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Review of EPA 2015 Draft Se Criteria Document
EPA 822-P-15-001
Engs neers and Seien this
PREPARED ON BEHALF OF THE NATIONAL MINING ASSOCIATION
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Consulting Engineers and
Scientists
Review of EPA 2015 Draft Se Criteria Document
EPA 822-P-15-001
PREPARED ON BEHALF OF THE NATIONAL MINING ASSOCIATION
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Submitted to:
Docket ID No. EPA-HQ-OW-2004-0019
Submitted by:
GEI Consultants, Inc.
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Table of Contents
REVIEW OF EPA 2015 DRAFT SE C RI TERI A DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
1.
Introduction................................................................................................................ 1
2.
Positives..................................................................................................................... 2
2.1 Tissue-based Standards................................................................................... 2
2.2 Use of EC10S......................................................................................................2
2.3 Timing of Tissue Data Collection...................................................................... 3
2.4 Reliance on Maternal Transfer Rather Than Juvenile Survival Data................3
3.
Key Issues and Recommendations......................................................................... 4
3.1 Review of Toxicity Studies Used for Criteria Development.............................. 4
3.1.1 General.................................................................................................4 3.1.2 White Sturgeon.................................................................................... 4
3.1.3 Bluegill..................................................................................................5
3.1.4 Brown Trout..........................................................................................7
3.2 Additional Fish Species.................................................................................... 8
3.3 Derivation of Tissue Criterion Elements............................................................8
3.3.1 Updates to Egg/Ovary Criterion...........................................................8
3.3.2 Updates to Whole-body Criterion.........................................................9
3.3.3 Updates to Muscle Criterion............................................................... 12
3.4 Derivation of Protective Water Column Concentrations................................. 14
3.4.1 Use of Probability Distribution of Water ColumnConcentrations....... 14
3.4.2 Intermittent-exposure Element........................................................... 15
3.5 Recommendations for "Never to be Exceeded" Frequency............................ 15
3.6 Concerns with Primacy of Water Column Values............................................16
3.6.1 Recommendation for Invertebrate Tissue Criterion........................... 18
4.
Other Issues and Considerations.......................................................................... 19
4.1 Background Selenium Sources and Occurrences...........................................19
4.1.1 Incorporation of Background Conditions into Site-specific Criteria ....19
4.2 Use of TRAP versus Other Statistical Methods...............................................20
4.3 Additional Discussion of Tissue CriterionElements.........................................20
4.3.1 Conversion Factors........................................................................... 20
4.4 Derivation of Water Column-based Criterion Elements.................................. 20
4.4.1 Discussion of Trophic Transfer Functions (TTF)............................... 21
4.4.2 Enrichment Factors (EF).................................................................... 23
4.4.3 Classification of Aquatic Systems - Lotie vs. Lentic.......................... 23
4.5 Site-specific Criteria........................................................................................ 23
4.5.1 Deriving Site-specific Water Concentration Values from the Egg/Ovary Criterion........................................................................... 23
5.
Conclusions............................................................................................................. 25
5.1 Rvaluation of Acceptable Studies...............................................................25
5.2 Other Considerations...................................................................................... 26
5.3 Discussion of Final Criterion........................................................................... 26
6.
References
28
Table of Contents i
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List of Tables
Table 1: Table 2: Table 3: Table 4: Table 5: Table 6: Table 7:
Table 8:
Modified version of Table 3.2 of the 2015 draft Se criteria document following adjustments to chronic values for White Sturgeon, Bluegill, and Brown Trout based on review and analysis of study data. N =18. Asterisks indicate values that differ from those reported in the 2015 draft Se criteria document...............................................................9
Updated calculation of egg/ovary fish tissue-based Se criterion based on modifications in Table 2 (N = 14 genera, R = sensitivity rank in database)..................................................... 9
Modified version of Table 3.5 of the 2015 draft Se criteria document following adjustments to conversion factors and chronic values for White Sturgeon, Bluegill, and Brown Trout recommended by GEI Consultants, Inc. Asterisks indicate egg/ovary values that differ from those reported in the 2015 draft Se criteria document....................... 11
Updated calculation of whole-body fish tissue-based Se criterion based on modifications recommended by GEI Consultants, Inc., including use of EO /W B regressions (N = 18 genera, R = sensitivity rank in database)............................................. 11
Modified version of Table 3.7 of the 2015 draft Se criteria document following adjustments to chronic values for White Sturgeon, Fathead Minnow, Bluegill, and Brown Trout based on review and analysis of study data. Asterisks indicate values that differ from those reported in the 2015 draft Se criteria document................................13
Updated calculation of muscle fish tissue-based Se criterion based on modifications to Table 8 (N = 18 genera, R = sensitivity rank in database).................................................13
TTF median ratios from Table 3.10 and 3.11 in the 2015 draft Se criteria document
and calculated ranges and geomean ratios. Italicized values are lab-based TTF values; other TTFs are from field data. Strikeouts indicate EPA calculation errors. Revised values and species added to the database are shown in bold. Invertebrate and fish groups are indicated with orange and blue shading, respectively........................22
Revision of Table 4.1 from the 2015 draft Se criteria document, including our revisions and recommendations.................................................................................................... 27
List of Appendices
Appendix A Supplemental Data
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Executive Summary
GEI Consultants, Inc. (GEI) toxicologists, water quality specialists, and regulatory strategists are recognized experts in water quality effects on aquatic life. In fact, our significant experience related to selenium (Se) spans over 20 years of study at sites throughout the U S. and Canada. We frequently provide expert testimony and support for regulatory water quality hearings, environmental assessments, and ambient water quality standards development. Our personnel have served as invited experts for Se risk evaluation in aquatic environments for the Society of Environmental Toxicology and Chemistry, provided peer review for Se effects issues near coal mining sites in British Columbia (on behalf of the BC Ministry of the Environment), and provided technical review of Se issues for the North American Metals Council - Selenium Working Group, as well as other water quality issues for the National Mining Association (NMA). We have been involved with Se-related issues in waters throughout the U.S., including the collection of considerable water quality and biological data from a wide variety of waterbodies, evaluation of Se bioaccumulation trends, detailed Se source and fate identification, and development of site-specific Se standards. As such, we believe we can provide a unique perspective on this draft criterion and respectfully submit the following comments.
As stated in our prior review of the 2014 draft document, we commend EPA's effort in developing Se criteria that are generally consistent with the latest science regarding Se toxicity. We support the use of a fish-tissue based chronic criterion as the overriding criterion, as this is the most ecologically relevant measure of toxicity for Se. We also agree with the use of ECios rather than some other endpoint, as this is the more conservative approach. We also support EPA's conclusions regarding the timing of tissue data collection that samples collected within one year of each other are reasonable for acceptability.
We do have some concerns with several of the data decisions made by EPA in calculating the chronic tissue criterion concentrations. We have provided recommendations on revisions to the White Sturgeon, Bluegill and Brown Trout genus mean chronic values (GMCVs) or species mean chronic values (SMCVs). Should our recommendations be accepted, the result would be small, but significant, changes, with an egg/ovary criterion to 17.9 mg/kg, the whole-body criterion to 9.5 mg/kg, and the muscle criterion to 12.0 mg/kg. These revisions are based on our reanalysis of the studies, recalculation of conversion factors, or both.
We do not agree with the approach used to develop national water-column criteria. Our review provides discussion on why single nationwide standards are not appropriate and why site-specific water-column standards, calculated using EPA's Equation 18 from the criteria document, are a more scientifically justifiable approach. In addition, we provide an example of how limited the data set is, and how inclusion of additional data can make a substantial difference in the calculated water column criteria. Lastly, we would strongly recommend
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EPA consider changing the paradigm for National Pollution Discharge Elimination System (NPDES) permitting such that direct use of tissue criteria would be possible. To our understanding, there is nothing in the Clean Water Act that would preclude this. By writing permits to the most defensible endpoint of tissues, EPA would eliminate the need for backing into water concentrations by methods that invariably add significant error and uncertainty.
