about whether more data might be necessary:
• How much data are available, including spatial and temporal coverages?
• Is additional information needed in order to make a determination about (1) injury
• If yes to the above question, then what are the types, amounts, and costs of data required
to make a determination about injury characterization and restoration planning?
The information/data were compiled, reviewed, and evaluated in detail with these questions in
mind. Responses to the above questions reflect the consensus views of the consulting team and are based
upon the information reviewed, as well as on the experience of the team. Using such an approach it is
possible to evaluate whether more data might be of use in making informed decisions about the
Downstream Area. In assessing if more data are needed, the consulting team considered the formal
definitions of what constitutes injury under the Department of Interior Natural Resource Damage
Assessment regulations.
In consideration of the high level of review that had occurred, the MOU Parties requested that
this chapter also present a characterization of the conditions of the Downstream Area resources and an
identification of any injuries that may be attributable to mine-waste. The characterization follows the
approach utilized for the 11-mile reach. Given this additional request, the text has been divided to
provide an overview of the levels of information available and the relevance of that information to
determining injury. This section is followed by a more detailed discussion of that information as it relates
to a characterization of injury. A matrix summarizing findings with regard to injury for the Downstream
Area is presented at the end of this chapter.
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Based on the characterization for the 11-mile reach, surface water was identified as the
fundamental contaminant transport mechanism and exposure pathway for the Downstream Area. The
Downstream Area of the Arkansas River undergoes significant physical and chemical changes from the
bottom of the 11-mile reach to Pueblo Reservoir. The obvious impacts associated with deposition of
historic mine-waste, diminish over this same distance. The river system is influenced by changes in
climate, geology, land-use and resource management. These changes affect water quality characteristics,
flow regimes, and river morphology. In turn, the biological communities and their condition can be
different based on these characteristics alone, making it difficult to determine what, if any, natural
resource injury has occurred as a result of exposure to metals. There are also major changes in the
geomorphology of the river that could influence how mine-wastes are distributed.
6.1 Adequacy of Available Information
The following generally describes the nature and extent of information available to characterize
conditions and potential injuries for the natural resources comprising the Downstream Area. The range of
information for each resource category was reviewed relative to the Work Plan objectives and specific
questions discussed above. Additional supporting information (including specific study/data references)
is presented on a reach-by-reach basis in Section 6.2 in conjunction with a characterization of injury.
Surface Water Resources
Review of the literature and the electronically compiled data shows that a substantial amount of
surface water quality data are available for most reaches in the Downstream Area. The data were
determined to be sufficient to characterize the level of natural resource injury. The review indicates that
the data are well distributed spatially and temporally, including before and after treatment at the Yak
Tunnel and LMDT. Most importantly, sufficient data exists to assess conditions of the surface water
within the last few years. Data are available from both the seasonal high and low flow periods at many of
the reaches. While the data over the 125-mile section of the Downstream Area are not as extensive as
those for the 11-mile reach, the level of resolution provided is consistent with major changes in flow rates
and setting.
Available historical and recent data were compared to Colorado's TVSs for the Arkansas River.
This comparison showed exceedances of the TVSs for cadmium, copper, lead, and zinc within the
Downstream Area, which defines a natural resource injury based on the regulations. On average,
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concentrations of dissolved metals decrease from Leadville to Pueblo Reservoir, with the majority of TVS
exceedances occurring primarily upstream of Lake Creek and prior to the treatment of mine drainage in
the Leadville area. It is evident that median concentrations of most metals have decreased significantly
since water treatment began. More recent exceedances of TVSs are infrequent and of a lower magnitude
than historical exceedances. Comparison of the recent data against the State's TVSs provides a
conservative estimate of the potential for aquatic community-level effects. This comparison to the TVSs
along with current biological conditions and further comparision to Reach 0, suggests that acute toxicity
is not occurring in the 125-mile Downstream Area. Based on review of both sediment and water quality
studies, it appears that the most significant source of metals (primarily cadmium, copper, iron, lead,
manganese, and zinc) to the Upper Arkansas River has been, and continues to be, the Leadville Mining
District. Current levels of dissolved metals in the Downstream Area can primarily be related to water
quality in California Gulch.
As stated above, the record of water quality data spans the dynamics of high and low flows across
several years. Some reaches contain more data than others. Comparisons between data sets for upstream
and downstream locations were conducted to observe if changes in water quality occurred within
intermediate reaches. Given the amount of data, as well as its spatial and temporal resolution, it is not
expected that additional surface water quality data would provide any new or different information than
those already available for the purpose of injury determination. Likewise, additional information for
water quality is not expected to provide new thoughts on how restoration might need to proceed. Based
on this evaluation, no additional surface water quality data are recommended for collection to assess
injury or for restoration planning in the Downstream Area.
Sediment Resources
Spatially, the coverage of sediment quality data for the 125-mile Downstream Area is adequate
considering the large distance. Kimball et al. (1995) sampled twice (fall 1988 and spring 1989) at 12 sites
from downstream of the 11-mile reach to just upstream of Canon City. Church etal. (1994) collected
several sediment quality samples during February 1994, including 15 samples from the end of the 11-mile
reach to Pueblo Reservoir. McCulley Frick and Oilman, Inc. (1990) collected 10 samples on one
occasion during April 1989, ranging from the bottom of the 11-mile reach to Florence. Ruse (2000)
sampled one time during fall 1989, sampling 11 sites from the bottom of the 11-mile reach to Portland.
Based on the review of available sediment quality data, the locations where samples were collected
suggest that spatially, a reasonable amount of sediment quality data are available, while temporally, the
amount of data are more limited. More recent sediment quality data (e.g., within the last two years) were
not found. However, the temporal span of the data brackets the period before and after treatment at the
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Yak Tunnel and LMDT, which has been shown to be an important transition in the basin relative to
changes in metals concentrations (Figure 6-2). Generally, sediment metal concentrations show decreasing
trends from upstream to downstream. With respect to Reach 0, concentrations are elevated for most of
the metals to about Reach 6 and from there through Reaches 7 and 8, only zinc is elevated above those
concentrations in Reach 0. By Reach 9, all four metals concentrations in sediments are lower than those
observed in Reach 0.
Kimball et al. (1995) data provide evidence that the current sediment quality is largely a function
of colloidal deposition and resuspension and can therefore be tied to current water quality. California
Gulch is currently the largest source of metals, and sources in that drainage have not yet been fully
remediated. Clearly, mine-wastes have been transported to and within the river to varying downstream
locations, but most all of these (i.e., identifiable deposits) are located within the 11-mile reach (URS
1998). However, overall (and particularly above Canon City), the Arkansas River is a low sediment-
transport system.
Evaluation of available sediment data in terms of their usefulness for defining injury is not as
straightforward as for surface water. Although the regulations do not provide numerical criteria, sediment
concentrations found in the control area (Reach 0) provide a point of reference. However, in a setting like
the Arkansas River, consideration must be given to the fact that large portions of the system with the
greatest potential for elevated sediment concentrations are of high gradient and have limited capacity to
store sediment; therefore, the .importance of this pathway is limited. The work of Kimball et al. (1995)
and others is another consideration when evaluating the need for additional sediment data. It is important
to recognize that future sediment contamination is more likely a function of water quality rather than
erosion of any mine-wastes within and below the 11-mile reach. Releases of metals from the California
Gulch Superfund Site will have the greatest influence on future sediment concentrations.
Correspondingly, water quality monitoring within the 11-mile reach would provide the greatest level of
information on downstream sediment injury potential, as well as on the need for restoration. Given the
present amount of information and its utility in assessing injury and planning for restoration, no additional
sediment quality data are needed.
Groundwater Resources
Limited data were found in the open literature and in the compiled electronic database. Thus, the
spatial and temporal coverages of data are sparse. The Safe Drinking Water Information System
(SDWIS) database contains information that States must report to USEPA as required by the Safe
Drinking Water Act. These requirements take three forms: maximum contaminant levels (the maximum
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level of a specific contaminant that can occur in drinking water), treatment techniques (specific methods
facilities must follow to remove certain contaminants), and monitoring and reporting requirements
(schedules utilities must follow to report testing results). States report any violations of these three types
to USEPA.
Based on knowledge of the hydrology of the 11-mile reach, the lack of significant mine-waste
deposits downstream, and the fact that drinking water supply wells within the 11-mile reach meet MCLs,
groundwater is not a concern for injury in the Downstream Area. The SDWIS database along with
information from the 11-mile reach confirms that groundwater resources have not been injured.
Groundwater data may also be available from other regulatory programs, such as the CERCLA smelter
sites in Salida and Canon City. However, it is not expected that these or any other additional data are
needed for injury determination or restoration planning.
Geologic Resources
The BLM sampled soils in the Downstream Area in July 2000 along transects at 18 separate
locations (Figure 6-3). Total metal concentrations were determined for lead and zinc at all sites and for
cadmium and copper for a subset of these sites. Plant-available metal concentrations were not determined
for soils in the Downstream Area. However, total metal concentration is below levels of concern. The
BLM soils data are limited spatially, since only 18 locations were sampled along 125 miles of river
between Two-Bit Gulch and Pueblo Reservoir. However, it is unlikely that additional soil sampling
would yield different results. Additional soils data are therefore not needed for injury assessment or
restoration planning, except where mine-waste deposits occur in Reach 5.
Vegetation
There are no spatial or temporal data for vegetation. For similar reasons as stated for wildlife
below, there is no realistic concern about injury to this resource. The limited areas for recent deposition
of mine-waste indicate that the potential for storage of metals-enriched soils/sediments is low, hence no
significant pathway for metals transfer to vegetation exists. Additional information is not required for
injury determination or restoration planning.
Benthic Macroinvertebrates
There are no individual macroinvertebrate surveys for the Downstream Area that are both
spatially and temporally comprehensive. The available studies either focus on long term data from a
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specific station (e.g., station AR-8 in Buena Vista) or were conducted at numerous locations over a
limited time period. Long term monitoring at station AR-8 (Reach 6) near Buena Vista showed dramatic
improvements in benthic macroinvertebrate communities over the past 10 years, corresponding to
significant reductions in metal concentrations (Clements et al. 2002). These data suggest that injury to
benthic macroinvertebrates occurred in the past, but that the system has since recovered with
improvements in water quality. Recent surveys show that community composition and abundance of
sensitive species in Reach 6 are similar to those observed in Reach 0, the control area. Because this
station is located at the upper end of the Downstream Area, it is unlikely that additional monitoring would
detect significant impacts further downstream.
Although several spatially extensive surveys conducted in the Downstream Area showed
differences in community composition as far downstream as Salida, these differences are unlikely due to
metals exposure. Compared to the 11-mile reach, spatially and temporally extensive benthic
macroinvertebrate data in the Downstream Area are limited. Despite these limited data, additional
benthic macroinvertebrate monitoring in the Downstream Area is not required to further define injury or
plan for restoration.
Fish
There are fish population data for various sites in the Downstream Area dating back to 1981, but
not all stations have been sampled consistently, making it difficult to evaluate temporal trends. The most
consistent fish population data have been collected at the Wellsville station below Salida. Evaluation of
population data for the Wellsville station does not show statistically significant differences in total
biomass relative to control values both "before" and "after" water treatment. However, comparisons
among age classes were not done, and further analyses of existing data may be warranted. Based on the
improvements seen in water quality and the potentially confounding influence of regulated flows and
other factors, collecting additional fish population or community data in the Downstream Area would not
be helpful for injury characterization or restoration planning. A general understanding of the ongoing
potential for injury to fish can be derived from comparisons of water quality data to toxicity values from
the published literature. From a restoration perspective, it is quite clear that addressing the large issues of
source control in California Gulch would have the largest potential for restoration benefits in the
Downstream Area.
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Wildlife Resources
Assessment of the existing literature revealed that two bird studies have been conducted for the
Downstream Area. Both studies focused on evaluating metals exposure and potential injury. The tree
swallow study data shows that the birds are being exposed to lead and that ALAD suppression is
occurring, but not to the extent of defined injury. Based on ALAD suppression, injury was documented
in American dippers from Balltown to Granite. At all other sites downstream of Granite, ALAD
suppression is occurring but not to the extent of defined injury.
At present, the only substantive wildlife data available are for birds. Spatially, there is enough
data to define the effect of metals on birds in the Downstream Area. There are one to three years worth of
data, which are expected to be adequate for characterizing current injuries. Based on more detailed
sampling within and above the 11-mile reach, injury to the most sensitive species such as dippers can be
linked to water quality. Additional exposure data would not be more helpful for injury determination or
restoration planning.
No mammalian toxicological data are presently available in the Downstream Area. In addition,
very little data exists that could be used to determine possible exposure and the potential for injures using
a risk-based approach (i.e., soils and vegetation). Additional data are not necessary to assess potential
injury due to the fact that potential for injury in the 11-mile reach is linked to the presence of mine-waste
deposits. The Downstream Area has a lower potential for injury to wildlife resources based on its
distance from the primary source area in Leadville, limited areas of deposition, and diminishing
concentrations in media of concern.
There are many sources of information that are relevant to characterizing the past and present
level of injury in the Downstream Area. As would be expected, the spatial and temporal coverages of the
data vary between resources. Knowledge gained through a detailed characterization of the 11-mile reach
and upstream areas helps to put the question of injury in the Downstream Area into perspective.
Available information for the 11-mile reach indicates that, other than in discrete areas where relatively
undiluted mine-waste deposits have resulted in high floodplain soil/sediment metals concentrations, the
primary potential for injury is to the aquatic system. Absence of significant deposits of mine-waste in the
Downstream Area limits the potential for injury beyond the aquatic system. Available information
indicates that present injuries within the aquatic system would most likely be linked to metals emanating
from the California Gulch Superfund Site and that dilution and attenuation greatly limit the potential for
injury below the confluence with Lake Creek. Therefore, although additional detailed studies in the
Downstream Area may provide some refinement as to the potential for injury, such information would not
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enhance the level of understanding and would not be useful for restoration planning. For these reasons,
additional studies are not recommended. This view is also based on the practical perspective that for such
studies to be of any additional value, they would have to be conducted at a very fine spatial scale over
many years. Even then the ability to place such study results into the overall context of basin conditions
is questionable. The relationship of California Gulch to downstream water quality makes consideration of
long-term monitoring of water quality, a more insightful approach than near-term efforts focused on
defining the potential for a specific injury.
6.2 Characterization of Injury
This section presents a summary of the information available to characterize injury within the
Downstream Area. A determination of injury is first discussed by resource followed by an evaluation of
injury for that resource. Specific studies discussed in this chapter are cited throughout and a bibliography
that provides a complete listing of relevant information is included as Appendix A, Appendix Ci and
Appendix C^.
Approach
This characterization was conducted using the available literature as well as the composite of
chemical and physical data to assess the nature and extent of contamination. Correspondingly, this
characterization builds upon the detailed base of knowledge developed for the 11-mile reach. In terms of
injury to natural resources, information on downstream conditions is considered in conjunction with
findings of injury and the cause of any injuries within the 11-mile reach. Within the 11-mile reach, the
primary cause of any identified injuries are poor water quality attributable to metals from upstream (e.g.,
California Gulch) and fluvial mine-waste deposits. These causes diminish with distance downstream
within and below the 11-mile reach. Consistent with these findings, the primary focus for the
Downstream Area is on water quality and the presence of fluvial mine-waste deposits. These two
resource characteristics provide a fundamental means of assessing the potential for downstream injury.
However, as discussed in the following text, information on related biological resources are considered.
Given the differences in setting, Pueblo Reservoir is discussed separately.
In order to better understand the various environmental settings and flow regimes along the length
of the UARB and as a means of recognizing the areas with larger potential for injury, the geomorphology
of the river was characterized. The characterization focuses on identifying changes in stream flow and
the morphology types that have the highest potential for storing sediments and mine-wastes (i.e.,
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significant depositional areas). This approach is based on the findings for the 11-mile reach, where
metals loading from upstream sources and fluvial mine-waste deposits were identified as the primary
pathway for injury. At the same time, the existing literature and supporting data were evaluated by
natural resource category, paying special attention to water quality and aquatic biological resources.
To better characterize surface water quality (cadmium, copper, lead, and zinc concentrations) in
the Downstream Area, the river was divided into reaches based on major changes in hydrology and
geomorphology (Figure 6-1). Based on these attributes, the following reaches were defined:
• Reach 5 - Reach 5 extends from the confluence of Two-Bit Gulch, which is the
downstream limit of the 11-mile reach, to the confluence of Lake Creek. Lake Creek
delivers a large amount of trans-basin water to the Arkansas River. The river in Reach 5is in a narrow valley that is flanked by high terraces.
• Reach 6 - Reach 6 extends from the junction of Lake Creek to the junction of ChalkCreek at the upstream extent of Browns Canyon. The upstream limit of this reach isdetermined by the large discharge contributions from Lake Creek, and the downstreamlimit is based upon the geomorphic change from open valley with terraces to a canyon.
From the Lake Creek confluence to Princeton (Harvard Lakes quadrangle), the river is ina canyon, but from Princeton to Chalk Creek, it flows in an open valley with terraces.
• Reach 7 - Reach 7 extends from Chalk Creek to the junction of the South Fork ArkansasRiver. The upstream limit is determined by the geomorphic control of Browns Canyon,and the downstream limit is determined by the discharge contribution of South ForkArkansas River. The river is in a deep canyon (Browns Canyon) from about 2 milessouth of Chalk Creek to about Browns Canyon (Salida West quadrangle), where it is
confined by terraces to about Squaw Creek, where it then flows in an open valley with afloodplain to Salida and to the confluence of South Fork Arkansas River.
• Reach 8 - Reach 8 extends from the confluence of the South Fork Arkansas River toCanon City. The reach is primarily a canyon composed of the Arkansas River and Royal
Gorge, but the valley widens at Wellsville, between Howard and Coaldale and atParkdale. In the wide sections, the river is flanked by terraces.
• Reach 9 - Reach 9 extends from Canon City to Pueblo Reservoir. This reach ischaracterized by an open valley with a floodplain. The change from canyon to openvalley at Canon City is dramatic.
• Reach 10 -Pueblo Reservoir including the Arkansas River downstream of the reservoir
to approximately 1.5 miles downstream of Pueblo Dam. (This additional area was
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included due to the limited amount of data found for the reservoir and to assess if metals
appear to be transported from the reservoir.)
Using the surface water data compiled into the database and the reaches described above,
summary statistics and graphics were developed to aid in assessing the temporal and spatial trends.
6.3 Geomorphology
The morphology of the Downstream Area is highly variable over it's 125-mile length. However,
based upon study of U.S. Geological Survey (USGS) topographic maps, soil survey maps (Wheeler et al.
1995; Fletcher 1975), and field observations, it was possible to identify different valley types for which a
characterization could be made of the potential for mine-waste storage in each. The river flows through
three diverse valley types:
1. Canyons (Browns Canyon, Arkansas River Canyon, and Royal Gorge);
2. Open valleys with high terraces (north and south of Buena Vista); and
3. Open valleys with floodplains (downstream of Canon City) (the 11-mile reach is of this
type).
Available information and field observations indicate the following:
• Canyons: Resistant bedrock is the dominant factor controlling channel characteristics in
the canyons. Nevertheless, the channel may be flanked by a narrow high terrace and a
low discontinuous bench, and vegetated islands may be present in the channel. However,
the confined channel is an efficient conduit of sand-size and finer sediment, and the
potential for mine-waste storage is low. Of the approximately 125 miles of the
Downstream Area, about 47 miles or 38 percent of linear channel is canyon-bound.
Canyon valley types were identified in the Downstream Area at the following locations:
- Granite Quadrangle, downstream from 1 mile below Kobe;
- South Peak Quadrangle;
- Nathrop Quadrangle, Browns Canyon Quadrangle;
- Salida East Quadrangle, from Cleora downstream;
Howard Quadrangle, downstream to T49N, R10E, Sec 34;
- Cotopaxi Quadrangle, downstream from Gobblers Knob;
Arkansas Mountain Quadrangle;
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- Echo Quadrangle, downstream from 1 mile below Texas Creek;
- Mclntyre Hills Quadrangle, downstream to Parkdale Siding; and
- Royal Gorge Quadrangle.
• Open Valleys with High Terraces: Canyons lead to broad basins, which contain alluvium
that forms high terraces that confine the river. As in the canyons, discontinuous benches
and islands formed of modern alluvium exist. However, the confined channel is an
efficient conduit of sand and finer sediments, and the potential for mine-waste storage is
low. Of the approximately 125 miles of channel in the Downstream Area, about 45 miles
or 36 percent of linear channel is confined by high terraces. Locations where high
terraces are present are identified below:
- Harvard Lake Quadrangle;
- Buena Vista West Quadrangle;
- Buena Vista East Quadrangle, downstream to T145, R78W, Sec 33;
- Nathrop Quadrangle, downstream to Browns Canyon;
Salida West Quadrangle, downstream to T50N, R8E, Sec 22;
- Salida East Quadrangle, downstream to Cleora;
Howard Quadrangle, downstream from T49N R10E Sec 34;
Coaldale Quadrangle;
- Cotopaxi to Cobblers Knob Quadrangle;
- Echo Quadrangle, downstream to 1 mile below Texas Creek;
- Mclntyre Hills Quadrangle, downstream of Parkdale Siding; and
- Royal Gorge Quadrangle, downstream to Parkdale.
• Open Valleys with Floodplains: In open valleys, where the channel has a floodplain and
the potential for mine-waste storage is high, the channel is adjustable and capable of
shifting laterally. Locations where floodplains are present are identified below:
Buena Vista East Quadrangle, T14S, R78W, Sees. 33, 34 and T15S, R78W, Sees.
4,3;
Salida West Quadrangle from T50N, R8E, Sec. 22 downstream;
- Canon City Quadrangle;
- Florence Quadrangle;
Pierce Gulch Quadrangle; and
- Hobson Quadrangle.
As described above, of the approximately 125 miles of channel in the Downstream Area, about 33 miles
or 26 percent of the distance has a potential for mine-waste storage. These areas include:
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• A 1.6-mile reach downstream of Buena Vista;• A 5-mile reach upstream of Salida; and• Downstream of Canon City into Pueblo Reservoir.
The potential for mine-waste storage is greatest in the lower downstream portion of the 125-mile
reach, including Pueblo Reservoir. With the exception of approximately 1.6 miles of river downstream of
Buena Vista and approximately 5 miles of river upstream of Salida, mine-wastes released from the 11-
mile reach are most likely flushed through the canyon- and terrace-bound reaches of the river to the wide,
alluvial reach downstream of Canon City and to Pueblo Reservoir.
The significant areas of potential sediment (and mine-waste) storage are as follows (Figure 6-4):
Buena Vista East Quadrangle (Figure 6-5): T14S, R78W, Sec. 33; T15S, R78W, Sees. 3,
4 (Champion SWA - Cogan Property).
• Salida West Quadrangle (Figure 6-6): T50N, R8E, parts of Sees. 22, 23, 26, 25, 36, 31,32 (From Spiral Drive upstream for approximately 5 miles).
• Canon City Quadrangle (Figure 6-7): A narrow floodplain flanks the channel from
Canon City to the east.
• Florence Quadrangle (Figure 6-8): A narrow floodplain flanks the channel through
T19S, R69W, Sec. 9, 16, 15, 14. In Section 13, the floodplain widens significantly, and itcontinues to be wide across the Pierce Gulch and Hobson Quadrangles to the Pueblo
Reservoir.
6.4 Surface Water
According to NRDA regulations (43 CFR 11), surface water, suspended sediments, and bed,
bank, and shoreline sediments comprise the surface water natural resource. Although part of the surface
water resource, instream sediments are discussed separately. To the extent possible, water quality data
from the individual studies cited are included in the electronic database and are combined with the data
from other sources (e.g., STORET, CDPHE, and other state and regional data sources) to assess the
spatial attributes and temporal dynamics of the resource.
Summary statistics were calculated and are summarized in Tables 6-1 through 6-6 for dissolved
and total metals to assess the spatial and temporal trends of metals in Arkansas River surface waters.
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These summary statistics are divided by metal, form of the metal, reach, and flow condition. Metal
concentrations measured during Period 3 were used to assess recent conditions as well as to evaluate
injury potential to surface waters due to exceedances of TVSs. Based on this assessment, the following
trends emerged:
• When data from all time periods for a metal are considered, it appears that seasonal high
flows are accompanied by higher concentrations of metals in Reaches 5 to 9 than those
observed during low flows. When data from all time periods are considered, dissolvedcadmium, copper, and zinc show a steady decline in concentration from upstream to
downstream to Reach 8, followed by an increase in Reach 9. Dissolved lead decreasesfrom Reach 5 to 6, then it gradually increases from Reach 6 to 9.
• In contrast, when only Period 3 (1992-present) data are considered, all high-flow mean
concentrations show a steady decrease in concentration from Reaches 5 to 9.
• Based on the mean concentrations of metals, the frequency and magnitude of TVS
exceedances for all metals generally declines in the Downstream Area reaches when
compared to those exceedances observed in Reaches 1 to 4. No samples for any metalexceed their respective TVSs in Reach 9 upstream of Pueblo Reservoir during Period 3
(1992 to present) and, likewise, no exceedances occurred in the Reservoir after 1992.
Thus, it appears that the combination of attenuation, dilution due to tributary inflows,increased hardness that increases TVSs, and treatment at the Yak Tunnel and LMDT
have all positively affected the Upper Arkansas River.
6.4.1 Supporting Information
The U.S. Geological Survey conducted a water quality assessment of the Arkansas River Basin
that described spatial and temporal variations in water quality during the period 1990-1993 (Ortiz et al.
1998). The data for this assessment are reported separately in Dash and Ortiz (1996). They collected
water quality data between the LMDT and Pueblo Reservoir at 10 mainstem sites, 12 tributaries, and 2
mine drainage sites. Samples were analyzed for dissolved solids, major ions, trace elements, nutrients,
and suspended sediments. Based on previous water quality data, they selected cadmium, copper, iron,
lead, manganese, and zinc as the primary trace elements of concern. In addition, water samples collected
five times at four sites were analyzed for arsenic, chromium, mercury, nickel, selenium, and silver. The
investigators reported that drainage from abandoned mines and mine tailings was the primary cause of
elevated trace element concentrations in the Upper Arkansas River Basin. They concluded that dissolved
trace element concentrations in the upper basin generally decreased from Leadville to Portland.
Following the completion of the water treatment facilities at the LMDT and Yak Tunnel, a statistically
J:\010004\Task 3 - SCR\SCR_currentl .doc 6-13
significant decrease in concentrations of cadmium, copper, manganese, and zinc was observed at several
downstream mainstem sites. Tributaries sampled did not provide significant metals loads to the Arkansas
River. Water quality standards for trace elements were exceeded in several water samples, but the
majority of exceedances occurred prior to water treatment. Other studies reviewed reported water quality
data that generally supported the conclusion of Ortiz et al. (1998). They include Crouch et al. (1984),
McCulley, Frick and Oilman Inc. (1990), Wetherbee et al. (1991), Clark and Lewis (1997), and Ruse et
al. (2000).
Review of the available literature suggests the following:
• Cadmium, copper, iron, lead, manganese, and zinc have been identified as exceeding
either acute or chronic aquatic life standards at one or more locations over the entire
period of record (Dash and Ortiz 1996; Ortiz et al. 1998).
• The Leadville Mining District is the primary source of metals affecting water quality and
sediments in the Downstream Area. While there are local sources contributing metals
loads to tributaries of the Arkansas River, none of the tributaries are currently a
significant source of metals to the mainstem (McCulley, Frick and Oilman Inc. 1990;
Church et al. 1994; Kimball et al. 1995; Ortiz et al.1998; Church et al. 2000).
• The majority of aquatic life water quality standard exceedances occurred prior to water
treatment at the LMDT and Yak tunnel (Dash and Ortiz 1996; Ortiz et al.1998).
• Partitioning of metals in the water column from the aqueous dissolved phase to
particulate phase actively occurs, especially within the first 10-20 miles downstream of
the 11-mile reach, thus decreasing the bioavailability of metals in the water column
(McCulley, Frick and Oilman Inc. 1990; Kimball et al. 1995).
• During high flow, colloids are resuspended and transported downstream and contribute to
the elevated dissolved metals concentrations observed during high flow and storm events.
Colloidal-size particles pass through the filter size, 0.45 urn, used for dissolved metals
samples, but they are not necessarily considered to be bioavailable (Kimball et al. 1995;
Ortiz et all998).
• When compared to aquatic life standards, arsenic, chromium, mercury, nickel, and
selenium do not occur in significant concentrations in the Downstream Area (Dash and
Ortiz 1996; Ortiz et al. 1998).
Review of the surface water data compiled in the database for the four metals for Reaches 5
through 9 are shown below (Tables 6-1 through 6-3).
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JLV^Q ii ^
Given the small size of the reach, limited data are available. Available data were collected from
1975 to 1999 for all four metals from two stations. This represents all of the data available in the
database for cadmium, copper, lead, and zinc regardless of the time period considered. Based on the
mean dissolved metal concentration data for all Periods combined, metals in Reach 5 remain higher than
in the downstream reaches, yet generally remained similar or decreased in concentration compared to
upstream concentrations (measured in Reach 3).
During Period 3, mean concentrations of all dissolved metals were greater during high flow
relative to low flow concentrations. Dissolved cadmium exceeded the TVSs only once during high flow,
and dissolved copper exceeded the chronic TVS in this reach once during low flow. Lead exceeded the
chronic TVS during high flow only, while zinc exceeded acute TVSs during both high and low flows.
Compared to Reach 0 during Period 3, mean dissolved cadmium was lower, copper and lead were slightly
elevated, and zinc was considerably higher in Reach 5 during both flow conditions.
Reach 6
Water quality data were abundant for Reach 6. Almost all the data available in the database for
cadmium, copper, and lead were collected between 1986 and 2000. Zinc data were found as far back as
1968, extending to 2000. A small amount of data are available from 1968 to 1975 and the concentrations
are variable, whereas the largest proportion of the data for zinc were collected between 1986 and 1999.
While no clear trends are observable for zinc, the highest zinc concentrations were collected in 1968-
1969.
Across all time periods and flow conditions, dissolved cadmium, copper, and lead averaged less
than concentrations measured in Reach 5, while zinc averaged slightly greater in Reach 6 relative to
Reach 5.
During Period 3, dissolved concentrations of all four metals exceeded TVSs during both high and
low flows. Copper and lead primarily exceeded the acute TVSs, while cadmium and zinc exceeded the
acute TVSs during high and low flows. Compared to Reach 0 mean dissolved metals concentrations
during Period 3, cadmium, copper, lead, and zinc were lower in Reach 6 during both flow conditions.
Due to inflows from Lake Creek, hardness is reduced during both high and low flows relative to the
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higher hardness values observed in Reach 0 and other upstream reaches, which results in lower TVSs in
Reach 6.
Reach 7
Across all time periods and flow conditions, data for cadmium, copper, and lead were collected
primarily from 1986 to 2000, while for zinc the same time span applies with additional samples being
collected 1968, 1969, and 1975. Considering all the data, mean dissolved cadmium, copper and lead were
slightly higher in Reach 7 compared to Reach 6, while zinc was slightly lower.
During Period 3, dissolved concentrations of copper, lead, and zinc exceeded TVSs during both
high and low flows on more than one occasion. Cadmium exceeded the TVSs only once during low
flows. Copper exceeded the acute TVSs during both flow conditions, while lead only exceeded the
chronic TVSs during both flow conditions. Zinc exceeded the acute TVSs during high and low flows.
Reach 8
For dissolved cadmium, data were collected from 1981 to 1998. For dissolved copper, lead, and
zinc, data were collected from 1975 to 1998. Across all flow conditions and periods, average dissolved
cadmium, copper, lead, and zinc were lower in Reach 8 than average concentrations in Reach 7.
During Period 3, dissolved concentrations of copper, lead, and zinc exceeded TVSs during high
flows on more than one occasion, while only lead and zinc exceeded TVSs more than once during low
flows. Copper exceeded the acute TVSs during high flow, but only exceeded the chronic TVS once
during low flows. Lead exceeded the chronic TVS during both flow conditions. Zinc exceeded the acute
TVSs during high and low flows.
Reach 9
For all metals, dissolved data were collected from 1979 to 1997. Across all flow conditions and
periods, average dissolved metals concentrations in Reach 9 were higher than metal concentrations in
Reach 8.
During Period 3, dissolved concentrations of cadmium, copper, lead, and zinc did not exceed
TVSs during either high or low flows. Higher hardness values in Reach 9 (resulting in higher TVSs) and
some lower metal concentrations, result in no exceedances.
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6.4.2 Summary of Injury Findings: Analysis of Exceedances of Table Value Standards (TVSs)
during Period 3
• Surface water resources in Reach 5 are injured primarily due to concentrations of
dissolved lead and zinc during high flows and zinc during low flows.
• The December 2000 CDPHE Status of Water Quality Report indicates that the ArkansasRiver from Lake Fork to Lake Creek is fully supporting its designated recreational and
agricultural uses and partially supporting its aquatic life uses.
• Surface water resources in Reach 6 are injured due to concentrations of dissolved
cadmium, copper, lead, and zinc during both high and low flow conditions.
• The December 2000 CDPHE Status of Water Quality Report indicates that the Arkansas
River below Lake Creek is fully supporting its designated uses.
• Surface water resources in Reach 7 are injured due to concentrations of dissolved copper,
lead, and zinc during both high and low flow conditions.
• Surface water resources in Reach 8 are injured due to concentrations of dissolved copper,lead, and zinc during high flows and lead and zinc during low flows.
• No surface water injury occurs in Reach 9 due to concentrations of cadmium, copper,lead, or zinc during either high or low flow conditions.
• The spatial extent of injury to surface water in the Downstream Area extends from Two-
Bit Gulch to Canon City.
6.5 Instream Sediments
The evaluation of instream sediment information is relative to concentrations observed in the
control area (Reach 0) as well as spatial trends with distance from the Leadville Mining District. Overall,
instream sediments are not viewed to be a significant pathway for injury. The low potential for storage of
instream sediments within Reaches 5, 6, 7, and 8 limits the potential for water quality effects and
biological exposure. This is further supported by the general trend of decreasing metal concentrations
with distance from sources and the good condition of the benthic macroinvertebrate communities.
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6.5.1 Supporting Information
The most comprehensive sediment study was a three phased study conducted by the USGS. This
study documented California Gulch as a metal source to the Arkansas River from Leadville to Pueblo
Reservoir. It further determined that the California Gulch site was the primary metal source to Arkansas
River sediments.
Phase I of this study was initiated in July 1993 to examine the distribution of elements in sediments
from the Arkansas River Basin (Church 1993). The objective of the study was to determine the origin and
time-of-deposition of fluvial mine-waste deposits in the Arkansas River immediately downstream of the
confluence with California Gulch. They sampled the Arkansas River and its major tributaries to evaluate the
contribution of lead from each of the potential sources. Cores of river sediments were taken at selected sites
along the Arkansas River to provide sedimentological and geochronological control. They concluded that the
mine-wastes in the Arkansas River below California Gulch are predominantly from California Gulch.
Studies of lead in cores taken from this same area show sediment intervals beneath the mine-waste deposits
that pre-date mining activity in the Leadville area.
In phase II of the study, geochemical data were retrieved from numerous geologic studies
conducted over the last several decades in order to prepare geochemical maps showing the distribution of
copper, lead, and zinc in the upper Arkansas River Basin (Smith 1994). As a result of this work, they
identified ten additional lead source areas in the Arkansas River Basin which exceed the crustal
abundance of lead by 8-30 times. Potential source areas include historic mining districts and milling and
industrial sites. Using these geochemical maps, they selected seventeen sample sites along the Arkansas
River from Leadville to Pueblo Reservoir for geochemical and lead-isotopic analysis (Church et al. 1994).
They concluded that greater than 90 percent of the lead and zinc load in Arkansas River sediments
between Leadville and the Chalk Creek confluence are from California Gulch NPL site. Lead, zinc,
copper, arsenic, and cadmium were elevated from Leadville to the Chalk Creek confluence compared to
sediments upstream of California Gulch. Lead and zinc are contributed to the Arkansas River by Chalk
Creek, but the total additional metal load is small. Zinc became elevated downstream of Salida,
suggesting an additional zinc source. However, Church (personal communication) later suggested that
because of the lower gradient in the river at this site, the suspended colloidal load partially settles out and
is incorporated into the river bed sediments. Data collected by Kimball et al. (1995) supports this
conclusion.
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In phase III of the study, tributaries to the Arkansas River were sampled to determine whether
additional sources of metal released from historical mining activities elsewhere in the watershed
contribute to the metals in streambed sediment in the mainstem of the Arkansas River. Whereas local
anthropogenic sources were found in some of the tributaries, the measured chemical and lead-isotopic
compositions determined at the mouths of these tributaries indicate that there are not substantial sources
of metals from the tributaries that impact the streambed sediment in the Arkansas River (Church et al.
2000).
McCulley, Frick and Oilman, Inc. (1990) conducted a study in April 1989 of sediments and water
to determine if trends in metal enrichment were consistent with loading from the Yak Tunnel/California
Gulch mining area. They further evaluated the potential for metals to move between the water columnr
and sediments. They determined that cadmium, copper, and zinc remain elevated in sediments (compared
to Arkansas River sediments from upstream of California Gulch) downstream to about Granite. Lead
concentrations remained elevated down to about Brown's Canyon. They also noted elevated metals
concentrations below Salida. Using sequential extractions of sediments and mass balance calculations,
they determined that varying amounts of the aqueous trace metals discharged from California Gulch are
partitioned from the liquid phase to the sediment phase, but that remobilization of trace metals from the
sediment phase to the liquid phase was probably not significant.
Kimball et al. (1995) conducted studies in fall 1988 and spring 1989 to determine the effects of
colloids on metal transport in the Arkansas River. They determined that iron colloids form in California
Gulch and move downstream in suspension. While iron dominated the colloid composition, arsenic,
cadmium, copper, manganese, lead, and zinc also occurred in the colloids. The colloidal load decreased
by one half in the first 30 miles downstream from California Gulch due to aggregated colloids settling to
the bed sediments. However, they determined that a substantial colloid load was transported through the
entire study reach to Pueblo Reservoir, The dissolved metals were dominated by iron and zinc and the
patterns of colloidal iron and zinc suggested that during low flow, dissolved and colloidal loads decrease
downstream as metals partition to the colloidal fraction and the aggregated colloids settled to the stream.
These colloids are resuspended during high flow at the same time that there is a flushing of metals with
snowmelt runoff, creating the greatest metal loads of the year. This same flushing event could occur
during thunderstorm runoff as was seen by Horowitz et al. (1990).
Kimball et al. (1995) suggest that some metals (cadmium, copper, iron, lead, and zinc) are
remobilized as colloids into the aqueous phase during high flow and transported downstream as far as
Pueblo Reservoir. This partitioning is also confirmed by CDOW water sampling reported by USFWS
(1993) and is represented in the water quality data reported by McCulley, Frick and Oilman (1990). Ortiz
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et al. (1998) reported differences in cadmium, copper, lead, manganese and zinc, which can reasonably be
explained by partitioning of colloids between bed sediments and the aqueous phase.
6.5.2 Summary of Injury Findings to Instream Sediments
• Sediment metals data were compiled and found to be present for each of the three periods
of interest. Period 1 and 2 data were only available for Reaches 6-10, while Period 3 data
were available for all of the downstream reaches (Table 6-7).
• Between Periods 1 and 2 there is a substantial shift in metals concentrations. Period 1
data suggest relatively low concentrations of metals compared to upstream concentrations
observed in Reach 0 during the same period as well as during Period 3.
• During Period 2, the shift in metals concentrations, particularly for Reaches 6-8 shows a
sharp increase. For example, Period 1 mean sediment zinc concentrations of 103.2,
195.8, and 98.3 mg/Kg were observed in Reaches 6, 7, and 8 respectively. During Period
2 mean sediment zinc concentrations of 2,813.3, 1,302.5, and 994.2 mg/Kg were
observed in Reaches 6, 7, and 8, respectively. This shift is most likely due to differencesin sampling and analytical techniques.
• Elevated levels of zinc in sediments in the reaches described above are present during
Period 3, but not at the levels observed during Period 2. At Reaches 6, 7, and 8, zinc
concentrations in sediments were 981.1,469.8, and 459.5 mg/Kg, respectively duringPeriod 3.
• During Period 3, the following observations were made for metals compared to those
metals concentrations observed in Reach 0: cadmium, copper, lead, and zinc in sedimentfrom Reach 5 are elevated over those concentrations found in Reach 0; copper, lead, and
zinc in sediments from Reach 6 are elevated over those concentrations found in Reach 0,
but are less than in Reach 5; zinc is the predominant metal in Reach 7 and 8 elevated over
concentrations found in Reach 0, yet is lower than in each subsequent upstream reach;
and by Reach 9 all mean metals concentrations are lower than concentrations observed in
Reach 0.
• It is evident that the overall concentrations of cadmium, copper, lead, and zinc in
sediments are declining, both temporally and spatially. This may be due to the
importance of colloidal metal transport and deposition, which is largely a function of
water quality (Kimball et al. 1995). Metals concentrations in surface waters were
substantially decreased after 1992, due to the implementation of treatment at the LMDT
and the Yak tunnel.
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6.6 Groundwater
A query of all the available data in the database yielded a small amount of data for groundwater
resources in the Downstream Area. Of the groundwater quality data found in the database, all were
collected between 1970 and 2000 (or from Periods 1 and 3). There were no data available for period 2.
There were no data available for Reach 5 or Reach 10. For Reaches 6, 7, 8, and 9 most data were
collected from deep groundwater wells (40'-100') that supply communities or groups of houses. The
following provides a brief summary of the data available for Reaches 6, 7, 8, and 9.
6.6.1 Supporting Information
Summary data discussed for the following reaches, along with detailed information on well
location and type, can be found in Table 6-8.
Reach 6
The data for Reach 6 includes statistical information for total concentrations of cadmium, copper
and lead. There was a total of 12 sampling locations from this reach from which data was retrieved.
There were no exceedances of the MCLs for any of the metals discussed. All data were retrieved from
deep groundwater wells.
Reach 7
The data for Reach 7 includes statistical information for all four metals of concern, with data for
both total and dissolved concentrations for copper and lead. Cadmium data only included total
concentration, while zinc data only included dissolved concentrations. There were a total of 2 sampling
locations in this reach from which data was retrieved. There were no exceedances of the MCLs for any of
the metals discussed. All data were retrieved from deep groundwater wells.
Reach 8
The data for Reach 8 includes statistical information for all four metals of concern, with data for
both total and dissolved concentrations for cadmium copper and lead with only dissolved concentrations
for zinc. There were a total of three sampling locations in this reach from which data was retrieved.
There were no exceedances of the MCLs for any of the metals discussed. Data for this reach were
J:\Ol0004\Task 3 - SCR\SCR_currentl.doc 6-21
retrieved primarily from deep groundwater wells with the exception of some data being retrieved from
wells of unknown depth or type.
Reach 9
The data for Reach 9 included statistical information for only copper, lead and zinc. Only
dissolved concentrations were available for the three metals. All data was retrieved from three different
sampling locations. There were no exceedances of the MCLs for the metals discussed. Data was
retrieved from deep groundwater wells.
6.6.2 Summary of Injury Findings to Groundwater
Based on lack of injury to groundwater within the 11-mile reach and on confirming data for the
Downstream Area, no injury to groundwater has occurred.
6.7 Floodplain Soils
Floodplain soils data (BLM 2000) provide a useful indicator of the impact of mine-wastes
released from the 11-mile reach. Soil sampling in the control area (Reach 0) along with the 11-mile reach
provide a basis for determining potential injury in the Downstream Area from mine-waste storage in the
floodplain. Soils data currently available include total concentrations of cadmium, copper, lead and zinc
at 18 separate locations between Two-Bit Gulch and Pueblo Reservoir.
6.7.1 Supporting Information
Limited soils data for the Downstream Area are available from BLM sampling in July 2000
(Figure 6-3). Soil samples were collected along 18 transects, with approximately 5 sites sampled along
each transect. Soil samples were collected at multiple depths and depths varied with location. All
samples were analyzed for lead, zinc, iron, and manganese. A subset of the samples were also analyzed
for arsenic, cadmium, copper and silver. Samples were analyzed for total metals using XRF or a total
digest procedure. There were no soil samples collected in Reach 5, two transects were sampled in Reach
6, one transect was sampled in Reach 7, nine transects were sampled in Reach 8, and six transects were
sampled in Reach 9.
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Table 6-9 presents a summary of the BLM (2000) floodplain soils data by reach for lead and zinc.
These concentrations are compared to floodplain soils in the control area (Reach 0). The only reach
where zinc concentrations are high enough to indicate the presence of mine-waste or some other
anthropogenic influence is in Reach 6. There were two sample sites (CCT1B and CCT1C) where zinc
concentrations were in the range of 2,000 to 4,000 mg/Kg. These sample sites are at the confluence of
Clear Creek and not an area believed to represent a significant potential for mine-waste storage from the
11-mile reach. No other metal concentrations were high enough in any of the downstream reaches to
indicate the possible presence of mine-waste material.
Reach 5
There are no data available for floodplain soils along Reach 5. Some small.mine-waste deposits
exist in Reach 5, but no data has been collected that characterizes the deposits with respect to surface
area, depth, volume, and chemical properties.
Reaches 6-9
Soil chemistry data exists for floodplain soils along Reaches 6-9 (BLM 2000) (Table 6-9). This
data includes total metal concentrations for lead and zinc for all sites sampled and cadmium and copper
for a subset of these sites. There were approximately 17 transects where soils were sampled along these
reaches.
6.7.2 Summary of Injury Findings to Soils
Although there are no floodplain soils data for Reach 5, field reconnaissance of this stretch of
river confirm the presence of small deposits of mine-waste with low plant cover. It is assumed that soil
metal concentrations and/or pH are affecting plant growth on these deposits, indicating injury to soils at
locations where mine-waste deposits occur.
The elevated concentrations of zinc in floodplain soils at the confluence of Clear Creek (Reach 6)
indicate the potential for injury in this location. The source of these metals may be from historical mining
in the Clear Creek drainage. Total metal concentrations are potentially high enough to cause injury to
soils at this location. However, this cannot be confirmed without further soil sampling and analysis.
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Other than Reach 5 and two sample sites along Reach 6, there is no other evidence to indicate
injury to floodplain soils in the remaining portions of Reach 6 and Reaches 7-9. Floodplain soils are not
considered injured in most of Reach 6 and Reaches 7-9 because metal concentrations along these reaches
are similar to Reach 0 and riparian vegetation does not show signs of metal toxicity.
6.8 Biological
Consistent with the findings for the 11-mile reach, the potential for mining-related injuries is
greatest in aquatic organisms. Information presented in the following sections describes available
information on fish, benthic macroinvertebrates, and two species of birds that depend upon
macroinvertebrates as a food source, as well as considerations regarding vegetation and terrestrial
wildlife.
6.8.1 Vegetation
Currently there is no quantitative vegetation data available for the Downstream Area. Large-scale
vegetation mapping has been conducted but no sampling has been completed to describe plant cover,
biomass, species composition, or metal tissue concentrations below the 11-mile reach.
6.8.1.1 Supporting Information
Information on vegetation in the Downstream Area is limited to field reconnaissance and large-
scale habitat mapping. Inferences regarding injury are primarily based on an understanding of soil
conditions within the 11-mile reach that cause injury to vegetation.
6.8.1.2 Summary of Injury Findings to Vegetation
Data are not available for vegetation cover, production or tissue metal concentrations along Reach
5. Field observations confirm that vegetation is healthy and shows no signs of injury that could be
associated with elevated metal concentrations in floodplain soils. Mapping conducted by the Colorado
Division of Wildlife also indicates that vegetation cover types are consistent with a floodplain setting for
non-injured areas. However, plant growth has been observed to be limited in cover and production on
J:\Ol0004\Task 3 - SCR\SCR_currentl.doc 6-24
several small mine-waste deposits along Reach 5. This limited plant cover and production indicates
injury to vegetation at the few small areas where mine-waste deposits occur in this reach.