There are several other components of the criteria that should be reevaluated by the EPA. The use of "never to be exceeded" frequency for the tissue criteria is inappropriate and not in line with standard criteria attainment requirements. We recommend clarification of tissue sampling requirements and use of an alternative approach such as the geometric mean of samples collected, with an allowable exceedance frequency of no more than once every three years on average - consistent with other criteria. Another issue that requires rvaluation is how to establish criteria for streams with no existing fish populations. The default by EPA is to use water-column criteria; however, we provide discussion of an alternative involving use of the chronic invertebrate data provided in the EPA document.
Another topic that needs further consideration is providing discussion for how to use natural background Se concentrations to develop ambient based site-specific criteria (either tissue or water-based) where elevated concentrations are present unrelated to human-induced sources. EPA's discussion of site-specific standard development includes nothing on this issue (despite our raising this point last year) and needs further clarification.
We have some concern with the ECio calculations used in the document such as the use of TRAP for all statistical analyses and we recommend EPA consider other options as well. We have also provided additional information regarding calculation of egg/ovary to whole-body conversion factors (CFs), which we used to revise the GMCVs and SMCVs discussed previously.
Overall, this document is a substantial improvement over pre-2014 Se criteria documents, and we look forward to the final draft document, with the hope our recommendations are taken into consideration.
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1. Introduction
REVIEW OF EPA 2015 DRAFT SE C RI TERI A DOCUMENT DOCKET ID NO. EPA-HQ- OW- 2004- 001 9 OCTOBER 2015
The EPA approach in the 2015 draft Se criteria document is more in line with standard water quality criteria development methodology (Stephan et al. 1985) than previous attempts at revising and updating the Se criteria, and includes a critical evaluation of 16 studies on various fish species and results in Se tissue thresholds for twelve fish species in ten genera. Criteria calculations follow recommendations by Stephan et al. (1985) and use the 5th percentile calculation accounting for the relative sensitivities of all species in the data set. This approach results in more scientifically defensible criteria than the previous draft tissue criterion based on a single study.
We would like to acknowledge the extensive effort that EPA and others put into development of these updated chronic Se criteria and realize that considerable attempts were made to create a scientifically sound criteria document. Elowever, it seems that even though a substantial number of interested parties provided written comments to the first draft of this criteria document in 2014, the majority of these comments do not appear to be addressed in the criteria, with no responses provided as to the reason why particular comments were not considered in the revision beyond responding to those provided by the peer reviewers. Having ecologically relevant water quality criteria based on current science is of great importance to the scientific and regulated community and we appreciate this opportunity to again provide our comments and recommendations on the 2015 draft Se criteria document.
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2. Positives
REVIEW OF EPA 2015 DRAFT SE C RI TERI A DOCUMENT DOCKET ID NO. EPA-HQ- OW- 2004- 001 9 OCTOBER 2015
As we stated in our review of the 2014 draft document, this document and the tissue-based criteria approach is a significant improvement over the 2004 draft criteria document (EPA 2004). We strongly support EPA's decision to develop Se criteria that are toxicologically and ecologically relevant.
The document is clearly laid out, follows standard protocols for water quality criteria development, and includes thorough descriptions of the steps used in development of the criteria. We are in support of the following core components of the 2015 draft criteria document (see Sections 2.1 through 2.4 below):
a Tissue-based standards, Use of ECios, and i: Timing of tissue data collection Exclusion ofjuvenile survival data
In addition, in Sections 3 and 4 of this review, we have provided several recommended revisions and considerations that we believe will make the 2015 draft criteria document even more scientifically sound.
2.1 Tissue-based Standards
As stated in our previous review, we strongly support the approach of a fish tissue-based Se chronic criterion approach (egg/ovary and whole-body) in the final document as the primary criterion. Fish tissue-based Se criteria are consistent with the latest scientific information regarding the toxicology of Se to aquatic life. Tissue-based criteria are the most ecologically relevant for Se, as they are based on the chronic toxicity pathway which includes bioaccumulation of Se through dietary exposure and incorporates such variables as chemical reaction rates and exchange rates between sediment, water, and organism (Brix and DeForest 2008, Chapman et al. 2009). In addition, we strongly urge EPA to consider how such tissuebased criteria can be directly incorporated into NPDES permitting, as discussed further later in this review.
2.2 Use of EC10S
We agree with the use of ECio values to develop the tissue-based Se criteria, as data allow. Use of ECios is more conservative and consistent with other recent approaches (e.g., DeForest and Adams 2011). In addition, for many of the studies, other endpoints (e.g., EC20) may not be able to be determined based on the response curves observed in the data.
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We also understand that not all available studies provide sufficient data to reliably calculate ECio values. In general, we support the data decisions used by EPA for those studies, with the exception of the suggested modifications for specific studies and their data noted later in our review (Section 3.1).
2.3 Timing of Tissue Data Collection
We support EPA's conclusions that selenium measurements from samples collected at the same site within 1 year can serve as matched pairs of measurements, and feel the timing of tissue data collection will be an important component of implementing tissue-based criteria into NPDES permits and general 303(d) assessments. Allowance of appropriate sampling windows provides time for analysis of effluent data and potential follow-up tissue sampling. In addition, this large sampling window could be very important in ephemeral and intermittent aquatic systems where water may only be present during certain times of the year, resulting in limited time periods to conduct fish sampling.
2.4 Reliance on Maternal Transfer Rather Than Juvenile Survival Data
We would like to point out one additional point which we strongly agree with. We support EPA's decision to not rely on juvenile survival data, including overwinter survival, in developing the Se criteria. Although winter-stress may be a valid hypothesis, there are no data supporting its occurrence in the field (Janz 2008). Additionally, if other commenters have concerns with the exclusion of winter-stress data, we would recommend directing them to the Bluegill studies by Hermanutz et al. (1992, 1996), which included Bluegill exposed to year-round seasonal conditions in an outdoor test system, and thus include "winter stress" under natural conditions.
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3. Key Issues and Recommendations
While the 2015 draft Se criteria are an improvement over previous criteria, there are some key areas of the criteria that we feel still need closer examination and revision. We presented many of these recommendations and revisions to these key issues in our review of the 2014 draft, but most appear not to have been addressed. We provide additional comments on these areas below, and a further discussion of new concerns on the 2015 draft.
3.1 Review of Toxicity Studies Used for Criteria Development
The 2015 draft Se criteria document includes reproductive toxicity study data for nine fish genera (Table 3.1, page 40). As noted previously, overall, we concur with most of the data usage decisions made by EPA. However, we would like to reiterate some of our comments and suggestions on the data that were used to develop the egg/ovary chronic criterion (and subsequently, the whole-body and muscle criteria), as well as provide new comments and suggestions. We believe incorporation of these suggested changes would result in an egg/ovary chronic criterion that is even more scientifically defensible and have greater consistency with EPA's other data-usage decisions used elsewhere in their document.
3.1.1 General
As with the 2014 review, we examined each of the data points deemed acceptable by EPA for use in the egg/ovary criterion calculation (Table 3.1, page 40) to determine if we saw any potential issues with EPA's use of the data.
We continue to have some concerns with the use of TRAP for all data analysis (described in Section 4.2), although we do understand the value in standardizing the calculation of chronic values from each study by using one statistical approach. However, many of the values calculated by TRAP differ considerably from those calculated by the study authors. We would recommend EPA consider comparing effects calculations using other standard toxicological statistical programs to better understand the variability among programs and any implications of their choice to use TRAP for the resulting criteria.
3.1.2 White Sturgeon
In the 2015 draft criteria document EPA included data from the Linville (2006) White Sturgeon study. These data were not included in the 2014 draft, but White Sturgeon is now the most sensitive species in the database. This study was a dietary exposure in which adult female sturgeon were fed a Se spiked diet, and effects on larvae were measured. Larval effects were observed for edema and deformities.
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EPA calculated an ECio for total deformities (edema + skeletal) of 16.3 mg/kg using TRAP. This value was calculated based on a partial dose response. When data from this study are analyzed, TRAP warns that data should only be used for "exploratory purposes." Due to the partial response in the data, the calculation is highly dependent on the initial guess used for the slope in TRAP. In fact, in Appendix C (EPA 2015), EPA shows how choice of initial slope can affect these calculations, with ECio values ranging from 16.3 mg/kg to 19.1 mg/kg when using different slopes. EPA selected the most conservative value for use in criteria development, even while acknowledging there was no scientific reason one value was more valid than another (and, in fact, all calculated values were statistically identical).