Data are not available for vegetation cover, production or tissue metal concentrations along Reach
6-9. However, injury to vegetation in upstream areas is limited to mine-waste deposits. Field
reconnaissance and geomorphologic analyses indicate a lack of mine-waste deposits along Reach 6-9;
therefore, there is no basis to conclude that injury exists to vegetation growing on floodplain soils along
these reaches. Field observations confirm that vegetation is healthy and shows no signs of injury that
could be associated with elevated metal concentrations in floodplain soils. Mapping conducted by the
Colorado Division of Wildlife also indicates that vegetation cover types are consistent with a floodplain
setting for non-injured areas.
6.8.2 Benthic Macroinvertebrates
Benthic macroinvertebrate data provide a useful indicator of the impact from metals in Upper
Arkansas River water. Extensive work conducted in the control area (Reach 0) along with the 11-mile
reach, provide a basis for understanding the relationship between water and the condition of benthic
macroinvertebrate communities. This understanding enhances the value of the existing studies for the
Downstream Area in terms of characterizing injury.
6.8.2.1 Supporting Information
A number of studies have examined the relationship between the abundance of
macroinvertebrates and heavy metal concentrations in the Upper Arkansas River Basin. Additional
studies have investigated the impacts of flow regime and other habitat characteristics on the abundance of
macroinvertebrates.
Clements et al. (2002) conducted a long-term (10-year) research program investigating the impact
of heavy metals on benthic macroinvertebrate communities in the Downstream Area at station AR-8
(Reach 6) from 1989-1999. This assessment included: 1) quantitative measurements of benthic
community composition along a 70 km reach of the upper Arkansas River between Climax and Buena
Vista; 2) measurements of heavy metal concentrations in water and other physicochemical characteristics;
and 3) measurement of heavy metal concentrations in invertebrates. In addition, limited benthic
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macroinvertebrate data are available from several sampling occasions at station AR-7 in the upper section
of Reach 6 at Granite.
Total macroinvertebrate abundance at station AR-8 in Reach 6 of the Downstream Area varied
between 200 and 2000 individuals per 0.1 m2 and was generally greater than in Reach 0 (Figure 2-15).
Total species richness ranged from 11 to 26.6 species per sample and was similar to Reach 0 (Figure 2-
18). Most other measures of benthic community composition, including abundance of metal-sensitive
heptageniid mayflies, were either similar to or greater at station AR-8 compared to Reach 0. The only
exception to this pattern was for species richness of mayflies, which did not recover downstream from
California Gulch (Figure 2-18).
Temporal variation in benthic community composition was compared to changes in water quality
over a ten-year period in order to assess the influence of improvements in water quality below LMDT and
California Gulch. Metal concentrations at station AR-8 (Reach 6) were seasonally variable, with the
highest concentrations measured in spring (Figure 6-13). Total zinc concentrations at this station were
also significantly lower after remediation of California Gulch and LMDT (Figure 6-10). Abundance of
dominant macroinvertebrate groups showed little seasonal or long- term variation (Figure 6-14). The
only exception was total mayfly abundance and stonefly abundance, which gradually increased after
1995. The increase in abundance of mayflies was primarily a result of a steady increase in the number of
metal-sensitive heptageniids (Figure 6-9), which were significantly greater after remediation in 1992
(Figure 6-10). The most consistent pattern in measures of species richness was a decrease in the seasonal
variability in the later sampling periods (Figure 6-11).
Some evidence of recovery was also observed in the upper section of Reach 6 at Granite (stations
AR-7). Prior to treatment of LMDT and California Gulch, benthic communities at AR-7 were comprised
primarily of caddisflies and chironomids (Figure 6-15). Although these metal-tolerant groups dominated
benthic communities after 1993, abundance of mayflies and stoneflies also increased. In particular,
abundance of baetid mayflies increased by approximately 3 times after 1993 and approached densities
observed in Reach 0. While density of heptageniid mayflies also increased during this period, these
metal-sensitive organisms were much less abundant than in Reach 0 or in the lower section of Reach 6
(Buena Vista). Similar patterns in recovery were observed for measures of species richness (Figure 6-16).
Total species richness and richness of most macroinvertebrate groups increased after treatment of LMDT
and California Gulch. However, these values were significantly lower than those observed in Reach 0.
Exposure of benthic macroinvertebrates to heavy metals in the Downstream Area between 1990
and 1999 was assessed by measuring concentrations of zinc in the caddisfly Arctopsyche grandis
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(Trichoptera: Hydropsychidae). Concentrations of zinc in Arctopsyche collected from Reach 6 (Buena
Vista) generally declined over time (Figure 6-12). The only exception to this pattern was a large,
unexplained peak in metal levels during spring 1999.
Statistical analyses of metal levels in Arctopsyche among all reaches before (1990-1992) and after
(1993-2000) remediation of LMDT and California Gulch show highly significant spatial and temporal
variation (Figure 6-17). Metal levels in caddisflies were significantly elevated in Reach 1 and declined
downstream. However, metal concentrations at the two stations in Reach 6 (AR-7 and AR-8) were
significantly greater than in Reach 0. In general, metal levels in caddisflies declined after 1992.
Kiffney and Clements (1993) carried out a one-year study to determine the extent of metal
contamination (cadmium, copper, and zinc) in a benthic community from the Arkansas River. Elevated
levels of metals in benthic organisms paralleled elevated concentrations of metals in the water. Levels of
heavy metals in most dominant species of benthic macroinvertebrates were generally lower in Reach 6
compared to the 11-mile reach. For most species and most metals, concentrations in the Downstream
Area were similar to those measured in Reach 0. The concentration of metals in aquatic
macroinvertebrates was a better indicator of metal bioavailabiliry in the Arkansas River than was the
concentration of metals in the water.
Data collected by the U. S. Fish and Wildlife Service in October of 1995 showed that total
abundance of benthic macroinvertebrates at all stations ranged from 176-1,209 individuals per Surber
sample. Benthic communities at the six upstream stations (above Balltown, Granite Bridge, Fisherman's
Bridge, Highway 291 Bridge, and Stockyard Bridge) were dominated by caddisflies (primarily
Brachycentridae and Hydropsychidae) and dipterans (primarily chironomids), which accounted for
greater than 90 percent of total macroinvertebrate abundance. Mayfly and stonefly abundances were
generally quite low at these upstream stations. In particular, heptageniid mayflies, organisms known to be
sensitive to contaminants, were absent or greatly reduced at these upstream sites. There was a gradual
shift in benthic community composition at the three furthest downstream stations (Valley Bridge, Lone
Pine, Flood Plain), reflecting reduced abundance of caddisflies and increased abundance of mayflies.
Stoneflies and mayflies at the three downstream stations accounted for 33-50 percent of total
macroinvertebrate abundance. Mayfly assemblages at these downstream stations were dominated by
Heptageniidae and Baetidae. The spatial patterns in abundance of dominant groups from upstream to
downstream were similar to those reported by Clements et al. 2002 for Reach 6 (stations AR-7 at Granite
and AR-8 in Buena Vista) and suggest that benthic communities were impacted by metals in 1995. The
more recent data indicate that benthic communities are injured in the upper section of Reach 6, but that
recovery has occurred in the lower section at Buena Vista.
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-27
In 1984-1985, Ruse et al. (2000a; 2000b) found that metal-tolerant species were common within
the 11-mile reach. However, overall species composition at a larger spatial scale (Climax to Pueblo) was
primarily influenced by variables related to the longitudinal gradient of the river (distance downstream,
elevation, latitude, temperatun nd caddisflies did not
increase from upstream to dow / attributed the lack of a
downstream increase in specie n\ \Jk_ ^ Dilation, and temperature.
The results of this study are es ,/\J^n^ 259km). However,
patterns observed at any partic r\SX8Is ;ause these analyses were
based on collections of exuviai Ri «a R>£-«XQ eral days after emergence.
As a consequence, organisms < .—> ,. _^-^M~--ty^axs-«. e tnat emerged fromi<^C§S§3SS23c;;&£2es*ssSfefe_-
distant upstream locations.
!
Nelson and Roline (19 macroinvertebrate
community composition and fl ti and downstream from
the confluence with Lake Creek. Results of an extensive literature review showed that most benthic
macroinvertebrates are adapted to highly variable flow regimes and can tolerate a wide range of
discharge. Results of field studies showed that flow augmentation as a result of trans-mountain diversions
have increased stream discharge below Lake Creek. Although subtle differences in benthic communities
between upstream and downstream sites were detected, most taxa were collected from both locations.
However, these investigators reported that the distribution of one dominant species of caddisfly
(Brachycentrus occidentalis) was closely related to streamflow. Because Brachycentrus is a major
component of the diet of brown trout in the Arkansas River (Winters 1988), impacts of flow variation on
this species may have significant consequences for brown trout growth and condition.
There is a limited amount of lexicological data available for the Downstream Area, most of which
has been collected from the upper sections of the Arkansas River (e.g., Lake Creek to Buena Vista).
Single species toxicity tests conducted with cladocerans (Ceriodaphnia dubia) and fathead minnows
(Pimephales promelus) in 1991 showed some acute effects (for fathead minnows) and chronic effects of
water collected from station AR-8 (Reach 6) in Buena Vista (Figure 2-36). In contrast, experiments
conducted by U.S. EPA between 1991-1993 showed little acute toxicity of Arkansas River water (Table
2-21).
Frugis (1995) compared effects of heavy metals on chironomids exposed to sediments collected
from a reference site (Cache la Poudre River) and station AR-8 in Buena Vista. Percent mortality of
chironomids exposed to sediment from AR-8 (40 percent) was higher than control mortality (24.2
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-28
In 1984-1985, Ruse et al. (2000a; 2000b) found that metal-tolerant species were common within
the 11-mile reach. However, overall species composition at a larger spatial scale (Climax to Pueblo) was
primarily influenced by variables related to the longitudinal gradient of the river (distance downstream,
elevation, latitude, temperature). Species richness of chironomids, stoneflies, and caddisflies did not
increase from upstream to downstream as predicted for Colorado streams. They attributed the lack of a
downstream increase in species richness to the effects of heavy metals, flow regulation, and temperature.
The results of this study are especially useful because of the large spatial scale (259 km). However,
patterns observed at any particular location should be interpreted cautiously because these analyses were
based on collections of exuviae, which may remain on the water surface for several days after emergence.
As a consequence, organisms collected at any particular site may represent those that emerged from
distant upstream locations.
Nelson and Roline (1996) investigated the relationship between benthic macroinvertebrate
community composition and flow characteristics in the Arkansas River upstream and downstream from
the confluence with Lake Creek. Results of an extensive literature review showed that most benthic
macroinvertebrates are adapted to highly variable flow regimes and can tolerate a wide range of
discharge. Results of field studies showed that flow augmentation as a result of trans-mountain diversions
have increased stream discharge below Lake Creek. Although subtle differences in benthic communities
between upstream and downstream sites were detected, most taxa were collected from both locations.
However, these investigators reported that the distribution of one dominant species of caddisfly
(Brachycentrus occidentalis) was closely related to streamflow. Because Brachycentrus is a major
component of the diet of brown trout in the Arkansas River (Winters 1988), impacts of flow variation on
this species may have significant consequences for brown trout growth and condition.
There is a limited amount of toxicological data available for the Downstream Area, most of which
has been collected from the upper sections of the Arkansas River (e.g., Lake Creek to Buena Vista).
Single species toxicity tests conducted with cladocerans (Ceriodaphnia dubid) and fathead minnows
(Pimephales promelus) in 1991 showed some acute effects (for fathead minnows) and chronic effects of
water collected from station AR-8 (Reach 6) in Buena Vista (Figure 2-36). In contrast, experiments
conducted by U.S. EPA between 1991-1993 showed little acute toxicity of Arkansas River water (Table
2-21).
Frugis (1995) compared effects of heavy metals on chironomids exposed to sediments collected
from a reference site (Cache la Poudre River) and station AR-8 in Buena Vista. Percent mortality of
chironomids exposed to sediment from AR-8 (40 percent) was higher than control mortality (24.2
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-28
percent); however, this difference was not statistically significant. There was also no significant effect of
metals in sediment on growth of chironomids.
Figure 2-33 shows results of a laboratory experiment in which chironomids (Chironomus tentans)
were exposed to sediments collected from Reach 6. Despite the fact that metal concentrations in
sediments from Reach 6 were similar to those in Reach 0, concentrations of cadmium, copper, lead, and
zinc in chironomids exposed to these sediments were generally higher in the Downstream Area. These
results indicate that physicochemical factors other than bulk metal concentrations (e.g., grain size, percent
organic carbon) determined metal bioavailability in Reach 6.
6.8.2.2 Summary of Injury Findings to Benthic Macroinvertebrates
Available literature indicate the following regarding injury to benthic macroinvertebrates:
• Cadmium, copper, lead, and zinc concentrations in invertebrates have decreased in Reach6 during the period 1995-1998, and concentrations decrease from upstream todownstream (Table 6-10) (Archuleta et al. 2000).
• Lead concentrations in invertebrates remained elevated in Reach 5 compared toconcentrations in Reach 0 (Table 6-10, Table 2-27) (Archuleta et al. 2000).
• Total macroinvertebrate abundance in Reach 6 (Arkansas River at Granite) in theDownstream Area varied between 200 and 900 individuals per 0.1 m2 and was similar tovalues observed in Reach 0. However, unlike Reach 0 benthic communities weredominated by caddisflies and chironomids (Clements, unpublished data).
• Total macroinvertebrate abundance at station AR-8 in the lower section of Reach 6
(Arkansas River at Buena Vista) in the Downstream Area varied between 200 and 2000individuals per 0.1 m2 and was generally greater than in Reach 0 (Figure 2-15) (CDOW
1998).
• There was a gradual increase in abundance of mayflies after 1995 at both downstreamstations. In the downstream section of Reach 6 (Buena Vista) this was primarily a resultof a steady increase in the number of metal-sensitive heptageniids (Figure 6-9), which
were significantly greater after water treatment began upstream in 1992 (Figure 6-10)
(Clements et al. 2002). In contrast, mayflies in the upstream section of Reach 6 (nearGranite) were dominated by baetids. Although heptageniids increased in the upstream
section of Reach 6 after remediation, abundance of these metal-sensitive species wasrelatively low compared to Reach 0 (Clements, unpublished data).
J:\OI0004\Task 3 - SCR\SCR_currentl.doc 6-29
• Measures of species richness exhibited less seasonal variability in the later sampling
periods (Figure 6-11) (Clements et al. 2002).
• Concentrations of zinc in Arctopsyche collected from Reach 6 generally declined overtime and approached levels measured in organisms collected from Reach 0 (Figure 6-12)
(Clements et al. 2002).
• Heptageniid mayflies, organisms known to be sensitive to contaminants, were absent orgreatly reduced at six upstream site stations in Reaches 5, 6 and 7(above Balltown,
• Mayfly assemblages at three downstream stations in Reach 8 (Valley Bridge, Lone Pine,Flood Plain) were dominated by Heptageniidae and Baetidae (USFWS 1995).
• Levels of heavy metals in most dominant species of benthic macroinvertebrates weregenerally lower in Reach 6 (Buena Vista) compared to the 11-mile reach (Kiffney and
Clements 1993).
• Species richness of chironomids, stoneflies, and caddisflies did not increase fromupstream to downstream (i.e., from Tennessee Creek near the Leadville Mine DrainageTunnel downstream to Pueblo Reservoir) as predicted for Colorado streams. This lack ofa downstream increase in species richness may be attributable to the effects of heavy
metals, flow regulation, or temperature (Ruse et al. 2000a; 2000b).
• Most benthic macroinvertebrates are adapted to highly variable flow regimes and cantolerate a wide range of discharge. However, the distribution of one dominant species ofcaddisfly (Brachycentrus occidentalis) was negatively affected by flow regulation.
Benthic macro invertebrate data are lacking from Reach 5. However, because water quality in
Reach 5 is similar to that observed in Reach 3 (where injury was observed) and because metal levels in
Reach 5 exceed site-specific concentrations known to be toxic to metal-sensitive species, it is likely that
benthic macroinvertebrates are injured in Reach 5.
Analysis of community structure for benthic macroinvertebrates collected at stations AR-7
(Granite) and AR-8 (Buena Vista) in Reach 6 shows significant improvement in species richness,
diversity and abundance of some metal-sensitive species, hi particular, abundance of Heptageniidae at
station AR-8 in the lower section of Reach 6 increased 2-3 times since remediation of LMDT and
California Gulch was initiated in 1992. Abundance of these organisms after 1996 was similar to that
observed in Reach 0. Limited recovery of these metal-sensitive species was observed in the upper section
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-30
of Reach 6. Metal concentrations in the caddisfly Arctopsyche grandis collected from Reach 6 have
decreased since 1994 and are similar to those values measured in Reach 0. The only exception to this
pattern is an unexplained spike in zinc concentration in 1999. Zinc levels in periphyton measured at the
downstream portion of Reach 6 (1,031-1,273 p.g/g) in 1995 and 1996 were also within the range of values
observed in Reach 0 (409-4,200 |o.g/g). We conclude that there is no injury to benthic macroinvertebrates
in Reach 6 near Buena Vista.
Despite improvements in water quality and macroinvertebrate communities over time, data
collected from the upper section of Reach 6 near Granite suggest injury to benthic organisms. Abundance
of metal-sensitive mayflies and species richness of mayflies and stoneflies are significantly lower at
station AR-7 than in Reach 0. Based on a comparison of the upper and lower sections of Reach 6, we
conclude that recovery of benthic macroinvertebrates occurs somewhere between Granite and Buena
Vista.
Few data are available from Reaches 7 and 8 of the Arkansas River, However, microcosm
experiments conducted in 1998 showed that exposure of benthic communities to a mixture of cadmium,
copper, and zinc at concentrations similar to those measured at Reaches 7 and 8 had no effect on
community composition, species richness of mayflies, or abundance of metal-sensitive species.
Quantitative collections of benthic macroinvertebrates by the USFWS showed no spatial trends that could
be related to heavy metals in Reaches 7 and 8, as well as further downstream. Based on these results, we
conclude that there is no injury to benthic macroinvertebrates from heavy metals in Reaches 7 and 8.
Furthermore, the dramatic recovery of benthic macroinvertebrates observed in Reach 6 (Buena Vista)
following remediation of upstream metal sources suggests that injury to benthic macroinvertebrates below
Reach 5 is unlikely.
6.8.3 Fish
The Downstream Area of the Arkansas River supports a naturally reproducing brown trout
population and a growing rainbow trout population, which is supported by stocking (CDOW 1998).
Neither brown nor rainbow trout are native to the Arkansas River Basin, but brown trout have been the
primary fishery management focus for the CDOW. Other fish species present in the Arkansas River
include Snake River cutthroat trout, brook trout, white suckers, and longnose suckers. Fishery related
data currently available include population data based on electrofishing surveys, and limited laboratory
toxicity testing.
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-31
6.8.3.1 Supporting Information
The CDOW has reported results of their population sampling efforts at various sampling stations
since 1981. These data include number of each species captured and lengths and weights for each fish
captured. Sampling stations have been located from just upstream of Granite to downstream at Coaldale.
However, not every station has been sampled every year and some stations are sampled during spring
while others are sampled during fall. The preferred approach to evaluating fish population data or natural
resource injury is to compare total abundance, biomass, and length frequency distributions at downstream
locations to a reference location. However, because the Arkansas River changes both physically and
chemically from the bottom of the 11-mile reach to Pueblo Reservoir, it is difficult to compare
populations upstream to those downstream over the 125-mile stretch. In addition, different sampling
techniques were used upstream (backpack shocking) and downstream (boat shocking). Therefore,
evaluation of temporal trends at each sampling station where sufficient data exists is presented. The most
continuous and extensive data set is available for the Wellsville station, which begins at Wellsville and
extends upstream to the Stockyard Bridge just below Salida. With the exception of 1987 and 1989, this
location has been sampled yearly from 1981 to the present, representing the most continuous and
extensive data set available (CDOW 1999). Additional survey sites include: above Granite, Tezak, Loma
Linda, Coaldale, and Big Bend.
Historically, there was an absence of large brown trout in the Downstream Area, which was
attributed to a variety of factors including metal toxicity, post spawning conditions, and the lack of forage
fish (Nehring 1986). Winters (1988) conducted a detailed investigation of brown trout feeding habits,
growth and condition at a single site approximately 30 km downstream from Salida. He reported that
brown trout fry feed extensively on small, drifting invertebrates (especially Baetis), followed by a switch
to caddisflies in older age classes. He characterized the general condition of brown trout in the Arkansas
River as poor. The high rate of mortality observed in older fish and the absence of+4 age class in the
Arkansas River was attributed to poor or unreliable food quality and the lack of forage fish.
More recently, Policky (1998) reported that brown and rainbow trout are living to an approximate
age of 7 in the Downstream Area. Restrictive regulations (e.g., flies and lures only, 2 fish > 14 inches)
and anglers practicing catch and release has maximized the brown trout population to carrying capacity of
the habitat; therefore, some fish in the Wellsville area are in poor condition.
Based on Instream Flow Incremental Methodology analysis (BLM 2000), when optimum flows
are reached at the Wellsville gage they will consistently protect habitat for all life stages and species of
J:\010004\Task 3 - SCR\SCR_current 1 .doc 6-32
trout from Leadville to Canon City. Fish habitat has an optimum value at a certain velocity and depth.
Trout habitat is optimized from 250 - 450 cfs (at Wellsville gage) throughout the year. Useable habitat
rapidly decreases as flows exceed 550 cfs (BLM 2000), which frequently produce unfavorable habitat
conditions for trout. In addition, macroinvertebrate densities are also influenced by high flows - optimum
velocity values are exceeded above 500 cfs.
On 18 and 19 August 1988, a large fish kill occurred in the Arkansas River following water
releases from Clear Creek Reservoir that had been treated with rotenone on 9 August 1988. Colorado
Division of Wildlife personnel were treating the reservoir with rotenone to eliminate an over-population
of suckers. The fish kill was estimated to have eliminated 100 percent of the fish community for 20 miles
downstream and have significant effects for another 15 miles downstream (USFWS 1988). According to
CDOW reports, brown trout recovered within 5 years and rotenone is not considered a limiting factor for
downstream populations.
6.8.3.2 Summary of Injury Findings to Brown Trout
The following information is related to fish population data collected at the Wellsville station:
• Between 1982 and 1999, the number offish per acre at the Wellsville station has
remained at about 200 fish/acre (based on two-sample T-Test a = 0.05 using data from
CDOW 1999).
• There is no significant difference in the average number offish per acre and average
pounds per acre at the Wellsville station from 1992-1999 compared to 1981-1991 (based
on two-sample T-Test a = 0.05 using data from CDOW 1999).
• There is no significant difference in the average number offish per acre greater than 14
inches at the Wellsville station during the period 1992-1998 compared to 1981-1991
(based on two-sample T-Test a = 0.05 using data from CDOW 1999).
• Adult brown trout in the Wellsville area are in poor condition, probably due to
overcrowding and a lack of sizable forage (Krieger 2000; Policky et al. 2000; Winters
1988).
Brown trout data from Reach 5 are lacking. However, because water quality in Reach 5 was
similar to that measured in Reach 3 (where injury was observed), it is concluded that there is injury to
brown trout in this downstream reach.
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-33
Metal concentrations decrease significantly downstream from Lake Creek, and mean values
approach the regulatory threshold levels in Reach 6 and are consistent with concentrations measured in
the control reach (Reach 0). Significant reduction in abundance (71 percent) and biomass (24 percent) of
brown trout was observed in the upper section of Reach 6 (Granite) compared to Reach 0. Inspection of
length frequency distributions of brown trout also showed relatively poor recruitment in Reach 6, with
few juvenile fish present. The brown trout population in Reach 6 was characterized by reduced overall
abundance but somewhat larger individuals compared to the reference reach.
Because of natural and anthropogenic changes in physical characteristics of the Arkansas River,
particularly flow alterations associated with discharge from Lake Creek, it is possible that flow alterations
immediately downstream from Lake Creek impact fish populations. However, there are no quantitative
data showing direct effects of these flow modifications on brown trout. Although metals concentrations
occasionally exceeded the TVSs downstream from Reach 6, there is no indication of injury to brown
trout.
6.8.4 Terrestrial Wildlife
Information directly describing the potential for injury to terrestrial wildlife is not available for
the Downstream Area. Any assessment for the potential for injury must be based upon a comparison to
the 11-mile reach.
6.8.4.1 Supporting Information
Information describing the presence or absence of injury to terrestrial wildlife for the 11-mile
reach is limited to small mammals. This information indicates that small mammals living in and around
discrete deposits of mine waste may have exposure to elevated metals concentrations resulting in injury.
Data for large mammals were not available, however, building upon the information available for small
mammals, an exposure analysis for large mammals was conducted. As for small mammals, the potential
for injury to large mammals is also linked to exposure in and around discrete floodplain deposits of mine
waste.
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-34
6.8.4.2 Summary of Injury Findings to Terrestrial Wildlife
As mine-waste deposits are limited to a few small areas within the floodplain of Reach 5, the
potential for injury to terrestrial wildlife is limited to small mammals residing in those areas. This is
further supported by the fact that for most of the Downstream Area, water quality and floodplain soils
metals concentrations are similar to Reach 0.
Reach 5
Due to the lack of small mammal data for Reach 5, it is not known if there is injury to this
resource. Characterization of the metals concentrations in Reach 5 fluvial deposits, floodplain soils,
vegetation, and terrestrial invertebrates would provide data to evaluate potential injury to small mammals.
Reaches 6-9
There are no small mammal data for Reaches 6-9. Because there are no known fluvial mine-
waste deposits in Reaches 6-9 and because floodplain soils concentrations are relatively low, the potential
for injury to terrestrial wildlife is not present.
6.8.5 Birds
Information on swallows and dippers from recent USFWS & USGS studies provide a basis for
evaluating injury. These species are exposed due to their reliance on various life stages of benthic
macroinvertebrates as a food source. Data from Reach 0 and the 11-mile reach enhance the
understanding of data from the Downstream Area.
6.8.5.1 Supporting Information
The USFWS sampled blood and livers from American dippers at 12 sites in the Downstream area
(Reaches 5-8) between 1995 and 1998 (Archuleta et al. 2000). Blood and liver samples were analyzed for
metals and blood was also analyzed for ALAD. In addition, aquatic invertebrates (dipper food items)
were collected from 19 sites and analyzed for metals. Aquatic invertebrate samples were generally
comprised of one composite sample per nest site per year with the exception of 1998 when a composite
sample was collected in April and a second composite sample collected in October from most sites. The
J:\OI0004\Task 3 - SCR\SCR_cunrcntl.doc 6-35
USGS sampled blood and liver from tree swallows at 4 locations (Reaches 6-9) in the Downstream Area
between 1997 and 1998 (Custer et al. 2003 In Press). Tree swallow liver samples were analyzed for
metals concentrations and blood was analyzed for ALAD activity. Swallow stomach contents were
analyzed for metals and food boli were evaluated to determine diet composition. These are the only
known bird studies that attempt to evaluate metals exposure and effects on migratory birds in the
Downstream Area.
For all Downstream Reaches, dipper blood metal concentrations were similar to concentrations
from Reach 0 with the exception of lead in Reach 5. Blood lead in Reach 5 was approximately two times
the concentration in Reach 0 (Table 6-12). ALAD in dipper samples was reduced in Reaches 5-7
compared to Reach 0 by 17 percent, 28 percent, and 14 percent respectively. Compared to the Study
Reference, ALAD was reduced by 49 percent, 56 percent, 48 percent, and 25 percent in Reaches 5-8
respectively (Table 6-13).
In dipper liver samples, copper concentrations were higher in Reaches 5-7 compared to Reach 0,
but not abnormally high. Lead liver concentrations were significantly higher in Reaches 5 and 6
compared to Reach 0. However, none of the metals in any of the Downstream reaches exceeded
literature-based benchmarks.
Average lead and zinc concentrations in aquatic invertebrate samples were much higher in
Reaches 5 and 6 compared to Reach 0 (Table 6-10). In samples collected between 1995-1998, the highest
average concentrations for each metal of concern occurred in Reach 6 in 1995. Generally, all metal
concentrations decreased from 1995 to 1998 in all reaches. Averaged over all years, Reaches 5 and 6 had
the highest average concentrations for all metals of concern. The most recent samples collected in 1998,
show that lead in Reaches 7 and 8 and zinc in Reaches 5-8 exceed the dietary benchmark for birds (Tables
6-10 and 6-11).
In swallow liver samples, cadmium was at least two times higher in Reaches 6-8 compared to
Reach 0. Copper and zinc concentrations for all reaches were similar to Reach 0 and lower than the study
reference. Lead concentrations in Reach 8 were significantly higher than the other Reaches and Reach 0
(Table 6-15). None of the metals in any of the Downstream reaches exceeded literature-based
benchmarks.
Compared to the Study Reference, ALAD was suppressed in tree swallows by 22 percent, 1
percent, and 35 percent respectively in Reaches 6-8 respectively. None of the Downstream reaches had
suppressed ALAD compared to Reach 0.
J:\010004\Task 3 - SCR\SCR_currentl.doc 6-36
Emergent adult aquatic invertebrates (swallow food items) had metal concentrations which were
generally 2-3 times lower than nymph stage aquatic invertebrates for all metals of concern and only zinc
exceeded the dietary threshold for birds (Custer et al. 2003 In Press).
6.8.5.2 Summary of Injury Findings to Birds
Findings of these studies and those of other investigators, related to the potential for injury, are
presented below:
• Injury is occurring to American dippers from lead exposure in Reaches 5 & 6 (betweenGranite and Balltown). Levels of d-aminolevulinic acid dehydratase (ALAD) activity are
suppressed in American dippers by approximately 50 percent compared to the reference
area (Archuleta et al. 2000).
• At all other downstream sites, ALAD activity is suppressed in American dippers (25-48
percent compared to a reference area) indicating the birds are exposed to lead, but injuryis not occurring (Archuleta et al. 2000).
• For all downstream sites, ALAD activity is suppressed in tree swallows (1-35 percent
compared to reference area), indicating the birds are exposed to lead, but injury is not
occurring (Custer et al. 2003 In Press).
• Migratory birds are exposed to metals (cadmium, lead, zinc) in the Downstream Area, butreported levels are typically below threshold values associated with lethal and sublethal
(e.g., behavioral and/or physiological) effects (Archuleta et al. 2000; Custer et al. 2003 InPress).
Reaches 5-6
• Based on greater than 50 percent ALAD suppression, there is injury to American dippers
when compared to Reach 0 (49 percent suppression for Reach 5 and 56 percent for Reach
6).
• There is no injury to tree swallows based on less than 50 percent ALAD suppression
compared to Reach 0 (28 percent for Reach 6).
• Metal concentrations in liver, blood, and eggs of birds were all below benchmark values.
J:\010004\Task3 -SCR\SCR_currentl.doc 6-37
No reproductive impairment (data for tree swallows only).
Reaches 7-8
There is no injury to American dippers based on less than 50 percent ALAD suppressioncompared to Reach 0 (48 percent for Reach 7 and 25 percent for Reach 8).
There is no injury to tree swallows based on less than 50 percent ALAD suppression
compared to Reach 0 (1 percent for Reach 7).
Metal concentrations in liver, blood, and eggs of birds were all below benchmark values.
No reproductive impairment (data for tree swallows only).
Reach 9
No data are available for migratory birds. However, downstream water and sediment
quality continue to improve and metal concentrations in invertebrates are lower thanReach 0 (Table 6-11). Injury to migratory birds is not expected in Reach 9.
6.9 Pueblo Reservoir (Reach 10)
Pueblo Reservoir is discussed separately because of the many differences in physical setting from
other upstream reaches. Overall, there are few metals data for Pueblo Reservoir relative to the amount of
data collected from upstream sites. In the database, water quality data were found extending from about
the mid 1980s to early in 1990. Most studies reviewed, investigated water and sediment quality, and a
few of those included data on biota. None of the studies reviewed were specifically designed to
determine if injuries to natural resources occur at Pueblo Reservoir. Assessment of injury over all time
periods is limited by the paucity of data for all natural resource categories (per NRDA regulations) for
Pueblo Reservoir. For example, the most recent water quality data are from 1989, and most biological
data are from a reconnaissance study investigating irrigation drainage in 1988. However, limited data on
the fundamental resources of surface water and sediments coupled with upstream data provide the basis
for a reasonable assessment of the potential for injury.
J:\010004\Task 3 - SCR\SCR_currentI.doc 6-38
6.9.1 Supporting Information
Surface Water
Herrmann and Mahan (1977) studied the concentration changes in inorganic chemicals pre-
(1972-1974) and post- (1974-1976) impoundment of Arkansas River at Pueblo Reservoir. Dissolved and
suspended levels of all inorganic constituents (Ag, Cu, Fe, Mn, Zn, Co, Pb, Cd, Li, Na, K, Ni, Mg, Ca,
Hg) averaged less than recommended or maximum permissible limits for beneficial uses of reservoir
water during this study. Seasonal, surface, and spatial trends were also observed for most constituents.
Generally, constituents in water samples had higher winter concentrations and lower summer
concentrations associated with high runoff. Based on spatial and surface trends, evaporation has
somewhat of a concentrating effect on dissolved solids, and certain metals (iron, manganese, zinc and
possibly copper, cadmium, and lead) appeared to be precipitating into the sediments. Although iron,
manganese, and zinc did not follow the general trends, they showed depth profiles (samples taken at 3-5m
intervals from the surface to the bottom) with higher dissolved concentrations in water near the bottom
that indicate an exchange is taking place between the reservoir water and sediments. Additionally,
dissolved oxygen tended to decrease with depth. Zinc concentrations were highly variable (range: 1- 38
p.g/1) and may be related to the concentration of suspended matter carried into the reservoir by the
Arkansas River (Herrmann and Mahan 1977).
Mueller et al. (1991) conducted a reconnaissance investigation of water quality, sediment, and
biota associated with irrigation drainage in the middle Arkansas River Basin, which included a sample
site at Pueblo Reservoir in the spring and fall of 1988. Water quality data show the same seasonal trend
as Herrmann and Mahan (1977) observed, although zinc concentrations were not as variable.
McNight et al. (1991) examined the chemical characteristics of particulate organic carbon in
water from one site in Pueblo Reservoir. Most major elements had comparable dissolved and colloid
concentrations indicating they are primarily dissolved components. However, iron, manganese, and zinc
had significantly greater concentrations in the organic colloid fraction indicating they are associated with
that fraction in some way. Concentration ratios of the filtrate to the organic colloid for iron, manganese,
and zinc exceed 500, 99, and 21 respectively (McNight et al. 1991), also indicating association with the
organic colloid fraction. Based on this and other studies (e.g., Kimball et al. 1989), organic colloids may
be important in the downstream transport of trace elements.
The recommended aquatic life criterion for total-recoverable iron (1,000 (j.g/1) (U.S. EPA 1986)
near the reservoir bottom was exceeded in 12 samples during 1986-1989 (Lewis and Edelmann 1994).
J:\010004\Task3 -SCR\SCR_currentl.doc 6-39
All samples that exceeded water quality standards for iron were collected from June through September,
and the authors attributed the iron concentrations to large concentrations of sediment and iron in the
Arkansas River inflow. The sampling site where 11 exceedances were observed is located in a well-
oxygenated area of the reservoir and it is unlikely that iron released from sediments contributed to the
elevated iron concentrations (Lewis and Edelmann 1994).
The public water-supply standard for dissolved manganese (50 |ig/l) (CDPHE 1990) near the
reservoir bottom was exceeded in 26 samples during 1986-1989 (Lewis and Edelmann 1994). The
authors attributed 14 of those exceedances to elevated concentrations of dissolved manganese in the
Arkansas River during summer runoff and the other 12 exceedances were attributed to the mobilization of
dissolved manganese from reservoir bottom sediments during periods of low dissolved-oxygen. Lewis
and Edelmann (1994) reported that manganese releases from the sediments diminished after fall turnover
mixes the deepest waters of the reservoir with well-oxygenated water from near the surface.
Generally, trace elements occur in relatively low concentrations in water (near surface and near
bottom) of Pueblo Reservoir (Lewis and Edelmann 1994). A comparison of total-recoverable and
dissolved concentrations of the predominant trace elements indicates that < 50 percent of the iron,
manganese, and zinc concentrations are dissolved, which suggests that a large percentage of those
elements in Pueblo Reservoir are sorbed to suspended sediment that is transported by the Arkansas River
(Lewis and Edelmann 1994).
Reach 10 water quality data for cadmium, copper, lead, and zinc are limited to Periods 2 and 3.
The data period of record (POR) is from 1982 to 1998, but is not consistent for each of the metals.
Considering all of the available dissolved data for each metal over the POR, there is a clear decreasing
trend of concentrations for cadmium, copper, and lead through time. No trends were obvious for zinc.
Tables 6-2 and 6-3 show that all TVS exceedances occurred during Period 2 and no TVS exceedance
occurred during Period 3. Cadmium and lead are the only metals that had exceedances of the TVSs
during Period 2.
During Period 3, Reach 10 had not exceeded the TVSs for any of the four metals evaluated.
Mean dissolved cadmium and lead are slightly elevated in Reach 10 compared to Reach 9, while copper is
lower compared to Reach 9. Mean zinc concentrations are virtually identical between Reaches 9 and 10.
Compared to Reach 0, mean dissolved concentrations of all four metals in Reach 10 are lower.
Available literature indicates the following:
J:\010004\Task 3 - SCR\SCR_currentl .doc 6-40
• Overall, few exceedances of water quality standards have occurred (primarily during
Period 2); however, standards were exceeded several times for two trace elements (iron
and manganese) between 1986 and 1989 (Lewis and Edelmann 1994).
• Metals-contaminated sediment and water from the Upper Arkansas River Basin are being
deposited in Pueblo Reservoir; however, concentrations are generally low (Herrmann and
Mahan 1977; Callendar et al. 1988; Church et al. 1994; Lewis and Edelmann 1994).
• Metals concentrations (cadmium, lead, zinc) in water tend to be higher near the sediment
- water interface (within 1m of the bottom) compared to surface samples (Herrmann and
Mahan 1977; Lewis and Edelmann 1994).
• Average metals (cadmium, lead, and zinc) concentrations in tissues of birds tend to be
below threshold values associated with lethal and sublethal (e.g., behavioral and/or
physiological) effects (Mueller et al. 1991; Custer et al. 2003 In Press).
• Certain layers within sediment core samples from the reservoir show deposits that
correspond to discharges from the Yak Tunnel (Callendar et al. 1988; Church et al.
1994).
• Iron, manganese, and zinc appear to be transported to and within the reservoir by colloids
(McKnight et al. 1991).
• Based on the existing data, injuries to natural resources are not currently occurring at
Pueblo Reservoir due to releases of hazardous substances from the Upper Arkansas River
Basin (Herrmann and Mahan 1977; Mueller et al. 1991; Lewis and Edelmann 1994;
Custer et al. 2003 In Press).
• Based on analyses of the data from the electronic database, as of 1990 no measured
metals concentrations have exceeded their respective TVSs in the reservoir. Prior to
1990, TVS exceedances in the reservoir were rare.
Sediments
Callender et al. (1988) collected sediment cores from Pueblo Reservoir for metals analysis and,
based on the vertical distribution of normalized metals data, interpreted the peaks of increased metals to
represent the 1983 and 1985 Yak Tunnel surges. Church et al. (1994) analyzed specific core intervals
from Callender et al.'s (1988) sediment samples and found lead-isotopic compositions that were similar to
mineral deposits at Leadville. For lead, copper, and zinc there is a significant increase in total
concentrations in specific intervals from 2 of 5 sediment cores from Pueblo Reservoir. Church et al.
J:\OI0004\Task 3 - SCR\SCR_currentl.doc 6-41
(1994) concluded that those core intervals contained surge deposits formed as result of releases from the
Yak Tunnel, supporting the interpretation made by Callender et al. (1988).
Herrmann and Mahan (1977) observed some metals (e.g., zinc, copper, cadmium, lead,
manganese, iron) loading of the sediments in Pueblo Reservoir near the inlet. The average zinc
concentration in the sediments was 3-4 times greater than the zinc content of pre-impoundment floodplain
sediments (Table 6-16). Increased metals loading in Pueblo Reservoir was attributed to sediments from
the Leadville Mining District (Herrmann and Mahan 1977). Mueller et al. (1991) collected sediment
samples from one site near the inlet of Pueblo Reservoir. All metals concentrations except zinc were near
pre-impoundment levels (Table 6-16). Lewis and Edelmann (1994) reported elevated lead and zinc
concentrations in reservoir bottom sediments when compared to values from Shacklette and Boerngen
(1984). Those elements are common constituents of mine drainage in the upper Arkansas River Basin.
Weathering of sedimentary rock in the lower half of the Basin is another source of iron and manganese to
the reservoir.
• Sediment metals data were compiled and found to be present for each of the three Periodsof interest for Reach 10, Pueblo Reservoir (Table 6-7). Sediment data for PuebloReservoir were limited for Periods 1 and 3, with only a single sample collected during
either period.
• Mean lead and zinc concentrations were higher in Period 2 over the single measurementpoint available for Period 1, while cadmium and copper are lower during Period 2.
• Compared to Period 2, mean concentrations of cadmium, copper, and lead are slightly
greater during Period 3, while zinc was lower during Period 3.
• Compared to Reach 0, the single sediment sample collected for Reach 10 during Period 3shows that concentrations of cadmium, lead, and zinc are lower in Reach 10 than the
mean values observed for Reach 0.
Biological
Custer et al. (2003 In Press) sampled livers from barn and tree swallows from Pueblo Reservoir in
1997-98. They were able to sample only 3 birds in 1997 and 3 birds in 1998. Average concentrations for
all metals were less than Reach 0 and all samples were less than the literature-based thresholds.
Mueller et al. (1991) sampled adult and juvenile waterfowl and shorebirds from Pueblo Reservoir
and analyzed livers for metals. Only cadmium in adult birds exceeded the concentrations from Reach 0,
J:\010004\Task3-SCR\SCR_currentl.doc ' 6-42
but it did not exceed the literature-based benchmark. However, adult birds sampled from Pueblo
Reservoir are not a valid indicator of exposure from Pueblo Reservoir as the birds may have been exposed
at another site. Cadmium and lead in juvenile birds were all less than the detection limit. Some juvenile
birds had zinc concentrations that were higher than Reach 0, but the average zinc concentration was less
than the literature-based benchmark.
Mueller et al. (1991) also sampled fish in June and October from Pueblo Reservoir. They
analyzed whole-body composite samples of several different species (bluegill, common carp, gizzard
shad, channel catfish, and small mouth bass). Neither cadmium nor lead had detectable concentrations
and zinc concentrations were below benchmark values.
6.9.2 Summary of Injury Findings for Pueblo Reservoir
• Available information on water quality indicates that injury to surface water is notpresent within Pueblo Reservoir. Surface water quality data do not show exceedances of
the TVSs.
• The December 2000 CDPHE Status of Water Quality Report indicates that the PuebloReservoir and the Arkansas River downstream of the reservoir is fully supporting itsdesignated uses.
• Sediment concentrations also indicate lack of injury. Although limited in numbers, datafrom about 20 years suggests that Pueblo Reservoir sediments are of similar or betterquality than those found in the upstream reference, Reach 0.
• Corresponding to the lack of injury in surface water and sediment, no injuries wereobserved or are expected for aquatic or terrestrial biological resources within Pueblo
Reservoir.
6.10 Baseline Considerations
There are many land use and resource management factors influencing the condition of the
Downstream Area. This overview makes no attempt to characterize those influences. It should be noted
that there are several historic mining districts located in the Downstream Area within the Arkansas River
Basin. They include the Twin Lakes Mining District located above Twin Lakes, the Monarch Mining
District located in the Chalk Creek area, the Rosita Hills Mining District located near Westcliff, and the
Cripple Creek Mining District near Cripple Creek and Victor. In addition, there are three hazardous
J:\010004\Task 3 - SCR\SCR_current 1 .doc 6-43
waste sites that are either on the National Priorities List or proposed for listing. They include
Smeltertown located just North of Salida, Lincoln Park located southwest of Canon City, and College of
the Canons located southwest of Canon City. The influences of any of these mining districts or sites on
the condition of the UARB resources were not explored.
There have been numerous attempts by state and federal agencies to evaluate the role of non-
mining impacts on the physical, chemical, and biological resources of the Upper Arkansas River. The
Downstream Area is heavily managed, influenced by a variety of factors that have an effect on water
quality, including:
• Trans-mountain diversions and flow augmentation from various tributaries;• Urban development;
• Irrigation for agricultural uses;• Hydroelectric power generation;• Treatment of municipal and industrial waste;• Recreational uses;
• Flood control; and• Maintenance of the fishery.
Five major population centers are located in the Arkansas River Basin: Leadville; Colorado
Springs; Pueblo; Las Animas; and Lamar. The Colorado Department of Public Health and Environment
reported 88 permitted point source discharges in the Arkansas Basin, not including those covered by
general permits: 55 domestic waste treatment facilities, twelve hardrock and mine dewatering permits,
eleven industrial plants, six power plants, two hot springs pools, one water treatment plant, and two fish
hatcheries (CDPHE 2002).
Particular emphasis has been placed upon flow regulation as it relates to recreation and influences
on aquatic life (BLM 2000). The situation is then further complicated by the extensive use of the river
between Buena Vista and the Pueblo Reservoir for recreational purposes. This stretch of the Arkansas
River is reportedly the most widely used river in Colorado (CDPHE 2002). The main issue is how water
delivery (scale and timing) influences recreational uses (i.e., rafting) versus the quality of the fishery.
There is a difference between water releases to promote maintenance of the fishery versus flows
appropriate for recreational rafting. A suitable hydrograph for brown trout was illustrated earlier in this
report. The timing of peak flows and lower summer flows for fish does not necessarily correspond with
those flows more suitable for good Whitewater rafting in the mid to late summer. These are conflicting
management issues that not only affect water quality due to dilution and flushing, but also the biological
resources due to quality of water as well as quantity.
J:\OI0004\Task 3 - SCR\SCR_currentl .doc 6-44
TABLES
Table 6-1
Summary Statistics for Dissolved Metals Concentrations in Surface Waters from the Downstream Area during Period 1, Table Value Standards (TVS), andExceedences of TVSs for Each Metal during High and Low Flows
Note: Only reaches where data are available are shown.ND-No data
Table 6-2
Summary Statistics for Dissolved Metals Concentrations in Surface Waters from the Downstream Area during Period 2, Table Value Standards (TVS), andExceedences of TVSs for Each Metal during High and Low Flows
Note: Only reaches where data are available are shown.
Page 2 of 2
Table 6-3
Summary Statistics for Dissolved Metals Concentrations in Surface Waters from the Downstream Area during Period 3, Table Value Standards (TVS), andExceedences of TVSs for Each Metal during High and Low Flows
Data is from Consulting Team database.:MCL = 0.005 mg/L.3There is no MCL for copper, but it has a drinking water supply standard of 1.3 mg/L in Colorado.JTher is no MCL for lead, but it has an action level of 0.015 mg/L in Colorado.5MCL = 5.0 mg/L.< Indicates non-detect. For non-detects. one half of the detection l imit is shown in this table as the data value.For data set 68 CDPHE data, values are for total metals concentrations. For all other data sets, values are dissolved metals concentrations.