Generally, use of an ECio based on a partial response is not appropriate for national criteria development, especially when it results in a value becoming the "most sensitive" and thereby driving the final criterion. In fact, on page 33 of the 2015 draft criteria document EPA states that "an ECIO based on only one partial response would not ordinarily be included in the data set." A similar partial response was observed in the Fathead Minnow data from the GEI2008 study; EPA excluded these Fathead Minnow data from the chronic dataset because of an "insufficient response." EPA's reasoning for using the White Sturgeon data that had only a partial response is that there are data that suggest that the federally-listed Green Sturgeon is also sensitive to selenium. The Green Sturgeon study consisted of effects on survival and percent body weight in juvenile sturgeon and is not comparable to the reproductive endpoints in all other studies used for criteria development. However, we realize that EPA is concerned with protecting any threatened or endangered species, and the criteria document states that the White Sturgeon serves as a surrogate for other sturgeon as well.
Although the White Sturgeon data are somewhat questionable, they are important data due to the threatened or endangered listings of other species of sturgeon. However, we do recommend revisions to the ECio value used for criteria calculations. As stated previously, the ECio is based on only a partial response, therefore when the threshold sigmoid nonlinear regression model in TRAP is used, several curves may be fit by varying the slope used in the calculation. In Appendix C of the 2015 EPA criteria document, four ECio values have been calculated, all with the same goodness of fit. While EPA chose the most conservative value for use in criteria calculations, we recommend use of the geometric mean of the four ECios, as they are all equally valid. This results in an egg/ovary ECio of 17.8 mg/kg dw for White Sturgeon (Table 2).
3.1.3 Bluegill
In the 2015 draft Se criteria document, EPA utilized three Bluegill studies in the derivation of the tissue-based criteria: Doroshov et al. (1992), Coyle et al. (1993), and Hermanutz et al. (1992, 1996). While we agree with the use of the Doroshov et al. (1992) and Coyle et al. (1993) studies, we have several concerns regarding the use of the Hermanutz et al. (1992, 1996) data.
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EPA reported an egg/ovary ECio of 12.68 mg/kg for the Hermanutz et al. (1992, 1996) studies. This value was derived through a reanalysis of the data using TRAP and combining results from Studies I and II (Hermanutz et al. 1992, 1996) - in other words, they actually combined data from studies conducted over two different years, a data usage practice rarely used in criteria development. EPA elected to exclude Study III and several streams from Study II because they were considered to be "recovering" streams and were no longer receiving aqueous Se dosing. However, fish in these streams were obviously exposed to dietary Se throughout the study, which is the same exposure route that was used in other studies considered acceptable by EPA, such as the Linville (2006) White Sturgeon study, the Doroshev et al. (1992) Bluegill study, and the CP&L (1997) Largemouth Bass study. It is unclear why these dietary studies were included in the criteria development and the "recovering" streams from Studies II and III, which showed no effects, were not.
In addition, we previously expressed several concerns about the results of Studies I and II and the resulting analysis:
i: The studies were conducted 1 year apart, which resulted in significant variation in all of the measured water quality parameters between the two studies.
There were differences in how EPA analyzed and used the data from the two studies in Appendix C (see pages C-107 and C-108 of the 2014 draft Se criteria document).
ti There were differences in egg and larvae survival between Studies I and II (see pages C-107 and C-108 of the 2014 draft Se criteria document).
m The ovary Se concentrations resulting from the same water exposures were quite different. These variations raise concerns that differences in Se uptake, bioaccumulation, exposure, or other factors could have been occurring between Studies I and II.
m In Study I, geometric mean ovary Se concentrations were higher in the 10 pg/L exposure (17.71 mg/kg) than the 30 pg/L exposure (15.46 mg/kg). Related to the concerns discussed above, this unexpected result indicates there may have been an issue with study conditions that caused inconsistencies with Se uptake, bioaccumulation, or exposure.
Based on these concerns, as well as the omission of any data from Study III, we recommend the Hermanutz et al. (1992, 1996) data could be completely removed from the database used for criteria derivation altogether. If only the other two chronic values for Bluegill (20.75 mg/kg [Doroshov et al. 1992] and 24.55 mg/kg [Coyle et al. 1993]) are used, a Bluegill egg/ovary GMCY of 22.57 mg/kg would be appropriate, and show that the value EPA derived from the Hermanutz et al. studies would be an outlier.
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3.1.3.1 Use of Only Egg Data from Bluegill Studies with Egg and Ovary Data Available
Both Doroshov et al. (1992) and Coyle et al. (1993) present tissue data for both ovaries and eggs. It is unclear why EPA only used egg data from these studies and did not include both egg and ovary tissues as an average value. On page 78 of the 2014 draft Se criteria document, EPA suggests that it is appropriate to use the average of egg and ovary concentrations when both tissues are reported when deriving CFs. We recommend EPA include data for both ovaries and eggs, or at the very least provide details about its preference for egg versus ovary tissues, as this information will be important to make sure future toxicity testing and criteria implementation include measurement of Se in appropriate tissues.
3.1.4 Brown Trout
In the 2015 draft Se criteria document, EPA utilized Brown Trout data from Formation Environmental (2011). During this study, a tank overflow accident occurred which resulted in the loss of several study fish. In the 2014 draft, EPA presented two approaches for dealing with this loss of these study organisms: 1) assume that all fry lost were dead or deformed ("worst case" assumption) and 2) assume that fry lost had the same rates of mortality and deformities as those not lost ("optimistic" assumption). In the 2014 draft, EPA chose to assume the "worst case" scenario and derived an egg/ovary ECio of 15.91 mg/kg using the results from that scenario and the deformity alone endpoint. In the 2015 draft EPA acknowledged the uncertainty with how to best address the loss of fish, and decided to calculate an ECio for survival only during the first portion of the test, prior to the accident. This resulted in calculation of an ECio of 18.09 mg/kg egg dw for larval survival.
We still believe that all appropriate data from this study should be used and that the "optimistic" scenario should be considered, as it reflects what was observed in the remaining population (i.e., the fish not lost to overflow). EPA did not provide any reasons for why use of all data with the "optimistic" assumption is not a valid approach. As stated previously, throughout GEI's 25 years of conducting toxicity tests in our laboratory, we have observed that dead fish actually collect at the bottom of the aquarium not at the top, where fish would be more likely to be lost in an overflow event. Therefore, based on what has been observed in standard toxicity tests EPA should use their "optimistic" (i.e., what we consider to be realistic) assumption, and continue to use the entire data set that provides both survival and deformity information, rather than just using survival data from one portion of the test.
We also believe there is no valid reason to use the deformities endpoint alone when the combined survival and deformities endpoint is available. In fact, this is more in line with the EPA's previous approach in the 1999 ammonia criteria document where they used the combined survival and growth endpoint, termed "biomass." Additionally, there were no difficulties in using TRAP to fit the combined data, and these data and resulting graphs are provided in Appendix C, Figure 1 of the EPA 2015 draft Se criteria document. When these
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combined data are used, the ECio for the "optimistic" assumption is 21.16 mg/kg for egg/ovary, which we recommend as an appropriate and protective Brown Trout chronic value.
3.2 Additional Fish Species
Another fish family used in development of the EPA criterion was Poeciliidae, which includes Gambusia holbrooki and Gambusia affinis. These fish are livebearers and were not included in development of the egg/ovary value, but were used as one of the values in the dataset, increasing the N used in calculations.
There are three additional fish species that could also be included to increase the number of values in the dataset. Although no valid reproductive studies have been conducted on these species, similar to the EPA decisions on invertebrates, field studies have demonstrated that these species are not sensitive to elevated selenium concentrations so they could be used to increase the N. Central Stonerollers (Campostoma anomalum), Red Shiner (Cyprinella lutrensis), and Sand Shiners (Notropis stramineus) were able to maintain successful reproducing populations (similar to their populations at low Se locations) with whole body tissue concentrations over 40 mg/kg dw in a study conducted near Pueblo, Colorado (G EI2007). These data are also provided in Appendix E of the EPA 2015 draft criteria document (Table E-18). Because these species are insensitive to elevated selenium, they would not be in the top four most sensitive; however, they can be included in the total number of species. Inclusion of these fish species increases N from 15 to 18.
3.3 Derivation of Tissue Criterion Elements
3.3.1 Updates to Egg/Ovary Criterion
Implementing the data usage modifications discussed above (Section 3.1.1) results in changes to the criteria calculations. The following is a summary of our recommended modifications:
t: Update the White Sturgeon SMCV to 17.8 mg/kg
Result of calculating the geometric mean of the four ECios calculated by EPA
i: Update the Bluegill GMCV to 22.57 mg/kg
Result of excluding the Hermanutz et al. (1992, 1996) studies
Update the Brown Trout SMCY to 21.16 mg/kg
* Result of using all data (survival and deformity) with the "optimistic'Vrealistic assumption for addressing the issue of the fry lost during the study
Include three additional fish species to increase N based on observed insensitivity to Se
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The order and chronic values for the top four most sensitive species change as a result of the modifications to the White Sturgeon, Bluegill and Brown Trout GMCYs (Table 1). In addition, the sample size increases from N=15 to N=18. Using the data presented in Table 3, an updated egg/ovary criterion of 17.9 mg/kg can be derived using EPA criteria calculation methodology (Stephan et al. 1985; Table 2). We recommend EPA considers this recalculated criterion, as it is based on sound data for relevant species.
Table 1:
Rank 9 8 7 6 5 4 3 2 1
Modified version of Table 3.2 of the 2015 draft Se criteria document following adjustments to chronic values for White Sturgeon, Bluegill, and Brown Trout based on review and analysis of study data. N=18. Asterisks indicate values that differ from those reported in the 2015 draft Se criteria document.
GMCV (mg Se/kg dw EO)
Species
SMCV (mg Se/kg dw EO)
56.22
Dolly Varden, Salvelinus malm a
56.22
<34
Northern Pike, Esox lucius
<34
27
Desert Pupfish, Cyprinodon macularius
27
<23.85
Fathead Minnow, Pimephales promelas
<23.85
22.71
Cutthroat Trout, Oncorhynchus clarki Rainbow Trout, Oncorhynchus mykiss
24.45 21.1
22.57*
Bluegill Sunfish, Lepomis macrochirus
22.57*
21.16*
Brown Trout, Salmo trutta
21.16*
20.35
Largemouth Bass, Micropterus salmoides
20.35
17.8*
White Sturgeon, Acipenser transmontanus
17.8*
Table 2:
Rank 1
Updated calculation of egg/ovary fish tissue-based Se criterion based on modifications in Table 2 (N = 14 genera, R = sensitivity rank in database).
Genus
GMCV
In GMCV
(In GM CV)2
P = R/(N+1)
A c ip e n s e r
17.80
2.8792
8.2898
0.0526
2
Micropterus
20.35
3.0131
3
Salmo
21.16
3.0521
4
Lepomis
22.57
3.1166
9.0787 9.3154 9.7133
0.1053 0.1579 0.2105
Sum
12.0610
36.3972
0.5263
Calculations: Chronic Egg/Ovary Criterion
S2=y(lnGMCV)2- (yinGMCV)74 = 36.3972 - (12.0610)74 = 1.0306
I P -d V P )2/4
0.5263 -(1.4101 )2/4
L = [Iln G M C V - S (lV P )]/4 = [1 2 .0 6 1 0 - 1.0152(1.4101]/4 = 2.6574
A = S(V0.05) + L = (1.0152)(0.2236) + 2.6574 = 2.8844
Final Chronic Value = FCV = eA= 17.8927
S = 1.0152
Vp 0.2294 0.3244 0.3974 0.4588 1.4101
3.3.2 Updates to Whole-body Criterion
In Section 3.1.5.2 of the 2015 draft Se criteria document, EPA presents its approach for deriving a whole-body-based criterion. To develop whole-body chronic values, EPA
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translated the egg/ovary chronic values used to develop the egg/ovary criterion using egg/ovary to whole-body CFs (Table 3.5 of the 2015 draft Se criteria document). These converted values were then used to calculate a whole-body criterion of 8.0 mg/kg. EPA again used a sample size of 15, which included the three invertebrate-based values, the two assumed crustaceans, and Gambusia.
As we previously commented, in the past EPA has used regression-based CFs (e.g., Bluegill CF from EPA's 2004 draft Se criteria document). Flowever, in the 2015 draft Se criteria document, EPA developed CFs based on the median of available matched egg/ovary and whole-body Se data. We believe a more appropriate method would be to use regressionbased egg/ovary to whole-body translators when appropriate (i.e., when the regression relationship had an R2value >0.70). We translated the egg/ovary database to whole-body and derived an updated whole-body criterion (Table 3 and Table 4). For Oncorhynchus, individual CFs were used to translate each species individually (O. mykiss and O. clarkii), but an overall regression using data for both species was used to convert the Oncorhynchus egg/ovary GMCV to a whole-body GMCY of 14.99 mg/kg (Table 6). In addition, as discussed in Section 4.3.1, we corrected and updated the median-based CFs based on our review of EPA's data and addition of our data; these updates were incorporated here. Many of these recommendations, which are based on data EPA had in 2014 or were provided in our earlier review in 2014, were not used, with no reasons provided.
The whole-body criterion should also be adjusted as a result of our updates to the White Sturgeon, Bluegill, and Brown Trout egg/ovary chronic values.
Incorporating our modifications to the egg/ovary to whole-body translators, updated toxicity values for White Sturgeon, Bluegill, and Brown Trout, and increasing the sample size from 15 to 18 results in an updated whole-body criterion of 9.55 mg/kg which can be derived using EPA criteria calculation methodology (Stephan et al. 1985; Table 7). We recommend EPA considers this recalculated criterion with regression-based CFs in place of median-based conversion factors when possible, as it is based on sound data for relevant species.
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Table 3:
Modified version of Table 3.5 of the 2015 draft Se criteria document following adjustments to conversion factors and chronic values for White Sturgeon, Bluegill, and Brown Trout recommended by GEI Consultants, Inc. Asterisks indicate egg/ovary values that differ from those reported in the 2015 draft Se criteria document.
Rank
Taxon
8 Salvelinus
7 Esox
6 Cyprinodon
5 Pimephales
O. m ykiss
4 O. ciarkii
Oncorhynchus
EO C hronic
V a lu e 56.22
34 27 23.85* 21.1 24.45
22.71
EO/WB R e g re s s io n 3o r Median-based CF y = 0 .9 6 1 7 x + 5 .5021 y=0.9426x-1.4953
1.21 1.40 y=0.6582x-0.0949 2.32
y = 0 . 5 7 3 1 x + 1 .9711
C a lc u la te d WB Repro
C hronic V a lu e
Basis fo r EO/WB Ratio (from A ppendix B)
59.57
Regression-based Dolly Varden (includes M/WB conversion)
30.55
Regression-based Northern Pike (includes M/WB conversion)
22.31
Median Desert Pupfish EO/WB from EPA 2014
17.04
Median Fathead Minnow EO/WB (from GEI Consultants, Inc. 2008)
13.79
Regression-based Rainbow Trout (includes M/WB conversion)
10.54
Modified median Cutthroat Trout (includes M/WB conversion)
14.99
Regression-based Rainbow Trout and Cutthroat Trout (includes M/WB conversion)
3 Salmo
21.16*
1.45
14.59 Median Brown Trout EO/WB
2 Micropterus 1 Lepomis
20.35 y=0.4384x+2.161 22.57* y=0.4239x+1.2392
11.08 10.81
Regression-based Centrarchidae (Bluegill, smallmouth bass, green sunfish) EO/WB
Regression-based Bluegill EO/WB
A c ip e n s e r
17.8
1.694
10.51
Median W hite Sturgeon EO/M (1.330) x median fish M/WB (1.274)
Table 4:
Rank 1 2 3 4
Updated calculation of whole-body fish tissue-based Se criterion based on modifications recommended by GEI Consultants, Inc., including use of EO/WB regressions (N = 18 genera, R = sensitivity rank in database).