Table 6-9
Total Soil Concentrations for Lead and Zinc for Floodplain Soils in the Control Area (Reach 0) andfor Reaches 6-9
Reach
06789
LeadMean238376864020
Range97-464
20-1,60332-18020-12620-29
St. Dev.13645744281.3
ZincMean42886832828171
Range184-857
40-4,393105-1,23242-81340-150
St. Dev224
1,21333216029
Table 6-10
Average Metals Concentrations in Mixed Invertebrate Speciesby Reach and by Year from the Downstream Area (ppm, wet weight)'
Year (sample size) Cadmium Copper Lead ZincReach 5
1995 (n=l)1996 (n=l)1997(n=l)1998 (n=3)
2.13.20.30.8
12.07.99.67.4
20.525.31.9
12.8
244.5338.0108.6198.0
Reach 61995(n=l)1996 (n=4)1997 (n=2)1998 (n=4)
3.83.50.80.8
13.112.27.76.4
88.234.98.711.0
671.8352.8143.6170.3
Reach 71998 (n=3) 0.6 6.6 | 1.7 153.7
Reach 81995 (n=3)1996 (n=3)1997 (n=7)1998 (n=17)
0.51.50.90.3
5.67.68.96.7
6.96.24.91.3
142.5184.3188.6109.3
Reach 91998 (n=2) 0.1 4.9 1.5 41.4
'Data from Archuleta ct al. (2000)
Table 6-11
Average Metal Concentrations in Mixed Invertebrate Speciesby Downstream Reach Compared to Reach 0 (ppm, wet weight)'
Vegetation in the vicinityof open valley f loodplains
Cotton woodRiparian Evergreen
Upland Grass
Riparian Shrub (generall
Open Water - Lentic
Open Water - Riverine
Riparian Herbaceous (Standing Waterl
Riparian Herbaceous (waterlogged Soils)
WillowTamarisk
Upland Shrub
i r if •*. >;
~\' - r . .S
CountyAirpo-t14
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^\
fssyl T^S
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UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY! i\
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Union H jhlandIM _^, UOlO\ Coal Cr$ek T COTI
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FIGURE 6-7RIPARIAN VEGETATION AND
POTENTIAL SEDIMENT DEPOSITIONAREAS IN THE
CANON CITY AREA9 _/
PROJECT 010004.3 DATE: OCT 22. 2002
- o -^^ ^ ,r \j ^ . j>-'~~ ^ - consulting scientists and engineers
22-OCT-2002GRAN:iARC-
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EXPLANATIONHydrology
River or Stream
•^^^^— Watershed Boundary
Other Features
Open ValleyFloodplains
Vegetation in the vicinityof open valley f loodplains
Urban
Open Water - Lentic
Open Water - Riverine
Riparian Herbaceous (Standing Water)
Riparian Herbaceous (waterlogged Soils)
Riparian Shrub (general)
Willow
Tamarisk
Cotton wood
Sandbar
Upland Shrub
Upland Tree
SCALI: IN MILES
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE 6-8
RIPARIAN VEGETATION AND
POTENTIAL SEDIMENT DEPOSITION
AREAS IN THE
FLORENCE AREA
PROJECT 010004.3
REV: 1DATE: OCT22, 2002
BY: MCP | CHK: SAW
MFC, Inc.consulting scientists and engineers
Downstream of the 11 mile reach (station AR8)
600
soor-J
^ 400dj° 300
£| 200D
100
35
30
NE 25
° 20s.I 1S
I 10
3l
j: 2d
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Baetidae
Chloroperlidae
Rhyacophilidae
Elmidae
200
1BO
160.
140
120
100
80
60
40
20
160 i
140
120
100
BO
60
40
20
0250
200
150
100
50
o1400
1200.
1000.
600
600-
400-
200.
0
Heptageniidae
Brachycentridae
Date
Hydropsychidae
Chironomidae
Date
Figure 6-9
Abundance of Dominant Macroinvertebrate Taxa in the Arkansas River Downstream of the11-Mile Reach (Station AR-8).
10000 n
D)
CoS
-4— »
0)O
ooN
1000 -
10EF5 AR1 AR3 AR5 AR8
EF5 AR1 AR3
Station
AR5 AR8
Figure 6-10
Changes in Total Zn Concentration and Number of Heptageniidae in Reach 0 (EF-5, AR-1),Reach 1 (AR-3), and Reach 3 (AR-5) before and after Remediation of LMDT and California
Gulch. These Values are Compared to Data Collected below the 11-Mile Reach (AR-8).
Downstream of the 11 mile reach (station AR8)
10
<uo.L_
(D.a
D
CN
0)Q.
O 6
4
2
CM 20
0 15
0)Q.i_ 10<U
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MayflyRichness
CaddisflyRichness
EPT
8 i
6
2
StoneflyRichness
Date
DipteranRichness
Total SpeciesRichness
Date
Figure 6-11
Species Richness of Major Macroinvertebrate Groups in the Arkansas River Downstreamof the 11-Mile Reach (Station AR-8).
Summary metals statistics for Reach 5 show elevated concentrations when compared to Reach 0.
Statement of Injury: Surface waters in Reach 5 are injured during high flow due to concentrations of lead andzinc that exceed TVSs. Surface waters in Reach 5 are injured during low flow due to concentrations of zincthat exceed TVSs. A single exceedence for cadmium and copper was noted during both high and low flow,respectively.
Commentary: Exceedences for the four metals evaluated, except for zinc, are relatively infrequent. Based onmean concentrations, zinc exceeds TVSs during high flow and low flow. On average, zinc was roughly twicethe chronic TVS. Exceedences can be linked to poor water quality upstream of Reach 5. The December 2000CDPHE Status of Water Quality Report indicates that the Arkansas River from Lake Fork to Lake Creek isfully supporting its designated recreational and agricultural uses and partially supporting its aquatic life uses.The primary cause of non-support is zinc concentrations in surface waters.
Representativeness of Data: The amount of data available from this reach is limited; however, there are nosubstantial changes in flow or water quality in Reach 5 relative to Reaches 3 & 4 suggesting that collection ofadditional data would likely not provide any new insights about water quality in this reach. The spatialdistribution of sample locations in Reach 5 shows that two points fall about one mile apart. One samplingpoint is located in the upper part of the reach just southwest of Holmes Gulch and the second point is locatedin the lower part of the reach just north of Lake Creek. The data, therefore, are considered to berepresentative.
Data Gaps: None.
Is current information sufficient for restoration planning? As with Reach 4 upstream, the data for Reach 5provide an adequate assessment of the extent of water quality impacts from upstream sources. There are onlya few small mine-waste deposits in the upper portion of Reach 5, and the length of Reach 5 is relatively short.Collection of new water quality data in Reach 5 would provide no additional information about restorationplanning.
Related Text: Sections 6.4, 6.4.1 and 6.4.2
* Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
2The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Surface Water 1992 to 2000 (Period 3)Reach 6 - Lake Creek to Chalk Creek (29.5 RM)
RegulatoryThresholdsFor Injury
High FlowAcute and chronic TVSs* based on mean hardness foreach reach for cadmium, copper, lead, and zinc... [43CFR11.62(b)]
Lake Creek discharges a substantial volume of water to the Arkansas River and alters the hydrology as well asthe water chemistry. As a result, zinc concentrations in Reach 6 are one half of those in Reach 5 and aresimilar to Reach 0.
Statement of Injury: Surface waters in Reach 6 are injured during high and low flow due primarily toconcentrations of zinc that exceed TVSs. Occasional exceedences were identified for surface waters in Reach6 during high and low flow for cadmium, copper, lead, and zinc.
Commentary: Hardness values during both high and low flows are lower in this reach of the Arkansas River,resulting in lower TVSs. During both high and low flows, the frequency of exceedences for cadmium, copper,and lead is very low (8% or less), and high flow exceedences are more frequent than low flow exceedences.Zinc exceeds both the acute and chronic TVSs in about 30% of the samples during both high and low flows;however, on average, concentrations of zinc during high and low flow are very close to the TVSs. TheDecember 2000 CDPHE Status of Water Quality Report indicates that the Arkansas River below Lake Creek isfully supporting its designated uses. The South Fork of Lake Creek is listed as partially supporting its aquaticlife use due to metals. Discharge of this creek is through Twin Lake Reservoir, which is listed as fullysupporting its designated uses. Additional metals may come from this drainage, although loading is expectedto be small.
Representativeness of Data: The spatial and temporal distribution (1992-1999) of the sample data for this reachis the best of all of the downstream reaches with between 7 and 10 sample stations covering most of the reach.The spatial distribution of sample locations in Reach 6 shows there are multiple sample points that fall both inthe upper and lower sections of the reach. Data are spatial and temporally representative for the reach.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.4, 6.4.1 and 6.4.2
' Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Surface Water 1992 to 2000 (Period 3)Reach 7 - Chalk Creek to South Fork Arkansas River (21.2 RM)
RegulatoryThresholdsFor Injury
High FlowAcute and chronic TVSs* based on mean hardness foreach reach for cadmium, copper, lead, and zinc.. . [43CFR 11.62(b)]
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopperLeadZinc
Total n89858682
Stations3333
> Acute >1102
Chronic12192
RelatedBenchmark
Comparisons
Compared to Reach 6 upstream, average concentrations of zinc during high and low flow typically decrease inReach 7. This is consistent with the trend observed from upstream reaches for zinc. Mean cadmium, copper,and lead in Reach 7 are similar to concentrations in Reach 6 during low flows and decrease during high flows.Mean concentrations are less than Reach 0.
Statement of Injury: Surface waters in Reach 7 are injured during high flow primarily due to concentrations oflead and zinc that exceed TVSs. Surface waters in Reach 7 are injured during low flow due primarily toconcentrations of lead that exceed TVSs. Occasional exceedences of cadmium and copper were also identifiedduring high flow, while occasional exceedences of cadmium, copper, and lead were observed during low flow.
Commentary: The number of high and low flow exceedences of acute TVSs in Reach 7 for cadmium, copper,and lead is smaller than that observed in Reach 6, indicating that the concentrations of these metals aredecreasing. No acute or chronic exceedences of TVSs were observed for cadmium during high flow, and onlyone each was observed during low flow. Zinc exceedences during high flow were greater than during lowflow. Exceedences of TVSs in Reach 7 are slightly lower for both flow conditions than those observed forReach 6. Mean concentrations are below the TVSs for both high and low flows. The December 2000 CDPHEStatus of Water Quality Report indicates that the Arkansas River below Lake Creek is fully supporting itsdesignated uses. Chalk Creek may serve as an additional source of metals in this reach due to historicalmining, and is listed as partially supporting its aquatic life use.
Representativeness of Data: Reach 7 data are considered to be representative both temporally and spatially forthe reach. Data are temporally well distributed from 1992 to 1997. No post-1997 data were available. Thespatial distribution of sample locations in Reach 7 shows that there are approximately nine points locatedthroughout the middle and lower section of the reach, however, there are no sample points in the upper quarterof the reach, which covers approximately 6 miles.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.4, 6.4.1 and 6.4.2
* Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
4The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Surface Water 1992 to 2000 (Period 3)Reach 8 - South Fork Arkansas River to Canon City (58.1 RM)
RegulatoryThresholdsFor Injury
High FlowAcute and chronic TVSs* based on mean hardnessfor each reach for cadmium, copper, lead, andzinc... [43CFR 11.62(b)]
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopperLeadZinc
Total n194187196191
Stations6666
> Acute02016
> Chronic031215
Low FlowAcute and chronic TVSs* based on mean hardness foreach reach for cadmium, copper, lead, and zinc... [43CFR 1 1 .62(b)]
Summary Data - Mean (min, max) mg/L
Diss Cd = 0.0001 1 (0.00005, 0.0021)DissCu= 0.00124(0.0001,0.0101)DissPb= 0.0017(0.0005,0.1677)DissZn= 0.036(0.001,0.175)
Regulatory Thresholds for Injury (mg/L)Analyte
CadmiumCopperLeadZinc
Acute0.004
0.01440.06990.1246
Chronic0.00240.00950.00270.1252
Hardnes107.48107.48107.48107.48
s
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopper
LeadZinc
Total n199197204178
Stations8777
> Acute >0014
Chronic0154
RelatedBenchmark
Comparisons
Compared to Reach 7, mean concentrations of the metals evaluated in Reach 8 are typically similar to, orless than, those observed in Reach 7 during both high and low flows. Mean zinc concentrations between thetwo reaches are almost identical. Hardness increased in Reach 8 when compared to Reach 7, suggestinginputs from tributaries and effects of local land uses.
Statement of Injury: Surface waters in Reach 8 are injured during high flow due to concentrations of leadand zinc that exceed TVSs. Surface waters in Reach 8 are injured during low flow due to concentrations oflead, and zinc that exceed TVSs. Copper was also identified as occasionally exceeding the TVS.
Commentary: Cadmium does not exceed TVSs during either high or low flows. Copper exceedences areinfrequent. Lead exceedences of the chronic TVSs were measured more frequently during high versus lowflows. Occurrences of zinc exceedences are similar to Reach 7. Average values for cadmium, copper, lead,and zinc are well below the TVS. Based on mean concentrations, none of the evaluated metals exceed TVSsduring either high or low flows. The December 2000 CDPHE Status of Water Quality Report indicates thatthe Arkansas River below Lake Creek is fully supporting its designated uses.
Representativeness of Data: Reach 8 data for Period 3 are temporally well distributed. Reach 8 is one of thelongest of the downstream reaches evaluated. The spatial distribution of sample locations in Reach 8 showsthere are multiple points that fall throughout the reach, however, there are two considerable gaps in betweensample locations. One, located below Badger Creek, is 12 miles long and another, that is approximately 18miles in length, is located between Texas Creek and Currant Creek. However, spatial distribution of thesample locations is adequate. Data are considered to be representative for the reach.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.4, 6.4.1 and 6.4.2
1 Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Surface Water 1992 to 2000 (Period 3)Reach 9 - Canon City to Pueblo Reservoir (29 RM)
High Flow Low FlowRegulatoryThresholdsFor Injury
Acute and chronic TVSs* based on mean hardness foreach reach for cadmium, copper, lead, and zinc... [43CFR11.62(b)]
Acute and chronic TVSs* based on mean hardness foreach reach for cadmium, copper, lead, and zinc... [43CFR 1
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopper
LeadZinc
Total n
12121112
Stations2222
> Acute0000
> Chronic
0000
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopper
LeadZinc
Total n
23252820
Stations3333
> Acute
0000
> Chronic
0000
RelatedBenchmark
Comparisons
Hardness and, correspondingly, the TVSs increase relative to Reach 8. At the same time, average andmaximum concentrations decreased relative to upstream reaches.
Statement of Injury: Surface waters in Reach 9 are not injured during high or low flow.
Commentary: Within Reach 9 the Arkansas River changes from a high gradient, canyon stream to a widefloodplain stream. The December 2000 CDPHE Status of Water Quality Report indicates that the ArkansasRiver below Lake Creek is fully supporting its designated uses.
Representativeness of Data: The temporal distribution is limited (1992-1996) during the period, with most ofthe data collected closer to 1992. The spatial distribution of sample locations in Reach 9 shows there aremultiple points that are located throughout the reach. There are three sample points in the upper section of thereach, two in the middle section and the remainder in the lower section. Available data are consistent with thedownstream trend of improving water quality.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.4, 6.4.1 and 6.4.2
* Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended 10 be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Surface Water 1992 to 2000 (Period 3)Reach 10 - Pueblo Reservoir (inlet to a point 1.5 miles below the outlet; 8.1 RM total)
High Flow Low FlowRegulatoryThresholdsFor Injury
Acute and chronic TVSs* based on mean hardnessfor each reach for cadmium, copper, lead, and zinc.[43CFR11.62(b)]
Acute and chronic TVSs* based on mean hardnessfor each reach for cadmium, copper, lead, and zinc.[43CFR11.62(b)]
Diss Cd = 0.00008 (0.00005, 0.0003)Diss Cu = 0.00069 (0.0002, 0.002)Diss Pb = 0.0005 (0.0005, 0.0005)DissZn= 0.01429(0.003,0.048)
Regulatory Thresholds for Injury (mg/L)Analyte
CadmiumCopperLeadZinc
Acute0.00790.02590.13640.2112
Chronic0.00370.01620.00530.2123
Hardness200.38200.38200.38200.38
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopperLeadZinc
Total n21212218
Stations2222
> Acute0000
> Chronic0000
Exceedence Data (# exceeding RegulatoryThresholds)
AnalyteCadmiumCopperLeadZinc
Total n20202017
Stations2222
> Acute0000
> Chronic0000
RelatedBenchmark
Comparisons
Similar to Reach 9, none of the metals evaluated exceed the TVSs.
Statement of Injury: Surface waters in Reach 10 are not injured during high or low flow.
Commentary: Period 3 data used for Reach 10 analyses reflect reservoir tailwaters to approximately 1.5miles downstream. No surface water quality data for metals were available during Period 3 in the reservoir.Data collected at the tailwaters of the reservoir indicate that none of the evaluated metals exceed TVSs duringeither high or low flows. When considered with that from Reach 9, which showed a similar trend, the datasuggests that metals concentrations in the reservoir do not likely exceed TVSs. The December 2000 CDPHEStatus of Water Quality Report indicates that the Pueblo Reservoir and the Arkansas River downstream of thereservoir is fully supporting its designated uses.
Representativeness of Data: Sample locations for Period 3 data are located immediately downstream of thereservoir as well as about 1.5 miles downstream and provide adequate spatial coverage. The temporaldistribution of the data extends from 1992 to about 1998. Although no surface water quality data for metalsare available for the reservoir during the evaluation period, tail water quality is directly influenced bydischarge from the reservoir; therefore, these data are considered to provide a representative picture of themetals concentrations for this reach. This evaluation is augmented by reservoir data from prior to 1991 thatshows relatively good water quality during the pre-LMDT and Yak Tunnel treatment era.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.9, 6.9.1 and 6.9.2
1 Both acute and chronic numbers adopted as stream standards are levels not to be exceeded more than once every three years on the average.
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 5 - Two Bit Gulch to Lake Creek (2.2 RM)RegulatoryThresholdsFor Injury
RelatedBenchmark
Comparisons
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (f) of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 1 1.62(b)(l)(v)].
Summary Data (mg/kg)
Analyte River D • A \ **• **(dry weight) Reach Penod AvS Mm Max
Cadmium ArkRS Periods 10.4 5.48 16Copper ArkRS Period 3 40.5 23.6 63Lead Ark R5 Period 3 686 602 770Zinc ArkRS Periods 1,543.7 310.85 2,800
StationCount n
3 53 52 23 5
Sediment metals concentrations are elevated in Reach 5 over those found in Rescadmium, copper, lead, and zinc are about 1.7, 1.6, 7.7, and 4.5 times greater, r<sediments when compared to Reach 0 sediments.
Statement of Injury: No definitive criteria are available for sediments in the regsediment load, it is not expected that metals in sediment are causing injury to grresources. For additional information about the potential for injury, see the surisections of the matrix.
Commentary: Sources of metal-enriched sediments are largely believed to be frCalifornia Gulch and other tributary streams where historical mining has occumof recent data available for this reach and concentrations for each metal are simiReach 4, which also had little data available for sediments. Due to the fluvial d;retention of fine sediments is low. Additionally, the quantity of fine-grained secobserved to be small. Collecting additional sediment quality data in a system thnot provide any additional insights on overall sediment quality.
Representativeness of Data: The spatial distribution of sample locations in Rea(three sample points, which are in close proximity to one another at the extreme sFurther sampling is not anticipated to provide significant additional informationAvailable data are not spatially or temporally diverse; however, these data are cinjury characterization.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.5. 6.5.1 and 6.5.2
ich 0. Mean concentrations of:spectively, in Reach 5
ulations. Given the smalloundwater or surface waterace water and/or biological
om upstream areas such as;d. There is a limited amountlar to those observed in/namics of this system,iments in this reach wasat is routinely flushed would
;h 5 shows there are onlyouth end of the reach,for metals in sediments.Dnsidered to be adequate for
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 6 - Lake Creek to Chalk Creek (29.5 RM)RegulatoryThresholdsFor Injury
RelatedBenchmark
Comparisons
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (f) of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 1 1.62(b)(l)(v)]
Summary Data (mp/kg)
Analyte River ., . , . »,. A, Station(dry weight) Reach Penod Av§ Min Max Count
Cadmium Ark R6 Period 3 4.80 1.35 15.4 11 17
Copper Ark R6 Period 3 29.10 7.04 79.78 11 17Lead Ark R6 Period 3 296.94 67.6 550 8 8Zinc Ark R6 Period 3 1,046.63 238.39 2,559 11 17
Sediment metals concentrations for copper are slightly elevated in Reach 6 over those found in Reach 0 (e.g.,1.1 times greater). Mean concentrations of lead and zinc are 3.2, and 2.8 times greater, respectively, in Reach6 sediments when compared to Reach 0 sediments. Cadmium in sediments was not elevated in Reach 6compared to Reach 0. On average, concentrations are lower than in Reach 5.
Statement of Injury: No definitive criteria are available for sediments in the regulations. Given the smallsediment load and large dilution flows of Lake Creek, it is not expected that metals in sediment are causinginjury to groundwater or surface water resources. For additional information about the potential for injury, seethe surface water and/or biological sections of the matrix.
Commentary: Sources of metal-enriched sediments are largely believed to be from upstream areas such asCalifornia Gulch and other tributary streams where historical mining has occurred. There is a limited amountof temporal data available for this reach; however, the sediment data appear to be spatially well distributed.Due to the fluvial dynamics of this system as well as the increased flows discharged by Lake Creek, retentionof fine sediments is expected to be low. The quantity of fine-grained sediments in this reach was observed tobe small. Collecting additional sediment quality data in a system that is routinely flushed would not provideany further insights on overall sediment quality.
Recresentativeness of Data: The spatial distribution of sample locations in Reach 6 shows that there aremultiple points that fall throughout the reach.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.5, 6.5.1 and 6.5.2
The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 7 - Chalk Creek to South Fork Arkansas River (21.2 RM)RegulatoryThresholdsFor Injury
RelatedBenchmark
Comparisons
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (0 of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 1 l.62(b)(l)(v)]
Summary Data (mg/k^)
Analyte River D . . . „. A/r Station(dry weight) Reach Penod Av§ Min Max Count
Cadmium Ark R7 Period 3 1.43 0.69 3.04 4 4Copper ArkR7 Period 3 20.29 8.74 32 4 4Lead Ark R7 Period 3 89.38 38.5 127 4 4Zinc ArkR7 Periods 469.75 206 653 4 4
Sediment concentrations of cadmium and copper in Reach 7 are not elevated over those found in Reach 0.Sediment concentrations of lead are less than 1 mg/kg higher in Reach 7 sediments compared to Reach 0sediments whereas zinc concentrations are 1.4 times higher in Reach 7 sediments compared to Reach 0.
Statement of Injury: No definitive criteria are available for sediments in the regulations. Given the smallsediment load and the large dilution flows of Lake Creek and other tributaries it is not expected that metals insediment are causing injury to groundwater or surface water resources. For additional information about thepotential for injury, see the surface water and/or biological sections of the matrix.
Commentary: Concentrations of cadmium and copper in sediments from Reach 7 are not elevated over thoseobserved in Reach 0 while concentrations of lead show a negligible increase. Zinc in sediments of Reach 7 iselevated, but not substantially. Overall, Reach 7 sediment metals concentrations are considerably lower thanthose observed upstream in Reach 6.
Representativeness of Data: Onlv a small amount of sediment data is available for this reach both temporallyand spatially. However, the spatial distribution of sample locations in Reach 7 shows multiple points that fallthroughout the reach. There are a couple of large breaks (approximately 5 miles in length) between datapoints in the middle to lower middle sections of the reach. As with upstream reaches, sediment dataavailability is low, but the initial data are viewed to be representative.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.5, 6.5.1 and 6.5.2
10The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 8 - South Fork Arkansas River to Canon City (58.1 RM)RegulatoryThresholdsFor Injury
RelatedBenchmark
Comparisons
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (0 of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 1 1.62(b)(l)(v)j
Summary Data (mg/kg)
Analyte River „ . . . x,. x* Station(dry weight) Reach Penod Av§ Mm Max CountCadmium ArkR8 Periods 1.76 0.342 4.52 15 17Copper ArkRS Periods 22.78 7.57 40.5 15 17
Lead ArkRS Period 3 47.22 7.54 130 15 17Zinc ArkRS Period 3 459.53 88 840 15 17
Mean sediment concentrations of cadmium, copper, and lead in Reach 8 are not elevated over those found inReach 0. The mean zinc concentration in sediments in Reach 8 is 1.3 times greater than the mean value forzinc observed in Reach 0.
Statement of Injury: No definitive criteria are available for sediments in the regulations. For additionalinformation about the potential for injury, see the surface water and/or biological sections of the matrix.
Commentary: Concentrations of cadmium, copper, and lead in sediments from Reach 8 are lower thanconcentrations of metals in sediments from Reach 0 while zinc is only slightly elevated. Compared to Reach7, there are substantially more sediment quality data in Reach 8 than in Reach 7, yet on average sedimentmetals concentrations in Reach 8 are lower than those observed in Reach 7. The geomorphologicalassessment suggests that a 5-mile stretch of river upstream of Salida in Reach 8 has morphologicalcharacteristics for sediment retention.
Representativeness of Data: The spatial distribution of sample locations in Reach 8 shows there are manysample points in the upper section of the reach, but there is a large break between sample points startingabove Texas Creek and ending around Currant Creek. Other than this break the points are well distributed.As with upstream reaches, sediment data availability is low, but it is assumed that these data arerepresentative.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.5. 6.5.1 and 6.5.2
11The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 9 - Canon City to Pueblo Reservoir (29 RM)RegulatoryThresholdsFor Injury
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (f) of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 11.62 (b)(l)(v)]
Summary Data (mg/kg)
Analyte(dry weight)
CadmiumCopperLeadZinc
RiverReach
ArkR9ArkR9ArkR9ArkR9
Period
Period 3Period 3Period 3Period 3
Avg
1.1421.7831.93
288.13
Min
0.4158.3512.894.4
Max
23453
560
StationCount
3333
n
3333
RelatedBenchmark
Comparisons
Sediment metals concentrations in Reach 9 are not elevated over those found in Reach 0. Moreover,concentrations of metals in Reach 9, except for copper, are considerably lower than mean metalconcentrations in Reach 0.
Statement of Injury: No definitive criteria are available for sediments in the regulations; however,concentrations are lower than those found in Reach 0.
Commentary: Concentrations of metals in sediments from Reach 9 are considerably lower thanconcentrations of metals in sediments from Reach 0; however, only a small amount of sediment data areavailable for this reach both temporally and spatially. Below Canon City, the canyons and high gradientstream system gives way to a broader floodplain that extends to Pueblo Reservoir. Despite this lowergradient and higher potential for sediment deposition downstream of Canon City, all sediment metalsconcentrations evaluated are less than Reach 0 as well as the immediately upgradient reaches.
Representativeness of Data: The three sample locations in Reach 9 are distributed throughout the reach.There is an approximate 10-mile stretch from above Beaver Creek to just above Turkey Creek where data arenot available. As with upstream reaches, sediment data availability is low, but it is assumed that these dataare representative.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.5, 6.5.1 and 6.5.2
12The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Instream Sediment 1992 to 2000 (Period 3)Reach 10 - Pueblo Reservoir (inlet to a point 1.5 miles below the outlet; 8.1 RM total)RegulatoryThresholdsFor Injury
RelatedBenchmark
Comparisons
Concentrations and duration of substances sufficient to have caused injury as defined in paragraphs (c), (d),(e), or (f) of this section to groundwater, air, geologic, or biological resources when exposed to surface water,suspended sediments, or bed, bank, or shoreline sediments... [43 CFR 1 1.62 (b)(l)(v)]
Summary Data (mg/kg)
Analyte(dry weight)
CadmiumCopperLeadZinc
River „ . , . ,,. ,, StationReach Penod Av& Min Max Count n
A r k R I O Period 3 2.00 2 2 1 1Ark RIO Period 3 31.00 31 31 1 1Ark RIO Period 3 37.00 37 37 1 1Ark RIO Period 3 180.00 180 180 1 1
Sediment metals concentrations in Reach 10, except for copper, are not elevated over those found in Reach 0.Moreover, concentrations of cadmium, lead, and zinc in Reach 10 are considerably lower than mean metalconcentrations in Reach 0. Copper is 1.3 times higher in Reach 10 sediments compared to Reach 0sediments.
Statement of Injury: I*metal concentrations apotential for injury, se
Commentary: Pueblo Ielevated concentrationcontinued sediment de
Representativeness ofdownstream. Sedimenrepresentative. Upstrecovered by new, clean
Data Gaps: Althoughreservoir and in Reachidentified as a data gap
Is current information
Jo definitive criteria are available for sediments in the regulations. However, sedimentre not elevated when compared to Reach 0. For additional information about the2 the surface water and/or biological sections of the matrix.
leservoir is a sediment sink. Studies conducted prior to 1992 indicate somewhats of metals in the delta of the reservoir relative to pre-reservoir sediments. However,livery to the reservoir reflects improvements in water quality.
Data: This reach includes the reservoir and its tail waters to about 1.5 milest data were only found for the reservoir during Period 3. One sample point is notam sediment data suggest that Pueblo Reservoir sediments are continually being;r sediments.
current sediment data are limited, given the relatively low concentrations in thees 7-9 sediment quality is not a focus. Therefore lack of sediment sample results is not».
sufficient for restoration planning? Yes.
Related Text: Sections 6.9. 6.9.1 and 6.9.2
13The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
2. Ground water Resources:
A. Groundwater
14
Working Draft
Groundwater 1992 to 2000Reaches 5-10 - Two-Bit Gulch to a Point 1.5 Miles below the Outlet of Pueblo Reservoir (148.1 RM)
High Flow I Low FlowRegulatoryThresholdsFor Injury
Exceedence of the maximum contaminant levels.[43CFR 11.62(c)]
Exceedence of the maximum contaminant levels.[43CFR 11.62(c)]
Summary Data - Mean (min, max) mg/L
No groundwater data available during Period 2 or 3.
Regulatory Thresholds for Injury (mg/L)Analyte
CadmiumCopper
Lead
Zinc
MCL0.0051.0*0.05
5.0
Summary Data - Mean (min. max) mg/L
No groundwater data available during Period 2 or 3
Regulatory Thresholds for Injury (mg/L)Analyte
CadmiumCopperLeadZinc
MCL0.005
1.0*0.05
5.0
Exceedence Data (# exceeding RegulatoryThresholds)
Exceedence Data (# exceeding RegulatoryThresholds)
No groundwater data available for Periods 2 or 3 tocompare to Regulatory thresholds
No groundwater data available for Periods 2 or 3 tocompare to Regulatory thresholds
RelatedBenchmark
ComparisonsStatement of Injury: No injury.
Commentary: The finding of no injury is in large part based upon a review of data for the 11-mile reach.Data for the 11-mile reach indicate that water quality in the valley fill system is not measurably influenced bysources within the 11-mile reach or upstream (e.g., California Gulch). Although metals are contributed to thegroundwater system from those sources, a combination of attenuation and dilution result in a rapid reductionin metals concentration. Domestic wells within the 11-mile reach are not in exceedence of the relevantcriteria. Given the increasing downstream dilution, no injury is expected below the 11-mile reach. There areseveral public and municipal wells located in the basin in the downstream area. Information reported fromEPA's Safe Drinking Water Information System (SDWIS) indicates that of the wells monitored by the Statein Chaffe and Fremont county, none were found to exceed MCLs during Period 3.
Representativeness of Data: Data provide adequate spatial coverage to confirm water quality is meeting therelevant criteria.
Data Gaps: None
Is current information sufficient for restoration planning?
Related Text: Sections 6.6, 6.6.1, 6.6.2 6.9, 6.9.1 and 6.9.2
There is no MCL for copper, but copper has a drinking water supply standard of 1.0 mg/L in Colorado. Zinc value is asecondary standard to address staining.
15The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
3. Geologic Resources:
A. Floodplain Soils (including floodplain mine-waste deposits)
16
Working Draft
Floodplain SoilsReach 5 - Two Bit Gulch to Lake Creek (2.2 RM)RegulatoryThresholdsFor Injury
1. Concentrations of metals in soils sufficient to cause a phytotoxic response... [43 CFR 11.62(e)(10)]2. Soil pH... [43 CFR 11.62(e)(2)]
Summary Data: No data are available for floodplain soils in Reach 5. Some small mine-waste deposits existin Reach 5; however, they have not been quantified with respect to surface area, volume, and chemicalproperties.
RelatedBenchmark
Comparisons
There are no data for plant-available metal concentrations for comparative purposes.
Statement of Injury: Field observations indicate low vegetation cover on several small mine-waste depositsin the upper portion of Reach 5. Soil pH and/or metal concentrations may be influencing plant growth onthese deposits, reflecting injury to soils at those locations. No other injury has been observed from fieldreconnaissance conducted in 2001.
Commentary: Vegetation growing in floodplain soils along this reach is productive, but plant growth onmine-waste deposits is poor. The potential for mine-waste deposits to influence metals concentrations inboth surface and groundwater is limited by the corresponding small loading potential relative to the largevolume of surface and groundwater moving through the valley.
Representativeness of Data: No data are available.
Data Gaps: The primary data gap is a lack of mapping of floodplain mine-waste deposits. Correspondingly,there are no data regarding the physical and chemical properties of soils and mine-waste deposits.
Is current information sufficient for restoration planning? No. Mapping of the deposits is necessary andphysical and chemical data on mine-waste deposits would also be helpful for restoration planning.
Related Text: Sections 6.7, 6.7.1 and 6.7.2
17The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Floodplain SoilsReach 6 - Lake Creek to Chalk Creek (29.5 RM)RegulatoryThresholdsFor Injury
1. Concentrations of metals in soils sufficient to cause a phytotoxic response... [43 CFR 11.62(e)(10)]2. Soil pH... [43 CFR 11.62(e)(2)]
Summary Data: Floodplain soils data exist for Reach 6. This includes total metal concentrations for lead andzinc for all sites sampled and cadmium and copper for a subset of these sites. There is some evidence ofanthropogenic influence in Reach 6.
RelatedBenchmark
Comparisons
There are no data for plant-available metal concentrations for comparative purposes.
Statement of Injury: The elevated concentrations of zinc in floodplain soils at the confluence of Clear Creek(Reach 6) indicated the potential for injury in this location. The source of these metals is unknown becausethis is not an area where mine-waste deposits were predicted to occur, based on stream morphology.Regardless of the source, total metal concentrations are potentially high enough to cause injury to soils at thislocation. However, this cannot be confirmed without further soil sampling and analysis.
Commentary: Other than the sample sites along Reach 6, there is no other evidence to indicate injury tofloodplain soils in the remaining portions of Reach 6. Floodplain soils are not considered injured in most ofReach 6 because total metal concentrations along these reaches are similar to Reach 0 and riparian vegetationdoes not show signs of metal toxicity.
Representativeness of Data: BLM data from 2000 includes samples from floodplain soils in Reach 6.However, data are for total metals and no data exists for plant-available concentrations.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.7, 6.7.1 and 6.7.2
18The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Floodplain SoilsReaches 7-10 - Chalk Creek to Pueblo Reservoir (108.3 RM)RegulatoryThresholdsFor Injury
3. Concentrations of metals in soils sufficient to cause a phytotoxic response... [43 CFR 11.62(e)(10)]4. Soil pH... [43 CFR 11.62(e)(2)]
Summary Data: Floodplain soils data exist for Reaches 7-9. This includes total metal concentrations for leadand zinc for all sites sampled and cadmium and copper for a subset of these sites.
RelatedBenchmark
Comparisons
There are no data for plant-available metal concentrations for comparative purposes.
Statement of Injury: There is no other evidence to indicate injury to floodplain soils in Reaches 7-9.Floodplain soils are not considered injured in these reaches because total metal concentrations along thesereaches are similar to Reach 0 and riparian vegetation does not show signs of metal toxicity.
Commentary: Vegetation growing in floodplain soils along Reaches 7-9 is productive, based on fieldobservations.
Representativeness of Data: BLM data from 2000 includes samples from floodplain soils in Reaches 7-9.However, data are for total metals and no data exists for plant-available concentrations.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.7, 6.7.1, 6.7.2, 6.9, 6.9.1 and 6.9.2
19The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
4. Biological Resources:
A. VegetationB. Benthic MacroinvertebratesC. Brown TroutD. Terrestrial Wildlife - Small MammalsE. Terrestrial Wildlife - Migratory Birds
20
Working Draft
VegetationReach 5 - Two Bit Gulch to Lake Creek (2.2 RM)RegulatoryThresholdsFor Injuiy
Tissue metal concentrations considered to be toxic to vegetation... [43 CFR 11.62(f)( 1 )(i)]
Summary Data: No data are available regarding plant tissue concentrations or physiological/morphologicaleffects in Reach 5.
RelatedBenchmark
Comparisons
No data are available for vegetation cover, production, or tissue metal concentrations.
Statement of Injury: Field observations confirm that vegetation is productive and shows no signs of injuryassociated with elevated metal concentrations in floodplain soils. However, plant growth is limited onseveral small mine-waste deposits along Reach 5, based on field observations. This indicates injury tovegetation where mine-waste deposits occur in Reach 5.
Commentary: Field observations along Reach 5 confirm that vegetation is productive in floodplain soils butnot on mine-waste deposits.
Representativeness of Data: No quantitative data are available.
Data Gaps: There is no data on vegetation cover, production, or tissue metal concentrations on mine-wastedeposits. Although these data would be informative, they are not essential for defining injury or forrestoration planning if mapping of mine-waste deposits is available.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8, 6.8.1, 6.8.1.1 and 6.8.1.2
21The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but raiher are to be used in conjunction with the SCR.
Working Draft
VegetationReaches 6-9 - Lake Creek to Pueblo Reservoir (137.8 RM)RegulatoryThresholdsFor Injury
Tissue metal concentrations considered to be toxic to vegetation... [43 CFR 11.62(0(0(0]
Summary Data: No data are available regarding plant tissue concentrations or physiological/morphologicaleffects in Reaches 6-9.
RelatedBenchmark
Comparisons
No data are available for vegetation cover, production, or tissue metal concentrations.
Statement of Injury: Field observations confirm that vegetation is productive and shows no signs of injuryassociated with elevated metal concentrations in floodplain soils. Vegetation type mapping conducted byColorado Division of Wildlife also indicates vegetation cover types are consistent with floodplain setting fornon-injured areas.
Commentary: Field observations along Reaches 6-9 confirm that vegetation is productive in floodplain soils.There are no identifiable deposits of flood plain mine-waste.
Representativeness of Data: Information is limited to field observations and vegetation type mapping.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8, 6.8.1, 6.8.1.1 and 6.8.1.2
22The matrices provide a brief summary of ihe information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Benthic Macroinvertebrates (1989-2000)Reach 5 - Two Bit Gulch to Lake Creek (2.2 RM)RegulatoryThresholdsFor Injury
\. Metal concentrations considered to be toxic to macroinvertebrates... [43 CFR 11.62(f)(l)(0]2. See surface water.3. Microcosm experiments... [43 CFR 11.62(f)(2)(iii)]
Summary Data: Based on results of microcosm experiments, metal concentrations in Reach 5 are sufficientto cause injury to benthic macroinvertebrates.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0.a. Community structure.
2. Results of microcosm experiments showing direct effects of metals.
Statement of Injury: There are no benthic data from Reach 5. Results of microcosm experiments conductedin 1998 showed that exposure of benthic communities to a mixture of cadmium, copper, and zinc at aconcentration similar to that measured in Reach 5 had a significant effect on community composition, speciesrichness of mayflies, and abundance of metal-sensitive species.
Commentary: Because water quality in Reach 5 is similar to that observed in Reach 3 (where injury wasobserved) and because metal levels in Reach 5 exceed those known to be toxic to metal-sensitive species, it islikely that benthic macroinvertebrates are injured in Reach 5.Representativeness of Data: There are no benthic data from Reach 5.
Data Gaps: The most significant data gap for benthic macroinvertebtrates in these reaches is the lack ofinformation from Reach 5 and the upper section of Reach 6 near the confluence of Lake Creek. Analysis ofbenthic data from these reaches would allow for a more precise definition of injury.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.2, 6.8.2.1 and 6.8.2.2
23The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Benthic Macroinvertebrates (1989-2000)Reach 6 - Lake Creek to Chalk Creek (29.5 RM)
RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to macroinvertebrates... [43 CFR2. See surface water.3. Microcosm experiments... [43 CFR 1 l.62(f)(2)(iii)]
1.62(0(1)0)]
Summary Data: Metal concentrations in Reach 6 are unlikely to cause injury to benthicmacroinvertebrates. Results of microcosm experiments show that current metal concentrations in thelower section of Reach 6 (Buena Vista) are generally below levels known to be toxic to benthicmacroinvertebrates.
RelatedBenchmark
Comparisons
2.
Comparisons to benchmark: Reach 0.b. Community structure.c. Metal levels in the caddisfly Arctopsyche grandis.d. Metal levels in periphyton.Results of microcosm experiments showing direct effects of metals.
Statement of Injury: Analysis of community structure for benthic macroinvertebrates collected from thelower portion of reach 6 (Buena Vista) shows significant improvement in species richness, diversity andabundance of metal-sensitive species. In particular, abundance of Heptageniidae, a highly metal-sensitivegroup, has increased 2-3 times since remediation of Leadville Mine Drainage Tunnel and California Gulchwas initiated in 1992. Abundance of these organisms after 1996 was similar to that observed in Reach 0.
Metal concentrations in the caddisfly Arctopsyche grandis collected from Reach 6 have significantlydecreased since 1994 and are similar to those values measured in Reach 0. The only exception to thispattern is an unexplained spike in zinc concentration in caddisflies in 1999. Zinc levels in periphytonmeasured at Reach 6 (1,031-1,273 ug/g) in 1995 and 1996 were also within the range of values observedin Reach 0 (409-4,200 |jg/g).
Results of microcosm experiments conducted in 1998 showed that exposure of benthic communities to amixture of cadmium, copper, and zinc at concentrations similar to those in Reach 6 had no effect oncommunity composition, species richness of mayflies, or abundance of metal-sensitive species.
Commentary: Water quality in Reach 6 is greatly improved by the dilution from lake Creek. Recentsurvey data indicate that there is no injury to benthic macroinvertebrates in the lower portion of Reach 6near Buena Vista.
Representativeness of Data: The most extensive data are from a long-term analysis of water quality andbenthic macroinvertebrates from a single station in Reach 6 (station AR8 in Buena Vista) (Clements,unpublished data). Metal levels in the caddisfly Arctopsyche grandis were based on data collected between1993 and 1999. Metal concentrations in periphyton were determined in 1990 (Kiffney and Clements 1993)and between 1995-1996 (Harrrahy 2000).
Data Gaps: None
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.2, 6.8.2.1 and 6.8.2.2
24The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Benthic Macroinvertebrates (1989-2000)Reaches 7-8 - Chalk Creek to Canon City (79.3 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to macroinvertebrates... [43 CFR2. See surface water.3. Microcosm experiments... [43 CFR 11.62(f)(2)(iii)]
Summary Data: Metal concentrations in Reaches 7 and 8 are generally below levels known to cause injury tobenthic macroinvertebrates.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0.a. Community structure.
2. Results of microcosm experiments showing direct effects of metals.
Statement of Injury: Few data are available from Reaches 7 and 8 of the Arkansas River. Results ofmicrocosm experiments conducted in 1998 showed that exposure of benthic communities to a mixture ofcadmium, copper, and zinc at concentrations similar to those measured at Reaches 7 and 8 had no effect oncommunity composition, species richness of mayflies, or abundance of metal-sensitive species. Quantitativecollections of benthic macroinvertebrates by the United States Fish and Wildlife Service (USFWS) showedno spatial trends that could be related to heavy metals in Reaches 7 and 8. Based on these results, there is noinjury to benthic macroinvertebrates in Reaches 7 and 8.
Commentary: The dramatic recovery of benthic macroinvertebrates observed in Reach 6 (Buena Vista)following remediation of upstream metal sources suggests that there is no injury to benthicmacroinvertebrates in Reaches 7 and 8.
Representativeness of Data: There are no macroinvertebrate surveys for Reaches 7 and 8 that are bothspatially and temporally comprehensive. The USFWS collected the only spatially extensive data availablefrom these reaches in 1995.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.2, 6.8.2.1 and 6.8.2.2
25The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Benthic Macroinvertebrates (1989-2000)Reaches 9-10 - Canon City to a Point 1.5 Miles below the Outlet of Pueblo Reservoir (37.1 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to macroinvertebrates... [43 CFR 11.62(f)(l)(0]2. See surface water.3. Microcosm experiments... [43 CFR 11.62(f)(2)(iii)]
Summary Data: Metal concentrations in Reaches 9 and 10 are generally below levels known to cause injuryto benthic macroinvertebrates.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0.a. Community structure.
2. Results of microcosm experiments showing direct effects of metals.
Statement of Injury: Very few data are available from Reaches 9 and 10 of the Arkansas River. Results ofmicrocosm experiments conducted in 1998 showed that exposure of benthic communities to a mixture ofcadmium, copper, and zinc at target concentrations greater than those generally observed at Reaches 9 and 10had no effect on community composition, species richness of mayflies, or abundance of metal-sensitivespecies. Quantitative collections of benthic macroinvertebrates by the LTSFWS showed no spatial trends thatcould be related to heavy metals. Based on these results, there is no current injury to benthicmacroinvertebrates in Reaches 9 and 10.
Commentary: The dramatic recovery of benthic macroinvertebrates observed in Reach 6 (Buena Vista)following remediation of upstream metal sources suggests that injury to benthic macroinvertebrates inReaches 9 and 10 is not occurring.
Representativeness of Data: There are no macroinvertebrate surveys for Reaches 9 and 10 that are bothspatially and temporally comprehensive. The USFWS collected the only spatially extensive data availablefrom these reaches in 1995.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.2, 6.8.2.1, 6.8.2.2, 6.9, 6.9.1 and 6.9.2
26The matrices provide a brief summary or the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Brown TroutReach 5 - Two Bit Gulch to Lake Creek (2.2 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to fish... [43 CFR 11.62(f)(l)(i)]2. See surface water.
Summary Data: Aqueous metal concentrations in Reach 5 are sufficient to cause injury to brown trout.Maximum metal concentrations, especially during high flow conditions, exceed levels known to be toxic tobrown trout based on results of laboratory toxicity tests. Surveys of brown trout show reduced abundance andbiomass in Reach 5 compared to Reach 0.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0a. Abundance (number per acre) and biomass (pounds per acre); andb. Length-frequency distributions.
2. Results of acute and chronic toxicity tests.
Statement of Injury: Metal concentrations in Reach 5 exceed levels known to be toxic to brown trout. Thebrown trout population in Reach 5 was characterized by reduced overall abundance but somewhat largerindividuals compared to the reference reach.
Commentary: Brown trout data from Reach 5 relatively sparse; however, because water quality in Reach 5was similar to that measured in Reach 3 (where injury was observed), we conclude that there is also injury tobrown trout in this reach.
Metal concentrations in Reach 5 exceed levels known to be toxic to brown trout. Abundance, biomass, andlength frequency distributions of brown trout from Reach 3 and Reach 5 were generally similar. The lowerabundance and biomass of brown trout in Reach 5 compared to Reach 0 is consistent with metal impacts.
Representativeness of Data: All brown trout data were obtained from the Colorado Division of Wildlife.Relatively few data are available in Reach 5 prior to remediation of the Leadville Mine Drainage Tunnel andCalifornia Gulch, and therefore it is difficult to assess temporal variation in brown trout biomass andabundance.
Data Gaps: Few data are available on brown trout populations in Reach 5.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.3, 6.8.3.1 and 6.8.3.2
27The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Brown TroutReach 6 - Lake Creek to Chalk Creek (29.5 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to fish... [43 CFR 11.62(f)(l)(i)]2. See surface water.
Summary Data: Aqueous metal concentrations in Reach 6 are unlikely to cause injury to brown trout. Metalconcentrations decrease significantly downstream from Lake Creek, and mean values approach the regulatorythreshold levels in Reach 6. However, maximum metal concentrations, especially during high flowconditions, may exceed levels known to be toxic to brown trout.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0a. Abundance (number per acre) and biomass (pounds per acre); andb. Length-frequency distributions.