Genus A c ip e n s e r Lepomis Micropterus
Salmo
GMCV 10.51 10.81 11.08 14.59
Sum
In GMCV 2.3523 2.3805 2.4051 2.6803 9.8183
(In GMCV)2 5.3334 5.6666 5.7847 7.1842 24.1690
P = R/(N+1) 0.0526 0.1053 0.1579 0.2105 0.5263
Vp 0.2294 0.3244 0.3974 0.4588 1.4101
Calculations: Chronic Whole-body Criterion
S 2=y (ln G M C V )2 - (y in G M C V )2/4 = 24.1690 - (9.8183)2/4 = 2.3707
I P - d V P ) 2/4
0.5263 - ( 1 .4 1 01 )2/4
L = [Iln G M C V - S (lV P )]/4 = [9 .8 1 8 3 - 1.5397(1.4101]/4 = 1.9118
A = S(V0.05) + L = (1,5397)(0.2236) + 1.9118 = 2.2561
Final Chronic Value = FCV = eA= 9.5457
S = 1.5397
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3.3.3 Updates to Muscle Criterion
In Section 3.1.5.3 of the 2015 draft Se criteria document, after presenting its approach for developing the egg/ovary criterion, EPA presents its approach for deriving a muscle-based criterion. To develop muscle chronic values, EPA translated the egg/ovary chronic values used to develop the egg/ovary criterion using egg/ovary to muscle CFs (Table 3.7 of the 2015 draft Se criteria document). These converted values were then used to calculate a musclebased criterion of 11.3 mg/kg. EPA again used a sample size of 15, which included the three invertebrate-based values, the two crustaceans and Gambusia.
As a result of our recommended updates to the White Sturgeon, Bluegill, and Brown Trout egg/ovary chronic values, the muscle criterion will also need to be adjusted.
Incorporating our suggested modifications results in several changes in the top four most sensitive species of the muscle-based toxicity database (Table 5). In addition, the sample size increases from N=15 to N=18 as a result of the additional fish species discussed previously. Using the data presented in Table 6 an updated muscle criterion of 11.96 mg/kg can be derived using EPA criteria calculation methodology (Stephan et al. 1985). We recommend EPA considers this recalculated criterion, as it is based on sound data for relevant species.
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Table 5:
Modified version of Table 3.7 of the 2015 draft Se criteria document following adjustments to chronic values for White Sturgeon, Fathead Minnow, Bluegill, and Brown Trout based on review and analysis of study data. Asterisks indicate values that differ from those reported in the 2015 draft Se criteria document.
Rank
Taxon
EO Chronic
Value
EO/M Ratio
Calculated Muscle Repro Chronic Value
Basis for EO/M Ratio (from Appendix B)
Salvelinus
8
Cyprinodon
7
Salmo
56.22 27
21.16*
1.264 0.95 1.135
44.478 28.421 18.643*
Median Dolly Varden EO/M Median Desert Pupfish EO/WB divided by median fish M/WB Median Brown Trout EO/
6
Esox
34
1.875
18.133
Median Northern Pike EO/M
5
Micropterus
20.35
1.187
17.144
Median Micropterus EO/M
4
Lepomis
22.57*
1.375
16.415*
Median Bluegill EO/M
3
P im e p h ale s
23.85
1.59
15.0
Median Cyprinidae EO/M
2
A c ip e n s e r
17.8
1.33
13.383
Median White Sturgeon EO/M
O. m ykiss
21.1
1.916
11.013
Median Rainbow Trout EO/M
1
O. clarkii
24.45
Oncorhynchus 22.71
1.805 1.86
13. 546 12.214
Median Cutthroat Trout EO/M
Using geomean of species ratios yields geomean of SMCVs
Table 6:
Rank 1 2 3 4
Updated calculation of muscle fish tissue-based Se criterion based on modifications to Table 8 (N = 18 genera, R = sensitivity rank in database).
Genus Oncorhynchus
A c ip e n s e r P im e p h ale s
Lepomis
GMCV 12.214 13.383
15.0 16.415
Sum
In GMCV 2.5026 2.5940 2.7081 2.7982 10.6028
(In GM CV)2 6.2629 6.7288 7.3335 7.8299 28.1551
P = R/(N+1) 0.0526 0.1053 0.1579 0.2105 0.5263
Vp 0.2294 0.3244 0.3974 0.4588 1.4100
Calculations: Chronic Muscle Criterion
S2=I(ln G M C V )2- (7lnGM CV)2/4 = 28.1551 - (10.6028V74 = 1.7159
I P - d V P ) 2/4
0.5263 - (1.4100)2/4
L = [Iln G M C V - S (lV P )]/4 = [10.6028 - 1.3099(1.4100]/4 = 2.1889
A = S(V0.05) + L = (1,3099)(0.2236) + 2.1889 = 2.4818
Final Chronic Value = FCV = eA= 11.9634
S = 1.3099
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3.4 Derivation of Protective Water Column Concentrations
3.4.1 Use of Probability Distribution of Water Column Concentrations
As stated previously, we do not agree with the general approach used to derive the two default water column concentrations meant to be protective of fish-tissues. Table 3.13 on page 82 of the 2015 draft Se criteria document presents site-specific data for 20 lentic and 33 lotic species-site combinations and includes site-specific enrichment factors (EF), speciesspecific whole-body to egg/ovary conversion factors (CF), and composite trophic transfer function (TTFcomposite) values based on expected trophic levels at the site.
The final water quality criteria selected for lotic and lentic systems were based on Figure 3.96, page 84 of the 2015 draft Se criteria document. This figure is a probability distribution of the water column concentrations for lentic and lotic sites after being translated from the final egg/ovary tissue criterion (data from EPA Table 3.13). As we stated in our previous review, it appears this figure and the choice of a 20thpercentile were used as if these represented sensitivity distribution curves, in which protectiveness can be predicted based on selecting a certain percentile value from the curve. Flowever, these are not sensitivity distribution curves - in fact, as we pointed out last year, each value on these curves is a translated water concentration value that was specifically calculated to be protective of the egg/ovary tissue criterion. Therefore, each and every point on this graph (and those values in thefar-right column of Table 12) is protective o f the egg/ovary criterion based on the site-specific parameters at that site (given site-specific EF, CF, TTF).
Thus, the analysis by EPA actually demonstrates that water concentrations that are protective of the tissue criterion can range from 0.23 pg/L to 50.4 pg/L for lentic sites, and 1.2 pg/L to 40.6 pg/L for lotic sites, depending on the site-specific factors used in Equation 18. By selecting a 20th percentile value to use as the water column criteria, as EPA did, 80% of the sites in Table 3.13 would be overprotected, and 20% of the sites would be underprotected, resulting in a water column criterion that is wrong virtually 100% of the time - with the exception being the particular sites that fell right on the 20th percentile lines.
We believe there are a number of valid approaches to translate an egg/ovary criterion to a water column value, such as Equation 18 or a bioaccumulation factor (as discussed later), but only if the proper data are used in the equations. The key is to properly characterize the base of the food chain, which for lotic systems includes incorporating sediment and/or periphyton data, rather than relying on suspended particulate Se data. Other modeling approaches that also capture the various aspects of the system could also be used to translate a water column criterion.
In addition, the dataset used to derive EPA's water column values is very limited, especially when considering this is supposed to be the basis for a national criterion. Using additional data from several GEI projects (and other GEI updates previously discussed in this
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document), we recalculated the lotic water column value using EPA's method and derived a value of 4.2 |ig/L. Paired data from GEI projects were available for 47 additional sites, which more than doubles the database used by EPA. Protective values for these lotic sites range from 1.18 pg/L to 81.03 pg/L. While we still believe this method for calculating a nationwide water column value is over-conservative, this recalculation demonstrates how additional data can substantially affect the final value. If EPA intends to use this method to calculate a nationwide water column value, there should be more effort put into collecting site-specific data to include in the database, and not just relying on a few published literature values, most of which were data collected more than 20 years ago.
In addition, we also concur with comments provided by (API 2015) regarding the counterintuitive results calculated when using constant EFs and TTFs. We would agree that the alternative approaches they provide for these calculations would result in more appropriate protective water column criteria.
3.4.2 Intermittent-exposure Element
The intermittent exposure component of the water column-based criterion attempts to address pulses of elevated Se concentrations that could contribute to chronic effects. The equation to calculate the intermittent exposure criterion seems to be an oversimplification as it is essentially just a rearrangement of the equation to calculate a 30-day average concentration. A more appropriate way to determine limits for short-term elevated pulsed Se exposures would be to use a scientifically-based biokinetic model as discussed in Appendix G of the 2014 draft Se criteria document, and described in more depth in DeForest et al. (in press). We have also provided further recommendations on calculation of this element in our previous review (GEI 2014a).
3.5 Recommendations for "Never to be Exceeded" Frequency
Although it is inherent in the way this document was written that the burden to determine how a tissue-based standard will be implemented will be left to the States, we would like to comment on the "instantaneous" and "never to be exceeded" language that is presented in relation to the proposed tissue standard.
Generally, the term "never to be exceeded" requires substantive clarification to make clear what is expected - an issue that cannot wait for some future undetermined "implementation guidance" document. The way the language is written currently suggests that a single fish tissue sample with a concentration above the criteria (egg/ovary, whole-body, or muscle) would result in non-attainment - a result that is in direct contradiction to the data used to develop the criterion, which are based on ECios calculated from means of treatments. However, other alternatives could be employed (as discussed in our previous review) to ensure that a single fish would not be used to determine attainment. We also support the very detailed analysis of this issue contained in last year's comments by NAMC-SWG (2014).
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3.6 Concerns with Primacy of Water Column Values
We also have serious concerns with Footnote 3 of the proposed criterion. Footnote 3 outlines two scenarios in which water column values have primacy over fish tissue values - "fishless waters" and waters with "new or increased inputs of selenium until equilibrium is reached." Specifically, Footnote 3 states:
Water column values are based on dissolved total selenium (includes all oxidation states, i.e., selenite, selenate, organic selenium and any other forms) in water. Water column values have primacy over fish tissue values under two circumstances: (1) "Fishless waters" (waters where fish have been extirpated, or where physical habitat and/or flow regime cannot sustain fish); and (2) New or increased inputs of selenium until equilibrium is reached.
While we understand the concerns EPA is seeking to address with respect to these two scenarios, we think that the proposed language, when taken in conjunction with the antibacksliding provisions of the CWA, the requirements of the National Pollutant Discharge Elimination System (NPDES) permitting process for establishing water quality-based effluent limits (WQBELs), and state anti degradation regulations could in some instances effectively nullify the fish tissue approach all together. While EPA considers this an "implementation" issue, it is in fact the language of the criterion itself that will cause the issue and it cannot be rectified with implementation guidance. Flowever, we think that there are ways to address EPA's intent in the criterion document that will allow state programs to maintain the primacy of the fish tissue values in permits without compromising the quality of downstream waters or waters with new or expanded selenium discharges.
The CWA's anti-backsliding provision provides that "a permit may not be renewed, reissued, or modified. ..to contain effluent limitations which are less stringent than the comparable effluent limitations in the previous permit." CWA Sec. 402(o). While there are listed exceptions to the anti-backsliding requirements, many state agencies and their NPDES permit writers construe these exceptions narrowly and generally interpret anti-backsliding to mean that permits cannot be modified or renewed with less stringent WQBELs than those contained in the previous version. Additionally, certain anti-backsliding exceptions for WQBELs are tied to both attainment and antidegradation regulations, which may cause additional issues with their application in some state programs.
As written, with respect to new or expanded discharges, the criterion would require a permit writer to put WQBELs based on the proposed water column criteria into NPDES permits during the months or even years that it takes for the receiving water to reach "equilibrium."1
1Importantly, Footnote 1 explains that the egg/ovary criterion element "overrides any whole-body, muscle, or water column element when egg/ovary concentrations are measured, except in [the situations outlined in Footnote 3]," and Footnote 2 states that the fish whole body or muscle criterion element "overrides any water column element when both fish tissue and water concentrations are measured, except in [the situations outlined
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Due to the conservative estimates used to derive the water column concentrations, it is possible that in many instances a post-equilibrium discharge limit derived from a fish tissue concentration-based effluent limit will be higher than one based on the water column value. However, because a discharger's permit will already contain the more stringent limitation, even after equilibrium is reached a discharger may only be allowed to have a limitation based on a fish tissue concentration put into their permit if that limitation would be more stringent than the one based on the water column value. In other words, there will likely be instances in which a fish tissue-based effluent limitation will not be permissible if states adopt the criterion as proposed despite the fact that such a limitation would represent the best available science and reflect the EPA's intent as we understand it. This same analysis applies to existing discharges where states may choose to first apply a WQBEL based on the proposed water column criterion where data regarding fish tissue and fish egg ovary selenium concentrations may be scarce, not collected during permit renewal, or otherwise unavailable at the time of permit renewal.
While for some states programs this may not pose an issue (and we support such states' interpretation of anti-backsliding), and for others implementation guidance may be able to address this issue by fitting the criterion into one of the anti-backsliding exceptions, it is unclear if that will be legally possible, and regardless it would not matter because as a practical matter dischargers would have already had to install control technologies to treat to the more stringent water column-based limit despite the fact that such controls are not necessary to protect aquatic life. In more extreme cases, dischargers may not be able to get a permit at all based on Footnote 3 due to elevated natural background levels of selenium, despite the fact that certain levels of selenium could be discharged safely as demonstrated by the fish tissue concentrations, because permit writers would be inappropriately basing their calculations on the water column number. Because of this, we make two recommendations. The first is deleting Footnote 3 as written, and instead including a provision for new or expanded discharges whereby limitations are derived from fish tissue concentrations but compliance cannot be tested until the appropriate amount of time has elapsed for the receiving water to reach equilibrium (i.e., a bioaccumulation study special condition requirement). The second is renaming the water column "criteria" as water column "thresholds," as was done in Kentucky's recently approved selenium water quality criteria revision. This would clarify EPA's intent to allow fish tissue concentrations to have primacy over the water column values.
With respect to "fishless waters," Footnote 3 will likewise lead to situations in which dischargers must install expensive control technologies or not be able to discharge selenium at all despite the fact that such requirements are not necessary to protect aquatic life. We
in Footnote 3]." Therefore, when read together, Footnotes 1-3 make clear that, with respect to "fishless waters" and waters with new or increased selenium inputs until equilibrium is reached, the water column element must be used as the applicable water quality criterion. Permit writers must therefore, based on this language, use the water column values to derive applicable water quality-based effluent limitations.
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understand that EPA is required under the CWA to protect downstream waters when deriving water quality criteria. However, a scientifically defensible approach to "fishless waters" that EPA should provide to states as an option in the criterion is the derivation of a site-specific criterion that takes into account the sensitivity of the macrobenthos in the receiving water to protect the receiving water's attainable uses (i.e., to protect the receiving water's macrobenthic communities), while protecting downstream waters through determination of the flow rate of the receiving water into the nearest fish-containing water and ensuring that the fish tissue standard is being met in the downstream fish populations. Such a criterion would ensure that both in-stream and downstream aquatic life are protected without arbitrarily assigning overly-protective water column-based limitations to permittees. We therefore again recommend deleting Footnote 3 as written, and instead including a provision for "fishless waters" that allows for the development of site-specific criteria that protect the attainable use of in-stream macrobenthos as well as downstream fish populations through application of the tissue-based criterion (see additional discussion in Section 3.6.1).
Concerning a related issue, we also note that EPA guidance limits the terms of compliance schedules to five years, as do many state permitting programs based on EPA's guidance. Because in some situations where selenium levels are being decreased based on the new criterion it may take longer than 5 years for corresponding fish tissue concentrations to decrease, NMA recommends including a provision in the criterion stating that longer compliance schedules may be needed with respect to bioaccumulants. Although again this could be considered an "implementation" issue, because it is a facet of the criterion that could directly conflict with existing state water quality programs - thereby limiting states' ability to adopt it - it is necessary to adopt language in the criterion itself that addresses this concern.
3.6.1 Recommendation for Invertebrate Tissue Criterion
In cases where fish populations are not present due to flow limitations the aquatic life to be protected are the macrobenthos. In EPA's analysis of invertebrate data, the most sensitive species had a GMCV of 24.2 mg Se/kg dw wb. All other effect concentrations for invertebrates for which chronic data were available were substantially higher than 24.2 mg/kg. Therefore, based on these data, an invertebrate Se tissue concentration of 24.2 mg/kg dw would be protective of these invertebrates and an appropriate tissue-based criterion for fishless waters.