2. Results of acute and chronic toxicity tests.Statement of Injury: The brown trout population in Reach 6 was characterized by reduced overall abundancebut somewhat larger individuals compared to the reference reach.
Commentary: Because of natural and anthropogenic changes in physical characteristics of the ArkansasRiver, particularly flow alterations associated with discharge from Lake Creek and poor instream habitat,quantifying the importance of metals relative to other habitat features is difficult in this reach.
Representativeness of Data: All brown trout data were obtained from the Colorado Division of Wildlife.Relatively few data are available in Reach 6 prior to remediation of the Leadville Mine Drainage Tunnel andCalifornia Gulch, and therefore it is difficult to assess temporal variation in brown trout biomass andabundance.
Data Gaps: Uncertainty associated with the relative influence of heavy metals and flow alterations in Reach6 immediately downstream from Lake Creek results in a data gap. Discharge from Lake Creek significantlydilutes heavy metals (a positive effect), but may also influence brown trout recruitment and growth. It ispossible that flow alterations immediately downstream from Lake Creek impact fish populations; howeverthere are no quantitative data showing direct effects of these flow modifications on brown trout. Aquantitative sampling effort of brown trout upstream and downstream from Lake Creek that examinesseasonal and annual variation in both flow and water quality may reduce uncertainty regarding the relativeimportance of these two stressors.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.3, 6.8.3.1 and 6.8.3.2
28The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Brown TroutReaches 7-8 - Chalk Creek to Canon City (79.3 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to fish... [43 CFR 11.62(00X0]2. See surface water.
Summary Data: Aqueous metal concentrations in Reach 7 and 8 occasionally exceed levels sufficient tocause injury to brown trout.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0a. Abundance (number per acre) and biomass (pounds per acre); andb. Length-frequency distributions.
2. Results of acute and chronic toxicity tests.
Statement of Injury: Brown trout biomass and abundance improved significantly in Reach 8 (Wellsville)compared to Reaches 3 and 6. Although overall abundance is lower compared to Reach 0, total biomass isgenerally similar to or greater than at the reference reach. The significant improvement in biomass andabundance of brown trout in Reach 8 and the similarity to the reference reach suggests there is no injury tobrown trout in Reach 8.
Commentary: Conditions within Reach 7 (e.g., water quality) are essentially the same as Reach 8, therefore,no injury is expected within Reach 7.
Representativeness of Data: All data were obtained from the Colorado Division of Wildlife. Relatively fewdata are available from Reaches 7 and 8 prior to remediation of the Leadville Mine Drainage Tunnel andCalifornia Gulch, and therefore it is difficult to assess temporal variation in brown trout biomass andabundance.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.3, 6.8.3.1 and 6.8.3.2
29The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Brown TroutReaches 9-10 - Canon City to a Point 1.5 Miles below the Outlet of Pueblo Reservoir (37.1 RM)RegulatoryThresholdsFor Injury
1. Metal concentrations considered to be toxic to fish... [43 CFR 11.62(f)(l)(i)]2. See surface water.
Summary Data: Aqueous metal concentrations in Reach 9 and 10 do not exceed levels sufficient to causeinjury to brown trout.
RelatedBenchmark
Comparisons
1. Comparisons to benchmark: Reach 0a. Abundance (number per acre) and biomass (pounds per acre); andb. Length-frequency distributions.
2. Results of acute and chronic toxicity tests.
Statement of Injury: Brown trout biomass and abundance improved significantly in Reach 8 at the Wellsvillestation. Although overall abundance is lower compared to Reach 0, total biomass is generally similar to orgreater than at the reference reach. The significant improvement in biomass and abundance of brown trout inReach 8 and the similarity to the reference reach suggests there is no injury further downstream in Reaches 9and 10.
Commentary: Natural longitudinal changes in the physicochemical and habitat characteristics of theArkansas River complicate comparisons with upstream reaches. Correspondingly, it should be noted thatwithin Reach 9 the Arkansas River transitions from a brown trout fishery.
Representativeness of Data: All data were obtained from the Colorado Division of Wildlife. Relatively fewdata are available from Reaches 9 and 10 prior to remediation of the Leadville Mine Drainage Tunnel andCalifornia Gulch, and therefore it is difficult to assess temporal variation in brown trout biomass andabundance.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.3, 6.8.3.1,6.8.3.2, 6.9, 6.9.1 and 6.9.2
30The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Small MammalsReach 5 - Two Bit Gulch to Lake Creek (2.2 RM)
Summary Data: There are no small mammal data for Reach 5.
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.
Statement of Injury: Based on declining metals concentrations in soils and vegetation from Reach 1 to 5 andbecause injury was not documented in areas of high exposure, small mammals are not expected to be injuredin Reach 5.
Commentary: There are areas of mine-waste deposits in Reach 5, but there are fewer areas compared toother reaches and they are all small deposits. Riparian vegetation is relatively dense in Reach 5 and basedon declining metals concentrations in soils and vegetation, metals exposure for small mammals is expectedto be minimal.
Representativeness of Data: There are no small mammal data for Reach 5 nor are there soils or vegetationdata.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.8.4, 6.8.4.1 and 6.8.4.2
31The matrices provide a brief summary of ihe information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Small MammalsReaches 6-10 - Lake Creek to a Point 1.5 Miles below the Outlet of Pueblo Reservoir (145.9 RM)
Summary Data: There are no small mammal data for Reaches 6-10.
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.
Statement of Injury: Injury to small mammals is not expected to occur in Reaches 6-10.
Commentary: Within the 11-mile reach, tissue concentrations and histopathology indicate that there is noinjury to small mammals. Because there are no known fluvial mine-waste deposits in Reaches 6-10 andbecause floodplain soils concentrations are relatively low, the potential for injury to small mammals is verylow.
Representativeness of Data: Floodplain soils data indicate that metals concentrations are well belowbenchmark values.
Data Gaps: None.
Is current information sufficient for restoration planning? No known injury requiring restoration.
Related Text: Sections 6.8.4, 6.8.4.1, 6.8.4.2, 6.9, 6.9.1 and 6.9.2
32The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Migratory BirdsReach 5 - Two-Bit Gulch to Lake Creek (31.7 RM)
RegulatoryThresholdsFor Injury
1. ALAD activity in assessment area is significantly less (alpha <0.05) than mean values for the control area andALAD suppression of at least 50 percent was measured... [43 CFR 11.62(f)(4)(v)(D)]
Average Blood Metal Concentrationsin American Dippers (mg/kg wet weight)
Average Liver Metal Concentrationsin American Dippers (mg/kg wet weight)
BloodReach 5Reach 0
StudyReference
Benchmark
14
27
Cadmium
0.040.04
0.01
NR
Copper
0.290.23
0.16
NR
Lead
0.220.11
0.04
0.20
Zinc
6.2913.93
4.09
60.00
Liver
Reach 5Reach 0
StudyReference
Benchmark
14
Cadmium
0.140.84
0.21
40.00NR - Not Reported
% ALAD Reduction Compared to the Study Reference
Copper
10.005.39
6.90
NR
Lead
0.610.19
0.01
2.00
Zinc
25.8634.31
21.38
60.00NR - Not Reported
Average Metal Concentrations In mixed InvertebrateSpecies (ppm, wet weight)
Reach
Reach 5Reach 0
n
410
%ALADReduction
Compared toStudy Reference
4939
%ALADReduction
Compared toReach 0
170
Reach(sample size)
Reach 0(n=12)
Reach 5(n=6)
Benchmark
Cadmium
1.6
1.3
2.0
Copper
5.6
8.5
NR
Lead
2.5
14.3
2.0
Zinc
119.7
214.2
50.0NR- Not Reported
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.2. Metal concentrations in blood.
Statement of Injury: ALAD suppression in American dippers was 49 percent compared to the Study Reference.This is representative of a significant exposure to lead. Blood lead exceeds the literature-based benchmark and liverlead is elevated compared to Reach 0. Invertebrates exceed the dietary benchmark for migratory birds. There isinjury to migratory birds in Reach 5.
Commentary: Aquatic invertebrates continue to accumulate lead which results in significant environmentalexposure for dippers.
Representativeness of Data: The American dipper studies were conducted to evaluate metals exposure and ALADsuppression. Depressed ALAD is consistent with the elevated lead in blood and liver.
Data Gaps: These data represent potential metals exposure to migratory birds via the aquatic food chain; however,they do not represent exposure via terrestrial food chains that could result from fluvial deposits present in Reach 5.There are no data available that represent migratory birds with a terrestrial food base.
Is current information sufficient for restoration planning? Yes, the current information is sufficient for restorationplanning. The current information indicates that the fluvial deposits are a source of metals and represent potentialexposure pathway for terrestrial feeding migratory birds. Injury specific data for terrestrial feeding migratory birdswould not influence restoration planning.
Related Text: Sections 6.8.5, 6.8.5.1 and 6.8.5.2
33The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Migratory BirdsReach 6 - Lake Creek to Chalk Creek (31.7 RM)
RegulatoryThresholdsFor Injury
1. ALAD activity in assessment area is significantly less (alpha <0.05) than mean values for the control area andALAD suppression of at least 50 percent was measured... [43 CFR 11.62(f)(4)(v)(D)]
Average Blood Metal Concentrationsin American Dippers (mg/kg wet weight)
Average Liver Metal Concentrationsin American Dippers (mg/kg wet weight)
BloodReach 6Reach 0Study
ReferenceBenchmark
n1014
27
--
Cadmium0.010.04
0.01
NR
Copper0.160.23
0.16
NR
Lead0.130.11
0.04
0.20
Zinc3.7713.93
4.09
60.00
LiverReach 6Reach 0
StudyReference
Benchmark
n44
14
-
Cadmium2.000.84
0.21
40.00
Copper
8.095.39
6.90
NR
Lead0.840.19
0.01
2.00
Zinc
29.7934.31
21.38
60.00NR - Not Reported
% ALAD Reduction Compared to the Study Reference
NR - Not Reported
Average Metal Concentrations In mixed InvertebrateSpecies (ppm, wet weight)
Reach
Reach 6Reach 0
n
910
%ALADReduction
Compared toStudy Reference
5639
%ALADReduction
Compared toReach 0
280
Reach(sample size)
Reach 0(n=12)
Reach 6(n= l l )
Benchmark
Cadmium
1.6
2.1
2.0
Copper
5.6
9.3
NR
Lead
2.5
26.3
2.0
Zinc
119.7
277.4
50.0
1. Metal concentrations in organs.2. Metal concentrations in blood.
INK- Not ReportedRelated
BenchmarkComparisons
Statement of Injury: ALAD in American dippers is suppressed by 56 percent compared to the Study Reference.Blood and liver lead are elevated, but do not exceed the benchmark. Lead concentrations in invertebrates exceedthe dietary benchmark for migratory birds. There is injury to migratory birds in Reach 6.
Commentary: American dipper data are from the Granite area and the tree swallow data are from near Buena Vista.Blood and liver lead concentrations decrease compared to Reach 5, but continue to be elevated compared to Reach0. The tree swallow colony sampled in Reach 6 is located in the open valley floodplain-a potential sedimentdeposition area. However, none of the swallow data exceeded benchmark values.
Representativeness of Data: Both the tree swallow data and the American dipper studies were conducted toevaluate metals exposure and ALAD suppression. The swallow and dipper data provide a good representation ofmetals exposure from aquatic invertebrates.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes, the current information is sufficient for restorationplanning.
Related Text: Sections 6.8.5, 6.8.5.1 and 6.8.5.2
34The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Migratory BirdsReaches 7-8 - Chalk Creek to Canon City (79.3 RM)RegulatoryThresholdsFor Injury
1. ALAD activity in assessment area is significantly less (alpha <0.05) than mean values for the controlarea and ALAD suppression of at least 50 percent was measured... [43 CFR 11.62(f)(4)(v)(D)]
Average Blood Metal Concentrationsin American Dippers (mg/kg wet weight)
Average Liver Metal Concentrationsin American Dippers (mg/kg wet weight)
Blood
Reach 7Reach 8Reach 0Study
ReferenceBenchmark
3014
27
Cadmium
0.010.010.04
0.01
NR
Copper
0.070.130.23
0.16
NR
Lead
0.040.050.11
0.04
0.20
Zinc
2.884.0013.93
4.09
60.00
Liver
Reach 7ReachSReach 0
StudyReference
Benchmark
13
14
Cadmium
0.030.170.84
0.21
40.00
Copper
10.005.865.39
6.90
NR
Lead
0.040.090.19
0.01
2.00
Zinc
22.1825.5734.31
21.38
60.00NR - Not Reported
% ALAD Reduction Compared to theStudy Reference
NR - Not Reported
Average Metal Concentrations In mixed InvertebrateSpecies (ppm, wet weight)
Reach
Reach 7Reach 8Reach 0
n
42410
%ALADreduction
compared toStudy Reference
482539
%ALADreductioncomparedto Reach 0
1400
Reach(sample size)
Reach 0(n= 12)Reach 7 (n=3)
Reach 8 (n=30)Reach 9 (n=2)
Cadmium
1.60.60.60.1
Copper
5.66.67.14.9
Lead
2.51.73.21.5
Zinc
119.7153.7138.641.4
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.2. Metal concentrations in blood.
Statement of Injury: ALAD in American dippers was suppressed by 48 percent in Reach 7 and 25 percent inReach 8 compared to the Study Reference. Blood lead concentrations in Reaches 7 & 8 were similar toReach 0. All tissue metal concentrations were below benchmark values. All tissue metal concentrationswere below benchmark values. ALAD suppression in tree swallows was 1-35 percent compared to Reach 0and nest data from tree swallow colonies showed no reproductive impairment. There is no injury tomigratory birds in Reaches 7 and 8.
Commentary: Even though ALAD suppression was 48 percent in Reach 7, environmental exposure is nearReach 0 levels for lead and other metals. Tissue metal concentrations for Reaches 7 and 8 are near Reach 0levels and do not exceed benchmarks.
Representativeness of Data: Both the tree swallow and American dipper studies were conducted to evaluatemetals exposure and ALAD suppression. While not all reaches had the same number of samples, there was asufficient number of samples to evaluate injury. Along with aquatic invertebrate samples, these data arerepresentative of exposure and injury to migratory birds dependant upon the aquatic food chain.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes, the current information is sufficient forrestoration planning.
Related Text: Sections 6.8.5, 6.8.5.1 and 6.8.5.2
35The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife -Migratory BirdsReaches 9 - Canyon City to Pueblo Reservoir (29 RM)RegulatoryThresholdsFor Injury
1. ALAD activity in assessment area is significantly less (alpha <0.05) than mean values for the controlarea and ALAD suppression of at least 50 percent was measured... [43 CFR 11.62(f)(4)(v)(D)]
2. Reduced reproduction... [43 CFR 11.62(f)(4)(v)(B)]Summary Data
Average Metal Concentrations In mixed Invertebrate Species (ppm, wet weight)
Reach(sample size)
Reach 0(n=12)
Reach 9(n=2)
Cadmium
1.6
0.1
Copper
5.6
4.9
Lead
2.5
1.5
Zinc
119.7
41.4
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.2. Metal concentrations in blood.
Statement of Injury: Based on decreasing environmental exposure, injury to migratory birds is not expectedin this reach.
Commentary: Concentrations in aquatic invertebrates are lower than Reach 0 levels for all metals andconcentrations in other media have generally decreased.
Representativeness of Data: There are no migratory bird data for Reach 9, but there are data for aquaticinvertebrates. These data indicate decreasing food chain exposure, which is consistent with water chemistrydata.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes, the current information is sufficient forrestoration planning.
Related Text: Sections 6.8.5, 6.8.5.1 and 6.8.5.2
36The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
Working Draft
Terrestrial Wildlife - Migratory BirdsReach 10 - Pueblo Reservoir (inlet to a point 1.5 miles below the outlet; 8.1 RM total)RegulatoryThresholdsFor Injury
1. ALAD activity in assessment area is significantly less (alpha <0.05) than mean values for the controlarea and ALAD suppression of at least 50 percent was measured... [43 CFR 11.62(f)(4)(v)(D)]
Custer et al. (2003 In Press) collected 3 swallow samples in 1997 and 3 samples in 1998. Mueller et al.(1991) sampled adult and nestling waterfowl and shorebirds in 1991.
RelatedBenchmark
Comparisons
1. Metal concentrations in organs.2. Metal concentrations in blood.
Statement of Injury: All bird tissues sampled were below benchmark values. There does not appear to be asignificant route of exposure that would result in injury to migratory birds.
Commentary: Metal concentrations in all environmental media are at or lower than Reach 0. The existingdata indicate that there is little chance of food-chain exposure.
Representativeness of Data: There are few bird samples, but the existing data are collected in different yearsand represent a variety of species.
Data Gaps: None.
Is current information sufficient for restoration planning? Yes.
Related Text: Sections 6.9, 6.9.1 and 6.9.2
37The matrices provide a brief summary of the information contained in the Site Characterization Report (SCR). The matrices are not intended to be used asstand alone documents but rather are to be used in conjunction with the SCR.
7.0 SMELTER-EMISSIONS AIRSHED
7.1 Purpose and Objectives of Airshed Survey
Deposition of airborne stack emissions from historic smelter operations occurred in areas
surrounding the smelters within the Leadville Mining District. Smelter emissions consisted of gasses and
particles. The residue of gaseous emissions has dissipated over time; however, particulate deposition is
still evident. Particulate smelter emissions contain metals derived primarily from ore. Predominant
metals that would have been associated with historic smelter emissions in the Leadville area include
arsenic, cadmium, copper, lead, and zinc. Delineation of the area of deposition of smelter-stack emissions
(or the smelter "Airshed" as defined by the Work Plan) is of interest in evaluating the potential for
specific smelter-related impacts to the natural resources of the UARB,
The objectives of the airshed delineation are to identify the information available to characterize
the smelter-emissions depositional zone and to determine if additional data are needed to define the
boundaries of the smelter airshed. To meet these objectives, surficial soil metals concentrations from
existing data sources were mapped using a GIS. The GIS mapping results were further considered with
regard for the potential for injury to natural resources from historic smelter deposition. Because of the
overlap of smelter deposition with areas of mining disturbance it is important to consider the
characteristics that distinguish smelter-emission deposition from other mining-related impacts to soils
and/or vegetation.
7.2 Approach
The majority of the smelting activities in and around Leadville occurred during the late 1800s and
very early 1900s. Smelters in the UARB have not operated for many years. Metals delivered to soil via
airborne emissions may have since been influenced by water and/or wind erosion or by dissolution in and
transport by infiltrating water. For these reasons, the entire area of smelter-emissions deposition may no
longer be readily apparent. Investigations at other historical smelter sites (e.g., Black and Veatch 1988;
Wixson et al. 1988; Dames and Moore 1991; Bechtel 1992) have shown that areas of smelter deposition
may be identified from the relative concentrations of metals found in undisturbed, or minimally disturbed,
surficial soils. Those studies have also confirmed that the total metals content of undisturbed soils
decreases with increasing distance from smelter-emission sources, as expected for an air emissions
source. Metals concentrations at the outer extent of the deposition area, where relatively small amounts
of particulate emissions were deposited, may be indistinguishable from their background concentrations
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in soil. Therefore, delineation of the airshed must focus on the areas where soil conditions due to smelter-
emissions deposition are readily distinguishable from natural variability.
Relatively insoluble metals with limited mobility in the soil environment (e.g., lead), serve as the
best indicators of historical smelter emissions because their distributions in soil are the least likely to
change over time. Lead contamination of soil is expected to be persistent due to lead's low solubility and
mobility in soil. For this reason, the lead concentration in undisturbed soil often serves as a useful
indicator of past deposition of emissions from smelters. The other metals found in Leadville district ores,
such as arsenic, cadmium, copper, and zinc, may also be useful for identifying soil impacted by smelter
emissions. Data describing the concentrations of these metals in soil are included in the project database.
As described in prior report sections, there are a number of other sources of lead to the soils in
Leadville in addition to smelter emissions. These sources include the natural (or background) sources of
lead to soils; mining-related sources such as ore and waste rock piles, mine-waste and slag; and other
sources not related to mining activities such as historic automobile emissions and deteriorated lead-based
paint. In order to delineate an area of smelter-emissions deposition using lead concentrations in soil, it is
important to be able to distinguish smelter-emmissions from other sources of lead.
Several types of information may be used to assess the relative importance of smelter emissions
compared to other source emissions in contributing to the current levels of soil contamination and
delineating the smelter airshed in the UARB, including:
• Locations and operating histories of smelters;
• Long-term meteorological data describing predominant wind directions and wind speeds;
• Metals concentrations, especially lead, in shallow undisturbed soils; and
• Characterization of the solid-phase (i.e., mineral) associations of metals, especially lead,
related to smelter emissions as opposed to metals from other sources.
The following section identifies the data that are currently available to provide the information
listed above.
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7.3 Existing Sources of Relevant Data
A review of existing reports and data lead to several sources of information that are relevant to
delineation of the smelter airshed. The data discovered and compiled through this effort originate
primarily, although not exclusively, from investigations of the California Gulch Superfund/NPL Site (the
Site). A summary of the information found in existing sources is provided below.
7.3.1 Historical Smelter Information
The Site includes a number of former smelters where lead-silver and lead-zinc ores were
processed. A report prepared by Jacobs Engineering for the USEPA (Jacobs 1991) contains a brief
history of each of 17 smelters identified within the Site, including information describing the smelter
facilities, smelting methods, and dates of operation. This information, summarized in the Jacobs report,
was used to develop sampling plans for remedial investigations within the Site (Table 7-1).
Smelters previously operating in the vicinity of Leadville processed primarily lead-sliver and
lead-zinc ores from the Leadville Mining District. Smelting operations in this area started in 1875, and by
1879 there were 15 smelters in operation in the immediate vicinity of Leadville. However, most of the
smelting operations were relatively short-lived, and by 1900 there were only three operating smelters
remaining. The last smelter to cease operation was the Arkansas Valley (AV) Smelter, which operated
nearly continuously from 1879 to 1961.
Several smelters were located along California Gulch west of the City of Leadville (Grant/Union,
Leadville, Western Zinc, La Plata, American, AV, California, Lizzie, and Malta Smelters, listed from east
to west). Among these, the AV Smelter, the longest operating smelter in the area, was located on the
north side of California Gulch at Stringtown. Smelters were also located along Evans Gulch (Ohio and
Missouri, Cummings and Finn, Gage-Hagaman, and Raymond, Sherman and MacKay Smelters), within
the City of Leadville (Harrison Reduction Works) and east of Leadville (Adelaide and Little Chief
Smelters). The locations of these smelters are shown on Figure 7-1 (Walsh 1993a, adapted from Jacobs
1991).
When operating, smelters generated slag, flue dust, fugitive emissions, and stack emissions. Dust
chambers were typically used to retain dust before furnace gases were vented through a stack. Dust
retention was later improved through the use of bag houses. By approximately the mid 1890s, bag
houses, which reduced the amount of dust in stack emissions, were used by most of the Leadville-area
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smelters. Stack emissions also contained metallic and sulfur vapors. In addition, the smelter stacks were
"blown" when furnaces needed repair or cleaning or were shut down. When the stacks were blown the
emissions would have also contained the smelting residue coating the furnace walls and stack.
7.3.2 Remedial Investigation of California Gulch Soils
A soil investigation study was performed to obtain the data necessary to conduct feasibility
studies and baseline risk assessments for the NPL site (CDM 1994). These data were used to determine
the concentrations of the elements of potential concern (identified by USEPA as arsenic, cadmium, lead,
mercury, and zinc) and their distribution in soil, as well as to identify the source(s) of the elements of
potential concern.
A total of 3,589 soil samples were collected from 719 locations during 1991 and 1992. At most
locations, samples were collected from five depth intervals (0 to 1 inch, 1 to 2 inches, 2 to 6 inches, 6 to
12 inches, and 12 to 18 inches). Soil sample locations were dictated by a grid pattern that extended over
the entire site and some adjacent areas. At each sampling location, the soil was classified according to
location, surface cover, and soil type (native, fill, or mine-waste). Native soils were also described as
undisturbed or disturbed.
All samples were dried and sieved prior to analysis for eleven elements (silver, arsenic, barium,
(XRF). Selected samples were also submitted to CLP laboratories for analysis of the same elements plus
potassium, magnesium, aluminum, and mercury. For each sample, two size fractions (less than 2 mm and
less than 250 um in diameter) were analyzed. Data analyses were performed using the results from XRF
analyses. A metals speciation study was conducted independent of the soil investigation using a subset of
the samples collected for the soil investigation study. The results from the speciation are presented
elsewhere (see below).
The distributions of metals in soils were presented on two sets of contour maps using data from
(1) all soils, and (2) undisturbed native soils. Kriging analysis was used to generate the iso-concentration
maps presented in the report.
The lead iso-concentration contour map for "all soils" (Figure 7-2, from CDM 1994) shows
elevated concentrations in several areas of the site, including: east of the City of Leadville, where mine-
waste piles are present; northeast of Leadville near the historic Evans Gulch smelter area; lower
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California Gulch around Stringtown and the AV Smelter site; extending north and south from California
Gulch; and near Colorado Mountain College at Georgia Gulch. An iso-concentration contour map for
lead in relatively undisturbed native soils only (Figure 7-3, from COM 1994) shows more limited areas of
elevated lead concentrations. Evans Gulch and lower California Gulch — are revealed as the dominant
areas of elevated lead concentrations in the top 1 inch of undisturbed native soil likely associated with
former smelting activities.
7.3.3 Smelter Remedial Investigation
The focus of the Smelter Remedial Investigation (RI) (Walsh 1993a) was to collect data to
identify and evaluate the impacts of historical smelting operations on human health and the environment
within the boundaries of the California Gulch NPL Site. The Smelter RI was performed concurrently
with the Soil Investigation (COM 1994) discussed above, and data from both studies were used to support
this investigation.
The purpose of the Smelter RI was to describe the geographic distribution of soil metals
(primarily arsenic, cadmium, lead, and zinc) originating from the smelter facilities. The Smelter RI
consisted of several tasks including: literature and document review; site reconnaissance of smelter sites
to identify potentially contaminated areas (e.g., historic bag houses and dust chambers); air-dispersion
modeling to establish probable wind depositional patterns and the potential extent of airborne emissions;
soil sampling and laboratory testing and analysis; and data evaluation and summary.
Air-dispersion modeling was performed to evaluate historic depositional patterns and identify
potential locations for sampling associated with maximum deposition of airborne emissions from the 17
historical smelter operations identified by Jacobs. The Industrial Source Complex Short Term (ISCST)
model was used to estimate the contributions of four metals (arsenic, cadmium, lead, and zinc) in historic
smelter emissions to their concentrations in soil across the site. This model requires meteorological data
and information to describe stack emissions from the various historical smelters.
The meteorological data used to define the model input parameters were collected for a one-year
period in 1990 and 1991 at two locations, the Yak Tunnel and Colorado Mountain College. These data
indicate that wind directions and wind speeds vary seasonally and that the annual prevailing wind
directions, in order of greatest duration, are expected to be from: (1) northwest to northeast 35 percent of
the time, (2) east northeast to east southeast 31 percent of the time, and (3) south to west southwest less
than 20 percent of the time.
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The information available to describe past smelter operations and stack emission characteristics
was extremely limited. The types, durations and rates of historic emissions from stacks associated with
the 17 smelters identified in the Leadville area were variable over time and among the different smelters.
Input parameters used in the ISCST model were generally based on assumptions about operations rather
than documented practices.
Given these inputs, the resultant model predicted metals concentrations across a rectangular grid
of emission receptor points that extended 15.5 kilometers (km) north to south and 18.5 km east to west
across the study area. These results are presented on metals distribution maps showing the cumulative
total metals (sum of arsenic, cadmium, lead and zinc) contribution to soil from all smelter emissions
combined. These results were then used to select the locations and extent of soil sampling used to support
the Smelter RI. Given the uncertainty in the model inputs and resulting output, the model results were not
used to delineate the airshed area without field confirmation through soil sampling and analysis.
Soil samples (3,589) were collected from 719 locations during the soil investigation study (Camp
Dresser & McKee (COM) 1994), and Walsh analyzed an additional 276 samples that they collected from
80 new locations. The area where soil sampling was performed lies roughly within the boundaries of the
California Gulch NPL Site except to the south of Smeltertown in California Gulch and also immediately
south of the East Fork Arkansas River where additional soil samples were collected outside the NPL site
boundaries. The additional soil samples were analyzed for arsenic, cadmium, lead, and zinc by XRF.
The same sample depths and sample preparation and analysis methods were used by CDM and Walsh,
and the results from these two studies are considered comparable. During soil sampling, each sample
location was evaluated by a soil scientist, and the soil was described as either disturbed or undisturbed
based on whether or not mine-waste, fill material, or human artifacts were present.
The largely undisturbed area to the south of California Gulch and downwind of the former AV,
California, La Plata, and American smelters was presumed to be an area impacted exclusively by smelter
emissions and was used as the control area. The smelter-emissions control area is bounded by Georgia
Gulch to the east, California Gulch to the north, Highway 24 to the west, and the southern boundary of
the study area. Most of this area lacks any evidence of historic mining activities, yet metals
concentrations in soils are high relative to other undisturbed areas. The smelter-emissions control area is
predominantly forested but also includes bare ground immediately south of the former AV Smelter.
Metals ratios in soils from the smelter-emissions control area were used to characterize a
signature associated with soils that contain smelter-emissions fallout. The data from the less than 2-mm
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size fraction and 0- to 1-inch depth interval were used to characterize the smelter-emissions signature.
The control-area approach is based on the assumption that the chemical and physical changes that have
taken place at the control site are representative of chemical and physical changes that have occurred in
other areas where smelter emissions have been the primary source of metals to soils. Given this
assumption, the signatures of the smelter-emissions control area reflect both the effects of smelter-
emission fallout and the chemical and physical changes that have occurred since the cessation of smelting
in this area.
Linear-regression methods were used to describe co-variation of lead concentrations with the
concentrations of other metals in soils from the smelter-emissions control area. The linear relationships
identified were then used as the basis for comparison to metals concentrations in soils from other parts of
the study area. For control sites, regression analysis was used to identify metal pairs having significantly
correlated (99 percent confidence) concentrations. The metal signature was then described for
significantly correlated combinations, plus or minus one standard deviation of the regression equation. A
total of nine metals correlations were found to be significant in 0- to 1-inch depth soils from the smelter-
emissions control area.
Using the metals signature from control-area soils at the 0- to 1-inch depth, the metals contents of
0- to 1-inch deep soils from the other sites were tested for positive or negative agreement with the
smelter-emissions signature. For example, the results of comparison of the control lead:zinc ratios to the
same ratio in undisturbed soils across the study are shown on Figure 7-4 (Walsh 1993a). In cases where
at least seven of nine of the metals ratios were shown to have metals contents consistent with the control-
area signature, the soil from that location was considered to share the smelter-emissions signature, as
shown on Figure 7-5 (Walsh 1993a). As shown on Figure 7-4, there are a number of locations where the
lead:zinc ratio in undisturbed surface soil does not match the smelter-emissions control-area signature,
even though the location clearly lies within the expected boundaries of the smelter airshed. These
examples likely result from the difficulties in predicting a smelter signature that would apply to emissions
from numerous smelter operations that operated differently and at different periods of time within the
same area. For this reason, the accuracy of the smelter-signature approach developed by Walsh for this
study remains unknown.
Results obtained from the smelter-signature comparison method were used to delineate an area
impacted by smelter emissions as shown on Figure 7-6 (Walsh 1993a). The shaded area on Figure 7-6
represents the distribution of sampled sites that have a metals signature resembling the smelter-emissions
control area, including both undisturbed and disturbed sites. The undisturbed locations resembling the
control area are also shown individually. The shaded area was delineated using a 750-foot buffer zone
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around each sample site that resembled the control area. The width of the buffer zone is appropriate to
the sampling grid dimensions of 1,000 ft2 in unpopulated areas and 500 ft2 in populated areas.
Based on these results, the areas exhibiting smelter-emission signatures include:
• Areas south of U.S. Highway 24 and between upper California Gulch and the Arkansas
River;
• The west and northwest portions of the study areas; and
• Portions of Evans Gulch that correspond to the former smelter sites in the gulch and a
small area near the Little Chief Smelter site.
Areas determined to be impacted primarily by sources of metals other than smelter emissions
(e.g., mine-waste, mine-waste slag) include:
• Much of the City of Leadville, which contains various types of fill;
• The eastern portion of the study area, which contains alluvial mine-waste and mine-wasterock;
• California and Malta Gulches, which contain alluvial mine-waste and/or mine-wasterock;
• Hecla mine-waste area;
• Lake Fork Trailer Park area, which consists of fill material; and
• Channels and low terrace deposits along the Arkansas River at California Gulch, whichare impacted by fluvial mine-waste.
This empirical approach was described as having several benefits over a modeling approach in
delineating the deposition airshed, as follows:
• Model input parameters were estimates and subject to error; and
• Observed metals concentrations relative to a control site are good indicators of smelter-emission deposition because the metals contents of soils are not expected to have
changed significantly following deposition, except possibly in areas subject to erosion
(steep slopes, stream channels, etc.).
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7.3.4 Characterization of Pre-Mining Soil Conditions
In support of the smelter investigations, Walsh also performed a study to describe pre-mining soil
geochemistry within the Leadville Mining District (Walsh 1994). The data used for this study were
primarily from other soils investigations of the California Gulch Site, including the Smelter RI (Walsh
1993 a) and Soils Investigation (COM 1994), but they also included metals data for soils collected from
undisturbed sites within the mineralized areas around the Site. Statistical methods (cumulative
probability plots) were used to differentiate between the "pre-mining" concentrations of metals, or
background concentrations, and their concentrations in soils disturbed by mining activities. Detailed soil
and surficial geology maps were also produced as part of this study. Information from the detailed soil
and surficial geology maps was used to identify and define seven soil-geologic units, which are
consequently tied to both the geomorphology and geochemistry of the soil parent materials.
The soil-geologic-unit map shows the locations of these seven general units. Areas of native,
undisturbed soils are shown as well as soils containing construction fill, mine-waste, waste rock and slag,
mechanically altered soils, eroded soils, and areas covered by buildings and parking lots. The native,
undisturbed soils have all soil horizons present and no evidence of man-made disturbance.
Pre-mining (or background) metals concentrations are presented for soils by "landscape position"
and by soil-geologic unit. The landscape position refers to either upland or alluvial soils. The findings
(Table 7-2) show that metals contents in alluvial soils are generally higher than those in upland soils,
primarily due to natural weathering and transport processes that concentrate heavier minerals, such as
common metallic-ore minerals, in depositional environments. In upland areas, background metals
concentrations were generally found in soil below the A horizon, suggesting that the downward transport
of metals is not a very active process in upland landscape positions. The metals concentrations of alluvial
soil horizons are more variable than the upland horizons, perhaps due to greater mobility of metals in the
alluvial soils. The pre-mining metals contents of soils from upland areas are within the low end of the
ranges of metals contents reported by Schacklette and Boemgen (1984) for soils of the western United
States. The arsenic and lead contents of pre-mining alluvial soils, however, appear greater than those
reported for western U.S. soils.
Walsh (1994) also identified background metals concentration ranges for each of the soil-
geologic units, but concluded that the ranges given for upland and alluvial landscape positions may better
represent pre-mining metal ranges over the entire site. Interestingly, the mean arsenic, cadmium, copper,
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and lead concentrations of the top 1 inch of undisturbed soils are generally higher than in the top 1 inch of
disturbed soils for a number of the soil-geologic units described. Walsh explained that the elevated
metals contents in the top 1 inch of undisturbed soils relative to disturbed soils may be due to:
• The relative immobility of metals in arid climates with soils of near neutral pH, such asLeadville;
• The higher organic matter content of surficial soils, which leads to greater sorption of
positively charged metal cations such as copper and lead; and
• Surficial soil contamination by non-disruptive processes, such as air deposition of metals.
7.3.5 Lead Speciation Studies
Several studies were performed to describe the solid-phase associations of metals present in soils
and other environmental media from the California Gulch NPL Site. The information provided by these
studies is useful for distinguishing soils where elevated metals contents have resulted from smelter-
emissions deposition rather than from other mining, or non-mining, related sources.
Selected soil samples from the studies described above were included in a site-wide metals
speciation investigation. The final metals speciation report was prepared jointly by CDM, University of
Colorado and the R.J. Lee Group (CDM et al. 1994; Drexler and Weston 1995) and includes raw data
from a total of 320 samples of soil, mine-waste (waste piles and mine-waste), environmental sample types
(residential soils and interior dust), and. fluvial deposits/stream sediments. Approximately 15 of the soil
samples included in this study are from locations within the area delineated by Walsh (1993 a) as impacted
by smelter emissions. Maps included in this report show that the lead mass in surficial soils from these
areas is primarily associated with iron and manganese oxides, phosphate, and organic carbon phases, with
minor amounts of lead in silicate and "slag" phases.
Walsh also performed a lead speciation study (Walsh 1993b), to support the selection of the
hillside south of the AV Smelter site as a control area for smelter emissions and to provide additional
characterization data for identification of soils containing metals derived from smelter emissions. Soils
from the hillside south of the AV Smelter site have lead levels ranging from several hundred mg/Kg to
almost 9,000 mg/Kg in surface samples. Other metals are also enriched compared to their concentrations
observed in the other parts of the study area (Walsh 1993a). The AV hillside soils lie downwind from the
smelter site and are likely to have been impacted primarily by airfall products from the AV Smelter.
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These soils have a low pH (4.5 to 6) due to the low buffering capacity of the soils and the past deposition
of S02 gases from smelter emissions. The undisturbed soil surface on this hillside has a dark, sooty
coating that resembles desert varnish. This coating is thin but high in lead-carbon-oxygen compounds.
The majority of the lead-bearing particles observed in these soils consist of various carbonaceous and
siliceous fly-ash particles, some of which can be up to several millimeters in diameter. Walsh described
an ash particle with a siliceous, low-iron, glassy matrix (in contrast to the high-iron matrix of slag)
containing numerous small particles of lead oxide and sulfate.
In the samples considered representative of soils containing stack fallout, Walsh observed a small
proportion of lead in organic and high-silica materials (carbonaceous and siliceous ash), a larger
proportion of lead in relatively soluble forms, such as lead oxide (PbO) and lead sulfate (PbSO4), and/or
readily exchangeable surface sorption sites and the highest proportion either chemically sorbed to soil
minerals, such as iron and manganese oxides, and contained in oxide and phosphate phases, or bound
with more resistant mineral phases, such as sulfides and silicates. The presence of carbonaceous and
siliceous ash particles, even in small amounts, appears indicative of the presence of smelter-emissions
fallout.
7.3.6 Baseline Risk Assessments
The Baseline Human Health Risk Assessment (Weston 1996) and the Ecological Risk
Assessment for the Terrestrial Ecosystem (Weston and Terra 1997) rely on soils data collected by Walsh
(1993a and 1994) and CDM (1994) in the studies described above as well as data from other sources for
residential environmental media, mine-wastes, and plant and animal tissue. The lead dataset used to
perform the risk assessments is described in Consolidated Findings of Soil-Lead Investigations at the
California Gulch NPL Site (Weston 1994). Human health risks were evaluated using data describing the
metals concentration from the top 6 inches of soil (as a depth-weighted average) from residential areas.
Ecological risks were evaluated primarily using data describing the metals contents (arsenic, cadmium,
copper, lead, and zinc) in the top 2 inches of soil from nonresidential areas.
The ecological risk assessment also utilized data for waste rock, mine-waste piles, slag, fluvial
mine-waste, and sediment from nonresidential areas and biological data (small mammals and vegetation)
collected by Asarco and Resurrection (Stoller 1996). The metals concentration data for co-located
surficial soil and vegetation samples are included in the project database. Data collected for Resurrection
from the upper California Gulch area show little correlation between total metals contents and surface
soils and plant ecosystem diversity or plant metals content. In addition, AB-DTPA extractable metals (a
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potential measure of bioavailable metals) contents are not correlated with the total metals contents in soils
or co-located plant metals contents (Stoller 1996). Stoller (1996) reported that the only areas in upper
California Gulch showing evidence of phytotoxic stress are areas adjacent to mine-wastes. Evidence of
phytotoxic stress is absent from other areas remote from mine-waste.
7.3.7 Other Investigations
In addition to the studies performed to support investigations of the California Gulch Superfund
Site, there are several other studies that provide data that are useful to delineate the smelter airshed.
Those data are described below.
7.3.7.1 BLM Soils Investigation
During the summer of 2000, the BLM collected soil samples from the upper 1 inch of soil at
approximately 70 locations within the UARB. Thirteen of those were upland locations within Iowa
Gulch, approximately 1.5 miles south of California Gulch. These samples were referred to as the
"airshed" samples. Soils were also collected from a variety of 2- to 6-inch depth intervals to a maximum
depth of 26 inches at locations predominantly within riparian areas along the Arkansas River from
California Gulch downstream to Pueblo. All of the soil samples were analyzed for iron, lead, manganese,
and zinc. The locations, sample depths, and soil lead concentrations for samples collected in the vicinity
of former smelters within California Gulch are shown on Figures 7-7 and 7-8 along with data from the
other sources described in this report.
The lead concentrations in the Iowa Gulch samples are generally lower than in soil collected
approximately one mile north and within the California Gulch drainage. The southernmost soil samples
from California Gulch have lead contents ranging from 713 to 2,223 mg/Kg. The lead concentrations in
the Iowa Gulch soils range from 252 to 924 mg/Kg. All of the Iowa Gulch soils have lead concentrations
greater than Walsh's characterization of background concentrations in upland soils (150 mg/Kg, Table 7-
2).
Samples collected north of Leadville, along the East Fork of the Arkansas River and upstream of
Evans Gulch, have lead concentrations within the range for background soils. West of the Arkansas
River, near the confluence with California Gulch, lead concentrations range from 20 to 1,824 mg/Kg but
only exceed the background concentration in alluvial soils (870 mg/Kg, Table 7-2) at one location.
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These data demonstrate a trend of decreasing lead concentrations in undisturbed surface soil with
increasing distance from the historic smelter operations in the Leadville area.
7.3.7.2 Levy Study
In the summer of 1988, Levy and others (Levy et al. 1992) sampled surface soils (upper 1 inch) at
one location in Tennessee Park. The sample was analyzed for a suite of metals, including lead. The total
lead concentration at this location was 275 mg/Kg, which further supports the conclusion of decreasing
lead concentrations in undisturbed surface soils with increasing distance form the historic smelter
operations in the Leadville area.
7.3.7.3 National Uranium Resource Evaluation Program Data
The U.S. Geological Survey's National Uranium Resource Evaluation (NURE) program provides
geochemical data for sediment and water samples collected from across the United States. More than
1,700 sediment samples were collected from the Leadville Quadrangle (2 degree sheet) and sediments
from approximately 30 locations within the UARB were analyzed for metals, including arsenic and lead.
The NURE sampling locations extend beyond the area where soil samples have been collected in support
of the various investigations described above. However, because the metals contents were measured in
sediment samples, these data are not directly comparable to the metals data for upland soils. For this
reason, the NURE data were not used to assist in airshed delineation and are not included in the GIS used
to prepare the map figures in this section.
7.3.7.4 U.S.G.S. Investigation of Fluvial Tailings
The U.S. Geological Survey, in cooperation with USEPA and the Bureau of Reclamation, studied
the effects of fluvial tailings deposits on soils, surface water and groundwater along a 3-mile reach of the
Upper Arkansas River (Walton-Day et al. 2000). The study area is located approximately 6 to 9 miles
downstream of the confluence of California Gulch with the Arkansas River. This work included
collection and analysis of 13 soil samples. Eleven of the soil samples were collected from the floodplain
in areas expected to have elevated metals concentrations due to fluvial deposition of visible tailings
J:\010004\Task 3 - SCR\SCR_currentl.doc 7-13
deposits. The remaining two samples were collected from above the floodplain in areas apparently
unaffected by fluvial tailings deposits; these two samples are referred to as background samples.
The samples were analyzed for 13 metals/metalloids, including arsenic and lead. The arsenic
concentrations in both background samples were 10 mg/Kg. Lead concentrations in these samples were
180and200mg/Kg.
7.3.7.5 USGS Remote Sensing Studies
Remotely sensed multi-spectral reflectance data were collected by the U.S. Geological Survey
(Swayze et al. 1996) and processed to characterize and identify localized sources of acid mine drainage
and contamination from waste rock piles within the California Gulch NPL Site. The interpretive map
developed from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) reflectance data shows an
area of "smelter effluent ground coating" on the hillside south of the AV smelter site, the same area as
used in the Smelter RJ (Walsh 1993 a) as the control area for smelter impacted soils. This area was
spectrally mapped as an area where amorphous iron-hydroxide is present at the surface. Field
investigation of the area showed rocks coated with a grayish coating of material described as condensed,
arsenic-rich "effluent" that reportedly originated from the nearby AV Smelter stacks. Although multi-
spectral reflectance data were useful for identifying probable smelter-related mineral phases in soils from
a largely unvegetated area, their usefulness in more heavily vegetated areas has not yet been
demonstrated.
7.3.8 Summary of Findings to Delineate Smelter Airshed
Based on results from the previous studies described above, the following understanding is
provided:
• The smelter airshed may be delineated using data describing the metals content in
undisturbed surface soils in the areas surrounding former smelter operations. The lead
distribution map provided by CDM (1994) shows the areas where lead concentrations in
the upper 1-inch of undisturbed soil are relatively high. The areas highlighted based onthis map are: (1) an area south of the former Malta, Lizzie, California, AV, and American
smelter sites that extends south outside the California Gulch site boundaries, and (2) a
smaller area to the northeast of the former Elgin, Raymond, Sherman and McKay, Gage-
J:\010004\Task 3 - SCR\SCR_current 1 .doc 7-14
Hagaman, Cummings and Finn and Ohio and Missouri Smelter sites north of the City of
Leadville.
Similar areas were identified by Walsh (1993a) in the Smelter RI based on comparisons
of the relative abundances of metals to their relative abundances in soils from a smelter-
emissions control area. The control area for soils within the smelter airshed is located
due south of the former AV Smelter site and is believed to have received smelter-
emissions fallout from several smelters over an extended period, but it has not been
subject to other mining-related disturbances. The area identified by Walsh (1993a) as
impacted by smelter emissions is based on empirical data describing the metals content
and metals ratios in the top 1-inch of soil. These areas are delineated on Figure 7-6 (from
the Smelter RI) and include the same areas south of the AV Smelter site and northeast of
Leadville as described above, as well as broader areas to the north and south of the
former Malta, Lizzie, California, AV, American, La Plata, Grant Union, Western Zinc,
and Leadville smelter sites. The smelter airshed shown by Walsh extends south of the
NPL site boundary.
An air-dispersion model was also developed for the Smelter RI using limited
meteorological data and uncertain smelter-operations information. The resultant
predicted, or modeled, metals contents in soil were not consistent with observed metals
contents in soil. The lack of correlation between predicted and observed results is likely
due to uncertainty in the input parameters used for the model and the complexity of
modeling emissions from multiple smelters across this site each with different operatinghistories.
Data collected by the BLM demonstrate a trend of decreasing lead concentration in
undisturbed surface soil with increasing distance south, north, and west of the former
smelter locations. Lead concentrations approach their background ranges at the locations
sampled by BLM to the south in Iowa Gulch and north and west of California Gulch.
7.4 Description of Airshed Based on Existing Data
All of the studies described above provide data relevant to delineation of the smelter airshed, and
the best approach for defining the extent of the airshed utilizes the combined data from these various
sources.
The following data compilation and analysis steps were performed to assemble the best available
dataset for use in delineating the smelter airshed:
J:\010004\Task 3 - SCR\SCR_current 1 .doc 7-15
1. All available data describing metals concentrations in soil samples (less than 2-mm size
fraction) collected from the 0- to 1-inch or 0- to 2-inch depth intervals of undisturbed native
soils were compiled in an electronic database along with any available information describing
sample locations and soil characteristics (e.g., upland vs. alluvial soils). Based on the
findings of previous studies (CDM 1991; Walsh 1993a; and Walsh 1994), these are the
sample types that are considered most appropriate for delineating an area of smelter
deposition. In addition, metals concentrations data for soil samples collected from other
surface depth intervals (e.g., 0 to 6 inches from Keammerer data set) were also included in
the electronic database. Sample depth information was retained for each metals concentration
result included in the database to distinguish true surface soils from the uppermost 2 inches of
soil, from deeper soil sections.
2. The samples collected from undisturbed native soils were identified using GIS methods to
select the sample locations within areas delineated on Walsh's (1994) detailed soil map as
undisturbed, native soil types. For samples collected outside the extent of Walsh's soil map
(and with no information provided to describe the soil type or soil disturbance), the sampling
locations were assumed to be undisturbed native soil.
3. Maps showing the lead and arsenic concentrations at each of the locations within undisturbed,
native-soil types were generated (Figures 7-7 and 7-9). These maps also identify locations
where lead or arsenic concentrations exceed their background concentration in upland soil
(Pb>150 mg/Kg, As>30 mg/Kg) and in alluvial soil (Pb>870 mg/Kg and As>120 mg/Kg).
Note that for the locations within a 500-year floodplain, the comparison to the upland
background is conservative because the background lead and arsenic concentrations
determined by Walsh for alluvial soils are actually much higher.
4. The area where lead and/or arsenic concentrations in the 0- to 2-inch depth interval exceed
upland background concentrations was delineated using a 750-foot buffer zone around each
sampling location where surface soil exceeded the background value, and these areas were
shown together in map view (Figure 7-11). This mapping approach is consistent with that
used by Walsh in the Smelter RI. The area of overlap was highlighted.
The maps produced from these steps are included as Figures 7-7 through 7-11. The area that
includes soils containing higher than background concentrations of lead and arsenic is shown along with
areas defined as higher than background based on lead or arsenic alone. The area identified from lead
concentrations is nearly the same as the area identified using arsenic concentrations. As shown on Figure
7-7 and 7-9, the background concentrations of lead and arsenic are exceeded at the majority of locations
where undisturbed native soils have been sampled and analyzed. The combined area where undisturbed
soil lead or arsenic concentrations exceed their respective background concentrations is the area likely to
lie within the smelter airshed.
J:\010004\Task 3 - SCR\SCR_currentl.doc 7-16
The area identified as likely to be within the smelter airshed (Figure 7-11) is also shown over a
perspective view of the region, including the Leadville Mining District, on Figure 7-12. The view is from
the west side of the UARB looking east towards the Tenmile Range. This view is helpful when
considering the effects of prevailing wind directions and topography on the shape and extent of the
smelter-emission airshed. Prevailing wind directions are from the north-northwest and from the east-
northeast. As a result, a relatively large amount of smelter emissions would have been transported south-
southeast and west-southwest from the former smelter locations than in the other directions; the effects on
soil from the resultant airshed would also be most evident in these directions. This effect is borne out
immediately south of the AV Smelter where the hillside along the south side of California Gulch has
higher metals concentrations in soil and sparser vegetation than the neighboring hillsides. In addition,
because the smelters were located primarily in relatively low topographic positions along California
Gulch, the surrounding valley topography would be expected to trap smelter emissions during calm or
low-wind conditions. As a result, the California Gulch valley would have received a relatively larger
amount of smelter-emission deposition than higher, outlying topographic positions. The areas with the
highest metals concentrations shown on Figures 7-11 and 7-12 are consistent with the shape of a smelter
airshed expected to develop within the meteorologic and topographic conditions described here.
Although Figures 7-11 and 7-12 delineate a general area considered to lie within the smelter
airshed, they do not delineate the airshed boundaries. Defining an absolute boundary for an airshed
associated with a point source or multiple point sources would be misleading as air emissions travel
considerable distances at gradually lower and lower atmospheric concentrations that eventually approach
zero at some distance from the source. Because a condition of zero smelter-emissions deposition cannot
be accurately defined, or measured in soils, it is not possible to make an absolute delineation of the
airshed boundaries. Instead, a general pattern of decreasing metals concentrations, approaching the
background conditions, with distance from the source may be used as a more practical indicator of the
measurable extent of the airshed.
Figures 7-13 and 7-14 show the areas where lead and/or arsenic concentrations in soil are greater
than their background concentrations in upland soils as well as the locations where lead and/or arsenic
concentrations in soil are within the background range. Figure 7-13 is based on comparisons to the
upland background range, whereas Figure 7-14 is based on comparisons to the alluvial background.
Given the difficulty in distinguishing the outer edges of the airshed from true background conditions,
results shown on Figure 7-14 provide a clearer picture of the metals concentration gradient with distance
from the former smelters. Based on either of these representations of the data, it is clear that the
incidence of metals concentrations greater than background is highest in close proximity to the smelters
and that incidence declines with distance in all directions (north, south, east, and west). The existing data
J:\010004\Task 3 - SCR\SCR_currentl.doc 7-17
best characterize the extent of the airshed, as defined by estimated background conditions, to the north
and west of California Gulch. South of California Gulch, existing data show that soil metal
concentrations approach their background ranges in the vicinity of Iowa Gulch. Directly east of
Leadville, there are some locations where soil metals concentrations are within their background range,
but there is no consistent trend with distance west from the former smelter locations. The lack of a
recognizable trend toward lower metals concentrations may be due to the effects of large-scale mining
disturbances and the presence of the ore-grade mineral deposits within the upper portions of Evans Gulch,
Stray Horse Gulch, and California Gulch on soil metals contents. These additional factors make airshed
delineation east of Leadville particularly difficult.
7.5 Summary
In general, the available data allow for identification of the smelter airshed. For the purposes of
evaluating natural resource injury, the airshed boundaries may be defined by the areas where soil metals
concentrations, specifically lead and arsenic, are distinct from expected background concentrations in
undisturbed, upland soils. This is a conservative approach because the metals present in soil may
originate from numerous sources other than historical smelter-emissions deposition and some of the soil
samples used in this process are from alluvial soils, which have higher background metals concentrations.
The area where the airshed has been identified with highest confidence is the area shown on
Figures 7-11 and 7-12 as the highlighted area of overlap for locations with both lead and arsenic
concentrations in soil above their expected background concentrations at upland locations. This includes
most of the NPL site as well as areas south and west of the NPL-site boundaries. Although there is no
absolute delineation of the airshed boundary on these figures, Figures 7-13 and 7-14 show areas where the
soil metals concentrations do not exceed their background concentrations. If these areas lie within the
airshed, they are likely to be at its periphery where the soil conditions are not readily distinguishable from
those outside the airshed. These locations may be used from Figures 7-13 and 7-14 to identify the
approximate outer extent of the airshed.
7.6 Potential for Natural Resource Injury within Airshed
A specific concern was raised by USFWS regarding the potential for injury to Penland alpine fen
mustard (Eutrema penlandii), a rare species found in the Mosquito Range in central Colorado. Its
preferred habitat is characterized by wet, organically rich soils at elevations above 12,000 feet. There are
;.-\010004\Task 3 - SCR\SCR_currentl .doc 7-18
no reported populations of this species within the airshed and no evidence to indicate that previous
smelter emissions would have impacted any populations of these species.
The existing total metals data for surficial soils provide an estimate of the extent of historic
metals deposition from smelter emissions. In order to fully evaluate the potential for injury to other
resources within the airshed boundaries, additional data may be appropriate to describe the plant
availability of metals in surface soils and the possible phytotoxic effects of soils within the airshed. Total
metals concentrations could be used as a conservative guide in identifying locations for plant-available
sampling and evaluating the current extent of smelter deposition that may represent potentially phytotoxic
conditions. Review of existing total metals data indicate that the currently defined Airshed reasonably
bounds the area of potential phytotoxic concern. Therefore, any sampling for the purpose of evaluating
phytotoxicity would be limited to the area defined in Figures 7-11,7-13, and 7-14.
Figures 7-13 and 7-14 are used to define the potential for injury to natural resources within the
airshed boundaries. These figures show the airshed soil concentration gradients for lead using
background concentrations of >150 mg/Kg (Figure 7-13) and >870 mg/Kg (Figure 7-14). The boundaries
of the airshed are defined by the areas where lead concentrations are distinct from expected background
concentrations in undisturbed, upland soils (150 mg/Kg) and undisturbed alluvial soils (870 mg/Kg).
This is a conservative approach for delineating the airshed boundary because metals may originate from
numerous sources other than depositions from historical smelter emissions. It is clear that the occurrence
of metals concentrations greater than background is highest in close proximity to the former smelter
locations and these concentrations decline with distance from the smelters in all directions. There are
only two exceptions to this general trend that can be found northeast of Crystal Lakes (1 sample site) and
west of the Arkansas River and north of the Lake Fork drainage (1 sample site). Each exception is one
location among a larger group of sample sites (1 site out of 13 and 1 site out of 30) from the BLM (2000)
data set. It is highly unlikely that the lead concentrations reported for these sites are from smelter
emissions because the lead concentrations in soils surrounding each site are at or below background.
Figures 7-13 and 7-14 establish the boundaries that represent the areas of smelter deposition and
therefore establish the boundaries of potential injury. These boundaries are highly correlated with
existing conditions in the field. For example, the area with the highest soils concentrations of lead are
found south of California Gulch. This area is most likely devoid of vegetation because of elevated
concentrations of arsenic and zinc. It is important to note that the area of injury associated with smelter
Raymond, Sherman, and McKay Smelter(Raymond Claim/Survey No. 458)
Elgin Smelter (Elgin Mining and Smelting)Boston Gold-Copper Smelting Co.
Republic Smelting and Reduction Co. (Manville)
Yr.Start18751876
1879
1914
18791879
187918781892187818921877
1877
18791879
1879
1879
1879
1879
187919001902
Yr.End18801879
1880
1926
19601882
189318871900188218961880
1893
18791880
1880
1885
1880
1879
190019011903
Length ofOperation
5 yrs.3 yrs
i y r12 yrs
81 yrs3 yrs
15 yrs10 yrs8 yrs4 yrs5 yrs3 yrs
16 yrs
iy r2 yrs
2 yrs
6 yrs
2 yrs
Iyr
24 yrsiy riyr
Size ofProductionVery Small
Small
Small
Large
Very LargeMedium
LargeLargeLargeLargeLarge
Very Small
Very Large
Very SmallSmall
Medium
Large
Small
Very Small
LargeLargeLarge
MapLocation
12
3
4
55
677889
10
1112
13
14
15
16
171717
Note: ' From Jacobs (1991) KEY: Size Total ProductionVery Small 2,000 tons or lessSmall 2,000 to 10,000 tonsMedium 10,000 to 100,000 tonsLarge 100,000 to 1,000,000 tonsVery Large 1,000,000 tons or more
Table 7-2
Estimated Background Metals Concentrations for Soils in Upland and Alluvial LandscapePositions '
Landscape Position
UplandAlluvial
Arsenic(mg/Kg)0.3-30
0.7-120
Cadmium(mg/Kg)0.01-40.5-8
Copper(mg/Kg)0.4 - 408-190
Lead(mg/Kg)8- 150
80 - 870
Zinc(mg/Kg)16-10037 - 660
'Data from Walsh (1994)
FIGURES
22-OCT-201:- --MELT.AML
?->"
EXPLANATION
Former Smelter Locations
Approximate Locationof Former Smelter
1 Malta Smelter2 Lizzie Smelter3 California Smelter4 Western Zinc5 Arkansas Valley Smelter6 American Smelter7 La Plata Smelter8 Grant/Union Smelter9 Leadville Smelter10 Harrison Reduction Works11 Adelaide Smelter12 Little Chief Smelter13 Ohio and Missouri Smelter14 Cummings and Finn Smelter15 Gage-Hagaman Smelter16 Raymond, Sherman, and McKay Smelter17 Elgin Smelter
Approximate Locationof Former Smelter(refer to figure 7-1)
Sites where metals ratios arewithin + - 1 S.D. that of controlsites seven or more times outof nine comparisonsSites where metals ratios arewithin + /- 1 S.D. that of controlsites three or less times out ofnine comparisons
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE 7-5
RESULTS OF COMPARISONTO CONTROL SITES
PROJECT 010004.3 DATE: OCT 22, 2002
REV:1 BY: MCP | CHK: KJT
MFC, Inc.consi.
22-OCT-2002GRA:N:\ARCF!
3000
SOURCE: Walsh and Associate*1993a, Smelter Remedial Investigation Report,California Gulch Site, Leadville, ColoradoPrepared for ASARCO, incorporated,Leadville, Colorado, May 3. 1993.
Areal extent of sites wheremetals ratios are within+ /- 1 S.D. that of controlsites in seven or more timesout of nine comparisons
Undisturbed sites
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE 7-6
EXTENT OF SITESIMPACTED BY
SMELTER EMISSIONS ONLY
PROJECT 010004.3 DATE: OCT 22. 2002REV: 1 BY: MCP |CHK:KJT
Other Sampling LocationsBLM Soil Sampling Depth (19971
No depth data available
Keammerer Soil Sampling Depth (LNRD- 016)
0 " -6 " Soil Depth
Other Features
Approximate Locationof Former Smelter
Disturbed or Non- NSoil Areas (Walsh, 1994)
Lowland Zone - Based onpresence of riparian species(CDOW Vegetation Mapping,2001)
SCALE IN FEET
0 3300
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE 7-10
SOIL SAMPLE DEPTHFOR ARSENIC SAMPLE LOCATIONS
PROJECT 010004.3 DATE: OCT 22, 2002
REV:1 BY: MCP |CHK:KJT
MFC, Inc.consult/up MH'ntixts amii'ngineers
22-OC' •
Hydrology
EXPLANATION
River or Str-
500- Year Floodplain
Airshed DelineationAirshed Delineation viaArsenic Criteria OnlyAirshed Delineation viaLead Criteria OnlyAirshed Delineation viaArsenic and Lead Criteria
Other Features
Approximate Locationnier Smelter
Disturbed or Non- NativeSoil Areas (Walsh, 1994)Lowland Zone - Based onpresence of riparian species(CDOW Vegetation Mapping,2001)
Note: Data from 0 to 2- inch depth interval
3300
SCALE IN FEET
0
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE7-11
AIRSHED DELINEATION
PROJECT 010004.3 DATE: OCT 22, 2002
REV: 1 BY: MCP | CHK: KJT
MFC, Inc.consulting scientists andenti
North
EXPLANATIONPerspective view looking east from Arkansas River Valley
•Area included within smelter airshed based on the metalsdata currently available for undisturbed native soils
Disturbed or Non-native Soil
Approximate Location of Former Smelter
UPPER ARKANSAS RIVER BASINSITE CHARACTERIZATION SUMMARY
FIGURE 7-12PERSPECTIVE VIEW OF
SMELTER AIRSHED
REV: 1ROJECT: 010004.3 DATE: OCT 02, 2002
BY: MCP CHK: KJT
N:\arcprj2\010004\cov\mfgViirshedViirshcd3d3.doc
MFG, Inc.consulting scientists and engineers
22-OCT-2Q02GP
f o
i
o o
&
EXPLANATIONHydrology
River or Stream
500-Year Floodplain
Airshed Category(TopO to 2 inches)
Lead Concentless than 150 mg/Kg
! Background)
Lead Concentration greaterthan or equal to 150 mg/Kg
Arsenic Concentrationless than 30 mg/Kg(Upland Background)
Arsenic Concentration greaterthan or equal to 30 mg/Kg
Other Samples(Other depth intervals)
BLM samples, depth unknown
Keammerer (0-6" I samples
Other Features
Approximate Locationof Former Smelter
Lowland Zone - Based onpresence of riparian species(CDOW Vegetation Mapping,2001}
Disturbed or Non- NativeSoil Areas (Walsh, 1994)
BLM 2000 Soil SampleLocation „
3300
SCALE IN FLHT
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE7-13
AIRSHED METALSCONCENTRATION GRADIENT
(UPLAND BACKGROUND)
PROJECT 010004.3 DATE: OCT 22, 2002REV:1 BY: MCP I CHK: KJT
MFC, Inc.consulting scientists arn,
o o
otit
EXPLANATIONHydrology
River or Stream
500-Year Floodplain
Airshed Category(TopO to 2 inches)
Lead Concentrationless than 870 mg/Kg(Alluvial Background)
Lead Concentration greaterthan or equal to 870 mg/Kg
Arsenic Concentrationless than 120 mg/Kg(Alluvial Background)
Arsenic Concentration greaterthan or equal to 120 mg/Kg
Other Samples(Other depth intervals)
BLM samples, depth unknown
Keammerer (0-6") samples
Other Features
Approximate Locationof Former Smelter
Lowland Zone - Based onpresence of riparian species(CDOW Vegetation Mapping,2001)
Disturbed or Non- NativeSoil Areas (Walsh, 1994)
BLM 2000 Soil SampleLocation
SCAl.F. IN U
3300
UPPER ARKANSAS RIVER BASIN
SITE CHARACTERIZATION SUMMARY
FIGURE 7-14
AIRSHED METALSCONCENTRATION GRADIENT
(ALLUVIAL BACKGROUND)
PROJECT 010004.3 DATE: OCT 22, 2002
REV: 1 BY: MCP | CHK: KJT
MFC, Inc.consulting sclent i , neers
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APPENDIX A
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D00005
D00006
D00375
- .'•' V:<';:;'-':v-;;>v'-Vrit1e" : '•.;•.• %..•••:--" '. ;>•Improvements to the Upper ArkansasRiver Attributable to Operation ofthe Leadville Mine Drainage TunnelTreatment Plant
Leadville Mine Drainage TunnelEffluent Effects on the ArkansasRiver, 1965-92
Description of Water-SystemsOperations in the Arkansas RiverBasin, Colorado
Sediment Quality and Aquatic LifeAssessment
Trace Elements in the TerrestrialEnvironment (Cover only)
Placer Mining and Water Quality(excerpts from document)
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Heavy Metals in Soils (Cover only)
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Fisheries Inventories, UpperArkansas and South Platte Basins
Impact Analysis of a FlowAugmentation Program on the BrownTrout Fishery of the ArkansasRiver, Colorado.
upper arkansas, lake fork,metals, aquatic, wetlands,water, dinero tunnel
Page 3
Doc No;-.;
D00200
D00406
D00025
D00345
D00587
D00497
D00028
D00030
D00545
D00057
D00032
D00033
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; .-; v rr'-:KkV::V-;"[?Fitfe'* V ,.f: . --.f,'• :• -..;•.. •-. -•. -. •;<'.;& inpff1-'*;'.!'::',. -:,-_•,' ?,•?;.•:•;.• v»«.-Transition Metal Geochemistry ofthe Upper Arkansas River, Colorado
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Solutions to Erosion Along theUpper Arkansas River
Sensitivity and Variability ofMetrics used in BiologicalAssessments of Running Waters
Aquatic Biological Data - 1995-1998 - Electronic Format
Migration and GeochemicalEvolution of Ground Water Affectedby Uranium-Mill Effluent nearCanon City, Colorado
Correlation of Cadmium- InducedNephropathy and the Metabolism ofEndogenous Copper and Zinc in Rats
The Ruminant Animal: DigestivePhysiology and Nutrition
ivJj'f -C -V AUtK ;,,/.;- ; !!:-/' :
Callender, E., B.A. Kimball,and E.V. Aztmann
Callender, E., W.H. Ficklin,B.A. Kimball, P.R. Edelmann
Camardese, M., D. Hoffman, L.LeCaptain and G. Pendleton
Campbell, P. G. C. and P. M.Stokes
Canfield, T.J., N.E. Kemble,W.G. Brumbaugh, F.J. Dwyer,C.G. Ingersoll, and J.F.Fairchild
Capouch, J., J. Diekmann, N.Pawley, T. Schenk, R. Zakaria
in Mallard, G.E. and Aronson,D.E. (eds.) USGS ToxicSubstances Hydrology Program;proceedings of the technicalmeeting, Monterey CA, March11-15, 1991, WRI 91-4034, p.392-397
U. S. Geological Survey,Hater ResourcesInvestigations Report 88-4220
Environmental Toxicology andChemistry 9:783-795
Canadian Journal of Fish andAquatic Science, 42:2034-2049
water quality, arkansasriver, uranium milling,ground water, lincoln park
metals, copper, zinc,mammals, cadmium
physiology, metals
PageS
Doc No.
D00053
D00054
D00336
D00538
D00455
D00055
D00026
D00423
D00159
D00056
D00058
D00059
•-.• ^ --- -- Tltle-;/ '.-:•- -l-'-i:.-• .•fey :.•••:--•"-»•;•,- •:••-••*•.• -. • ..-^ • • :—".r ••-.•Ge ^ ical and Lead-Isotope Datafra^^Rream and Lake Sediments,and Cores from the Upper ArkansasRiver drainage: Effects of Miningat Leadville Colorado on Heavy-Metal Concentrations in theArkansas River
Geochemical and Lead-isotopicStudies of River and LakeSediments, Upper Arkansas RiverDrainage Basin, Twin Lakes toPueblo Reservoir, Colorado -Preliminary Report
Source, Transport, andPartitioning of Metals betweenWater, Colloids, and Bed Sedimentsof the Animas River, Colorado
Geochemical and lead-isotopicstudies of river sediment frommajor tributaries, upper ArkansasRiver watershed, Colorado
Determination of Pre-MiningGeochemical Conditions andPaleoecology in the Animas RiverWatershed, Colorado
Lead Concentrations: Bats vs.Terrestrial Small MammalsCollected Near a Major Highway
The Variability of MetalConcentrations and MetalSpeiciation in the Arkansas River,Colorado
Metal Speciation in the UpperArkansas River, Colorado, 1990-93
Lead Poisoning in Small Animals
Integrated Field and LaboratoryApproach for Assessing Impacts ofHeavy Metals at the ArkansasRiver, Colorado
Benthic Invertebrate CommunityResponses to Heavy Metals in theUpper Arkansas River Basin,Colorado
Fate and Effects of Heavy Metalson the Arkansas River
"•'^-'^yf-'^K^^^^f^^i^^-y^i^.f^-Benthic Community Responses toheavy Metals in the ArkansasRiver: Structural AlterationBioaccumulation, and Acute Toxicity
Bioaccumulation of Heavy Metals byBrown Trout (Salmo Trutta) in theArkansas River: Importance ofFood Chain Transfer
Metal Tolerance and Predator-PreyInteractions in BenthicMacroinvertebrate StreamCommunities
The Influence of Elevation onBenthic Community Responses toHeavy Metals in Rocky MountainStreams
Effects of Heavy Metals on PreyAbundance, Feeding Habits, andMetal Uptake of Brown Trout in theArkansas River, Colorado
Heavy Metals Structure BenthicCommunities in Colorado MountainStreams
Integrating observational andexperimental approaches toquantify stressor-responserelationships in metal -pollutedstreams
Structural Alterations in AquaticInsect Communities Exposed toCopper in Laboratory Streams
Structural and FunctionalResponses of Benthic Communitiesto Heavy Metals: Variation AlongLongitudinal Stream Gradients
Sensitivity of Brook Trout to LowpH, low calcium and elevatedaluminum concentrations DuringLaboratory Pulse Exposures
Accumulation of Heavy Metals byVegetables Grown in Mine Wastes
Technical Manual for the Designand Operation of a Passive MineDrainage Treatment System
_ jjfc
Clements, W.H.
Clements, W.H.
Clements, W.H.
Clements, W.H. and P.M.Kiffney
Clements, W.H., and D.E. Rees
Clements, W.H., D.M.Carlisle, J.M. Lazorchak, andP . C . Johnson
lincoln park, downstream,risk assessment, superfund,arkansas river
Water Quality, CaliforniaGulch, Arkansas River,trout, fish, aquatic
Page 11
:DdcNo.
D00068
D00444
D00069
D00201
D00273
D00074
D00073
D00351
D00598
D00599
..y --A;-:?: Hi;f v Title ; »-M3?m V- - .•.- --.*%\.r.'; .•>-,.- *-v\ f--:,,v •-.-;: i-i-5. -.wi: >. ;';Impact Analysis of a FlowAugmentation Program on the BrownTrout Fishery of the ArkansasRiver, Colorado
Listing of Colorado Division ofwildlife Holdings, includingeasements, along the ArkansasRiver from Leadville to Pueblo
Upper Arkansas River Fisheries andWater Management Assessment
Water Pollution Studies
Draft Biosolids Study
Wetland Resources of ArkansasHeadwaters State Park, October 1995
Wetland Resources of Lake PuebloState Park, August, 1995
Two Colorado Rivers Among Nation'sWorst Polluted
Cadmium in small mammals
Lead, zinc, cadmium and fluoridein small mammals from contaminatedgrassland established on fluorspartailings
~s-iW&*.&?.!? Aut :!fe~i]|sKV •*;•:*--V'ltni .to"-:-.'.!*1- .<-•'•'.•* •'••'•.•.•'•x-"~iT~. •»*•;-•Colorado Division of Wildlife
Colorado Division of Wildlife
Colorado Division of Wildlife
Colorado Game, Fish, andParks Division
Colorado Mountain College
Colorado Natural AreasProgram, Colorado Departmentof Natural Resources,Division of Parks and OutdoorRecreation
Colorado Natural AreasProgram, Colorado Departmentof Natural Resources,Division of Parks and OutdoorRecreation
Colorado Rivers Alliance
Cooke, J.A. and M.S. Johnson
Cooke, J.A. and S.M. Andrews
Pafe'l1992
1999
1991
1969
1999
1995
1995
1996
1996
1990
v'.'-r i/'i.- n -'Referehce>-i- j!r;;':£ --''?-' '>ii•"••*> V; '•••>:•-.•• .••«-.•-•/•.•••.. -,-r:-.-u :.•;•' '.'V-: •••••:State of Colorado, Departmentof Natural Resources, Denver,Colorado, March 13, 1992
letter via Colorado AttorneyGeneral's Office
Colorado Division of WildlifeSoutheast Region
Job Progress Report, FederalAid Project F-33-R-4
Colorado Mountain College
Colorado Natural AreasProgram, Colorado Departmentof Natural Resources,Division of Parks and OutdoorRecreation, Inventory,Delineation and Protection ofWetlands on Colorado StateParks, U.S. EnvironmentalProtection Agency, GrantSCD998116011
Colorado Natural AreasProgram, Colorado Departmentof Natural Resources,Division of Parks and OutdoorRecreation, Inventory,Delineation and Protection ofWetlands on Colorado StateParks, U.S. EnvironmentalProtection Agency, Grant#CD998116011
Colorado, Rivers, Polluted,Cache la Poudre, ArkansasRiver
cadmium, mammals, toxicity,terrestrial, metals
metals, mammals, grassland,terrestrial
Page 12
Doc No.
D00076
D00077
D00078
D00420
D00079
D00586
D00484
D00399
D00081
D00080
.^! .y. :: . Title -"- :< '- •?. :•'.'. •.-.: Bk' •--•••••• r • .•••-.--. '. '• "- :- - • . • - - .C ^ Bi, Metal -binding Proteins,ana^rowth in Bluegill (Lepomismacrochirus) Exposed toContaminated Sediments from theUpper Mississippi River Basin
Acute and Sub-Chronic Toxicity ofLead to the Early Life Stages ofSmallmouth Bass (Micropterusdolomieui) (cover page only)
Water-Resources Appraisal of theUpper Arkansas River Basin fromLeadville to Pueblo, Colorado
water Resources Data, Colorado,Water Years 1989-2000 MissouriRiver Basin, Arkansas River Basin,Rio Grande Basin (on other shelf)
Effects of pH on the Toxicities ofCadmium, Copper, and Zinc toSteelhead Trout (Salmo gairdneri)
In Press . A Mining ImpactedStream: Exposure and Effects ofLead and Other Trace Elements onTree Swallows (TachycinetaDicolor) Nesting in the UpperArkansas River Basin, Colorado
Strategies of Heavy Metal Uptakeby Three Plant Species GrowingNear a Metal Smelter
The Importance of ContaminatedFood for the Uptake of HeavyMetals by Rainbow Trout (Salmogairdneri) : A Field Study
Ecotoxicology of Metals inInvertebrates
Contaminated Food and Uptake ofHeavy Metals by Fish: A Review anda Proposal for Further Research
^'- •^••J:;^f^r^^^f^^^^K-The Need to Establish Heavy MetalStandards on the Basis ofDissolved Metals
Use of Dialysis Tubing in Definingthe Toxic Fractions of HeavyMetals in Natural Waters
Acute and Chronic Toxicity of Leadto Rainbow Trout Salmo gairdneri .in Hard and Soft Water (cover pageonly)
Arkansas River Research Study -1995 Annual Progress Report,Period 1 Oct. 1993 - 30 Sept. 1994
Arkansas River Research Study,1994 Annual Progress Report,Period October 1, 1993 toSeptember 30, 1994, Job 1:Investigation on Acute and Long-term Toxicity of Metals to BrownTrout
Bioavailability and Toxicity ofMetals and Metal Colloids
Importance of Laboratory-DerivedMetal Toxicity Results inPredicting In-Stream Response ofResident Salmonids
Aquatic Data Analysis - FederalAid Project F-33
Aquatic Life - Water QualityRecommendations for Heavy metaland Other Inorganic Toxicants
Davies, P. H., J. P. Goettl,Jr., J. R. Sinley, and N. F.Smith
Davies, P.H, W.H. Clements,and J.D. Stednick
Davies, P.H.
Davies, P.H.
Davies, P.H. and J.D. Woodling
Davies, P.H. and S. Brinkman
Davies, P.H., and Goettl,Jr., J.P.
'tipste
1976
1976
1976
1995
1994
2001
1980
1990
1976
$ K^&t's.^lfan&^&Qf* '&&In: Toxicity to Biota ofMetal Forms in Natural Water,pp. 93-104, R.W. Andrew, P.Hodson, and D. Konasewich,Eds. Proc. Workshop, Duluth,Minnesota, October 7-8, 1975.Great Lakes Res . AdvisoryBoard, International JointComm
In: Toxicity to Biota ofMetal Forms in Natural Water,pp. 110-117, R.W. Andrew, P.Hodson, and D. Konasewich,Eds. Proc. Workshop, Duluth,Minnesota, October 7-8, 1975.Great Lakes Res . AdvisoryBoard, International JointComm
Water Research Vol. 10: 199-206
Report for U.S. Bureau ofReclamation
U. S. Bureau of Reclamation
Unpublished report to theUpper Arkansas Consulting Team
In.- Aquatic Toxicology, STP707. J. Eaton, P. Parrish,and A. Hendricks, Eds. ASTM.pp. 281-299
Colorado Division ofWildlife, Fish ResearchSection and Federal Aid inFish and WildlifeRestoration, Job ProgressejjuiL
Colorado Division of Wildlifefor Water Quality StandardsRevision Committee andColorado Water QualityControl Commission
Water Quality Standards,Aquatic Biota, Toxicology,pH, Colorado
Water Quality, AquaticLife, Metals, Toxicants
Page 14
Doc No.
D00244
D00408
D00630
D00622
D005BO
D00089
D00479
D00090
D00091
D00092
D00093
v \ "• • - .• -%™*$ |fe w;«Wj ^ B'ollution Studies - FederalAi^BKject #F-33: CadmiumToxicity to Rainbow Trout:Bioavailability and Kinetics inWaters of High and low ComplexingCapacities
Arkansas River Research Study:1995 Annual Progress Report,Period October 1, 1994 toSeptember 30, 1995
Arkansas River Research Study:1999 Annual Progress Report;Period October 1, 1996 toSeptember 30, 1999
East Fork Arkansas River ResearchStudy, Annual Contract Summary,Period: October, 1997 toSeptember, 1999
Arkansas River Basin ResearchStudy: 5 Year Grant Summary,October 1997 to September, 2002
Arkansas River Research Study,1994 Annual Progress Report,Period May 1, 1993 to September30, 1993
Environmental Factors Influencingthe Natural Revegetation of PlacerMine Tailings in Interior Alaska
Sensitivity of Early-Life-StageGolden Trout to Low pH andElevated Aluminum
Toxic Effects of Lead and LeadCompounds on Human Health, AquaticLife, Wildlife, Plants, andLivestock
Draft Ordered Rankings for HomeRanges of Migratory BirdsPotentially Inhabiting theCalifornia Gulch, Leadville,Colorado Superfund Site
Toxicity of Cadmium in Sediments:The Role of Acid Volatile Sulfide
Lincoln Park, Cotter Mill,arkansas river, Canon City,tailings, uranium, radon,molybdenum, radioactivity,water, ground-water, soils,biota, vegetation, birds,mammals, metals
college of the canons,arkansas river, downstream,metals, smelter,remediation, soils, air.
College of the Canons,remediation, downstream,arkansas river, minetailings
Lincoln Park, Cotter Mill,arkansas river, Canon City,water, sediment, biota,fish, birds,microinvertebrates ,mammals.
Page 17
-Doc No/
D00519
D00564
D00102
D00103
D00104
D00105
D00106
D00421
D00448 .
D00341
D00107
•^i^^mfim^^i^^^Evaluation of the Willow LakesNear the Cotter Uranium Mill Site,Canon City, Colorado
St . Kevin Gulch : Letter fromUSGS to USFWS Re: invertebrate &cowpie metal concentrations
Analytical Results for SedgeSamples Collected on the WetlandReceiving Acid Mine DrainageWaters from St. Kevin Gulch,Leadville, Colorado
Status Report on a Study of theEffects of Acid Mine Drainage onVegetation Near Leadville,Colorado. In: U.S. GeologicalSurvey, Toxic Substances HydrologyProgram- -Proceedings of theTechnical Meeting, Phoenix,Arizona, September 26-30, 1988
The Interactions of Water Hardnessand pH with the Acute Toxicity ofZinc to the Brown Trout, Salmotrutta
Physiological Changes and TissueMetal Accumulation in RainbowTrout Exposed to Foodborne andWaterborne Metals
The Effects of Low pH and ElevatedAluminum on Yellowstone CutthroatTrout (Oncorhynchus clarkiDouvieri)
Dietary Effects of Metals-Contaminated Invertebrates fromthe Coeur d'Alene River, Idaho, onCutthroat Trout
The Physiological Impairment ofFree -rang ing Brown Trout Exposedto Metals in the Clark Fork River,Montana
Fish Communities as Indicators ofEnvironmental Degradation
Geochemical Classification of MineDrainages and Natural Drainages inMineralized Areas
Lincoln Park, Cotter Mill,arkansas river, Canon City,tailings, uranium, radon,molybdenum, radioactivity,water, ground-water, soils,biota, vegetation, birds,mammals
Water Quality, soils, mining
Restoration, Aquatic Habitat
Page 19
. Doc No.
D00531
D00116
D00117
D00118
D00119
D00349
D00120
D00121
D00122
D00123
D00275
D00124
:•_, :,;V; - t^ttg^T$^j^fy:fe-^. £>i
Letter regarding results fromBreeding Bird Surveys in the UpperArkansas Basin
Colorado Trout
Status and Management of InteriorStocks of Cutthroat Trout
Factors Affecting mercuryAccumulation in Fish I the UpperMichigan Peninsula
Summary: Developing a Biotic Indexfor Colorado Stream Quality
Automated Global PositioningSystem Charting of EnvironmentalAttributes: A Limnologic Study
Environmental Zinc and CadmiumPollution Associated withGeneralized Osteochondrosis,Osteoporosis, and Nephrocalcinosisin Horses
Effects of Municipal Sludge onLocomotor Activity and ExploratoryBehavior of Meadow Voles (Microtuspennsylvanicus)
Zinc
Safety Assessment of SelectedInorganic Elements to Fry ofChinook Salmon (Oncorhynchustshawytscha
Wetlands Ecosystems: Natural WaterPurifiers?
The Interactions Between theSurface of Rainbow Trout,Oncorhynchus mykiss, andWaterborne Metal Toxicants
••' fc .V:.: - :-W™!?' : : "';'•' ••'••J;^;:':":V:>Su ^ B of the Hanford SiteEnv?Bromental Report for CalendarYear 1994
The Erosion Control Letters: Weare What We Teach
Lead in Mule Deer Forage in RockyMountain National Park, Colorado
Metal Contamination in Liver andMuscle of Northern Pike (EsoxLucius) and White Sucker(Catostomus comraersoni) and inSediments from Lakes Near theSmelter at Flin Flon, Manitoba
Dietary Exposure of Mink to Carpfrom Saginaw Bay, Michigan. 1.Effects on Reproduction andSurvival, and the Potential Risksto Wild Mink Populations.
Heavy metal accumulation in smallmammals following sewage sludgeapplication to forests
Altered Avoidance Behavior ofYoung Black Ducks Fed Cadmium
Mining in Colorado: A History ofDiscovery, Development, andProduction (Section on Lake Countyonly)
Modelling and monitoringorganochlorine and heavy metalaccumulation in soils, earthworms,and shrews in Rhine-Deltaf loodplains
Lead in Hawks, Falcons and OwlsDownstream from a Mining Site onthe Coeur D'Alene River, Idaho
Restoration Ecology of RiverineWetlands: I. A Scientific Basis
Effects of Impoundment on Waterand Sediment in the Arkansas Riverat Pueblo Reservoir
•;•,;+ >;*l^Z-&:jm^*'-:&':^ff ?;-<•£.. .-•••'.; •••-•t"J\?:i----.vt!;>:..5--.'?-:"..'i-w--":- "vv«-- £$".-<x*"&Nutrient Uptake and CommunityMetabolism in Streams DrainingHarvested and Old GrowthWatersheds: A PreliminaryAssessment
Survival, Growth, and Accumulationof Ingested Lead in NestingAmerican Kestrels (Falcosparverius)
Accumulation of cadmium, copperand zinc in the liver of somepasserine species wintering inCentral Norway
Long-Term Effects of Lead Exposureon Three Generations of BrookTrout (Salvelinusfontinalis) (cover page only)
An Investigation of Trout andBenthic Macro invertebratePopulations in the Mainstem ofChalk Creek, Chaffee County,Colorado
The Use of Automatically CollectedPoint Samples to EstimateSuspended Sediment and AssociatedTrace Element Concentrations forDetermining Annual Mass Transport
Cross-sectional Variability inSuspended Sediment and AssociatedTrace Element Concentration inSelected Rivers in the US
Variation in Suspended Sedimentand Associated Trace ElementConcentrations in SelectedRiverine Cross Sections
Variations in Suspended Sedimentand Associated Trace ElementConcentrations in SelectedRiverine Cross Sections
Copper Lethality to Rainbow Troutin Waters of Various Hardness andPH
Photochemical and Seasonal Cyclingof Manganese in Lake Fork
Use of Watershed Characteristicsto Select Control Streams forEstimating Effects of Metal MiningWastes on Extensively DisturbedStreams
Hill, B.H., F.H. McCormick
Hoffman, D., J. Franson, O.Pattee, C. Bunck and A.Anderson
Hogstad, 0.
Holcombe, G. W., D. A.Benoit, E. N. Leonard, and J.M . McKim
Horn, B.J.
Horowitz, A. J., K. A.Elrick, P. B. Von Guerard, N.0. Young, G. R. Buell and T.L. Miller
••^ ?:^fc #$^fc?^£%j$££&Hill and McCormick, ResearchEcologists, U.S. EPA,National Exposure ResearchLaboratory, EcologicalExposure Research Division,Cincinnati, OH
On the Need to Select an Ecosystemof Reference, However Imperfect:A Reply to Pickett & Parker
Linkage of Effects to TissueResidues: Development of aComprehensive Database for AquaticOrganisms Exposed to Inorganic andOrganic Chemicals (Andrew has)
Biological Monitoring of ToxicTrace Elements
Lead Exposure in PasserinesInhabiting Lead-ContaminatedFloodplains in the Coeur D'AleneRiver Basin, Idaho, USA
Report of Explorations in Coloradoand Utah During the Summer of1889, with an Account of theFishes Found in Each of the RiverBasins Examined
Trace Elements in Soils and Plants
Development of High Mountain PlantCommunities as Wetland MitigationSystems for Copper Mine Effluent -Project End Report
Sediments, Bioaccumulation,Invertebrates, Upper ClarkFork River, Montana, fish,aquatic, metals
arkansas river, flows,hydrology, geomorphology,11-mile reach, OU-11,sediments
reference, restoration,monitoring.
tissues, aquatic organisms,chemicals, water quality,bioaccumulation
Metals, Bio-Monitoring
metals, birds, floodplain,lead, American robin, Songsparrow, idaho
Fish, Colorado, aquatic
Vegetation
Wetland/Riparian, Plants,Bioaccumulation, LittleSnake River, Wyoming, Metals
Page 23
Doc Na '
D00481
D00148
D00354
D00149
D00150
D00151
D00554
D00152
D00516
D00153
D00154
D00155
: : • ? 1° /" 'K ff v^ vr." *-Cadmium Accumulation and ProteinBinding Patterns in Tissues of theRainbow Trout, Salmo gairdneri
High Plains Reclamation andRestoration at Black Thunder Mine
Upper Arkansas River ResearchProjects: A Compilation ofSummaries Presented to the UpperArkansas River Research Workshop
Toxicity of Metal-ContaminatedSediments from the Upper ClarkFork River, Montana, to AquaticInvertebrates and Fish inLaboratory Exposures
Effects of Chronic Lead Ingestionon Reproductive Characteristics ofRinged Turtle Doves (Streptopeliarisoria) and Tissue LeadConcentrations Adults and TheirProgeny
Identification of Heavy metalConcentrations in Surface WatersThrough Coupling of GIS andHydrochemical Models
Effects of Heavy Metals on aMacroinvertebrate Assemblage froma Rocky Mountain Stream inExperimental Microcosms
Bioaccumulation of Heavy Metals byBenthic Invertebrates at theArkansas River, Colorado
Effects of Metals on StreamMacroinvertebrate Assemblages fromDifferent AltitudesUpper Arkansas River Surface-waterToxics Projects, Selected ExcerptsFrom: Physical, Chemical, andBiological Processes in WatersAffected by Acid Mine Drainage:From Headwater Streams toDownstream Reservoirs
Metal Partitioning andPhotoreduction of Iron inFiltrates of Acid Streamwater, St.Kevin Gulch, CO
Effects of Colloids on MetalTransport in a River ReceivingAcid Mine Drainage, Upper ArkansasRiver, Colorado, U.S. A. In: MetalTransport in an Acid Mine ImpactedRIWM^^
'&*^?t&^$^0£^&'^:y-ps+-'Kay, J., D.G. Thomas, M.W.Brown, A. Cryer, D. Shurben,J.F. Solbe, and J.S. Garvey
Keammerer, W. R. and R.L.Moore , Jr .
Keidel, J.
Kemble, N.E., W.G. Brumbaugh,E.L. Brunson, F.J. Dwyer,C.G. Ingersoll, D.P. Mondanand D . F . Woodward
Kendall, R. and P. Scanlon
Kern, T. J. and J. D. Stednick
Kiffney, P.J. and W.H.Clements
Kiffney, P.M. and W.H.Clements
Kiffney, P.M. and W.H.Clements
Kimball, B.A.
Kimball, B.A. and D.M.McKnight
Kimball, B.A., E. Callenderand E.V. Axtmann
,
ifrDate :1986
1995
1995
1994
1981
1993
1994
1993
1996
1991
1988
1995
m^
^ - /r fRetei c iT yV'- ..*:.;
Environmental HealthPerspectives 65: 133-139
Land and WaterSeptember/October, 1995
Upper Arkansas River ResearchWorkshop April 17 & 18, CanonCity, Colorado
•-..-." ••i'---,'p.;-3.-':s!W-'.::?rT|»|a'.-'i-~: nV*?i.l- «>.. •':.;.";:!:.: ;.-*,;;5;:;-,jLl :€?;"? T 'M--.:--:- ££?Relationships Among Observed MetalConcentrations, Criteria, andBenthic Community StructuralResponses in 15 Streams
Copper, Zinc, and CadmiumConcentrations in Peromyscusraaniculatus Samples Near anAbandoned Copper MineClear Creek Basin: The Effects ofMining on Water Quality and theAquatic Ecosystem
Heavy Metal Contamination in Soilsand Plant Species of the ArkansasValley Near Leadville, Colorado
Distribution and Partitioning ofTrace metals in Contaminated SoilsNear Leadville, CO
Heavy Metal Contamination in Soilsand Plant Species of the ArkansasValley Near Leadville, Colorado
Aquatic Inhabitants of a MineWaste Stream in Arizona
How Does Streamflow Affect Metalsin the Upper Arkansas River?
Physical, Chemical, and BiologicalCharacteristics of PuebloReservoir, Colorado, 1985-1989
An Evaluation of Mining RelatedMetals Pollution in the UpperArkansas River Basin (Abstract)
Modelling Growth Responses ofRainbow Trout Fry as a Function ofTissue Copper Concentration andExposure Duration
Impacts of Smelter Emissions onVegetation - The Identification ofCausal Mechanisms
\ sft'. i' -A'' t bpr l&r -?^f-LaPoint, T. W., S. M.Melancon, M. K. Morris
Laurinolli, M., and L.I.Bendell- Young
Lehnertz, C.S.
Levy, D.B.
Levy, D.B., K.A. Barbarick,E.G. Siemer, and L.E. Sommers
.. •.•-•v :-:" -' -.-. l*fr ?« - fei£frfr£I ^ Bretive Report: Surface andGr B&rfater InvestigationCalifornia Gulch, Leadville,Colorado (do not have full report--only some results tables)
Summary of Metal Toxicity by Group
A brief history of the Yak Tunnel
Lead in mammals
Effect of soil pollution withmetallic lead pellets on leadbioaccumulation and organ/bodyweight alterations in small mammals
Hazardous exposure of ground-living small mammals to cadmiumand lead in contaminatedterrestrial ecosystems
Development and Evaluation ofConsensus -Based Sediment QualityGuidelines for FreshwaterEcosystems
Differences in RelativeSensitivity of Native and Metals-Acclimated Brown and Rainbow TroutExposed to Metals Representativeof the Clark Fork River, Montana
Acute Lethality andBioavailability of Copper in thePresence of Dissolved OrganicCarbon
Relative Sensitivity of Brown andRainbow Trout to Pulsed Exposuresof an Acutely Lethal Mixture ofMetals Typical of the Clark ForkRiver, Montana
Mycorrhizae: Fungal Tools forEstablishing Trees on Mined-Lands
•s,g 7 v> ,; Author; •.-;; .'.Vyp: .'•_Ljungberg, C. and M.L. Glaze M
Luckey, T.D. and B. Venugopal
Luke, J.
Ma, W
Ma, W.