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4. Other Issues and Considerations
The previous sections highlighted specific recommendations for revisions to the document and criteria. In this section we present other issues which we believe need reconsideration. While we may not have specific recommendations on these issues, we feel they do need to be reexamined to ensure the science supporting the decisions made to develop the Se criteria are solid.
4.1 Background Selenium Sources and Occurrences
EPA provides some discussion of Se sources in Section 3.1 of the 2014 draft selenium criteria document. EPA discusses natural Se deposits and highlights areas where Se deposits have been brought to the surface through mining activities and where irrigation in the western United States may cause leaching from high Se soils. However, in addition to human-induced/ irreversible activities that may contribute to elevated Se in surface waters, there are also natural processes that may leach Se into groundwater, and consequently into surface waters, that were not discussed in the draft criteria document. We provided more in depth information on this topic in our previous review (GEI 2014a).
4.1.1 Incorporation of Background Conditions into Site-specific Criteria
Appendix K of the 2015 draft Se criteria document, which describes methods for deriving site-specific criteria, does not discuss inclusion/consideration of data from reference or background sites. This is especially critical at sites with background levels of Se that would be considered elevated, comparatively speaking. In Appendix A, Examples 1-6 include calculation of site-specific criteria that includes background Se concentrations of 5.0 pg/L. Working through the calculation results in a site-specific water column criteria that are always lower than the original background concentration. It is unclear how these calculations could be applied to sites with naturally elevated background Se and result in a Se criterion that would be appropriate for that site.
As discussed in Section 4.1 of this review, ambient site-specific criteria may be appropriate in many parts of the country containing underlying geology with elevated Se levels. This naturally elevated Se may lead not only to elevated water concentrations, but also to naturally elevated fish tissue concentrations, resulting in the need for not only site-specific water column criteria but also a need for an approach that acknowledges there could be site-specific tissue criteria. In our previous review a more in depth discussion of this issue was provided along with specific examples (GEI 2014a).
GE
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4.2 Use of TRAP versus Other Statistical Methods
As mentioned previously, we continue to have some concern with the exclusive use of TRAP for determination of all ECio values used in criteria development. TRAP may work well with certain data sets, but may pose problems for analysis of others. We provided additional discussion of the potential issues in our previous review (GEI 2014a).
In many of the studies provided in the 2015 draft Se criteria document, the ECio values calculated by EPA differed from the original values determined by the study authors and those calculated by DeForest and Adams (2011). EPA should provide a list of all parameters and "Initial Guesses" on slopes used for analyses.
4.3 Additional Discussion of Tissue Criterion Elements
4.3.1 Conversion Factors
As part of our previous review, we conducted an evaluation of the conversion factors (CFs) developed by EPA in the 2014 draft Se criteria document wherein we reviewed all of the data used and corrected values where mistakes were found. A detailed evaluation of this issue is also presented by NAMC-SWG (2014).
In addition to reviewing EPA's data and calculations, we also compiled matched tissue data from studies conducted by GEI to supplement the CF database (GEI Appendix A, 2014). We also used the matched egg/ovary, whole-body, and muscle Se data provided in the 2014 draft Se criteria document, which was further updated by GEI as described above, and developed regression-based CFs (Table 9; GEI Appendix A). When the regression has a relatively high goodness of fit (i.e., when R2is at least 0.70), we recommend using the regression equation in place of the median (or geometric mean) ratios, as the regression better predicts tissue concentrations, particularly at the high and low ends of the spectrum. Where the strength of the regression is not as high (e.g., creek chub, Fathead Minnow, mountain whitefish), it may be more appropriate to use the median or geometric mean CF to represent the central tendency of the relationship. As shown in Section 3.3.2, we used the regression-based CFs where appropriate to translate the updated egg/ovary criterion database for these species to whole-body for the purposes of deriving the updated whole-body criterion. For the remaining species, we used the updated and new median ratio-based CFs.
4.4 Derivation of Water Column-based Criterion Elements
In Section 3.2 of the 2015 draft Se criteria document, EPA derives an equation to be used to translate the egg/ovary tissue criterion into a water column criterion. The result is Equation 18 on page 63:
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cw a te r
=
Cegg-ovary TTpcomposite xE F
XCF
Where:
Cwater
Cegg/ovary
TTFcomPsite EF CF
Concentration of selenium dissolved in water (ig/L) Selenium concentration in the eggs or ovaries of fish (pg/g) Product of all trophic transfer functions Enrichment function (L/g) Whole-body to egg/ovary conversion factor (dimensionless ratio)
There are several components of this equation that require further analysis and consideration.
4.4.1 Discussion of Trophic Transfer Functions (TTF)
4.4.1.1 Importance of Site-specific TTFs
Ranges of TTFs can vary widely due to site-specific factors. To demonstrate this in our previous review (GEI 2014a), we reviewed data in Appendix B of the 2014 draft Se criteria document and compiled information on the ranges of TTFs for each species with data derived from field studies. We also verified the median TTF values and found several errors in Tables 9 and 10 on pages 76 and 77 of the 2014 draft, these errors still remain in the 2015 draft and should be fixed. Additionally, we recalculated TTF's including additional data that were submitted for addition to the TTF database in our previous review, but were not incorporated in the 2015 draft. These values are included in Table 7 (below) and the corrections are shown in bold with the incorrect values shown as strikeouts.
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Table 7:
TTF median ratios from Table 3.10 and 3.11 in the 2015 draft Se criteria document and calculated ranges and geomean ratios. Italicized values are lab-based TTF values; other TTFs are from field data. Strikeouts indicate EPA calculation errors. Revised values and species added to the database are shown in bold. Invertebrate and fish groups are indicated with orange and blue shading, respectively.
Common Name
Scientific Name
TTF Median Ratio
C ru s ta c e a n s
Amphipod
Hyalella azteca
2 1 .0 6
Copepod
Copepods
1.41
Crayfish
Astacidae
1.46
W aterflea
Daphnia magna
0.74
Insects
Dragonfly
Anisoptera
7 0.89
Damselfly
Coenagrionidae
2-88 1.30
Mayfly
Centroptilum triangulifer
2.38
Midge
C hiro n o m id a e
1.90
W ater boatman
Corixidae
1.48
M ollusks
Asian clam
Corbicula fluminea
4.58
Zebra mussel
Dreissena polymorpha
4.00
A nnelids
Blackworm
Lumbriculus variegatus
1.29
O th e r
Zooplankton
Zooplankton
2.01
Bluehead sucker
Catostomus discobolus
1.04
C ypriniform es
Common Carp
Cyprinus carpio
1.29
Creek Chub
Semotilus atromaculatus
1.02
Red Shiner
Cyprinella lutrensis
1.34
Redside Shiner
Richardsonius balteatus
0.77
Fathead Minnow
Pimephaies promelas
1.26
Flannelmouth Sucker
Catostomus latipinnis
1.06
Longnose Sucker
Catostomus catostomus
0.90
Sand Shiner
Notropis stramineus
1.60
Blacknose Dace
Rhinichthys atratulus
0.71
White Sucker
Catostomus commersonii
1.04
Cyprinodonti formes
Mosquitofish
Gambusia sp.
0.97
Northern Plains Killifish
Fundulus kansae
1.27
Western Mosquitofish
Gambusia affinis
1.25
Esociformes
Northern Pike
Esox lucius
2.04
G asterosteilorm es
Brook Stickleback
Culaea inconstans
1.79
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4.4.1.2 Use of Composite TTFs
The composite TTF is the product of the TTFs that represent dietary pathways of Se exposure for a given species within an aquatic system. As we commented in our previous review, the TTFcomposite approach would require prey item-specific consumption rate/frequency data (ideally site-specific) to best characterize exposure. Species-and sitespecific dietary preference data are likely not available for many combinations of organisms. In those scenarios, assumptions will need to be made for each prey item, introducing additional and potentially unrealistic uncertainty to derive a TTF composite value.
For more accurate analysis of a specific aquatic system, the best approach is to collect and analyze tissue and water samples to measure actual Se concentrations rather than making assumptions and using highly uncertain composite TTFs.