Ma, W. , W. Denneman, and J.Faber
MacDonald, D.D., C.G.Ingersoll, T.A. Berger
Marr, J. C. A., H. L.Bergman, C. Hogstrand and J.Lipton
Marr, J., J. Lipton, A.Maest, D. Cacela, J.S. Meyer,J. Hansen, and H.L. Bergman
Marr, J.C., H.L. Bergman, M.Parker, J. Lipton, D. Cacela,W. Erickson, and G.R. Phillips
Marx, D.H. and C.E. Cordell
K3~
1977
1970s
1996
1989
1991
1999
1994
1995
1995
1995
•.? .'- y' ; ,: . -Reference -;-/.-•" '; V'--~-;
EPA Site ID COD-980 717-938,TDD # R8-8303-11
In Metal Toxicity in Mammals1: Physiologic and ChemicalBasis for Metal Toxicity.Plenum Press
Resurrection Mining Company,US v. ASARCO case file
Environmental Contaminants inWildlife: Interpreting TissueConcentrations. Beyer, W.N.,G.H. Heinz, and A.W. Redmon-Norwood (eds.) . pp. 281-296. SETAC SpecialPublication Series. LewisPublishers
Archives of EnvironmentalContamination and Toxicology18:617-622
Archives of EnvironmentalContamination and Toxicology20:266-270
Archives of EnvironmentalContamination and Toxicology
University of Wyoming,Department of Zoology andPhysiology, McMasterUniversity, Hamilton,Ontario, Canada andRCG/Hagler Bailly, Boulder,
presented at the AnnualMeeting of Society ofEnvironmental Toxicology andChemistry
Canadian Journal of Fisheriesand Aquatic Science 52: 2005-2015
.-;; '-.:.;-c-:j :ntie/ ;-vv-,./y-:--.Ef ^ V of Metal -Mine Drainage onWa^H^uality in Selected Areas ofColorado, 1972-73
Variations in Metal Content of theKerber Creek Drainage, Colorado:An Area Affected by Mining
Final Report for Lead Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VII-92-06) , Volume1 of 3
Final Report for Lead Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VII-92-06), Volume2 of 3
Final Report for Lead Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VII-92-06), Volume3 of 3
Final Report for Zinc Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VIII-92-06) ,Appendices
Final Report for Zinc Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VIII-92-06), Volume1 of 2
Final Report for Zinc Slag PileRemedial Investigation at theCalifornia Gulch Site Leadville,Colorado (Administrative Order onConsent CERCLA-VIII-92-06) , Volume2 of 2
Reconnaissance Investigation ofWater Quality, Bottom Sediment,and Biota Associated withIrrigation Drainage in the MiddleArkansas River Basin, Colorado andKansas, 1988-89
^ . . ^ g? ':i/ritle: i:« fer %.• ;• -..-- .+ .3-,? .'..•?.:/.'• ,'!--•* .--.•;•-• f-?.£*X-z>'-<?\ :•*-.£••, ••*•>•-.'Evaluation of Lead in Sediment andBiota, East and West Page Swamps,Bunker Hill Superfund Site, Idaho(1019.3180)
Metals in Soft Tissues of MuleDeer and Antelope
The Effects of Flow Augmentationon Channel Geometry of theUncompahgre River
Arsenic (Cover Only)
Mineral Tolerance of DomesticAnimals (cadmium, copper, lead,zinc)
Contaminants and Tree Swallows inthe Fox River Drainage, Green Bay,Wisconsin
Influence of Metal Concentrationsand pH on the Toxicity ofContaminated Floodplain Soils,Grant -Kohrs Ranch N.H.S., Montana
Prediction of Toxicity ofSediments Containing ComplexContaminant Mixtures
Seasonal Effects of the McLarenTailings on Soda Butte Creek andYellowstone National Park, Montana
The Potential for BiologicalEffects of Sediment-SorbedContaminants Tested in theNational Status and Trends Program
Upper Arkansas River VegetationAssessment
Determination of Population-limiting Critical SalmonidHabitats in Colorado Streams Usingthe Physical Habitat SimulationSystem
'^^^^^^^^^^^Mullins, W.H., S.A. Burch
Munshower, P.F., and D.R.Neuman
Mussetter, R.A. and M.D.Harvey
National Academy of Science,Committee on Medical andBiologic Effects ofEnvironmental Pollution
National Academy of Sciences,subcommittee on MineralToxicity in Animals
National Biological Service
National Biological Service
National Biological Service
National Biological Service
National Oceanic andAtmospheric Administration
Natural ResourcesConservation Service
Nehring, B.R., and R.M.Anderson
iSateJ-
1994
1979
1995
1977
1980
1995
1995
1995
1995
1990
1997
1993
!r ^ /yi feren 5 p|U.S. Fish and WildlifeService, Memorandum,Portland, Oregon
Bulletin of EnvironmentalContaminant Toxicology
unpublished report
National Academy of Sciences,Washington, D.C. 332 pp.
Mineral Tolerance of DomesticAnimals
U.S. National BiologicalService, NBS InformationBulletin
U.S. National BiologicalService, NBS InformationBulletin No. 29
U. S. National BiologicalService, U. S. Department ofthe Interior, NBS InformationBulletin, No. 23 1995
U. S. National BiologicalService, U. S. Department ofthe Interior, NBS InformationBulletin, No. 25 1995
National Oceanic andAtmospheric Administration,National Ocean Service, NOAATechnical Memorandum NOS OMA52, Seattle, Washington
•: ••• -v';.V v *- ' TltlifrlW". &:&i¥:'AJi"•:"...•„•• .-..:•, \' -.<>-3:'*>j-i"-S.'-.-:'l -s> i •;';•-•-«;£?"•'••.>;••••'.Observed Field Tolerance ofCaddisfly Larvae (Hesperophylaxsp.) to High Metal Concentrationsand Low pH
Progress Report for Upper ArkansasRiver Water Quality andMacroinvertebrate Studies, AppliedScience Referral Memorandum No. 92-2-1
An Assessment of RiparianEnvironmental Quality by usingButterflies and DisturbanceSusceptibility Scores
Aquatic MacroinvertebrateCommunities and Probable Impactsof Various Discharges, UpperArkansas River
Assessment of Leadville MineDrainage Tunnel Impacts on theUpper Arkansas River usingHyporheic Pot Samples
Distribution of AquaticMacroinvertebrates in Relation toStream Flow Characteristics in theArkansas River
Effects of Multiple Stressors onHyporheic Invertebrates in a LoticSystem- -DRAFT
Relationships Between Metals andHyporheic Invertebrate CommunityStructure in a River Recoveringfrom Metals Contamination
Relationships between Metals andHyporheic Invertebrate CommunityStructure in a River Recoveringfrom Metals Contamination
Results of MacroinvertebrateSurveys in the Upper ArkansasRiver Related to the LeadvilleMine Drainage Tunnel Discharge -1994
Selection of an Indicator Organismfor Biological Monitoring of MetalPollution on the Upper ArkansasRiver
Colloidal Properties ofFlocculated Bed Material in aStream Contaminated by Acid MineDrainage, St. Kevin Gulch, Colorado
The effect of heavy metals onpopulations of small mammals fromwoodlands in Avon (England) withparticular emphasis on metalconcentrations in Sorex araneus L.and Sorex minutus L
Direct Revegetation of MineTailing: A Case Study in Colorado
Status of Instream FlowLegislation and Practices in NorthAmerica
Work Area Management Plan for theCalifornia Gulch Superfund Site,Implementation by ResurrectionMining Company, Appendix D
Final Work Plan, Metal Speciationand Source CharacterizationCalifornia Gulch
The Transport of Heavy MetalsWithin a Small Urban Catchment
Dispersal of Heavy Metals fromAbandoned Mine Workings and TheirTransference Through TerrestrialFood Chains
Effects of Diversions on WaterQuality and MacroinvertebratePopulations in the Upper ArkansasRiver
The Effects of Heavy MetalsPollution of the Upper ArkansasRiver on the Distribution ofAquatic Macroinvertebrates
Ramsdell, H., S. Zylstra
Ranville, J.F., K.S. Smith,D.L. Macalady and T.F. Rees
Relative Importance of Water andFood as Cadmium Sources to thePredatory Insect Sialis velata(Megaloptera)
Contaminants, Fish, and Hydrologyof the Missouri River and WesternTributaries. In: Proceedings ofthe Symposium on RestorationPlanning for the Rivers of theMississippi River Ecosystem
Metals in Water: DeterminingNatural Background Concentrationsin Mineralized Areas
Plecoptera and Trichoptera SpeciesDistribution Related toEnvironmental Characteristics ofthe Metal-Polluted Arkansas River,Colorado
Chironomidae (Dipter) SpeciesDistribution Related toEnvironmental Characteristics ofthe Metal-Polluted Arkansas River,Colorado
The Canada Geese of SoutheasternColorado
Active-, Inactive-, and Abandoned-Mine Information and SelectedGeochemical Data for the State ofColorado
Historical, Physical, and ChemicalLimnology of Twin Lakes, Colorado(Partial Article)
Derivation of Soil QualityCriteria Using Predicted ChemicalSpeciation of Pb and Cu
Chemical Speciation, Solubilityand Bioavailability of Lead,Copper, and Cadmium incontaminated Soils
Acute Oral Toxicity and Repellencyof 933 Chemicals to House and DeerMiceErythrocyte a-aminolevulinic aciddehydratase in birds. I. TheEffects of Lead and Other Metalsin Vitro
Biomonitoring of Lead-ContaminatedMissouri Streams with an Assay forErythrocyte ?-Aninolevulinic AcidDehydratase Activity in Pish Blood
S. M. Stoller Corporation,Boulder, CO, and Schager &Associates, Inc., Golden, CO
S.M. Stoller Corp. andSchafer & Assoc. for CotterCorp.
S.M. Stoller Corporation forResurrection Mining Company
Sartoris, J.J. and J.W. Yahnke
Sartoris, J.J., J.F. LaBountyand H. D. Newkirk
Sauve, S., A. Dumestre, M.McBride, and W. Hendershot
Sauve , S . F .
Schafer, E. W., Jr., and W.A. Bowles, Jr.
Scheuhammer, A.M.
Schmitt, C. J., M. L.Wildhaber, J. B. Hunn, T.Nash, M. N. Tieger and B. L.Steadman
a*fr(1998
1998
1996
1987
1977
1998
1999
1985
1987
1993
v ~S'&'&-:?' ' *L Rs rence"-- :' ;? ;;'-";:Ecological Risk Assessmentfor Cotter Corporation,Lakewood, CO
bissertation presented to thefaculty of the GraduateSchool of Cornell Universityin Partial Fulfillment of theRequirements for the Degreeof Doctor of Philosophy
Archives of EnvironmentalContamination and Toxicology14:111-129
Toxicology 45:155-163
Archives of EnvironmentalContamination andToxicology 25:464-475
Lincoln Park, Cotter Mill,arkansas river, Canon City,tailings, uranium, radon,molybdenum, radioactivity,water, ground-water, soils,biota, vegetation, birds,mammals
lincoln park, ecologicalrisk assessment, arkansasriver, downstream, uranium,water quality, terrestrial,aquatic, sediment, soil,birds, mammals, metals,radionuclides
California Gulch, riskAssessment, Resurrection,Leadville, metals,tailings, soils,phytotoxicity
USER, aquatic, Twin Lakes
Water Management, TwinLakes, Colorado, Metals,Sediments, aquatic
Ge ^ Bum, Tin and Arsenic inRaS^^ffects on Growth, Survival,pathological Lesions, and Life Span
pH-Dependent Toxicity of Cd, Cu,Mi, Ph, and Zn to Ceriodaphniadubia, Pimephales promelas,Hyalella Azteca and Lumbriculusvariegatus)
Status Report on Eutrema PenlandiiRollins as a result of FieldInvestigations in Park, Summit,Gunnison, Chafee, and Clear CreekCounties, Colorado in July andAugust 1991
Responses of Folsomia Fimetaria(Collembola: Isotomidae) to CopperUnder Different Soil CopperContamination Histories inRelation to Risk Assessment
Element Concentrations in Soilsand Other Surficial Materials ofthe Conterminous United States
Trace Metals in Ecosystems:Relationships of the Residues ofCopper, Molybdenum, Selenium, andZinc in Animal Tissues to Those inVegetation and Soil in theSurrounding Environment
Final Work Plan for theEngineering Evaluation/CostAnalysis for Stream Sedimentswithin Oregon Gulch Operable Unit10 (Partial)
Ingested Soil: Bioavailability ofSorbed Lead, Cadmium, Cesium,Iodine, and Mercury
Predicting cadmium, lead andfluoride levels in small mammalsfrom soil residues and by species-species extrapolation
Effects of Acid-Mine Drainage onthe Chemical and BiologicalCharacter of an Alkaline HeadwaterStream
Agronomic Investigations for theUpper Arkansas River RestorationProject -- Part 2 (year 2000)
arkansas river, vegetation,soils, 11-mile reach,grazing
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- yv." ••-'<••'";'•••;•.•' ; .'~<-i t'Tifle •"S'-'i-5"-""lf;''s- '-'* j 'jVK: '?.':•* :'~;?:^K'"'':!;2'--%-:»'-':}< .vW - tf ^ -•,•£''<••'-. -'?; «Agronomic Investigations for theUpper Arkansas River RestorationProject in 1999
Hydroxyl Radical Formation in St.Kevin Gulch, and Iron-Rich Streamin Colorado. In: U. S. GeologicalSurvey, Toxic Substances HydrologyProgram- -Proceedings of theTechnical Meeting, Phoenix,Arizona, September 26-30, 1988
Restoration of a Placer MinedTrout Stream
Transcript from Bernie SmithInterview regarding Hayden &Hallenbeck ranches
Water/Sediment Partitioning ofTrace Elements in a StreamReceiving Acid-Mine Drainage
Partitioning of Metals BetweenWater And Flocculated Bed Materialin a Stream Contaminated by AcidMine Drainage near Leadville,Colorado
Predictive Modeling of Copper,Cadmium, and Zinc PartitioningBetween Streamwater and BedSediment from a Stream ReceivingAcid Mine Drainage, St. KevinGulch, Colorado
Considerations of ObservationalScale when Evaluating the Effectof, and Remediation Strategiesfor, a Fluvial Tailings Deposit inthe Upper Arkansas River Basin,Colorado
Evaluating the Effects of FluvialTailings Deposits on Water Qualityin the Upper Arkansas River Basin,Colorado: Observational ScaleConsiderations
Siemer, E.G.
Sigleo, A. C., K. M.Cuningham, M. C. Goldberg andB.A. Kimball
Skidmore, P.B.
Smith, B., M.R. Nivens
Smith, K.S. and D.L. Macalady
Smith, K.S., D.L. Macaladyand P.H. Briggs
Smith, K.S., J.F. Ranvilleand D.L. Macalady
Smith, K.S., K. Walton-Day,and J.F. Ranville
Smith, K.S., K. Walton-Day,and J.F. Ranville
•J; patch;.
1999
1988
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2000
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2000
'^^-^•^f^^^o^^--:.;]:^^unpublished report
U. S. Geological Survey,Water ResourcesInvestigations Report 88-4220
Land and Water July/August,1995
Lake County GovernmentTranscripts
Water-Rock Interaction,Proceedings of the 7thInternational Symposium onWater-Rock Interaction - WR-7/Park City/Utah/USA 13-18July 1992
U. S. Geological Survey,Water ResourcesInvestigations Report 88-4220
U.S.G.S. Toxic SubstancesHydrology Program- -Proceedings of the technicalmeeting, Monterey California,March 11-15, 1991. WaterInvestigations Report 91-4034
In: Morganwalp, D.W. andBuxton, H.T. eds., U.S.Geological Survey ToxicSubstances Hydrology Program-Proceedings of the TechnicalMeeting, Charleston, SC, 8-12March 1999, Vol. I.
In: Proceedings from the 5thInternational Conference onAcid Rock Drainage, VolumeII. Published by the Societyfor Mining, Metallurgy, andExploration, Inc., Littleton,CO.
arkansas river, lakecounty, soils, plants,grazing, private lands,forage, vegetation
Metals, Transport, AcidMine Drainage, St. KevinGulch, Colorado, UpperArkansas River
Restoration, Mining, Trout,Montana, Cutthroat,aquatic, fish
college of the canons,arkansas river, downstream,metals, smelter, soils
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-Cotter Corporation Uranium MillSite
Investigations on Impacts of HighRunoff on Flushing Sediments fromthe Arkansas River and theDissolution and Toxicity of Metalsfrom Sediments on Aquatic Life
Deposition of Cadmium in Tissuesof Coturnix Quail Fed Honey Bees
Vertebrate Abundance and WildlifeHabitat Suitability Near thePalmerton Zinc Smelters,Pennsylvania
Recent Developments in FederalWetlands Law: Part I
Flow Regime Limitations ofColorado Trout Populations:Perspectives for WatershedManagement
Trace Element Accumulation In theTissues of Fish From Lakes withDifferent pH Values
The Utility of Metal Biomarkers inAssessing the Toxicity of Metalsin the American Dipper (Cinclusmexicanus)
A Summary of Environmental StudiesDone in the Upper Arkansas Basinas They Pertain to StreambankErosion in the Area- DRAFT
Reconnaissance of Water Quality ofLake Henry and Lake MeredithReservoir, Crowley County,Southeastern Colorado, April -October 1987
Accumulation of cadmium in and itseffect on bank vole tissues afterchronic exposure
Metal Contamination of a HighAltitude Mountain Valley Meadowdue to Heavy Metal Mining of aWorld Class Ore Body
;*?'.« "'p v. R e '& tv ' -i :<U. S. EnvironmentalProtection Agency, Off.Water. Reg. and Standards,Criteria and StandardsDivision, Washington, D. C.,EPA 440\5-80-079
U.S. Environmental ProtectionAgency Region VIIIHeadwaters Mining InitiativeCommittee in Conjunction withU.S. Fish and WildlifeService Colorado Field Office
U. S. EnvironmentalProtection Agency
U.S. Environmental ProtectionAgency
U.S. Environmental ProtectionAgency Region VIII HeadwatersMining Initiative Committeein conjunction with U.S. Fishand Wildlife Service ColoradoField Office, September 1994
U.S. Environmental ProtectionAgency, EPA Work AssignmentNo. 63-8LJ6, ARCS ContractNo. 68-W8-0112
U. S. EnvironmentalProtection Agency, Office ofWater, Washington, D. C.,May, 1995
U. S. EnvironmentalProtection Agency, ToxicsIntegration Branch, Office ofEmergency and RemedialResponse
U. S. EnvironmentalProtection Agency,Environmental ResearchLaboratory, Duluth, Minnesota55884 EPA-600/3-76-105,October 1976
U. S. EnvironmentalProtection Agency Library
U.S. Environmental ProtectionAgency, ARCS Contract No. 68-W8-0112, EPA Work AssignmentNo. 63-8LJ6
; : - ¥iiilKiyW[6rdsC'r%-V; -,f ;%•;
Water Quality, zinc, metals
Arkansas River, WaterChemistry, Fish,Invertebrates, Metals, CIS
California Gulch-General
college of the canons,arkansas river, downstream,metals, smelter, aquatic,air, sediment, waterquality, soils
Arkansas River Basin,Hardrock Mining, Smelting,water Quality, Fish,Sediment, Metals
U.S. Environmental ProtectionAgency, Roy F.Weston, Inc.
U.S. Environmental ProtectionAgency, U.S. Bureau ofReclamation
I
iiBate
1999
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1993
1983
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2002
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1988
fe-
;••:.« -x£ K-.;' ;JReferehce} .-i->i -v ;&w:; i •!-.<:';-'-- :.oJv.---.-..;i'.->--!- ff!T~.' "\i -'•?*letter report to UpperArkansas River RestorationProject Core Team
U.S. Environmental ProtectionAgency, Contract No. 68-W8-0112, EPA Work Assignment No.63-8LJ6, CM2M Hill MasterProject No. RME68111
U.S. Environmental ProtectionAgency
U.S. Environmental ProtectionAgency
U.S. Environmental ProtectionAgency, ARCS Contract No. 68-H8-0112, EPA Work AssignmentNo. 63-8LJ6, CH2M Hill MasterProject No. RME68111
U. S. EnvironmentalProtection Agency
U.S. EPA Region VIII,Superfund Program 83-C-2388
U. S. EnvironmentalProtection Agency,Environmental MonitoringSystems Laboratory, LasVegas , Nevada
U.S. Environmental ProtectionAgency Region 8
CJ. S. EnvironmentalProtection Agency, WA 53-8L29.0/W63785.T1, June 1987
U. S. EnvironmentalProtection Agency, In:Remedial Planning Activitiesat Selected UncontrolledHazardous Substance DisposalSites in the Zone of RegionsVI, VII, and VIII, Arcs VI,VII, VIII
Unpublished Study Report
7 «:gi™ Key:yy f ggiiiarkansas river, fluvial,tailings, metals,remediation, 11-mile reach,soils, amendments, biosolids
Smeltertown, downstream,arkansas river, metals,smelting, soils, ecologicalrisk, water quality,aquatic, terrestrial,birds, mammals, plants,sediment
CJ. S. EnvironmentalProtection Agency, RegionVIII, Work Assignment No. 31-8L29, DCN 4800-31-0123
U. S. EnvironmentalProtection Agency, RegionVIII, Denver, Colorado DCN4800-01-0799
U.S. Environmental ProtectionAgency, Region VIII, Denver,Colorado DCS 4800-01-0793
U. S. EnvironmentalProtection Agency, RegionVIII, Denver, Colorado DCN4800-01-0666
U.S. Environmental ProtectionAgency, Region VIII, Denver,CO, DCN: 4800-01-0382
U.S. Environmental ProtectionAgency, Region VIII, Denver,CO, DCN: 4800-01-0382
U.S. Fish and WildlifeService, Region 6, Denver,Colorado
U. S. Fish and WildlifeService, Region 6, Denver,Colorado, Prepared andSubmitted by: GreenbackCutthroat Trout RecoveryTeam, 28 February 1995
U. S. Fish and WildlifeService, Biological Report85(1.14) , April 1988
U. S. Fish and WildlifeService, Office of BiologicalServices, Eastern Energy andLand Use Group, WorkshopProceedings, December 6-7,1977, April 1978, William T.Mason, Jr., Editor
H^^^Kdmium Residues Observeddu Bg a Pilot Study in Shorebirdsand Their Prey Downstream from theEl Salvador Copper Mine, Chile
Bird List - Upper Arkansas River,Lake County
Seasonal Relationships Between theBenthos, Invertebrate Drift andBrown Trout Predation (AbstractOnly)
Effects of Copper, pH and Hardnesson the Critical SwimmingPerformance of Rainbow Trout(Salmo giardneri Richardson)
Mercury, Arsenic Lead, Cadmium,and Selenium Residues in Fish,1971-1973, National PesticideMonitoring Program
Impact of Water Level Changes onWoody Riparian and WetlandCommunities
Preliminary Assessment of theEffects of Acid Mine Drainage onGround Water Beneath a WetlandNear Leadville, Colorado
Effects of Fluvial TailingsDeposits on Soils and Surface- andGround-Water Quality, andImplications for Remediation- -Upper Arkansas River, Colorado,1992-96
use of Mass-Flow Calculations toIdentify Processes ControllingWater Quality in a SubalpineWetland Receiving Acid MineDrainage, St. Kevin Gulch, Colorado
Hydrology and Geochemistry of aNatural Wetland Affected by AcidMine Drainage, St. Kevin Gulch,Lake County, Colorado - DRAFT
•^'-:^<*S^^!ttm'S^p^Z;iyf^:::;,•';• :.;:•;.• vSi -f~ .:• :>v "•••'•' JT- ?•'*"'«";•&!;•«-•••!••• :- f X'« . ,:Iron and Zinc Budgets in SurfaceWater for a Natural WetlandAffected by Acidic Mine Drainage,St. Kevin Gulch, Lake County,Colorado- DRAFT
CONFIDENTIAL - Water-Quality, SoilChemistry, and Geologic Data for aProperty along the Arkansas Rivernear Leadville, Colorado
Effects of Remediation onGeochemistry and Hydrology of theUnsaturated Zone of FluvialTailings Deposits in theFloodplain of the Upper ArkansasRiver, Colorado
Effect of Placer Mining (Dredging)on a Trout Stream
Effect of Mine Drainage on theQuality of Streams in Colorado
The WRRI Trout Cover RatingMethod: Development and Application
The Effect of Graded Doses ofCadmium on Lead, Zinc and CopperContent of Target and IndicatorOrgans in Rats (Front page)
Cadmium Content of Indicator andTarget Organs in Rats after GradedDoses of Cadmium (First page)
Use of Environmental Variables toEstimate Metal Loads in Streams,Upper Arkansas River Basin,Colorado
Selected Hydrologic Data for theUpper Arkansas River Basin,Colorado, 1986-1989
Uptake and Retention of Cadmium byM| £d Ducks
y y; ££f yttiQ igv | 'H$g*::Walton-Day, Katherine
Walton-Day, Katherine andTracy J. Yager
Walton-Day, K. , R.w. Healy,F.B. Maestas, and A. Ranalli
Webb, W.E. and O.E. Casey
Wentz, D.
Wesche, T.A.
Wesenberg, G. B. R. , G. Fosseand P. Rasmussen
Wesenberg, G., G. Fosse, P.Rasmussen and N. P. B.Justesen
Wetherbee, G.A. and B.A.Kimball
Wetherbee, G.A., B.A. Kimballand W.S. Maura
White, D. and M. Finley
¥-Date*£
1995
1992
2000
1961
1974
1980
1981
1981
1991
1991
1978
_
il' ;i¥iv a'" ;':i ;R«terence: L'i:J.'jS;'<>i'-- -y?•: •;»'• ~.:~fi~. ' :•• •" ?.' -" :, ••• ••". V -. Wi ••' > 5~ " >-:T i.
in Morganwalp, D.W., andAronson, D.A, (eds.), U.S.Geological Survey ToxicSubstances in HydrologyProgram- -Proceedings of theTechnical Meeting, ColoradoSprings, CO: U.S.G.S. Water-Resources InvestigationsReport 94-4015, 2:759-764
U. S. Bureau of LandManagement , prepared by U . S .Geological Survey, WaterResources Division, ColoradoDistrict, December, 1992
In Proceedings from the FifthInternational Conference onAcid Rock Drainage, VolumeII, 2000, pp. 1450
State of Idaho, Department ofFish and Game Report, ProjectDJ-F-34-R, Job 3
U. S. Geological Survey,Colorado Resource Circ. No.21, 117p.
Water Resources Series No. 78Completion Report, WaterResources Research Institute,University of Wyoming
American Journal ofEnvironmental Studies 17:191-200
International Journal ofEnvironmental Studies 16:147-155
in Mallard, G.E. and Aronson,D.E. (eds.) USGS ToxicSubstances Hydrology Program;proceedings of the technicalmeeting, Monterey CA, March11-15, 1991, WRI 91-4034, p.398-406
Source Query: JA010004VTask 2 - Data Acquisltion\DataAnalysis\LNRD_DataAnalysis.mdb - p,ryOa/aSrc_Report
LNRD #
LNRD-001 Surface Water Quality Data for theArkansas River
'SoifceOrgartotkih
USFWS
LNRD-006 !Cal Gulch Water Quality Data MSSI
LNRD-010
LNRD-011
ill.•;•„;' -Autria '?•':
Arkansas River Database- USFWS1994
Cal Gulch WQ Data IISSISurface Water Quality Data from CSU- CSU-AEHS IWator Quality data (1968- -Clements (CSU)AEHS (1968-1996) I 1996)Colorado River Watch Dala - Surface CDOWWater i
LNRD-015 i Division of Wildlife Water Quality Data
LNRD-016
LNRD-017
LNRD-020
LNRD-021
CSU - Department ofFishery and WildlifeBiology
CDOW-RiverWatch data CDOW
DOW WQ and Discharge iCIements (CSU)Dala
Soil and Vegetation -Plant Cover. CSU [1986/1987 Soil and KeammererProduction. Tissue & Soil Metal j [vegetation Metals DalaConcentrations1996 Upper Arkansas Soil Data ! URS Operating 1996 Upper Arkansas Soil EPA/URS
SC00908020DCBSC00908021CAASample from a well on undeveloped land bordering the east side of the Arkansas Riverapproximately .5 miles south of the East Fork confluence.Lake Fork MHP, Blend TankMt Elbert TP, Well #1SC01008004BCDSC00908033CCDSC00908032DAC
Arkansas River at trailer park
Groundwater monitoring well
SC01008008ADCSC01008C09ABCSample collected from a spring pool north of a ranch on County Road 44. south ofeadville.ample collected from a spring pool north of a ranch on County Road 44, south ofeadville.ample from the kitchen tap in a residence, on County Road 44, south of Leadville.
Sample from a dug well behind a residence on South highway 24, Leadville.
Pinon Pines MHP, Well #1Snowy Peaks RV & MHP, Well #1 - Irrigation onlySnowy Peaks RV & MHP, Well #2Snowy Peaks RV & MHP, Well #4 (aka NEW WELL)Snowy Peaks RV & MHP, Pipeline for Wells #2 & #4Buena Vista Correctional Fac., CisternColleqiate Valley MV. Block WellMt Princeton MHP & RVP, Well #1Shangri La TC, Well #1Valley MHP. Blend Tank #1Chateau Chaparrel CG, Well #1Chateau Chaparral CG. Wall #2
C01407805BADC01307831BDB
C01107931CDAesslers MHP. Well #1 / Westesslers MHP, Wells #1 and #2
PIRAL COLD SPRING
A05000931BAB
A05000825BCC
A05000822DABA05000821AAC
ig Springs TP, Big Springountain Vista Villaqe, Pump House TankA04801231BBD
A04801129ACC
ANON CITY HOT SPRING
A49-10-20CDOA49-10-20CDCWISSVALE WARM SPRING AWISSVALE WARM SPRING FWISSVALE COLD SPRINGELLSVILLE WARM SPRING
• ;*•"•••-^v4''2*T-'.l?1 f r ' ..•v«;r;r'Ii
•$8M;%>&.'".-•s^*.«>.Si
IV. . CD:.r :Q-20592059205920592059.20602219199619972067199619972067199619972067199820681998206819982068199820682226222622262227222722272228222822291222S223062230722256222572225823592364
Sampled from a tap from the well in a Leadville residence, on Highway 300, Leadville.Sampled from a kitchen tap in a Leadville residence, on Highway 300. Leadville.
Mountain View Village West, Tank - no longer in useMountain View Village West, Well #1Mountain View Village West. Common PiplineVillage at East Fork, Well #1Mountain View Village East, Well #1Mountain View Village East, Chlorination FacilityOld Pines, Well #1SC00908012ACASC09-79-06BDBSC00907906BADSC00807932DBDSC00807910DDDCollected sample from a kitchen tap at a Molly Brown Trailer Park residence, north ofLeadville.collected sampled from a tap near the well in a wellhouse after a storage tank in Sansabel Trailer Park, Leadville.
Gauging station on Arkansas River immdiately downstream from confluence of EastFork and Tennessee Creek150 m downstream from CG
Arkansas River approximately 0.5 miles downstream of confluence with California GulcArkansas @Cal GulchHatchery Rd. - below Cal GulchArkansas River -Below California Gulch
Highway 24 BridgeSmith BridgeArkansas River -Near Malta
At County Road 55 near KobeOld Highway 24 BridgeCounty Road 55 BridgeARKANSAS RIVER
Ark above Lake Ck. Conn.
Granitepproximately 3 km downstream from Graniteuena Vista
Granite BridgeRR Bridge ffl BalltownJuena Vista Ballfield
Ark below Lake Ck. Confl.Arkansas River -At GraniteArkansas River -At Buena VistaArkansas River -Near Nathrop
Arkansas River -At Salidapiral Driverowns Canyon
Vrkansas River -Near WellsvilleVrkansas River -At CotopaxiArkansas River -At ParkdaleKansas River -At Canon Cityeedlot Bridgeportsmans Bridgeallie Bridgereens Houseoaldale Bridgeotopaxi Bridgead Spot in Road
•••:£-:W&,%V:-!:fC-.','::$*:$&&;,*"•>&;•"••'.'.:.-v\i;iJ!-y:§ •:;."•• . V. •fVrt-1.-' N'.'-:,./:. . .•'..'••^tit&#r$&:iv.V-^M^EV'fe. •'•:•;.^V/^VKEY-V;..:'''- :.-; '•;•„.!• i •!..!. ••= :"!»;• .' • -••:'. > ' CO ••.•-.-• .
ArkRSArkRSArkRSArkR9ArkR9ArkR9ArkRSArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArk Riv nr Cal Cut (AR2)Ark Riv nr Cal Gul (AR2)Cal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark Riv
PUEBLO RESERVOIR SITE 4APUEBLO RESERVOIR SITE 48PUEBLO RESERVOIR SITE 4CPUEBLO RESERVOIR SITE T3TPUEBLO RESERVOIR SITE 3APUEBLO RESERVOIR SITE 38'UEBLO RESERVOIR SITE 3C'UEBLO RESERVOIR SITE T3T
PUEBLO RESERVOIR SITE 2A'UEBLO RESERVOIR SITE 2B
PUEBLO RESERVOIR SITE 2C
Arkansas River -At PortlandPortlandPUEBLO RESERVOIR SITE T7TPUEBLO RESERVOIR SITE T6T1PUEBLO RESERVOIR SITE 6APUEBLO RESERVOIR SITE 7APUEBLO RESERVOIR SITE T5TPUEBLO RESERVOIR SITE T5TPUEBLO RESERVOIR SITE 5APUEBLO RESERVOIR SITE 6CPUEBLO RESERVOIR SITE 5C'UEBLO RESERVOIR SITE 7B'UEBLO RESERVOIR SITE 6E
PUEBLO RESERVOIR SITE 5EPUEBLO RESERVOIR SITE T6T2
UEBLO RESERVOIR SITE 7C
rkansas River -Above California Gulchmmediately upstream from California Gulchatcherv Rd. - above Cal Gulchatchery Road Bridgealifomia Gulch immediately upstream of confluence with Arkansas Riveralifomia Gulch
ast Fork @ Tenn. Creekast Fork of the Arkansas River at the crossing of Highway 24ast Fork of the Arkansas River immediately upstream from Tennessee Creekast Fork @ Cabinspper East Fork
inton Field 1 (north) (begin)'nton Field 1inton Field 1nton Field 1nton Reid 1nton Field 1nton Field 1nton Field 1 (north) (End)eck Fieldeck Fieldeck Field
Beck FieldBeck FieldBeck FieldHinton Field 2Hinton Field 2Hinton Field 2Hinton Field 2Hinton Field 2Hinton field 3 (south) (beqin)Hinton field 3•linton field 3Hinton Held 3Hinton field 3 (south) (end!Leadbetter Field (begin)Leadbetter Field.eadbetter FieldLeadbetter FieldLeadbetter Reid (End)
Clear CreekClear CreekClear CreekClear CreekClear CreekClear CreekChampion State Wildlife AreaChampion State Wildlife AreaChampion State Wildlife AreaChampion State Wildlife AreaChampion State Wildlife Arealiq Bend Recreation Siteiig Bend Recreation Sits
Biq Bend Recreation SiteBiq Bend Recreation SiteBiq Bend Recreation Siteloodplainloodplainloodplainloodplainloodplain
Grape CreekGrape CreekGrape CreekGrape CreekGrape Creek
ARKANSAS R. BELOW LEAOVILLE. COLArkansas River near Leadville CO.ARKANSAS RIVER NEAR LEADVILLE, CO.1 ARKANSAS RIVER NEAR LEADVILLE, CO.Arkansas River upstream of confluence with California Gulch, approximately 0.25 milesdownstream of confluence with Tennessee Creek (ARCS')Gauging station on Arkansas River immdiately downstream from confluence of EastFork and Tennessee CreekGauging station on Arkansas River immdiately downstream from confluence of EastFork and Tennessee CreekGauging station on Arkansas River immdiately downstream from confluence of EastFork and Tennessee CreekArkansas River at USGS gaging station immediately downstream from the confluencewith Tennessee Creek and East Fork Arkansas RiverArkansas River upstream of confluence with California Gulch, approximately 0.25 milesdownstream of the confluence with Tennessee CreekArkansas River at Leadville (at USGS Gage)
Arkansas River upstream of confluence with California Gulch, between AR-1 and AR-2:LUVIAL TAILINGS SURFACE WATER
SAMPLE FROM YH£ ARKANSAS RIVER, OFF^ THE EAST BANK, AT A U.S.G.S.GAGING STATION ON THE RIVER, APPX .25 Ml SOUTHWEST OF LEAOVILLEJUNCTION.Sample from the Arkansas River, off the east bank, at a USGS gaging station on theriver, aooroximatelv.25 miles southwest of Leadville Junction.Below California Glelow California G/25.020
ARKANSAS RIVER BLW CALIFORNIA GULCHApproximately 0.5 km downstream of California Gulch, after complete mixing occurs withthe Arkansas River50 m downstream from CG50 m downstream from CG50 m downstream from CG
Arkansas River blw California Gulch (east bank)
Arkansas River approximately 0.5 miles downstream of confluence with California Gulch
rkansas River approximately 0.5 miles downstream of confluence with California Gulch/4 mile ds of Cal Gulch on Harry Becks property, just south of the AR3 station on Editheppis property
rkansas River approximately 0.5 miles downstream of confluence with California Gulch
East 1/3 Arkansas River in mixing zone with California Gulch (AR3 & AR03')West 2/3 Arkansas River In mixing zone with California Gulch water (AR03*)
OWNSTREAM OF CA. GULCH/ARKANSAS RIVER CONFLUENCELUVIAL TAILINGS SURFACE WATER
Arkansas River -Below California GulchRKANSAS RIVER STATION #4AMP FRM E SIDE OF ARKANSAS RVR APPX .25 Ml S OF THE CONFLUNCE W/AL GULCH JUST S OF STATE HWY 300ample from the east bank of the Arkansas River approximately .25 miles south of the
Confluence with California Gulch, just south of State Highway 300.•kansas River near Malta CO.RKANSAS RIVER NEAR MALTA, CO.
Vkansas River approximately 0.5 miles downstream of confluence with Lake ForkAR02-)
Ml: Arkansas River approximately 0.5 miles downstream of confluence with Lake Fork;older Arkansas River below confluence with Halfmoon Creek - Lake Fork
Vkansas River blw Lake Fork and Halfmoon Ck
Vkansas River -Below Lake Fork\rkansas River -Near MaltaARKANSAS RIVER STATION #5AMP FRM THE ARKANSAS RVR NEAR CTY RD 44, S OF LEADVILLE 25 FTPSTREAM OF A RANCH BRIDGE (CROSNG ARKANSAS) OFF THE E BANKample from Arkansas River near County Road 44, south of Leadville, 25 ft upstream ofranch bridge (crossing the Arkansas) off the e bank.ample from the east bank of the Arkansas River approximately 100 feet upstream ofe bridge at the river crossing and State Highway.
Vkansas River below Empire Gulch near Malta CO.RKANSAS RIVER BELOW EMPIRE GULCH NEAR MALTA, COkansas River upstream of confluence with Empire Gulch and approximately 0.25 miles
At County Road 55 near KobeAt County Road 55 near KobeAt County Road 55 near KobeSMI: Arkansas River upstream of confluence with Empire Gulch and approximately 0.2mites downstream of Highway 24 bridge; Golder.Arkansas River below confluence withEmpire GulchArkansas River at qaqe blw Empire Gulch (near Hwy 24 bridge)
ARKANSAS RIVERARKANSAS RIVER STATION #6
ARKANSAS R AS TWOBIT GULCH NR GRANITE. CO.
Arkansas River at Balltown (blw Lake Creek)Arkansas River across from Panark LodqeArkansas Rfver at Granite CO.ARKANSAS RIVER AT GRANITE, CO.ARKANSAS RIVER AT BUENA VISTA. CO.Clarks BrMarquard Nature AreaOtero Pump StationJohnsons VillageARKANSAS R9 ARKANSAS RIVER NEAR PINE CREEK SCHOOL, CO.GraniteARKANSAS R. AB. BUENA VISTAGraniteGraniteGraniteArkansas River at Granite (at USGS gage)Arkansas River 2 miles downstream from AR7Buena VistaBuena VistaBuena VistaArkansas River at Buena Vista (at USGS gage)Arkansas River -At GraniteArkansas River -At Buena VistaArkansas River -Near NathropARKANSAS RIVER NEAR SALIDAARKANSAS RIVER NEAR NATHROP, CO.ARKANSAS RIVER AT SALIDA, CO.Shavano USGSNA49-8-1CBB C P MORGEN6 ARKANSAS RIVER NEAR BELLEVIEW. CO.
ARKANSAS RARKANSAS RIVER NEAR BROWNS CANYON BRIDGEArkansas River -At SalidaARKANSAS RIVER NEAR CANON CITYARKANSAS RIVER NEAR WELLSVILLE, CO.ARKANSAS R AT PARKDALE SIDING NEAR PARKDALE. CO.ARKANSAS RIVER AT PARKDALE. CO.
RKANSAS RIVER AT CANON CITY^ CO.tockyard Brotopaxith St Brarkdale
ARKANSAS RIVER AT COTOPAXI. COA49-09-09ABD
Arkansas River -Near WellsvilleArkansas River -At CotopaxiArkansas River -At ParkdaleArkansas River -At Canon CityRKANSAS RIVER BELOW CANON CITY
ARKANSAS RIVER AT PORTLAND, CO.RKANSAS RIVER NEAR PORTLAND. CO.
MacKenzie Brortland USGSnion Hill MillUEBLO RESERVOIR SITE 4AUEBLO RESERVOIR SITE 4BUEBLO RESERVOIR SITE 4CUEBLO RESERVOIR SITE T3TUEBLO RESERVOIR SITE 3A
»ip:'A•!(.:£$&•*• !.'•;;:••• ;-:.::•'•'••'•ifr'1' •••''« •' •'• ' "' •-ArkR9ArkR9ArkR9ArkRSArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkR9ArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArkRIOArk R10ArkRIOArkRIOArkRIOArkRIOArk Riv nr Cal Gul CAR2)Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)
Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)
Ark Riv nr Cal Gul (AR2)
ArkRivnrCalGul(AR2)
ArkRivnrCalGul(AR2)ArkRivnrCalGul(AR2)Ark Riv nr Cal Gul (AR2)Ark Riv nr Cal Gul (AR2)ArkRivnrCalGulIAR2)Cal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark RivCal Gulch-At Ark Riv
PUEBLO RESERVOIR SITE 3BPUEBLO RESERVOIR SITE 3CPUEBLO RESERVOIR SITE T3TPUEBLO RESERVOIR SITE 1APUEBLO RESERVOIR SITE 2APUEBLO RESERVOIR SITE 2BPUEBLO RESERVOIR SITE 1BPUEBLO RESERVOIR SITE 2CPUEBLO RESERVOIR SITE 1CARKANSAS RIVER 1.5 Ml UPSTREAM SWALLOWSHARDSCRABBLE CREEK AT HWY 120 AT PORTLAND CO.IDEAL CEMENT FLORENCEIDEAL CEMENT FLORENCEArkansas River -At PortlandARKANSAS RIVER ABOVE PUEBLO. CO.PUEBLO RESERVOIR SITE T7TPUEBLO RESERVOIR SITE T6T1PUEBLO RESERVOIR SITE 6APUEBLO RESERVOIR SITE 7APUEBLO RESERVOIR SITE T5T2 AM2 ARKANSAS RIVER NEAR GOODNIGHTPUEBLO RESERVOIR SITE T5TPUEBLO RESERVOIR SITE 5APUEBLO RESERVOIR SITE 6CPUEBLO RESERVOIR SITE SBPUEBLO RESERVOIR SITE 5CPUEBLO RESERVOIR SITE 7BPUEBLO RESERVOIR SITE 5DPUEBLO RESERVOIR SITE 6EPUEBLO RESERVOIR AT DAMPUEBLO RESERVOIR SITE 5EPUEBLO RESERVOIR SITE T6T2PUEBLO RESERVOIR SITE 7CNature CenterNature CenterNature CenterAbove California GAbove California G/24.021ARKANSAS R AT MALTA. CO.ARKANSAS RIVER ABOVE CALIFORNIA GULCHArkansas River approximately 300 feet upstream of confluence with California GulchAR04')mmediately upstream from California Gulchmmediately upstream from California Gulchmmediately upstream from California Gulch
Arkansas River approximately 300 feet upstream of confluence with California Gulch
Arkansas River at Hwy 300 (blw bridge), Immediately upstream from California GulchArkansas River approximately 300 feet upstream of confluence with California GulchAR04*)Arkansas River -Above California GulchRKANSAS RIVER STATION #2
ARKANSAS RIVER STATION #3RKANSAS ABOVE CAL GULCHalifornia Gulch at Malta CO.ALIFORNIA GULCH AT MALTA, CO.CALIFORNIA GULCH AS MOUTH, NEAR MALTA, CO.
alifomia Gulch at mouth (using Stednick CG4)
alifornia Gulch at USGS gageCalifornia Gulch immediately upstream of confluence with Arkansas River (CG01*)alifornia Gulch immediately upstream of confluence with Arkansas Riveralifornia Gulch 200 feet above the confluence with the Arkansas River (CG01*)ALIFORNIA GULCH ABOVE ARKANSAS RIVER (LOWER FLUME)alifornia GulchALIFORNIA CULCH AND YAK TUNNEL STATION #5MPLE FRM CAL GULCH, DIR UNDER THE BRIDGE AT THE STATE HWY 300ROSSING, IN A WIDE AREA OF RIFFLESample from California Gulch, directly under the bridge at the State Highway 300ossing, in a wide area of riffles.OWER CAL GULCHT FLUME ABOVE CONFLUENCE W/ ARKANSAS RIVER
-AST FORK ARKANSAS RIVER AT HWY 91 NR LEADVILLE,eadville Mine Drainage Tunnel al Leadville CO.
LEADVILLE MINE DRAINAGE TUNNEL AT LEADVILLE, COEf Arkansas R at Us Hiway 24 CO.EF ARKANSAS R AT US HIWAY 24, NR LEADVILLE, CO.East Fork Arkansas River near Leadville CO.EAST FORK ARKANSAS RIVER NEAR LEADVILLE, CO.E FORK ARKANSAS ABOVE CLIMAXFRIB E FORK ARKANSAS ABV CLIMAXE FORK ARKANSAS NR SILVER HEADE F ARKANSAS R AT HWY 91 NR LEADVILLE. CO.EAST FORK ARKANSAS RIVER ABOVE CLIMAX)RAIN DTCH FROM AMAX MILL @ HY91E FK ARK @ BASE FREMONT PASS
E FK ARK 2 RD Ml BLW STN 7E FK ARK 8 ROAD Ml BLW STN 8
USBOR LEADVILLEEast Fork Arkansas River blw ClimaxEast Fork Arkansas River at Hwy 91 (near Climax)East Fork Arkansas River immediately downstream of Hwy 91 (EF02)East Fork of the Arkansas River near ClimaxEast Fork of the Arkansas River near ClimaxSMI: East Fork Arkansas River immediately downstream of Highway 91; GolderEastFork above confluence with Evans GulchEast Fork Arkansas River upstream of Evans Gulch and the Leadville Drain TreatmentPlantEast Fork Arkansas River immediately upstream from LMDT discharge, directly north oMolly Brown trailer parkEast Fork Arkansas River downstream of Highway 91- off private prop.East Fork Arkansas River below LMDTEast Fork Arkansas River downstream of Evans Gulch approximately 300 feet upstreamfHwy24(EF01)
East Fork of the Arkansas River at the crossing of Highway 91East Fork of the Arkansas River at the crossing of Highway 91
SMI: East Fork Arkansas River downstream of Evans Gulch approximately 300 feetpstream of Highway 24; Golden East Fork below confluence with Evans Gulchast Fork Arkansas River At Hwy 24 jat USGS gage)
East Fork Arkansas below LMDTast Fork of the Arkansas River at the crossing of Highway 24
East Fork of the Arkansas River at the crossing of Highway 24East Fork of the Arkansas River immediately upstream from Tennessee CreekEast Fork of the Arkansas River immediately upstream from Tennessee Creek
Arkansas River -East Fork, above Leadville Draineadville Drain
Arkansas River -East Fork, below Leadville DrainArkansas River -Naar Leadville
EAST FORK & LEADVILLE DRAINAGE STATION #5eadville Mine Drainage TunnelAMPLE FROM THE EAST FORK OF THE ARKANSAS RIVER OFF THE WEST SIDEF A BRIDGE ON AN UNNAMED DIRT ROAD, NORTHWEST OF LEAOVILLEUNCTIONample from the East Fork of the Arkansas River off the west side of a bridge on annnamed dirt road, northwest of Leadville Junction.AMP FRM THE LEADVLE TNNL DISCHRG, 20 FT DWNSTRM OF A FLUMEITUATED APPRX 40 FT N OF WHERE OISCHRG CROSSES UNDR THENTRANCE TO MOLLY BRN TRAILR PARKample from the Leadville Tunnel discharge. 20 feet downstream of a flume situatediproximately 40 feet north of where the discharge crosses under the entrance to Mollyrown Trailer Park.ample taken from the north bank of the East Fork Arkansas River approximately 3iles north of Leadville on Route 91, 100 yards downstream of the Lucky Two Motel,
.outh of the highway.RKANSAS BELOW EVANSVANS GULCH CONFLUENCELOW FROM THE CANTERBURY TUNNEL.
Arkansas R. Below LeadvilleArkansas River below Cal GulchArkansas River Near MaltaArkansas River0
0
Ear Cr. Res-Fry-Ark ProjectArkansas River At Granite
Arkansas River At Buena VistaArk at GraniteArkansas River Near SalidaArkansas River Near NathropCity Of Salida WwtpArkansas River Near WellsvilleCanon City Metro Sanitary DistrictArkansas River At ParkdaleArkansas River At Canon CityIdeal Cement FlorenceArkansas River Above PuebloArkansas R. D Gardner PlantArkansas River Above PuebloCalifornia Gulch At MaltaHeadwaters East Fork of the Arkansas RiverifabvStorke:f through wetlandsEast Fork of the Ark. River above Delmonica GulchChalk Creek abv tribChalk CreekEf blw DelmonUpper English GulchEast Fork of the Arkansas River.ow Birdseyelast Fork of the Arkansas River:f(S>qauge•ast Fork Arkansas River
noE Fk Ark 2 Rd Mi Blw Stn 7: Fk Ark @ Base Fremont Pass
Drain Dtch From Amax Mill @ Hy91E Fork Arkansas Above ClimaxE Fork Arkansas Nr Silver HeadEast Fork Arkansas River Below Leadville Draineadville Drain
Ark near LeadEast Fork Arkansas RiverEast Fork Arkansas River above Storke Portal
S Art Rl Cadmium. OiuolvedS Art Ri.Codmijm. DtssiitvedS Ark HI Codrnkm. Ottiotved "SArk HlTcidmkm. rjTsaalved " "S Art Rl.Cadmlum. DissolvedS Art R l.Codrrsum. Dissolved
Penad3Period 2
Penal 2
Period 2
Period 2
Period!'Period 1Period 2Period 2Period 2
"PeViod7
Period 2'Period 2
"Period 2Period 2Period 2Period 2
Period!
Period 2
Period 2'Period!PeriodsPeriod 3Period]PeriodsPeriodsPeriod:Period S
Sample bom a *ei on undeveloped land bordering the east side of tie Arkansas Rrvar. appnudmatciy .5Tites south of ffw East Fork confkience.SAMPLED FROU WELL ON UNDEVELOPED LAND BORDERING E SIDE OF ARKANSAS RIVER. S
GW Ml S OF E FORK CONFLUENC
GW
GW
GW
WWL ' JGWPubHc Water SystemsPublic Water SystemsPubic water SystemsPubHc Water SystemsPublic Water Systems
ECOLOGY AND ENV
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Sampto bom a w«l on undeveloped land bordering the east tide of ha Arkansas River, approxknalaty .5mtkts south ol ha Ea» Fork confluence.Sample from a wal on undeveloped land bordering the east tide of Via Arkanus Rtver. appraximalaty .Smiles south of tie East Forh confsjence.
Sampted bom a Up oil a ilorege tank In he wel house for Lake Fork Trafler Park, west of LeadvBe.
Afkansn River ai rUer parkke Fork UHP. Blend Tank
M» Fork UHP. Blend TankLake Fork MHP. Btend Tank
GW Lake Fork MHP. Bkmd TankGW^MI Eben TP. Wei 11
: SAMPLED FROU A TAP OFF A STORAGE TANK IN THE WELL HOUSE FOR LAKE FORK TRAILERGW iPARK. W OF LEADVO.LE
Laka Fork MHP. Blend TankUt Efcert TP. Wai f 1MtEbadTP.WeBtl
Sampkid from a lap ofl a storage tank In ffie wal house lor Lake Fork Trailer Park west of Loadvllte.Arkansas Rrvei at tamer pork
GW [Arkansas River el feeler parkGW ISampb tarn the kitchen tap hi a nuklance. on County Road 44. soutt of Leadv)
GW 1 Sample from tha kitchen tap hi a residence, on County Road 44. south ol LeadviGW -Sample from a we! at a residence, on County Road 44. souOi of LaadvQGW
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GW
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•cotogy 6 Envkvvnent. Inc
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Sample from the kfcchen tap In a residence, on County Road 44, south of Leadvi
Swnpkt from the Ufchen tap si a teikience. on County Road 44. tout) of Leadvi
Sampto from a dug wet behind a residence on SouA highway 24. Leadvi
SAMPLED FROU A DUG WELL BEHIND A RESIDENCE ON SOUTH HIGHWAY 24. LEAOVILLE
SAMPLED FROM A DUG WELL BEHIND A RESIDENCE ON SOUTH HIGHWAY 24 LEAOVILLESC01008034DCC " " " " " "Scmpte from a dug we! behind e residence on Souti highway 24. LeadvHSampted from a lap bom the wal in a Lendvflto raddence. on Highway 300. LeadvtSampled from a kitten tap in a LaaxMOa raddence. on Highway 300. LeadviSampled from e tap from the wri hi a UadvUe residence, on Highway 300. Leadvi
SAMPLED FROU A KITCHEN TAP IN A LEAOVILLE RESIDENCE. ON HIGHWAY 300. LEAOVILLESampled from a top from the wel tn a Laedvda residence, on Highway 300. Laadvl
Sampted from a taplram the wet In a Lesdvite residence, on Highway 300. LeadviSampted from • klutan tap tn a LtadvUe residence, on Highway 300, LaadvlSampte CQlectad from a spring pool north of a ranch on County Road 44. south ol Laadvl
Ecology & Environment, Inc ! GW {Sampto collected from a spring pool north of a ranch on County Road 44, south of Laadvl
Ecotogy & Environment Inc
Ecology « Erunronmard. Inc
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GW i3*rnpto cosected trom a spring pool north of ranch on County Road 44. sou B» of Leadvi
GW : Sample coDedad from a spring pool north of ranch on County Road 44. soutti of Loadvd
GW jsampto cotected from a spring pool north of ranch on County Road 44. Mufti of LaadvlGW !-OB9a.99
UOS&USGSfar£PA GW -0999.99UOS « USGS tor EPA 1 GW 1-0900.90UOS 6 USGS tor EPA ] GW !-9900 09EPAAJRSEPAAJRSEPAAJRSEPAAJRSEPAAJRSURS Oparaana Semen for EPAURS Opera** Services for EPAUOS 6 USGS tar EPA ~JOS* USGS kir EPA 'UOS & USGS far EPAUOS ft USGS far EPAEPAAJRSEPWURSEPAAJRSEPAAJR3
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App_E_gw_Tbl_1 o3.xls Page 1 of 15 10/22/2002
Groundwater Data forDissolved cadmium, copper, lead, and zinc data (mg/L) for all data sets, am
Is River Reaches 0 to 3.il cadmium, copper, lead, and zinc data (mg/L) for CDPHE data (LNRD-068).
S Art Rl.CadrrSum. DtssoNedSArt Hl.Codmlum. DissolvedSArt Hi Cudrnkm. DissolvedS Art R 1 .Cadmhxn. Disserved
Period 3 !uuw04SArt Rl.Cadrnrum. Dissolved Penod 3SArk Rl.Cedrrsum. Dissolved i Period 3SArk Ri Cadmhm. Dissolved j Period 3S"Art'Ri.Cadrrs\m. Dissolved i Pert 3
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1 70S211705287469153469169
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! 470397H i 705301LHHLLLHH
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fURS Opwmbng S«rv1c*. Icr EPA GW J.9999 99 ~~ " ' '• UOS A USGS lor EPA j GW •999999
.UOS A USGS br EPA GW j-9999.991 UOS A USGS tor EPA
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iEPAAJRS!URS Opanang Sarvtce* tor EPAiURS Opanbno Service* tor EPA
469043 "UOS A USGS tor EPA469059 JUOS A USGS tor EPA46907SJ
700647010370iiiTI"70138
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IQSAUSGStofEPAEPAAJRSEPAA/ffS1PAAJRSiPAAJRS
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L j 705181 iURS Gpantng Sarvlcu for EPAH i 469001 UOS A USGS tor EPAH S 469107 tuOS a USGS far EPAL i 469123 loOS 4 USC3 tof EPAL 1 469139 ! UOS 1 USGS far EPA. j 470227 IEPAAJRSH 470240 1CPAAJRSHLLH
rT*
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470202 iEPAAJRS470281 EPAAJRS470303 LPAAJRS705215 iURSOparalhgSarvtoulorEPA705271 URS Operating Sarvlcu lor EPA469155 [uOS A USGS tor EPA
469187 UOS A USGS tor EPA469203 JUOS A USGS tor EPA
470341 j EPAAJRS470357 IEPAAJRS
"470376"! EPAAJRS470390 > EPAAJRS705305 :URSOpantkigSarvka:i(orEPA7b~536l URS OparMng Servicas tor EPA
H 406060 UOS A USGS tor EPAHL
LHH
469085 JUOS A USGS tor EPA469001 UOS A USGS tor EPA
UOS A USGS tor EPA469992 EPAAJRS470011 iEPAAJRS470027
S~ArtR3CedmUjm.rjlMOrVed Pertod 3 UUWllS Ark HiCadmJum. biuotved Period 3 jUMWI 1SArt R3 Cadmium. Oti*o»vod Pariod 3 -UUWl 1SArt U.Codmium. biubived i P«tod 3 i UUWl 2S Art RJ.Cadmrum. Dissolved i Period 3 IUUW12
. Art H3 Codnaum. BisoNed i Periods UMW12S Art R3 Cadrraum. DUsotvod ! Pertod S ;UMW12S.Art R3.Cednium. Otuofved ! Penod S UUW12
Art R3.Cadmtum. Dissolved • Period 3 UMW12S.AJTRyCedmium. OluoWed Period 3 UUW12SArt R3 Cedmhm. OiHotved Periods UUWl 2
ArtR3Cadmiurn.Oiuohred Periods UUWl 2S Art R3 Cadrrium. Dluohed Penod 3 UUW12S Art RS Cadmium. Diuaived Period S !UUWl2S Art R3 Cndnjum. Dusahed i Period 3 i UMW 16S Art R3 Codmium. OUsaived S Pertod 3 jUUWiaS Art R3 Cedrrrium. Orsaalwd f Penod 3 (UUWIBSArt*MCadnum.6lua»nd i Period 3 ; UUWl 6SArt R3 Cadmium, nuorved Period 3 IUUW16S.Art R3 Cadmium. Dissolved i Pertod 3 -UUWlBS Art R3 Cadmium. Dissolved 1 Period 3 JUUW18S Art H3 CwHWum. DtssoNed j Pertod 3 JUUWI7AS Art RS.Cadrrium. Diuotved i Pertod S JUUW17ASArt R3.Cadmium, DJuoWed i Pertod 3 -UUWI7A
i/rtRjCadrnJurii. DIssoNed Periods UUWl ASArt K3 Cadmkm. Diuotved Periods UUWl ASArt R3 Cadrrrium. ObBoVMt ! Period 3 UUWl AS Art R3.Cadmun. Ottscdved | Periods UUWl BS.ArtR3.Cadrn^w.druatved i Periods UMW17BSAARXCadmJum Diisatved • Pertod 3 SUUW17BS.Art R3.Cadmiurn. OUsotved ! Period 3 .UUWI7BS.Art R3.Cadmtum. Olssotved Pertod 3 .UUW17BI.Art R3.Cadfr.ium. DIuolVBd Period 3 UUW17B
S.Ark R3.Cedn.tum. Oiisorvrri Pertod S UUW17BSArt R3 Cadnvun. Dlisotvad Penod 3 UUW18SArt R3 Cadnaum. Dissolved Penod S ;UUWlBS.Art R3 Cadneum, Otaurmd Period 3 !uUWlBS.Art K3 Cadmium. DUsotved j Pertod 3 i UUWl 8S Art RS.Codmrum. Dtuohed [ Pertod 3 jUUW B5 Art R3 Cadmium. Oniatwd Pertod 3 JUUW BS Art R3 Cadmium. Dissolved i Period 3 jUUW 10SArt H3 Capper. Dissolved ; Period 3 iAWT -1S Art R3.Cappor. Dtuoived S Period 3 !AWT 1SArt R3.Copper. Dr-sobed Pertod 3 iAWT .)S Art" R3.CoDper, OiuaWed Period 3 IAWT iSArt RS.Copper. DUsaWed t Penod 3 JAWT -1S Art R3 Capper. Dissolved 1 Period S AWT -2SArk R3 Copper. Diuaived j Period 3 AWT -2S Art R3 Copper. Dissolved Period 3 AWT -2S.ArtH3 Copper. Ditsofved ! Period 3 AWT -2S Art W Copper, aswrved i Period 3 iAWT 2S.Art H3.Cappar. DUtatved { Pertod 3 IAWT -3S Art. RJ Capper. Dissolved i Penod 3 AWT -3S.Art R3 Copper. Dl.iaNed p Period 3 iAWT -3S Art R3 Copper. blisaiMd ~| Period S JAWT OSAA R3.Copper. Dluarved period 3 :AW1 -3S iArt RJ Capper. Dissolved j" Period 3 jAWl -4S Art Rl.Cappet. Dissatved 1 Period 3 JAW1 -4S Art R3 Copper. OUsotved 1 Period 3 JAW1 -4S Art R3 Capjxtf . OtssaWed • Pertod 3 JAWl -45 Art HI Capper. OtssarVed Period 3 iAWT2-1
3 Art H3 Cap|j« . DUufced Period" 3~TAWtt"l ™SArh R3 Capper. Dissolved Periods AWT2-I
SArt R3 Capper. Oiuotved Pertod S 'AWT2-2SArt H3 Copper. duarVed i Pertod S • AWT2-2SArt R3.Cat.iper. Ottsorved | Pertod 3 .AWT2-2SArt"R3.Capper. OlssaWed i Period 3 SAWT2-2S Art R3 Capper. Dluatwed I Pertod 3 JAWT2-2
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L [ 4 0414 JEPAAJR3
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SArt R3.Laad. OlsioKwJ ! Partod 3 :UMWIOSArt RJ.Load. DlHoNed i Partod 3 UMW10S Art R3 Lead. Diuorvwl i Pwtod 3 UMW10S Ark R3 Laad. Dts*MWd Partod 3 UUW10
SAftR3Lead. Oltwrvwl Pwiod 3 UMW11S Art H3 load. DUubed i Pwtod 3 IUUW1 1S Art KD Land, Dliiofved Pwtod 3 jUUWI tS Art R3 Load. Disiohad Partod 3 UUWt 1SArt RJ Laad. DuaoNvd i Pwtod 3 ;UUW1 1S Art R3 Lead. Dtiurvw) •; Pared 3 ;UMW1 1S Art H3 Lead. Disaoivetf i Partod 3 jUUWiiS Art fl] Load. OUtofcw) ; Partod 3 -UUW1 1SArt R3.Lead. Dtesorwwl j Period 3 JUUWI tSArt R3Load. DhsoVed • Pwtod 3 JUUWI?SArt R3.Lud. QlMontad 1 Pwtod 3 !UMW12
S.Art RJ Laad. Dluobed j Period 3 'ufctWtaS Art R3 Load. Dusohrad i Pwtod 3 UWW12S.Art R3 Lead. DiuoNed I Pwtod 3 iU«W!2SArt RJ Laad. Dluowed i Panod 3 :UHW12SArtR3Lood. Oi«o**«d | Period 3 JUUW12S Art H3 Lead. Oliurved i Partod 3 JUUWI 2S Art RiXead. Otitatnd f Pwtod 3 JUUW1 2S Art R3 Lead. DlMotved j Period 3 |UMW)2SAA R3 Load. DUiovwJ 5 Periods UMW10S Art RJ.lMdro.iiitvwJ i Partod 3 'UUWIO
S Art R3 Leod.~Dtaioivod " j Period 3 JUMWJ8S Art R3 Lead. Uiufved Pwtod 3 ;UUWlflS Art R3 Load. Dtuorved * Pwtod 3 lUUWlOS A* R3 Laad. Dluotnd i Period 3 lUMWlSSArt R3 Lead. OUsoked 1 Parted 3JUUWI7ASAA R3 Load, OUloM* \ pirfod 3 :UUWl7A" "" ~S Art H3 Lead. Obsofred 1 Pwtod 3 JUMW17AS Art R3 Lead. Dluotoed } Period 3 |UMW17A 'S Art R3 Lort. Oluohrwl ^Peiwd 3 EUUW17A ""S Art '.to Laad. DtitoivlKl ; Porlod 3 UMW17A
o "GW ;-n9B.B9 ll| i N JLNRO-050 I 0GW14999.99 i | } j N 1 LNRD-050GW -9999.99 ; 1 i i ' '. H tLNRD-050GW 1-9999 99 ' j i ! \ t N iLNRD-OSOGW j-9999.99 i ( j j IN tLNRD-050GW '-999999GW 1-9899.99 }
! I i : N SLNRD-OSOi f i : N jLNRO-050! ! ! M [LNRD450 i
! ! i N iLNRD-OSO! | JN lLNRO-050
' i N ILNRO-OSOi 1 u N iLNRD-050
! 2.6 7.6 H LNRD-021• 26 7.6 i N LNRD-021
1 ! 2.6 7.6 5 N JLNRCMJ21i j 26 7.8 j N iU4RD-021i i 2 6 7.6 N ILNRO-023i ; 2 6 ! 7.S j H 1LHRO-021I i 2.6 ! 7.0 { H jLMRD-023j i 2.0 ! 7.0 ! N JLNRD423; : 2.6 ! 7.6 ! N 'LNRO-023
{ 2.6 > 7.6 i H JLKRO-OM1 2.6 | 7.6 : H LKR0450
' t 3 1 0 1 N LNRD-021! i 3 i 8 I N (LNRCWHtj i"3 j 8 N lLNRD-021
i ! 3 1 B j N iLNRD-023! * 3 1 0 ! N !LNR[M>23
-
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f
! 3 I 0 1 N jtNRD023ji 3 a ; N lLNRD-023 ;1 3 8 1 N ILNRD-023i 3 1 8 H iLNRCMrSO! i 2.7 1 7.7 N 1LNRD-021; 2.7! 7.7 i N ;LMRIM»i
!
!-•2.7 ! 7.7 ! N i LNRD-021 |
1 2.7 t 7.7 i H LNRO-023jT? ! 7~7 I N iLNRLV02"3< 2.7 ! 7.7 | N LNRD423 !
"" f2.7l 7.7 ! N LNRD-023 ]>. • 2.7 i 7.7 i H jLNRD-023
i 3 8 N <LNR04231 3 : 8 N tNRD-023! i 3 [ 6 N LNRO423t ! 3 I 8 H LNRD-023
j f 3 I 8 H iLNRO-O&OI i 3 f 5 N ILNRO-023i 1"3~|"5" N LNR0423"f J 3 j 5 N LNRD-OZ3
di 3 ! 5 N ILNRCM323! 3 • 5 N JLNRD423
; i 3 i s 1 N ILNRCMISO*
t
0
*
App_E_gw_Tbl_1 o3.xls Page 1 2 of 1 5 1 0/22/2002
Groundwater Data forDissolved cadmium, copper, lead, and zinc data (mg/L) for all data sets, aiinmRlci
River Reaches 0 to 3.cadmium, copper, lead, and zinc data (mg/L) for CDPME data (LNRD-06B).
_'. ••C-ii"' v. ..'.;•";;•*-S.Art RS Lead. DbsaN*d
.Art R3 land. DissolvedS Art R3 Lead. DissolvedS Art R3 Land. DissolvedS Art R3 Lead. DissolvedS Art R3 Leed. DUsoNedS Art R3.Lead~. Dissolved !
Art R3 Lead. DissolvedS.Art R3 Lead. Dissolved
SArt R3 Lead. Observed
Period 3<Periods
Period 3Periods j
_??*5. JPeriod 3 !Period3 !
~PeftadS
'"> ' X UFCStBOonHwmIUW17BJUW17BJUWI7BJUW17B
IUWI7BIUW17BIUW1BJUW18
Periods 'UUWIBArt R3 Lead. Dissolved i Period 3 JUUW1B
S. Art' R3 Land. Dissolved 1 Period 3 lUUwTifS Art R3 Lead. Dissolved j Parted 3 [UMV 8S Art H3~z££ DJuolvad i Period 3 [AWT -1SArtTrnZnc. Dissolved i Period 3 'AWT -1S.Art Rl Zinc. Dissolved ! Period 3 JAWT 1S Art R3.Ztnc. DissolvedS.Art R3 Zinc. QrstotvedS.AA R3.ZUVZ. DlESoNedS Art R3 ZJne. DissolvedS Art RSZInc. Dissolved
Art R3 Zhe. Dissolved
S.Art R3 Zinc. OusotvedS Art RS.Zrc. DissolvedS ArtTRlZlnc. CMssoNed
S.Art R3 Znc. DissolvedS Art R3 Ztnc. DlssolvadS Art RS Zinc. Dissolved
S Art RS Zinc. Dissolved
SArt R3 Zinc. Dissolved
T PeriodsPeriodsPeriods
AWT2-3AWT2-4AWT2-4
AWT2-4AWT2-*
Periods AWT2-4
Period 3 IAWT2-S
Period 3 rAWTZ-SSArt H3 Zinc. Dissolved ] Period 3 iAWT2-S
SArt R3 Zinc. Dissolved i Period 3 JAWT3-1SArt HJ.Ztnc, Dissolved i Period 3 ;AWT3-1S Art R3 Ztnc. Obarorved ) p*rtod 3 JAWT3-1S Art R3 ZJnc. ObsotvodSArt RS Zinc. Dissolved
j PeriodsTPertodi
SArt R3.ZJnc. Dissolved j Period 3
S.Art R3 Zinc, Dissolved
S. Art HJ Sic; DIssoNed
S.AA R3 Zinc, Dissolved
'Period 3Pariod 3Period 3
AWT 3-1jAWTS-lAWT3-2
AWT3-2AWT 3-2
AwrisAWT3-4
'period s IAWTMS.AA RS Zinc. Dissolved Period 3 | AWT3-4S Art R3 Zinc, Disserved • Period 3 i AWT 3-4S Art R3.Zhc. Olssorved j Period 3 IAWT3-5
S Art R3 Ztnc. OissolvAd < Period 3 IAWT3-S
S Art' RS Zinc. Dissolved [ Period 3 JAWTM ' ' 'S Art R3 Zinc. Dissolved I P«nod 3 AWT 3-6S Art H3 Zinc; Dissolved j Period 3 iAWT3-6
f2109
2100
2109
210V
2 002 24
Tvi
3 2'2 "243124
3 Ifi To2 109119
2~ 19
2U72117
2117
2117
2117
2118
2MB
21*182111
2111
2111
211:
211:
211;
2112
Yiiff2110
2110
2110
2110
2107
2107
2107
107107107
tCW^
•/be*'S/ZS/1999
>iEy3W 5/l6/t099;Le*d, ObservedCW I 6/15/l999:Lead. Dissolved:w ; 8/i7/i090iLaad.Otssalved
Art R3 Zinc, DluohmJ t P»rted 3S Art H3 Ztoc. Ottsolvad Parted 3SArt R3 Zinc. Olsuhwl Parted 3
Art R3 Zinc. blnatvad Pwtod 3
IWT4-2kWT4-2
AWT4-2kWT4-2kWT4-2
AWT4-3r\WT4J
IWT4-3AWT4-3
S Art R3 Zinc. Orualvad [ P«nad 3 1AWT4-3S Afk R3 Zinc. DJuofwd ! Pwtod 3 ;AWT4-4
Art R3 Zinc. Diuohwd Portod 3 ; AWT4-4S Art Rj Zinc. UsulvwJ i "Pttrnd 3SArt R3 Znc. Dascrnd i Pwnd 3 a
SArkrttZjnc DteaNad 1 Pwnd 3~ArtR3Zinc.DliMh.wl i Pwtod 3
SArk R3.Zmc. Oluorvod ! Pwtod 3
S Art R3 Zinc. Dluorrad i Pwtod 3SArt R3 Zinc. Disurvad Pwtod 3
AWT4-4>.WT4^AWT4-4AWT44AWT4-5
AWT4.5KWT4-5UMWIO
SArt R3 ZtriC CTnoKafl Pvtod 1 lUMWIOS Art RJ Zinc. DiublvBd Pwted 3SArt Ftizinc. Diwotvad Period 3
UUW10UUW10
Art ft! Zinc Diwotwd Pwtad3!UMW10SAA R3.Zlnc. OluorvwJ Parted 3 jUUWIO
i Art fifi Zinc. Oteiialvad Pwted 3 UUW10
i Art R3 Zinc OtuafrwJ Pwted 3 JUUW10S Art R] Zinc. OluatvwJ ' Pwtod 3 ;UUW10SArt R3 Zinc. btawiwd 1 Pwted 3 -UUW10S Art R3 Zinc. Oluafvad ! Pwted3|UUWtlS Art Ri.Ziric. DttiblVad" " ~ ! Pwtod 3 JUUW1 1S Art R3 Zinc, OiTOfvwJ i Pwtod 3 JUMWI 1S Art R3 Zinc. OtuSiid ! Pwtod 3 lUUW1 1S Art H3 Zinc. DiMorvad T Pwtod3jUUWII!S Art R3 Zlric biuatod i Pwtod 3 -t UW1 1S Art (U ZJne, DiwdvBd j PwtodllUUWllS Art R3 Zinc, binalvad Pwtod 3 UUW11S Art R3 Zinc, Dluorvad Pwtad 3 JUUWll<Art R3 Zlric. Dluolvad 1 Pwtod 3lArt R3 Zinc. Dtssalvad > Partod 3
UUW11UUW12
S Art R3 Zinc. Ouiwlwwi i Pwted 3 IUUW12iArt R3 Zinc Diuolvad ^Period 3 UUW12
S Art R3 Zhe. Dtwiwl i Pwnd 3 JUMWI2S.Art R3 Zinc, DinoNod | Pwtod 3 IUUWI2S Art Rj Zinc, Oiaorvad ' Pwtod 3 [UUW12S Art R3 Zinc, D.uc*wJ ! Parted 3 JUUW12
SArt RJ Zinc. Ol«oJvad i Pwtod 3 -UUWI2S.Art RJ.Zinc. Diuoivwl 1 Pwtod 3 ;UUWl2SArt R3 Ztoc. Oluotmd i Parted 3 ;UUWl2S Art R3 Ztoc, Dluorvad '• Pwted 3 jUMWlBS.Art RJ Zinc. Dluolvwl } Pwtod 3 JUMW16S Art la Zinc. Dfcsahrad ! Parted 3
S Art Rj Zinc, Dltutvod Panod 3S Art R3 Zinc. Dluotvod Parted 3
SArktU.Ztoc.Dluaruad Parted 3
uuwia
UUW16UUWI6
UUW17AS Art R3 Ztoc, Diuotvad Parted 3 JUHW17ASArt R3 Ztoc. Diuotvod i Poitod 3 JUHWI7AS Art R3 Zinc. Oruorwod i Pwtod 3
S Art R3.Ztoc. CUsorvad ! Pwtod 3S Art R3 Ztoc. Otisorvad • Parted 3SArt R3 ZtoVoliiaivad \ Pwted 3SArtR3.Ztoc.Dluo.Vad I Period 3S Art R3.Zlnc. DIuolvwJ 1 Pwtod 3
UUW17A
UUW17AUUW17AUUW17B ~~ "UUW17BUUW17B
S Art R3 Zinc. DluolvwJ ' Pwttd 3 UUWI7QS Art RS.Zlnc, Otowtvad ! Parted 3 !UUW1 ?B
SArfc R3 Ztoc. Dluorvad ! Pwted 3 UMWI7BS.ArhR3Zlnc,DI»a>vad | Pwted 3 UMW1BS Art R3 Zinc. OUsoNad I Pwtod 3 IUWW18
S Art R3 Ztoc. biiMtvad | Pwtod 3 UUWI8
SAAR37tec.ataM*~~ - ~ hpWiTluuwTa-™- " "
Sicil Gukn-Ai Art Rtv Cadmium. Obscrvad i Pwnd 3 JUUVY19
— ™ "
1200620M209620H209420942094209420*2061
2089208920892089
"208820*82068208B2088208520*
208520U20482041
204820482048204204
204820482044205205220522052205220522052
~»S2206220S220S
'*'?
ow" MlGW| 6/7J
rrS-
1**GW; 7/11/1996GWJ W7GW( 10T26/GW; SHI
1UW1995
1996
1;&Zinc. DkMclvttJZbic. DtuolMdZlnc.Olualvad
Zinc. DlnorvadGW i 6/7/1 •W&ZJnc, OUolvadGWGWGWGWGWCWGWGW"GWGW
UOS & USGS bf EPAUOS & USGS tot EPAUOS & USGS tor EPAUOS & USGS tar EPAEPAAJRSEPAAJRSEPAAJRS
L j 470496 JEPAAJRSH 1 705406L • 705464H 469289H" 469305Li 469321L f 469337L 470563H "* 470562HLLLH
470601470620470839
"705498 "489353
H 489369L
LHH
468305469401
,470658470677
J170696
L 470734
H • 705532LLHH
L
705588HI7126B
471287471306
471344H 706018
L 471363HHL
471382471401.___.___
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:UOS4USGStaf EPA[UOS & USGS tor EPAJUOS ft USGS tor EPAiUOS ft USGS tor EPAJEPAAJRSJEPAAJRSS EPAAJRS
'EPAAJRSIURS OpenOng Sarvtca* tor EPA•URS Operating SWVKCI tor EPAlEPAAJRS1 EPAAJRS; EPAAJRS
EPAAJRSIURS Opwatag SwWcai lor EPA
! EPAAJRSi EPAAJRSJEPAAJRSIEPAAJRS
H 1 706106 iURSOparetogSwvtenlorEPA_Lj 706162
H ; 471477HL
L
471496471515471534
L ! 706252L i 471553
iURS Oparaeng Swvfcat for EPAi EPAAJRSIEPAAJRSIEPAAJRSlEPAAJRS'EPAAJRS
Groundwater Data forDissolved cadmium, copper, lead, and zinc data (mg/L) for all data sets, a
Is River Reaches 0 to 3.cadmium, copper, lead, and zinc data (mg/L) for CDPHE data (LNRD-068).
No groutdwalar data cumnfly «w*abl8 tor nacti 4,SundardV<*M and MO. am h unflj of mgA.For rxn-<talact». •*: OIM hafl tM datactan trril b chown In (ha StandardVMua UUCose dasowoon:DcDttTMCfc: Wator Suppty (DWS)O-Otwr (Sprteg, is«p. ale >S-Sudow Monitoring W.I (SUW)U=O«|)Birtypa w
App_E_gw_Tbl_1 o3.xls Page 15 of 15 10/22/2002
Summary Statistics for Groundwater samples, by Period, in Reaches 0 to 3 and California Gulch near Arkansas Riverconfluence.
Based on descriptions of bed sediments from the Arkansas River (Kimball et al., 1995) that contain
metals transported downstream from the mine-waste deposits this is appears to be an overly conservative
assumption as well.
Dissolved Metals Mass-Load Calculation
Calculation of the net metals mass load and resultant dissolved metals concentrations was
performed for defined subreach.es of the Arkansas River using a simple spreadsheet (table attached).
For the purposes of these calculations, we assumed that metals are distributed between solid mine
waste and the dissolved phase in accordance with equilibrium partitioning behavior once those mine
wastes are eroded and entrained by river water. Dissolved-phase metals are transported conservatively,
and the dissolved-metals load increases downstream in proportion to the mass of mine waste eroded by
the river. The result is an estimate of the net dissolved-metals load at a location downstream of mine-
waste deposits that may be contributed from the eroded mine waste.
Mine-waste erosion to river water was estimated from the total length of tailing in contact with
the main channel and an estimated bank erosion rate for mine waste in contact with the main channel.
The weighted average metals concentration of mine waste eroded along a specified subreach of the river
was estimated by summing the average metal concentration for each tailing deposit times the proportion
of total mine waste length represented by each deposit along the subreach. The mass of metals released to
the dissolved phase from the mass of mine waste eroded was computed using estimates of an equilibrium
partition coefficient for each metal at chemical conditions representative of Upper Arkansas River water
at bank-full flow conditions. The net mass of dissolved metals contributed to the river flow and resulting
net change in dissolved concentrations along the defined subreach was then computed and summed to
obtain an estimate of the dissolved metal concentration increase resulting from mine-waste erosion along
Reaches 1, 2 and 3.
Sources of Information/Data
1. Linear feet of mine waste in contact with main channel for each mine-waste deposit:
Maps from URS (1997) were used to delineate areas of mine-waste deposits within theriver floodplain. GIS methods were used to identify and define the length of each distinctmine-waste deposit in contact with the main channel. The channel-length estimatesobtained using GIS mapping methods are included on the attached table and were used incomputations.
Average metals concentrations for each mine-waste deposit:
The average metals concentrations for each mine-waste deposit are the same as thoseused in the mine waste ranking analysis. All metals concentration data, regardless ofdepth, for each deposit was used to calculate an average for that deposit. It is not knownwhether the data available are representative of the actual average conditions.
Mine-waste erosion rate:
The mine-waste erosion rate at bank-full conditions was estimated using a conservativeapproach. A moderately high bank-erosion rate of 5.0 ft/yr, for a small area of activechannel migration, was reported by InterFluve (1999). This value of 5.0 feet per yearwas applied for the full length of the channel, creating a much exaggerated averageerosion rate for the length of the 11-mile reach. This erosion rate was used along with anestimated average thickness for mine-waste deposits of 1 foot to compute the volume ofmine wastes eroded per year per foot of channel length along Reaches 1, 2 and 3(InterFluve's subreaches 2 through 6). This estimate was then used along with anestimated bulk density for mine wastes of 1.5 Kg/L to describe the mass of mine wasteeroded per unit time per linear foot of mine-waste length along the main-channel bank(6.8xlO~6 Kg/second). This value was used with the length-of-mine-waste estimates tocompute the mass of mine waste eroded (per unit time) in each of the reaches evaluatedon the attached table.
Discharge at various points along river at bank-full conditions:
Bank-full discharge was estimated by InterFluve (1999) at various points along the river.They report average bank-flow discharges for their subreaches 2, 3 and 4 of 300, 550 and1057 cfs, respectively.
3305501057515
n/a (792*)n/a = not available*Bank-full discharge for subreach 7 substituted for subreach 6.
Solid/water distribution coefficients
K<i values for the metals of interest under chemical conditions similar to those expectedfor Upper Arkansas River (high-flow conditions) were compiled from the followingsources:
Davis, A., R.L. Olsen, D.R. Walker, 1991. Distribution of metals between water and entrained sedimentin streams impacted by acid mine discharge, Clear Creek, Colorado, USA, AppliedGeochemistry, v. 6, p. 333-348.
Dempsey, B.A. and P.C. Singer, 1980. The effects of calcium on the adsorption of zinc by MnOx(s) andFe(OH)3(am), In Contaminants and Sediments, Vol. 2, ed., R.A. Baker, Ann Arbor, MI: AnnArbor Science, Ann Arbor, MI, p. 333-352.
Duddridge, J.I. and M. Wainright, 1981. Heavy metals in river sediments - Calculation of metaladsorption using Langmuir and Freundlich isotherms, Environmental Pollution, v.B2, p. 387-397.
Gadde, R.R. and H.A. Laitinen, 1974. Studies of heavy metal adsorption by hydrous iron and manganeseoxides, Analytical Chemistry, v. 46, p. 2022-2026.
Gardiner, J., 1974. The chemistry of cadmium in natural waters - II. The adsorption of cadmium on rivermuds and naturally occurring solids, Water Resources, v. 8, p. 157-164.
Levy, D.B., K.A. Barbarick, E.G. Siemer and L.E. Sommers, 1992. Distribution and partitioning of tracemetals in contaminated soils near Leadville, Colorado, J. Environ. Quality, v. 21, p. 185-195.
Oakley, S.M., P.O. Nelson, and K.J. Williamson, 1981. Model of trace-metal partitioning in marinesediments, Environmental Science and Technology, v. 15, p. 474-480.
O'Connor, J.T. and C.E. Renn, 1981. Soluble adsorbed zinc equilibrium in natural waters, J. AmericanWaterworks Association, v. 56, p. 1055-1061.
Ramamoorthy, S. and B.R. Rust, 1978. Heavy metal exchange processes in sediment water systems,Environmental Geology, v. 2, p. 165-172.
Smith, K.S., SJ. Sutley, P.H. Briggs, A.L., Meier, K.Walton-Day, 1998. Trends in water-leachable leadfrom a fluvial tailings deposit along the upper Arkansas River, Colorado. Proceedings Tailingsand Mine Waste Conference '98, Ft. Collins, CO, Balkema Press, p. 763-768.
U.S. EPA, 1999. Understanding Variation in Partition Coefficient, Kd, Values, Prepared by U.S. EPAOffice of Radiation and Indoor Air and Office of Environmental Restoration, August 1999, EPA402-R-99-004B.
The resultant compilation is presented on the attached table titled "Kd Calculations."
Two of these sources, Levy et al. (1992) and Smith et al. (1998), provide site-specific partitioning data for
mine wastes from the Upper Arkansas River floodplain and one, Davis et al. (1991), provides empirical
partitioning data for suspended stream sediment in Clear Creek, central Colorado. The remaining
references describe metals partitioning to sediments and soils from a range of settings. The attached table
presents the Kd values found. The Kd values used for the mass-balance calculations were selected to
represent the conservative (low) end of the range determined from site-specific studies. These are
generally more conservative than Kd values from other sources/settings.
Results and Discussion of Uncertainties
Results are shown on the attached tables as the increase in metals concentration (micrograms/L)
resulting from metals partitioning to water from eroded mine wastes occurring along the reach from
California Gulch downstream to the Highway 24 bridge. The estimated increase in concentrations, or the
concentrations attributable to metals release from eroded mine wastes at bank-full conditions, are
,J ^'Estimated Increase in" Concentration (fig/l^due to Mine-
Waste Erosion from River Banks;ycd ** | «nci
0.002
0.004
0.002
0.007
Pb
0.006
0.014
Zn
0.092
0.206
*AR-5 is a Resurrection sampling location at the top of Reach 3, approximately 0.25 milesdownstream of Highway 24 Bridge above confluence with Empire Gulch.** AR-70 is a USGS sampling location within Reach 3.
Based on these comparisons, it appears that the dissolved metals contributed to river water as a
result of mine-waste erosion from the channel banks is not a significant source of metals loading in
comparison to other sources.
These results are consistent with those of Walton-Day et al. (1999) who found that the dissolved
metals load was not significantly changed at Arkansas River stations upstream and downstream of mine-
waste deposits in Reach 3. The most significant increases in metals loads were observed during local
snowmelt conditions, rather than during later high-flow conditions, suggesting that surface runoff over
mine waste is more significant contributor to metals concentrations in river water than mine-waste
erosion. The Walton-Day et al. (1999) study concluded that mine-waste deposits do not contribute
measurable trace-element loads to the river.
References cited
InterFluve, Inc. and FLO Engineering, 1999. Fluvial Geomorphic Assessment of Upper Arkansas River,Final Report, prepared for URS Operating Services, Inc., Denver, Colorado, May 7, 1999.
Kimball, B.A., E.Callender, E.V. Axtmann, 1995. Effects of colloids on metal transport in a riverreceiving acid mine drainage, upper Arkansas River, Colorado, USA, Applied Geochemistry, v.10, p. 285-306.
Levy, D.B., K..A. Barbarick, E.G. Siemer and L.E. Sommers, 1992. Distribution and partitioning of tracemetals in contaminated soils near Leadville, Colorado, J. Environ. Quality, v. 21, p. 185-195.
Smith, K.S., S.J. Sutley, P.M. Briggs, A.L., Meier, K.Walton-Day, 1998. Trends in water-leachable leadfrom a fluvial tailings deposit along the upper Arkansas River, Colorado. Proceedings Tailingsand Mine Waste Conference '98, Ft. Collins, CO, Balkema Press, p. 763-768.
Walton-Day, K., F.J. Rossi, L.J. Gemer, J.B. Evans, T.J. Yager, J.F. Ranville, and K.S. Smith, 1999.Effects of fluvial tailings deposits on soils and surface- and ground-water quality, andimplications for remediation - Upper Arkansas River, Colorado, 1992-1996, U.S.GeologicalSurvey Water Resources Investigation Report 99-4273.
Gardiner, 1974Ramamoorthy and Rust, 1978Ramamoorthy and Rust, 1978Ramamoorthy and Rust, 1978Duddridge and Wainright, 1981Duddridge and Wainright, 1981USGS, 1999USGS, 1999Levy et a!., 1992
Ramamoorthy and Rust, 1978Ramamoorthy and Rust, 1978Oakley etal., 1981Oakley etal., 1981Davis etal., 1991McKenzie, 1980Levy etal., 1992
Ramamoorthy and Rust, 1978Duddridge and Wainwright, 198USGS, 1999USGS, 1999McKenzie, 1980McKenzie, 1980Gadde and Laltinen, 1974Smith etal., 1998
O'Connor and Wainwright, 1981Duddridge and Wainwright, 198Duddridge and Wainwright, 198Davis etal., 1991Dempsey and Singer, 1980Levy etal., 1992
approximately .5 miles south of County Road 55 at Kobe. At this point, natural topography forces the
highway and river close together for a few hundred feet, after which the flood plain re-opens.
Railroad
The track extends due southeast of the Highway 24 Bridge, and re-enters the 500-year flood plain
approximately .5 miles north of County Road 55 at Kobe. Until the narrow constriction of the floodplain
due to natural topography, the track runs along the western edge of the floodplain about .5 miles south of
County Rd. 55 and does not appear to constrict the path of the river.
Timber Harvest
It is likely that timber harvesting in this reach, in contrast with Reaches 1 and 2, was less intense
and damaging to the Arkansas River resources. Because local soil conditions begin to change in terms of
soil moisture, forests local to Reach 3 are comparatively sparse and sagebrush more dominant compared
with Reach 1 and 2 upstream. While it is possible that significant timber harvest did occur in the reach, it
seems highly unlikely that ecological impacts historically were as significant as further upstream. It is
unlikely, therefore, that impacts to this reach by timber harvest were significant sources of ecological
degradation.
Reach 4: Constriction Downstream of Cty. Rd. 55 to Two-Bit Creek
Flow Regulation
There is no additional source of flow augmentation between County Road 55 and Two-Bit Creek.
Therefore, impacts are likely less in this reach compared with Reach 3 since sediments contributed to the
Arkansas River at the confluence with Lake Fork would continue to settle out, and water quality would
continue to improve downstream from the initial source of sedimentation. It seems likely that, except onuunuuuc iu luipiuvc uuwiiaucmu uuiu uie miuai auui^c ui bcumicuicuiuii. n seems luiciy u
rare occasion during extremely high flow augmentation, biotic communities will be able to
following perturbations associated with flow regulation.
recover
Livestock Grazing
It is likely that this reach experienced historical livestock grazing impacts similar to Reach 1-3.
In recent history, this segment has received moderate to high density grazing. Much of this segment is
currently under the riparian fencing and rotational grazing program described above. Unrestricted
Belsky, A.J., A. Matzke, and S. Uselman. 1999. Survey of livestock influences on stream and riparianecosystems in the western United States. Journal of Soil and Water Conservation 54: 419-431.
Blinn, D. W., J. P. Shannon, L. W. Stevens, and J. P. Carder. 1995. Consequences of fluctuatingdischarge for lotic communities. Journal of the North American Benthological Society 14(2):233-248.
Brejda, J.J. 1997. Soil changes following 18 years of protection from grazing in Arizona chaparral. TheSouthwestern Naturalist 42:478-487.
Cereghino, R. and P. Lavandier. 1998. Influence of hypolimnetic hydropeaking on the distribution andpopulation dynamics of Ephemeroptera in a mountain stream. Freshwater Biology 40:385-399.
Colorado Department of Transportation (CDOT). 2000. Personal Communication. Denver, CO.
Converse, Y. K., C. P. Hawkins, and R. A. Valdez. 1998. Habitat relationships of subadult humpbackchub in the Colorado River through Grand Canyon: spatial variability and implications of flowregulation. Regulated Rivers: Research & Management 14:267-284.
Edwards, E. D. and A. D. Huryn. 1996. Effect of riparian land use and contributions of terrestrialinvertebrates to streams. Hydrobiologia 337:151-159.
Fitch, L and B.W.Adams. 1998. Can cows and fish co-exist? Canadian Journal of Plant Science 78: 191-198.
Gislason, J. C. 1985. Aquatic insect abundance in a regulated stream under fluctuating and stable dielflow patterns. North American Journal of Fisheries Management 5:39-46.
Kauffman, J.B. and Krueger, W.C. 1984. Livestock impacts on riparian ecosystems and streamsidemanagement implications: a review. Journal of Range Management 37: 430-438.
Klima, K., and B. Scherer. 2000. DRAFT: Baseline Ecosystem Setting Characterization of the LeadvilleArea. Natural Resource Management Department, Colorado Mountain College. Leadville, CO.
Malmquist, B. and G. Englund. 1996. Effects of hydropower-induced flow perturbations on mayfly(Ephemeroptera) richness and abundance in north Swedish river rapids. Hydrobiologia 341:145-158.
Myers, TJ, and S. Swanson. 1996. Long-term aquatic habitat restoration: Mahogany Creek, Nevada, as acase study. Water Resources Bulletin 32:241-252.
Nelson, S. M., and R. A. Roline. 1995. Aquatic Macroinvertebrate Communities and Probable Impacts ofVarious Discharges, Upper Arkansas River. U.S. Department of the Interior, Bureau ofReclamation. Technical Memorandum No. 8220-95-4.
Ohmart, R. D. 1996. Historical and present impacts of livestock grazing on fish and wildlife resources inwestern riparian habitats. In P.R.Krausman (ed.) Rangeland Wildlife. The Society for RangeManagement, Denver, CO.
Penczak, T. 1995. Effects of removal and regeneration of bankside vegetation on fish populationdynamics in the Warta River, Poland. Hydrobiologia 303:207-210.
Platts, W.S. 1991. Livestock grazing. In W.R.Meehan (ed.) Influences of forest and rangelandmanagement on salmonid fishes and their habitats. American Fisheries Society, Bethesda, MD.Special Publication 19.
Rabeni, C. G., and M. A. Smale. 1995. Effects of siltation on stream fishes and the potential mitigatingrole of buffering riparian zone. Hydrobiologia 303:211-219.
Rothrock, J.A., P.K. Barten, and G.L. Ingman. 1998. Land use and aquatic biointegrity in the BlackfootRiver watershed, Montana. Journal of the American Water Resources Association 34:565-581.
Scheidegger, K. J., and M. B. Bain. 1995. Larval distribution and microhabitat use in free-flowing andregulated rivers. Copeia 1: 125-135.
URS Operating Services, Inc. 1998. Fluvial Geomorphologic Assessment of Upper Arkansas River. By:Inter-Fluve, Inc., Bozeman, MT, and FLO Engineering, Inc., Breckenridge, CO.
Voynick, S.M. 1996. Climax: the History of Colorado's Climax Molybdenum Mine. Mountain PressPublishing Company, Missoula, MT.
Yates, C. J., D. A. Norton, and R. J. Hobbs. 2000. Grazing effects on plant cover, soil and microclimate infragmented woodlands in southwestern Australia: implications for restoration. Austral Ecology25:36-47.
Zhang, Y., B. Malmquist, and G. Englund. 1998. Ecological processes affecting community structure ofblackfly larvae in regulated and unregulated rivers: a regional study. Journal of Applied Ecology35:673-686.
Upper Arkansas River Basin Mine Waste Deposit Ranking
All Deposits - Sorted by Total Class Score.
Notes:Mass of chemical in deposit based on assumed bulk density of 100 pounds per cubic fool for deposit matenal.Mass of chemical in deposit calculated from average metal concentration and average deposit volume.The EPA START reports listed maximum deposit concentrations, the mass calculations in this table are based on average concentrationsThe EPA START deposit areas and volumes have been refined using CIS derived deposit areas
Good (> 50% Cover)IsolatedSmall (< 10.000 cu h)Low (< 1 .000 ppm Zn)
CLASS 2
Fair (10-50% Cover)Flood plainMedium (10.000-50.000 cu It)Medium (1.000-5.000 ppm Zn)
CLASS 3
Poor(< 10% Cover)In contact with Arkansas RiverLarge (> 50.000 cu ft)High (> 5,000 ppm Zn)
Total Class Score Is computed from the sum of Vegetation Class Score + Erosion Potential Class Score + Deposit Volume Class Score + Zinc Concentration Class Score
TOTAL CLASS SCORE
10,11,127,8.94,5.6
PRIORITY
HIGHMODERATELOW
Biosolids Treatment Status:Treatment 1998 indicates that EPA applied a treatment to the deposit in 1998
DescriptionBiosolids * lime (100dl/a each)
Treatment 1999 Indicates that EPA applied a treatment to Hie deposit in 1999CodeBSP-LICOMP-LICOW-BS-LICOMP-LI
Surface Water | | All Flows | | Copper, Total | fmg/L |
Min Max Avg Std Dev
223 0.0005 ][ 0.43 0.007344 0.028992
Sources Station Count Source Count
LNRD-001, Oil, 031
Records off chart
Date6/11/1990
StandardValue0.43
ResultID10608
8/26/2002
Arkansas River BasinArk R10, Periods 1,2,3
» Detects o NonDetects PeriodBreak
noR -,
HOAR -
004 •
c; n ms --g, U.UJO
E*""* HIT* .•o%M(0« nn? -
TJi? 001S-_l
001 -
nnn^ -
n .050 -B65 -B70 S75 -880
Da
»
•« «• «»i «U *• • » . «i• • « • & A V«» itnMMM m mA
•B85 fl90
te•B95 2000
Sample Media Flow Period Parameter Units
Surface Water ] | All Flows | | Lead, Dissolved | | mg/L |
Min Max Avg Std Dev
232 0.00025 0.022 0.001655 0.002035
Sources Station Count Source Count
LNRD-001, Oil, 031
Records off chart
8/26/2002
Arkansas River BasinArk R10, Periods 1,2,3
• Detects o NonDetects PeriodBreak
n R -,
ftA^ .
ft A. .
ft *V> -_l|> 03-
"*5 ftO* .
£0 9 -•o u-*
(00)
— ' n 1*1 -
0 1 -
006 -
n -«30 B65 -870 B75 "880
Da
«
* « .9**** f -n Ar«f
•B85 -B90
te
— -^ • *^^fc^»*^i^^
B95 2000
Sample Media Flow Period Parameter Units
Surface Water) | All Flows | | Lead, Total | | mg/L |
Win Max Avg Std Dev
216 0.0005 0.08 0.004015 0.006399
Sources Station Count Source Count
LNRD-001, Oil, 031
Records off chart
8/26/2002
«>Arkansas River BasinArk R10, Periods 1,2,3
• Detects o NonDetects PeriodBreak
4.5
0)
d)
I"wM
O
N
0.5
0-1—•960 S65 -B70 •B75 B80 -B85 -990 -B95 2000
Date
Sample Media Flow Period Parameter Units
Surface Water | | All Flows | [ Zinc, Dissolved | | mg/L |
Min Max Avg Std Dev
201 0.0005 0.12 0.010528 0.014209
Sources Station Count Source Count
LNRD-001, Oil, 031
Records off chart
8/26/2002
5
4.5
4
-. 3-5
_J
1 3
5 2.5
ucN 1.5
1
0.5
•B60
Arkansas River BasinArk R10, Periods 1,2,3
• Detects o NonDetects PeriodBreak
B65 •870 B75 •B80 985 •B90 B95 2000
Date
Sample Media Flow Period Parameter Units
Surface Water] | All Flows | | Zinc, Total | | mg/L |
Min Max Avg Std Dev
241 0.001 0.515 0.017133 0.035346
Sources Station Count Source Count
LNRD-001, Oil, 031
Records off chart
8/26/2002
APPENDIX J
Terrestrial White Paper
UPPER ARKANSAS RIVER BASINSITE CHARACTERIZATION REPORT - SUPPORTING ANALYSIS:
CHARACTERIZATION OF THE POTENTIAL FOR INJURY TOMAMMALIAN WILDLIFE
TABLE OF CONTENTS
1.0 INTRODUCTION 1
2.0 PATHWAYS 2
2.1 Conceptual Model 2
3.0 SUMMARY OF AVAILABLE DATA 3
4.0 CHARACTERIZATION OF POTENTIAL INJURY 5
4.1 Small Mammals 6
4.1.1 Histopathology 6
4.1.2 Metal Concentrations in Tissues 8
4.1.3 Conclusions - Small Mammals 10
4.2 Large Mammals 11
4.2.1 Characterization of Potential Injury -Concentration-Based Benchmarks
for Forage 13
4.2.2 Characterization of Potential Injury - Estimated Metal Ingestion Rates. 13
4.2.3 Conclusions - Large Mammals 15
5.0 REFERENCES 17
1.0 INTRODUCTION
This paper supplements analysis of potential injury to mammalian wildlife presented in the Site
Characterization Report (SCR) prepared for the 11-Mile Reach of the Upper Arkansas River Basin near
Leadville, Colorado. The Consulting Team (CT) was tasked with reviewing the existing data for the 11-
Mile Reach and describing injuries to natural resources based upon that information. This supplemental
analysis is consistent with the Memorandum of Understanding (MOU) Work Plan for the SCR and
considers the U.S. Department of the Interior (DOI) Natural Resource Damage Assessment (NRDA)
regulations [43 CFR 11].
According to NRDA regulations [43 CFR 11.62(f)(3)], determining injury to biological resources,
including mammalian wildlife, must be based on establishing a statistically significant difference in
response levels between the population in the study area and that of a control area. The regulations also
define specific categories of injury for biological resources and state that injury determination must be
based on measurement methodologies that are capable of demonstrating the specific biological response
under consideration. For the 11-Mile Reach, there are limited data that allow for direct determination of
injury to mammalian wildlife. Because there are limitations in the amount and extent of injury-specific
data, the existing information is combined with data from the nearby California Gulch Superfund Site and
information from the ecotoxicological literature to characterize the potential for injury to mammals using
a weight-of-evidence approach consistent with ecological risk assessment methodologies (e.g., USEPA
1997b). In general, this includes evaluation and comparison of known and estimated exposure of wildlife
to ecotoxicological benchmarks corresponding to known levels of toxicity. This approach is consistent
with the goals of the MOU, and the approach that the CT has taken in the SCR. This paper describes
available information that is applicable to characterizing the potential for adverse effects in mammals, and
summarizes the potential for injury in response to a series of questions from the MOU Parties (see
Attachment A).
2.0 PATHWAYS
2.1 Conceptual Model
A conceptual model describes the sources of contamination and the pathways by which resources
of concern could be exposed to contaminants. A complete pathway, which results in an exposure, does
not necessarily constitute an injury to natural resources as defined in DOI's NRDA regulations. The
exposure must elicit an effect or response which can be measured and which is statistically different
between the study area and a control area.
Conceptual models for exposure of mammals in the 11-Mile Reach have been described in two
ecological risk assessments (ERAs) (Woodward Clyde 1993; USEPA 1997a). The primary sources of
contamination in the 11 -Mile Reach are mining and mineral processing wastes from the Leadville mining
district. ERAs have shown that the primary chemicals of concern in the 11-Mile Reach are the metals
cadmium, lead, and zinc.
Historically, California Gulch has been a major pathway for transport of solid and soluble forms
of the metals to downgradient areas; including the Arkansas River. Periodic flooding has resulted in
deposition of mine wastes along the river. In addition, floodplain soils may have been affected by
overland runoff and irrigation of pasturelands with contaminated water. Mammals may be exposed to
metals through direct contact with mine wastes or secondarily through contaminated surface water, soil,
or sediment; or through ingestion of forage or prey that may have accumulated metals from biotic and
abiotic sources. Injuries to surface water, soil, sediment and vegetation that comprise habitat for
mammalian wildlife are described and evaluated in the SCR.
The frequency and duration of contact with contaminated media are important in characterizing
the potential for injury to mammalian wildlife. Habitat quality and availability in contaminated areas are
major factors affecting the frequency and duration of contact. This is especially true for large, mobile
species such as elk, deer, and coyotes that range over large areas and may spend only a portion of their
time in the area of concern. Smaller, less mobile species such as rodents (e.g., mice and voles) and
lagomorphs (e.g., rabbits) range over smaller areas and may contact contaminated media more frequently.
3.0 SUMMARY OF AVAILABLE DATA
Information available to characterize the potential for injury to mammals includes
histopathological data for small mammals in the 11-Mile Reach, data on target organ metal
concentrations, and metal concentrations in exposure media (e.g. soil, water, vegetation). In addition,
similar data are available from nearby areas in the California Gulch Superfund Site (but outside the 11-
Mile Reach), and information from the ecotoxicological literature can be used to characterize the potential
for injury based on exposure estimates.
Site-specific information from the 11-Mile Reach and the upstream reference area (Reach 0)
includes:
• Histopathological analyses of vole and short-tailed weasel tissue samples from Reaches 0
and 2 (WCC 1993);
• Metal concentrations in kidney and liver tissue from small mammals (WCC 1993); and
• Metal concentrations in vegetation, soil, and water in Reaches 1, 2, and 3 (Keammerer
1987; Levy et al. 1992; WCC 1993).
Data from outside the 11-Mile Reach, but within the nearby California Gulch Superfund Site
include:
• Histopathological analyses of mouse, vole, and chipmunk tissue samples from several
locations with varying levels of mine waste contamination (WCC 1993; Stoller 1996);
• Metal concentrations in kidney and liver tissue from small mammals (WCC 1993; Stoller
1996); and
• Metal concentrations in vegetation, soil, and water (WCC 1993; Stoller 1996).
Data available from the scientific literature include ecotoxicological benchmarks for:
• Metal concentrations in mammalian tissues from laboratory and field studies;
• Metal concentrations in mammalian tissues associated with specific effects;
• Metal intake rates [i.e., Toxicity Reference Values (TRVs)]; and
• Metal concentrations in forage and prey items.
The above information is used to help evaluate whether metal concentrations in mammal tissues or abiotic
media in the 11-Mile Reach are consistent with nearby conditions for which more data on injury are
available. In some cases, the data from the California Gulch Superfund Site reflect higher metal
concentrations and bioavailability than in the 11-Mile Reach, and represent a reasonable worst-case
scenario. The characterization is further supported by literature-based ecotoxicological benchmarks that
correspond to known levels of toxicity and/or injury.
Data on metal content and histopathology in larger mammals (e.g. elk, deer, fox) are lacking for
the 11-Mile Reach. However, data on injury to small mammals are available to help characterize the
potential for injury to larger species that are more mobile and spend less of their life cycles in the 11-Mile
Reach.
4.0 CHARACTERIZATION OF POTENTIAL INJURY
The CT's characterization of the potential for injury to mammals follows a weight-of-evidence
approach consistent with DOI's NRDA regulations and EPA's ecological risk assessment methodologies.
Histopathological data from the 11-Mile Reach and from Reach 0 are used to directly assess injury to
small mammals. The histopathologic data is important because the presence of lesions in biological
tissues associated with contaminants exposure is specifically identified as an injury in the NRDA
regulations [43 CFR 11.62(f)(4)(vi)(D)]. Because there is a limited amount of injury-specific data, other
types of data are used as supporting weight-of-evidence to evaluate the uncertainty associated with the
small histopathological data set.
Metal concentrations in kidney and liver samples are compared to ecotoxicological benchmarks
that are associated with known levels of histopathological or physiological dysfunction. Internal organ
and soft tissue malformation and histological lesions are the most common metals effects reported in the
literature and associated with benchmark values. Several recently published secondary sources report
benchmark values for wild mammals that are based on comprehensive reviews of field and laboratory
studies (Hoffman et al. 1995; Beyer et al. 1996; Eisler 2000; Shore and Rattner 2001). A large number of
laboratory and field studies were reviewed and it was determined that the majority of the literature is
consistent with the benchmarks and associated effects presented in these secondary sources. Of the
studies reviewed, most of the mammalian studies, which evaluated metals exposure and accumulation,
were conducted on mining impacted sites and are therefore appropriate for consideration in the Upper
Arkansas River Basin (UARB).
To further evaluate the level of uncertainty associated with limited histopathological data, metal
concentrations in vegetation, small mammals, soil, and water are used to estimate the rate at which
wildlife may ingest metals while feeding and drinking. These estimates are compared to TRVs, which are
intake rates corresponding to known toxicological effects or lack thereof (EPA 1993, 1997b; Eisler 2000).
In addition to data collected from the 11-Mile Reach, information from California Gulch and the
scientific literature are used to help evaluate the potential for injury to mammals in the 11-Mile Reach.
Because of the proximity to mine-waste tailings and smelter residues, data from California Gulch reflect
higher metal concentrations and greater bioavailability than conditions in the 11-Mile Reach and,
therefore, represent a worse case scenario that can be used as a point of comparison. The characterization
was further developed by comparing non-injury specific data from both the 11-Mile Reach and California
Gulch to literature-based ecotoxicological benchmarks that correspond to known levels of toxicity and/or
injury. This includes benchmarks comparable to metal concentrations in tissues as described above, as
well as dose-based (i.e., intake) benchmarks that are commonly used in ERAs.
4.1 Small Mammals
4.1.1 Histopathology
WCC (1993) sampled small mammals from locations in Reach 2, the California Gulch Superfund
Site outside the 11-Mile Reach, and nearby reference areas along Tennessee Creek and the upper
Arkansas River (Reach 0). Approximately 28 tissues from each of 36 animals were examined
histologically using light microscopy. From Reach 2, WCC collected four southern red-backed voles
(Clethrionomys gapperi), two long-tailed voles (Microtus longicaudatus^and two short-tailed weasels
(Mustela ermined) for histological analysis. Samples from Reach 0 included four red-backed voles and
five long-tailed voles.
The sampling locations in Reach 2 were irrigated pastures downstream of the confluence of
California Gulch with the Arkansas River and reflect contamination from deposition of mine wastes,
floodwater, and/or irrigation water. Data on soils and vegetation indicate that the animals were
potentially exposed to elevated metal concentrations in soil and vegetation. The animals were collected
from sites where mean metal concentrations in floodplain soils were 36 ppm cadmium, 968 ppm copper,
4,665 ppm lead, and 6,055 ppm zinc, representing some of the highest concentrations along the 11-Mile
Reach. To a lesser extent, concentrations of the same metals were elevated in vegetation.
As noted, data from WCC (1993) are directly applicable to characterizing injury in the 11-Mile
Reach. Besides the direct applicability for evaluating injury, these data were collected from an area of
confirmed mine waste with contamination-level metal concentrations and from potentially mixed
sources/transport mechanisms. In addition, vegetation from the area contains elevated metal
concentrations creating a true metals exposure scenario. The data set also includes samples from
reference areas of similar habitat.
Results of WCC's histologic analysis indicated no abnormal histopathology or injury that could
be attributed to metals exposure. Although the kidney is the primary site of toxic action of cadmium,
6
WCC did not submit kidneys for histopathology from any of the animals collected. Based on the
experience of the pathologist who conducted these analyses (Dr. Terry Spraker, Colorado State
University), lesions associated with cadmium exposure would not be expected at the tissue concentrations
found in these animals (T. Spraker, Pers. Comm.). This conclusion (that tissue lesions would not be
expected to occur at the cadmium concentrations present in vole kidney tissues from Reaches 0 and 2) is
also supported by the ecotoxicological literature (Cooke and Johnson 1996; Eisler 2000; Ma and Talmage
2001).
WCC (1993) also collected liver and kidney samples from areas on the Superfund Site (St.
Josephs Cemetery and Hamm's Mill) in which soils metal concentrations were higher than those found in
the 11-Mile Reach. Cadmium, lead, and zinc concentrations in kidney and liver samples from these
Superfund Site locations were equal to or higher than concentrations from Reach 2. Despite the higher
concentrations in soils and equivalent or higher concentrations in tissues, kidney and liver samples from
the Superfund Site locations did not exhibit abnormal histopathology that could be attributed to metal
toxicity. This supports the view that there is low risk of this type of injury for small mammals in the 11-
Mile Reach, Based on this information, the absence of kidney histologic analysis is not critical to
evaluating small mammal injury for the WCC data set.
Histopathological analyses of small mammal liver and kidney tissue are also available from
Upper California Gulch (Stoller 1996). Upper California Gulch is part of the Superfund Site and contains
soils, mill tailing and waste rock with varying metal concentrations. Sample locations included uplands
as well as locations containing fluvial tailings deposits and waste rock in riparian areas. A total of
twenty-five animals including primarily least chipmunks (Eutamias minumus) and deer mice (Peromyscus
maniculatus), but also a southern red-backed vole and a long-tailed vole were collected from locations
representing a wide range of metal contamination. Animals were collected directly from waste rock and
tailing piles; from locations near, but not on waste piles; and from sites remote from waste piles in the
study area and reference area (Iowa Gulch). In samples from all locations, results indicated "minimal" to
"slight" occurrence of lesions. Neither the frequency nor intensity of lesions was correlated with
proximity to mine waste deposits. These results indicate that these animals showed no signs of
histopathological injury due to metals exposure.
Limitations affecting use of the WCCs (1993) histopathological data include low sample number
(6 animals) and lack of data from other locations in the 11-Mile Reach. In addition, small mammal data
from Reach 2 are for herbivorous vole species only. The Stoller (1996) data are not from the 11-Mile
Reach, but samples were collected from a gradient of contamination including animals inhabiting waste
rock piles with high metal concentrations (cadmium over 100 ppm, lead over 40,000 ppm, and zinc over
15,000 ppm); as well as areas of nearby soils with lower metal concentrations. The histopathology results
can be used in conjunction with data on metal concentrations in liver, kidney, soils, and vegetation in the
weight of evidence approach to characterize the potential for injury. Limitations on use of the Stoller
(1996) data include the lack of samples from the 11-Mile Reach and the lack of data from species other
than granivorous/herbivorous species.
Insectivorous species such as shrews, may accumulate more cadmium than granivores (seed
eaters) and herbivores (vegetation eaters) because terrestrial insects (their main dietary component)
generally accumulate higher cadmium concentrations than vegetation (Cooke and Johnson 1996). Several
shrew species potentially occur in the Upper Arkansas River Valley. WCC (1993) captured 3 montane
shrews (Sorex monticolus) during their small mammal trapping effort to determine relative abundance,
but they did not capture any shrews when they sampled for tissue collection.
4.1.2 Metal Concentrations in Tissues
It is generally accepted that diagnosis of metals poisoning as cause of death is established
through a synthesis of necropsy observations, pathological findings, and tissue concentrations. Death
(from metal poisoning) cannot be diagnosed on the basis of tissue concentrations only, but metal
poisoning can be diagnosed from concentrations if sufficient data exist from the same or related species
showing a relation between illness and concentrations (Franson 1996). Metal concentrations in biological
tissues are not a direct measure of injury endpoints cited in DOI's NRDA regulations. However,
toxicological studies of metal exposure have resulted in estimates of tissue metal concentrations that are
correlated with histological effects and/or adverse physiological and biochemical effects. These types of
effects are specific injury categories cited in the NRDA regulations. Thus, benchmark concentrations can
be used in conjunction with tissue concentrations in samples from the site and reference areas to support
the direct measures of injury and further characterize the potential for injury due to metals exposure.
Metals are not degraded by metabolism; therefore, measure of metal concentrations in target organs is a
relatively direct measure of exposure. As noted above, kidney and liver are important sites of metal
toxicity in vertebrates. Therefore, data on metal residues in kidney and liver can be used to characterize
the risk of adverse effects and the potential for injury.
Benchmark levels cited in the following discussion were taken from 1996 summaries of scientific
literature on cadmium and lead toxicity in small mammals (Cooke and Johnson 1996, Ma 1996). For
cadmium, Cooke and Johnson (1996) recommend 100 mg/Kg (wet wt) (350 mg/Kg dry wt) as critical
concentration in kidneys of small mammals. No analogous recommendations for cadmium in liver tissue
were provided since the kidney is the primary target organ in cadmium toxicity. For lead, Ma (1996) cites
concentrations of 6 to 10 mg/Kg (dry wt) in kidney and 2.5 to 5 mg/Kg (dry wt) in liver as no-observed-
adverse-effects levels (NOAELs) for effects ranging from changes in the somatic organ index to
reproductive effects.
Data on metal residues in small mammal kidney and liver samples from Reach 0 and Reach 2 are
available from WCC (1993). For Reach 2, there are individual and composite liver and kidney samples
from voles and short-tailed weasels (Table 1). For Reach 0, there are kidney and liver composite samples
from voles only (Table 2). Ideally, composite samples represent an average value of those individuals
making up the composite sample. However, the variability around that average value is unknown as is
the case with the composite samples submitted by WCC (1993). As with the histopathology studies,
chemical residue data are also available from other sampling locations in California Gulch outside the 11-
Mile Reach (WCC 1993; Stoller 1996). Data are available for red-backed voles, long-tailed voles, deer
mice, and least chipmunks from locations representing a wide range of metal concentrations in soils.
Kidney cadmium concentrations in small mammals did not exceed NOAEL, lowest observed,
adverse effect level (LOAEL), or critical concentrations associated with injury in small mammals (Figure
1). Maximum cadmium concentrations in kidneys from Reach 0 or Reach 2 did not approach the 350
mg/Kg (dry wt) critical concentration identified by Cooke and Johnson (1996). The maximum cadmium
concentration identified in Reach 2 was 39 mg/Kg dry wt. (11.1 mg/Kg wet wt), while the maximum
concentrations from the entire WCC study was 69 mg/Kg dry wt. (19.7 mg/Kg wet wt) (WCC 1993,
Table 7-15). The maximum cadmium concentration in surface soils co-located with small mammal
samples was approximately 55 mg/Kg. By contrast, the maximum cadmium concentration in chipmunk
kidneys from Upper California Gulch was 119 mg/Kg dry wt. (34 mg/Kg wet wt.) and was associated
with concentrations in surface soil of less than 15 mg/Kg (Stoller 1996, Figure 3-8).
These results indicate that maximum cadmium concentrations in small mammals from Reach 2,
and from the overall Superfund site do not exceed the recommended threshold concentrations for
physiological and histopathological effects (Cooke and Johnson 1996). In addition, the results suggest
that overall cadmium bioavailability from soils and plant materials may be less along the 11-Mile Reach
than in some areas of the Superfund Site.
Lead concentrations in liver and kidney also did not exceed concentrations associated with
ecologically important effects (Figure 2). The maximum concentration in kidney and liver was
approximately equal to NOAEL-based concentrations for sublethal effects. Lead was detected in only
one of three liver samples collected from Reach 0 and Reach 2 (Detection Limit <0.5 mg/Kg)(WCC
1993).
Limitations of chemical residue data from the WCC (1993) study are similar to those cited for
histopathology. The sample size for 11-Mile Reach is small, and samples are not available from segments
downstream of Reach 2. However, the samples represent maximal, or near maximal exposures for the 11-
Mile Reach.
Only herbivorous voles were included in the WCC samples, and only granivorous/herbivorous
chipmunks were collected from Upper California Gulch. Small mammals with more insectivorous diets,
such as shrews, might be expected to accumulate greater amounts of cadmium (Cooke and Johnson 1996;
Ma and Talmage 2001). Based on data from the literature, cadmium accumulation in shrew kidneys can
be more than 25 times that of herbivorous rodents (Cooke and Johnson 1996). Tissues from the captured
shrews in the 11-Mile Reach were not analyzed, but concentrations 25 times that of vole kidneys would
exceed Cooke and Johnson's critical levels for adverse effects on renal function and structure, and may be
consistent with a positive injury determination. However, the literature also indicates that in comparison
to rodents, shrews may be more resistant to cadmium exposure through a greater metallothionein-related
detoxication capacity of the target organs (i.e., liver and kidney) (Shore and Douben 1994; Cooke and
Johnson 1996; Eisler 2000; Ma and Talmage 2001). Therefore, literature-based benchmarks used for
rodents may not be appropriate for insectivores such as shrews and it is unclear whether the
concentrations present at the site cause injury to shrews.
4.1.3 Conclusions - Small Mammals
Data are available for directly evaluating injury to small mammals in the 11-Mile Reach,
although sample sizes are small and geographical coverage is limited. Six samples of voles are available
from Reach 0 and Reach 2. Overall, histopathological analyses of these samples show no injury to small
10
mammals in either Reach 0 or Reach 2. While the kidney is the primary organ associated with cadmium
toxicity in mammals, kidneys were not analyzed for histopathology in samples collected from Reach 0 or
Reach 2. The small sample size, limited geographical coverage, and lack of kidney histological analysis
creates some uncertainty in the data; however, this uncertainty is reduced by the following:
(1) Metal concentrations in kidney and liver samples from Reach 2 samples did not
exceed benchmarks associated with physiological and histopathological effects;
(2) Samples from the Superfund Site (areas of potentially higher exposure) also did not
contain metal concentrations in excess of benchmarks and;
(3) Samples from the Superfund site (areas of potentially higher exposure) did not
exhibit liver or kidney histopathology, which could be related to effects from metals
exposure.
The results from each of these three data sets are consistent with each other and support the results
reported by WCC (1993). While none of these data sets alone are sufficient to evaluate injury, the
weight-of-evidence provided by one injury-specific data set and three supporting data sets lends more
confidence to the overall injury assessment.
Species with more insectivorous diets, such as shrews, may have higher exposures due to higher
dietary cadmium concentrations, but data are not available for direct evaluation of these species. Existing
literature indicates that benchmarks appropriate for rodents may not be appropriate for insectivores, as
insectivores appear to be more tolerant of increased metals exposure.
The apparent lack of effects on individual small mammals receiving maximal or near-maximal
metals exposure indicates a corresponding lack of injury to local populations in the 11-Mile Reach.
Additional samples would reduce the uncertainty in evaluating potential injury, but may not significantly
aid in restoration planning for the 11-Mile Reach (see SCR).
4.2 Large Mammals
Tissue metal data and histopathology analyses for larger mammals (e.g., elk, deer, fox) are not
available for the 11-Mile Reach. However, the potential for injury to large mammals was characterized
by evaluating exposure through the comparison of metal concentrations in forage and estimates of metal
intake rates to benchmarks values. In addition, data on injury to small mammal populations was used to
11
help evaluate the potential for injury to larger species that are more mobile and spend less of their life-
cycles in the 11-Mile Reach. Because small mammals have a relatively small home range, they are likely
to receive a more constant exposure to contaminated media. The 11-Mile Reach is a ribbon of habitat
within the Upper Arkansas River Basin and it is expected that larger mammals will migrate through and
may spend periods of time there. However, large mammal exposure will be considerably less as
compared to that of small mammals.
Generally, data for direct measurement of injury to large mammals are not available, and
characterizing the potential for injury is more difficult and uncertain. In the absence of data on
histopathology or metal residues in tissues, the potential for injury can be estimated using risk assessment
techniques in which the intake of metals is calculated and compared to benchmark intakes of known
toxicity to the receptor or similar species. Data on metal content in food and other ingested materials is
used along with estimates of the daily intake of each medium (Alldredge et al. 1974; EPA 1993, 1997;
Beyer etal. 1994).
Large mammals of greatest concern in the 11-Mile Reach are elk (Cervus elaphus) and mule deer
(Odecoileus hemionus). Elk and mule deer use the 11-Mile Reach seasonally during fall and winter, but
migrate to higher elevations in spring and summer. However, a few individuals may remain through
spring and summer. Elk feed both by grazing on grasses and forbs, and browsing on woody vegetation
(Fitzgerald 1994). Deer are primarily browsers, but opportunistically feed on grasses and forbs
(Fitzgerald 1994). Ungulates could be exposed to metals in forage plants, incidentally ingested soils, and,
to a lesser extent, in surface waters. Data on metal content of grasses, forbs, and shrubs (e.g., willows)
are available from Reach 0, 1, 2 and 3; grass and forb data are available from more downstream areas.
Vegetation data are from Keammerer (1987) and were collected from locations in the floodplain, but
distinct from mine waste deposits. Soils in these areas contain elevated metals concentrations, which tend
to decrease with distance downstream from Reach 1.
Carnivorous mammals such as the coyote (Canis latrans), red fox (Vulpes wipes), North
American badger (Taxidea taxus), and short-tailed weasel (Mustela ermined) also inhabit the 11-Mile
Reach. Individual fox and coyote occupy large areas ranging from several hundred to over 3,000 hectares
(USEPA 1993; Fitzgerald 1994). Badgers and weasels have more restricted home ranges and individual
may spend a large proportion of their time in the 11-Mile Reach. Coyotes, badgers, fox, and weasels are
primary carnivorous, feeding on small mammals and birds. Small mammal whole-body data from
California Gulch (Stoller 1996; USEPA 1997a) and other mine sites suggest that metals are not
12
effectively translocated to the primary prey of these species, thus bioaccumulation is low limiting the
potential for metals exposure to predators.
The potential for injury can be characterized by comparing the potential metals exposure of large
mammals to ecotoxicologically-based benchmarks. This was conducted using two approaches: (1)
comparing metal concentrations in forage plants to benchmarks from the scientific literature and (2)
estimating daily intake of metals from forage foods and soils, and comparing the intakes to TRVs which
represent rates corresponding to known levels of toxicity and injury (EPA 1993, 1997b, Eisler 2000).
4.2.1 Characterization of Potential Injury -Concentration-Based Benchmarks for Forage
There are few ecotoxicological benchmarks available for wild ungulates, therefore, benchmark
metal concentrations recommended for ruminant wildlife and livestock forage or feed are used (Table 3).
The most complete data set available for chemical concentrations in vegetation in the 11-mile reach is that
of Keammerer (1987). Metal concentrations in vegetation for Reaches 0, 1,2, and 3 are shown in Table
4. Except for lead, metal concentrations tended to be higher in forbs than in grasses. Mean metal
concentrations were less than benchmarks for all metals except cadmium. Mean cadmium concentration
exceeded the lowest benchmark of 0.5 mg/Kg for livestock (NAS 1980; Church 1988; Eisler 2000) in all
reaches, including Reach 0. Cadmium exceeded the no-effects criterion (3-5 mg/Kg) in only Reach 3,
and concentrations did not exceed those associated with mild renal dysfunction (10 mg/Kg) in any reach.
Cadmium concentrations in vegetation, especially forbs, were not significantly higher in Reach 1
or 2 than in Reach 0. Forb cadmium concentrations were highest in Reach 3, but differences may not be
significant. These results suggest that concentrations in the downstream sampling locations are not
different from Reach 0 (Figure 3), and that the corresponding potential for injury from cadmium in
vegetation does not differ from baseline conditions represented by Reach 0.
4.2.2 Characterization of Potential Injury - Estimated Metal Ingestion Rates
The potential for injury to large mammals was characterized using standard risk assessment
methodology to estimate the ingestion of metals in food and incidentally ingested soils (USEPA 1993,
1997b). The ingestion rates were then compared to TRVs representing known levels of potential toxicity
and injury. The characterization was phased, starting with a screening-level analysis (USEPA 1997b),
13
which includes conservative assumptions about exposure (i.e., ingestion) and toxicity (i.e., most sensitive
endpoints) in order to minimize the chance of underestimating the potential for injury.
The potential for injury was characterized for mule deer to represent grazing/browsing ungulates.
Mule deer were selected because they feed on a variety of vegetation types in the area and may remain in
the valley lowland for longer periods of time than elk, which migrate to higher elevations for a large
proportion of the year. Mule deer food and incidental soil ingestion rates were taken from the scientific
literature:
• Food ingestion rate: 0.02 Kg food/Kg bw/day (Alldredge et al. 1974)
• Soil ingestion rate: 0.0004 Kg soil/Kg bw/day (Beyer et al. 1994)
Conservative assumptions about bioavailability and contact rate were also used:
• Assuming that 100 percent of metal ingested in food is absorbed (i.e., 100 percent bioavailability)
• The receptor obtains 100 percent of food and incidentally ingested soil from the 11 -Mile Reach
Both of these assumptions tend to overestimate exposure since only a small fraction of ingested metals is
generally absorbed from the intestinal lumen (Klaassen 1995; Cooke and Johnson 1996; Eisler 2000), and
individual animals are unlikely to feed exclusively in the 11-Mile Reach.
Estimated ingestion rates were compared to the following NOAEL-based TRVs:
• Cadmium: 0.27 mg/Kg bw/day (Sutou et al. 1980 as cited in Sample et al. 1996)
• Lead: 5 mg/Kg bw/day (Horwitt and Cowgill 1971)
• Zinc: 45 mg/Kg bw/day (Schlicker and Cox 1968 as cited in Sample et al. 1996)
Risk of adverse effect was characterized using the hazard quotient approach (HQ)(USEPA
1997b). The HQ is the ratio of estimated site exposure to the TRY (i.e. [site exposure] / [TRY]). An HQ
greater than 1 indicates site exposures that exceed the TRY. NOAELs represent concentrations below
those expected to elicit adverse effects; the threshold exposure for inducing effects is higher than the
NOAEL and lies between it and the LOAEL. Since the TRVs used in this characterization are based on
NOAELs for sublethal systemic or reproductive effects and chronic exposure durations, an HQ less than 1
is indicative of conditions under which no effects are expected. The conservatism of using NOAEL-
14
based TRVs is compounded by that associated with the exposure estimation methods (i.e., 100 percent
bioavailability, 100 percent site use).
Exposures and risk were estimated for ingestion of cadmium, lead, and zinc in Reaches 0, 1,2,
and 3. The exposure point concentrations in forage plants and soil were assumed to be the mean +1
standard error for each reach (Tables 4 and 5). Since the exposure and risk estimates are based on
conservative, screening-level assumptions, this approach is consistent with the methods used to
characterize injury to plants in floodplain soils.
Calculations and HQs are shown in Table 6, and HQs are summarized in Figure 4. No HQs
exceeded 0.6 for any metal or reach, indicating that exposures are not expected to exceed NOAELs. This
result can be further interpreted as indicating a very low likelihood of injury to ungulates feeding in the
11-Mile Reach, and an even lower likelihood of significant injury or adverse effects on local populations.
4.2.3 Conclusions - Large Mammals
Data on metal concentrations in vegetation suggest that ruminant herbivores such as mule deer
and elk are at some risk from cadmium concentrations in vegetation that exceed the lower range of
recommended levels (0.5 mg/Kg) for livestock (NAS 1980; Church 1988; Eisler 2000). However,
Church (1988) also indicates that cattle are not affected by cadmium concentrations of 3-5 mg/Kg,
suggesting that this range may be more appropriate for characterizing injury. Although cadmium
concentration tend to be higher in samples from downstream reaches, cadmium concentrations in grasses
and forbs from Reach 1, 2, and 3 are not significantly higher than Reach 0 samples, suggesting that the
risk of injury in downstream reaches may not be greater than baseline. Estimations of cadmium intake
from ingestion of forage and soils from each reach do not exceed NOAEL-based TRVs for mammals,
even when conservative screening-level assumptions are used to estimate intake.
Results from small mammals data also suggests that risk of injury to large mammals is minimal.
Small mammals occupy much more restricted home ranges than larger, more mobile species. Therefore,
individuals that occupy contaminated areas experience much longer duration exposures. The lack of
effects observed in small mammals from Reach 2 and the Superfund site suggests that larger species are
not at risk.
15
As noted above, this approach is not a direct measure of injury to large mammals. Rather, it
helps characterize the potential for injury based on application of general toxicological information to site
conditions. Conservative assumptions were used in the exposure and risk estimation process to minimize
the likelihood that the risk of injury is underestimated. The effects of this conservatism are illustrated by
comparing the estimates of exposure and risk generated by EPA in the site wide ERA (USEPA 1997), to
the actual effects described in this document. EPA's assessments shows hazard indices between 10 and
100 in Reach 1 and 2. However, the exposure assessment presented above, combined with information
on small mammals, is not consistent with significant risk to mammalian wildlife in the 11-Mile Reach.
Taken together, these results suggest that individual ruminants are not likely to be injured in the
11-Mile Reach unless they feed exclusively in the areas of highest contamination. Elk and deer
populations that utilize the 11-Mile Reach are not likely to be injured due to the small proportion of the
11-Mile Reach that is covered by mine wastes and the fact that they do not continually utilize the
contaminated areas.
16
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Shore, R.F. and P.E.T. Douben. 1994. The Ecotoxicological Significance of Cadmium Intake andResidues in Terrestrial Small Mammals. Ecotoxicology and Environmental Safety, 29:101-113.
Spraker, T. 2001. Personal Communication with Dr. Terry Spraker, Pathologist, Veterinary TeachingHospital, Colorado State University, Fort Collins, CO.
Sutou, S., K. Yamamoto, H. Sendota, and M. Sugiyama. 1980. Toxicity, fertility, teratogenicity, anddominant lethal tests in rats administered cadmium subchronically. I. Fertility, teratogenicity,anddominant lethal tests. Ecotoxicol. Environ. Safety. 4:51-56.
S.M. Stoller Corporation, 1996. Screening Level Ecological Risk Assessment, Operable Unit No. 4,California Gulch Superfund Site. Prepared for Resurrection Mining Company, December 19,1996.
USEPA (United States Environmental Protection Agency). 1993. Wildlife Exposure Factors Handbook.Volume II. " USEPA/600/R93/187b, Office of Research and Development, Washington, D.C.
USEPA (United States Environmental Protection Agency). 1997a. Ecological Risk Assessment for theTerrestrial Ecosystem, California Gulch NPL Site. Prepared for USEPA by Roy F. Weston, Inc.and Terra Technologies. January.
USEPA (United States Environmental Protection Agency). 1997b. Ecological Risk Assessment Guidancefor Superfund: Process for Designing and Conducting Ecological Risk Assessments.Environmental Response Team, Edison, NJ. Interim Final. June 5, 1997.
WCC (Woodward Clyde Consultants). 1993. Terrestrial Ecosystem Evaluation Report California GulchSite, Leadville, Colorado. Prepared for ASARCO Inc., Denver, CO.
18
ATTACHMENT A
QUESTIONS FROM THE MOU PARTIES REGARDING TERRESTRIAL WILDLIFE
1. Clarify difference between literature benchmarks indicating injury and literature benchmarks
indicating risk of injury, (i.e. : the difference between tissue residues that results in effects vs.
soil/vegetation residues that pose a risk of injury)
2. Explain how the existing small mammal data can be used as an indicator of overall mammalian
population health (i.e. based on small mammal life history, they could represent a worst-case
scenario for all mammals) or explain if such an extrapolation is not appropriate.
3. Discuss the representativeness of using the existing small mammal data (primarily herbivores) to
extrapolate to other small mammals (i.e. insect!vores).
4. Explain the selection and application of specific benchmarks and why they are applicable to the
Upper Arkansas River Basin.
5. Explain how the actual injury data is used in conjunction with benchmarks.
6. Present the range of benchmark values considered, their effects, and the basis for choosing
specific ones.
7. Potential shortcomings of Woodward-Clyde not having sent the kidneys from the small mammal
study to the pathologist
8. Discussion of other factors that affect/influence metals exposure and (i.e., species, home range,
diet, etc)
9. How will soil ingestion by mammals be evaluated as a route of exposure?
10. Explain why co-location of Woodward-Clyde samples is a legitimate (conservative ?) approach
19
Table 1. Number and Type of Vole and Short-Tailed Weasel Tissue Samples from Reach 2(WCC 1993).
Tissue
voleLiver
Kidneyshort-tailedweaselLiver
Kidney
Number ofIndividualSamples
21
22
Number ofCompositeSamples
11
00
Number ofIndividuals in EachComposite Sample
44
00
Total numberof Samples
32
22
TotalNumber of
Animals
65
22
Table 2. Number and Type of Vole Tissue Samples from Reach 0 (WCC 1993).
Tissue
LiverKidney
Number ofIndividualSamples
00
Number ofComposite
Samples33
Number ofIndividuals in EachComposite Sample
10,10,610,10,6
Total numberof Samples
33
TotalNumber of
Animals2626
Table 3. Recommended Metal Concentrations in Forage Protective of Wildlife and Livestock (unitsmg/Kg)
Metal and Criterion UseCadmium
'Maximum tolerated1
Maximum exposure w/o effectMild renal dysfunction
Lead
Zinc
Recommended levels
Recommended range for livestockMaximum tolerated
ruminantsruminants
small mammals
horsescattle
calvesadult cattle
Concentration
0.53-510
<80<200
45-60500 (DW)
1,000(DW)
Reference
Church (1988)it ii
Cooke & Johnson (1996)
Eisler(1988)
Eisler(1988)
Table 4Plant Tissue Metal Concentrations for Grasses and Forbs (reported on a dry-weight basis) from Sites Sampled
along the Arkansas River '
Reach
0
1
2
3
Cadmium(mg/kg)
Grasses1
0.8(±1.3)
2.2(+0.2)
1.6(±0.9)
1.6(±0.4)
Forbs2
3.8(+0.87)
4.6(+1.4)
3.4(±3.5)
6.4(±1.1)
Copper(mg/kg)
Grasses5.1
(+0.6)4.6
(+0.4)4.9
(±1.8)6.4
(±0.6)
Forbs11.2
(+3.9)10.3(±2)7.7
(±4-8)18.9
(±1-6)
Lead(mg/kg)
Grasses0.1(+0)12.2
(+5.2)9
(±7)4.5
(±2.8)
Forbs2.9
(+1.6)19.8
(+8.3)13.1(±24)0.1(±0)
Zinc(mg/kg)
Grasses82
(+17.3)153
(+71)147
(±223)239
(±79)
Forbs255
(+72)248
(+74)186
(+315)394
(±98)
n 3
9
7
8
8
'Means and standard errors (±1 s.e.) for sites sampled in 1987.
The dietary concentration of cadmium that has been set as the maximum tolerable level for ruminants is 0.5 mg/kg (Church1988). This concentration is exceeded for both grasses and forbs. This is most likely a result of the generally highermineralization and metal content associated with soils in this region and does not translate to an injury to terrestrial trustresources. True toxicity to ruminants can only be determined with diet, physiological, and pathological studies of grazing animals.3 n = number of samples
Table 5Soil Metal Concentrations (total) for Sites Sampled along the
Arkansas River'
Reach
0
1
2
3
Cadmium(mg/kg)
Copper(mg/kg)
Total Total
3.3(±0.57)
13.5(±5.7)15.4
(+3.9)7.4
(±2-9)
29.9(±7.3)192
(±115)51.4(±15)58.5(±31)
Lead(mg/kg)Total
238(±45)3,990
(+1,212)675
(+241)626
(+435)
Zinc(mg/kg)Total
428(±75)3,142
(+2,385)1180
(±451)959
(+407)
in
9
7
8
81 Means and standard errors (±1 s.e.) for sites sampled in 1987 byKeammerer.2 n = number of samples
App J tables_and figsrev.xls Tble 4&510/29/2002
Table 6. Screening Level Exposure and Risk Estimates for Cadmium, Lead, and Zinc by Mule Deer,Upper Arkansas River Drainage Study Area
Chemical
Vegetation
ce-n <= „ S.O •- ,-* O 52 mO Wl ^ O fc -^
U_ 0> ^ U_ ° -^
-n f! P ifo ? § o > r a p i r a . SO.H' u.^ u_c u_co
TJ
8s;
Inta
ke fr
om F
(mg/
kg b
w/d
a
Soil•o
S S<B (D
c ^ ™
=5 II =5 fUD « 5 y) J3
~ '3 c o> o o> 'S
If =s | i 1 .1O <£• t/) -H- u_ O CD
'o ~>i
Inta
ke f
rom
S(m
g/kg
bw
/da
Water0ro
•- o >- »
I It 11 1c 1* 1 c f -— ru ^ 5 o S <Dc =5, - S> "B o roo ? 5 ^ 2 DI oO i- > v IJ- ffi
<u<° •>;
Inta
ke fr
om W
(mg/
kg b
w/d
a
Total Intakefrom Site(mg/kgbw/day)
Risk Estimate
TRVNOAEL
(mg/kgbw/day) HQ
REACH 0
Cadmium
Lead
Zinc
4.7 0.02 100% 100%
4.5 0.02 100% 100%
327.0 0.02 100% 100%
0.09
0.09
6.5
3.87 0.0004 100% 100%
283 0.0004 100% 100%
503 0.0004 100% 100%
0.002
0.1
0.2
0.0006 0.1 100% 100%
0.001 0.1 100% 100%
0.03 0.1 100% 100%
0.000
0
0.003
0.10
0.20
6.74
0.27
5
45
0.4
0.04
0.1
REACH 1
Cadmium
Lead
Zinc
6.0 0.02 100% 100%
28.1 0.02 100% 100%
322.0 0.02 100% 100%
0.12
0.6
6.4
19.2
5202
5527
0.0004 100% 100%
0.0004 100% 100%
0.0004 100% 100%
0.01 0.002 0.1 100% 100%
2.1 0.02 0.1 100% 100%
2.2 | 0.8 0.1 100% 100%
0.000
0.002
0.08
0.13
2.65
8.73
0.27
5
45
0.5
0.5
0.2
REACH 2
Cadmium
Lead
Zinc
6.9 0.02 100% 100%
37.1 0.02 100% 100%
501.0 0.02 100% 100%
0.14
0.7
10.0
19.3
916
1631
0.0004 100% 100%
0.0004 100% 100%
0.0004 100% 100%
0.01
0.4
0.7
0.0008 0.1 100% 100%
0.004 0.1 100% 100%
0.2 0.1 100% 100%
0.000
0
0.02
0.15
1.11
10.69
0.27
5
45
0.5
0.2
0.2
REACH 3
Cadmium
Lead
Zinc
7.5 0.02 100% 100%
0.10 0.02 100% 100%
492.0 0.02 100% 100%
0.15
0.00
9.8
10.3
1061
1366
0.0004 100% 100%
0.0004 100% 100%
0.0004 100% 100%
0.004
0.4
0.5
0.0001 0.1 100% 100%
0.008 0.1 100% 100%
0.2 0.1 100% 100%
0.000
0.001
0.02
0.15
0.43
10.41
0.27
5
45
0.6
0.09
0.2
1 Mean + 1 standard error from Table 22 From Table 3.3 Values are mean total concentrations for low flow, 1994 to present (Period 3)
Figure 1. Cadmium Residues in Kidney Samples from the Upper Arkansas River Area
800 -i
700 -
C- 600 -I
500 -
en
400 -03
c 300 -uo0 200
100
Effects-based benchmarks from Cooke & Johnson (1996) shown as horizontal lines.
L
Reach 0(mean+sd)
(WCC 1993)
LOAEL (proteinuria in rodents)
LOAEL (tubular dysfunction in rodents)
Critical Cone.
NOAEL (proteinuria, cellnecrosis in rodents)
Reach 1 (max)(WCC 1993)
Site Data
Upper Cal Glch (max fromcontaminated area)
(Stoller1996)
SMtissue1figs.xls Cd dose10/29/2002
Figure 2. Lead Residues in Kidney and Liver and Associated Effects
Effects-based benchmarks from Ma (1S96) shown as horizontal lines
50
45
40 •
I'"
£25yo" 20-
nnp 15
10-
5 -
0 -
Kidney
' 270 -Increased SOI
' 400 - Survival (moles)
increased SOI (oanK vole
._ _ NOAEL (rodents)NOAEL (reprod)NOAEL (SOI; rodents) m m " giSv~p5p| ££$*£