4.4.2 Enrichment Factors (EF)
Pages 74 of the 2015 draft Se criteria document state that "The single most influential step in selenium bioaccumulation occurs at the base of the aquatic food webs (Chapman et al. 2010)" and "The availability of selenium measurements from particulate material was limited." Given these statements and how critical it is to generate valid Enrichment Factors (EF), EPA should consider inclusion of an uncertainty discussion related to the particulate material Se data and how representative the calculated EF values may (or may not) be to all sites. Additional data to add to the EF database from GEI studies are were included in Appendix A of our previous review. These additional data were not incorporated into the 2015 draft; therefore, calculated EF values for GEI studies are shown in Appendix A.
4.4.3 Classification of Aquatic Systems - Lotic vs. Lentic
It is known that bioaccumulation of Se is significantly different in lentic and lotic systems (Adams et al. 2000). EPA differentiates between system types using EFs and residence time. As discussed in our previous review, this makes sense in theory, however, the resulting data have substantial overlap, indicating the differences are not that clear. It would be more appropriate to develop site-specific criteria rather than create artificial groupings of waterbody types that mask the site-specific differences so important to ensuring attainment of the tissue criterion.
4.5 Site-specific Criteria
4.5.1 Deriving Site-specific Water Concentration Values from the Egg/Ovary Criterion
Appendix K of the 2015 draft Se criteria document describes a methodology to derive sitespecific criteria using a mechanistic modeling approach. However, Appendix K seems to simply be a more detailed presentation of information presented in the main text. It does not
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describe the process or data requirements that a state or tribe would need to follow/generate in order to have their site-specific criteria considered by EPA. In our previous review we discussed several questions and concerns that should be addressed to enable states and tribes to appropriately develop site-specific criteria (GEI 2014a).
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5. Conclusions
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Overall, the 2015 draft Se criteria document, including the tissue-based criteria approach, is a significant improvement over the 2004 draft criteria document. We strongly support EPA's decision to develop tissue-based Se criteria that are toxicologically and ecologically relevant. While we support the overall approach and core of the 2015 draft Se criteria document, we have several recommended revisions and considerations that, if considered by EPA, could significantly improve the scientific validity of the document and resulting Se criteria.
5.1 Rvaluation of Acceptable Studies
We reviewed all of the reproductive toxicity study data deemed acceptable by EPA in the 2015 draft Se criteria document. Data were presented for ten fish genera. Overall, we concur with most of the data usage decisions made by EPA, but have comments and suggestions on some of the data that were used to develop the egg/ovary chronic criterion (and subsequently, the whole-body and muscle criteria).
Specifically, we had comments on usage of specific White Sturgeon, Bluegill and Brown Trout data in the criteria calculations.
* White Sturgeon - We recommend using the geometric mean of all the EC 10s calculated by EPA, as the goodness-of-fit is equal for all curves, therefore all EC 10s are equally appropriate. The recommended egg/ovary ECio value, which is equivalent to the SMCV, is 17.8 mg/kg.
a Bluegill - We have concerns about the data used from the Hermanutz et al. (1992, 1996) studies. We recommend rejecting data from all Hermanutz studies. Using only data from the other two studies, the updated Bluegill egg/ovary GMCV is 22.57 mg/kg, with an accompanying whole-body value of 10.58 mg/kg using regression-based CF.
a Brown Trout - We recommend using the Brown Trout ECio calculated under the "optimistic'Vrealistic assumption for dealing with the lab accident that resulted in loss of study organisms in the Formation Environmental (2011) study. The recommended ECio value, which is equivalent to the SMCV, is 21.16 mg/kg, with an accompanying whole-body value of 14.59 mg/kg based on updated CFs.
a We developed regression-based CFs for translating between egg/ovary and wholebody. When the regression relationship is strong, we recommend using regressionbased CFs instead of median ratio-based CFs.
GE
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Incorporation of these suggested changes results in updated egg/ovary, whole-body, and muscle chronic criteria that are even more scientifically defensible and consistent with EPA's other data-usage decisions (Table 13).
5.2 Other Considerations
As stated in our review of the 2014 criteria document (GEI 2014b), we agree that any fish tissue collected is representative of accumulation over time and could be considered an "instantaneous" measurement of the current conditions. However, we believe the use of the term "instantaneous" leads to some confusion regarding the tissue sampling requirements. We support the thorough discussion of this topic in the NAMC-SWG 2014 review and agree that there will be natural variability in the tissue samples collected, and a single sample may be over- or under-representative of site conditions. The best way to represent environmental conditions is to average the tissue samples in some manner. We recommend replacing "instantaneous" with "seasonal average" in the tissue criterion requirements.
Another issue that requires rvaluation and clarification is how to establish criteria for streams with no existing fish populations. The default approach is to use water-column criteria; however, an alternative states could be provided is the use of the chronic invertebrate data provided by EPA to develop invertebrate tissue-based site-specific criterion and associated protective water-column criteria.
Another topic that needs further consideration is the use of natural background Se concentrations to develop ambient based site-specific criteria. We have provided discussion of how this has been successfully done in Colorado in our previous review (GEI 2014a), and how it should be considered on a case-by-case basis nationwide. EPA's discussion of sitespecific standard development is lacking and needs further clarification.
Finally, we have also provided additional field data for CFs, trophic transfer functions, and enrichment factors for EPA to incorporate and improve their database (GEI 2014a, Appendix A).
5.3 Discussion of Final Criterion
As stated above, we strongly support EPA's decision to develop tissue-based Se criteria that are toxicologically and ecologically relevant. The tissue-based criteria, including our recommended modifications and updates, reflect the best science and are protective of fish.
EPA also derived nationwide lentic and lotie water column-based criteria to supplement the tissue-based criteria. However, as discussed in Section 3.3 it is not possible or appropriate to derive a single nationwide standard for water column-based criteria for only two water body types (lentic or lotie), and such an effort is not supported by EPA's own analysis. While we agree that use of Equation 18 or other approaches could be used to translate a water column criterion from the egg/ovary criterion, this type of modeling should only be done with the
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appropriate site-specific data and not rely on default generalized model parameters. In addition, as noted earlier, we strongly urge EPA to evaluate direct use of tissue-based criteria in NPDES permitting, which would obviate the need for the back-calculation to a water value, thus eliminating the potential errors and uncertainty that arise in such calculations.
Regarding implementation of the tissue-based criteria, the use of "never to be exceeded" frequency is inappropriate and not in line with standard criteria attainment requirements. We recommend clarification of tissue sampling requirements and use of an alternative approach such as the geometric mean of samples collected, with an allowable exceedance frequency of no more than once every 3 years on average.
Based on the results of our analysis, we recommend updating the proposed egg/ovary, wholebody, and muscle chronic criteria to include our suggested changes (Table 8). In addition, because nationwide water column-based criteria cannot not be derived reliably, we advise EPA to only recommend water column-based criteria be developed on a site/state/regionspecific basis (Table 8).
Table 8: Revision of Table 4.1 from the 2015 draft Se criteria document, including our revisions and recommendations.
Criterion Element
Eg g/Ovary1
M a g n itu d e 4
17.9 me /kg
Fish Whole-Body or Muscle2
Monthly Average Exposure
9.5 mg/kg whole-body or
12.0 mg/kg muscle
n/a
(skinless, boneless filet)
Intermittent Exposure
Site-specific
Duration
Season al average
Seasonal average
30 days
Site-specific
Frequency
Not mor e than once in Not more than once in 3 Not more than once in
3 years on average years on average
3 years on average
Site-specific
1 Overrides any whole-body, muscle, or water column elements when fish egg/ovary concentrations are measured. 2 Overrides any water column element when both fish tissue and water concentrations are measured. 3 Water column values are based on dissolved selenium in water. 4 Magnitude is the geometric mean of tissue samples collected.
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6. References
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Adams, W.J., J.E. Toll, K.V. Brix, L.M. Tear and D.K. DeForest. 2000. Site-specific approach for setting water quality criteria for selenium: differences between lotic and lentic systems. Proceedings Mine Reclamation Symposium: Selenium Session; Sponsored by Ministry of Energy and Mines, Williams Lake, British Columbia, Canada, June 21-22, 2000.
Brix, K and D. De Forest. 2008. Selenium. In: Relevance of ambient water quality criteria in ephemeral and effluent-dependent watercourses of the arid western US (Gensemer RW, Meyerhoff RD, Ramage KJ, Curely EF, eds.). Pensacola, FL:SETAC Press, pp. 123-172.
Carolina Power & Light (CP&L). 1997. Largemouth Bass Selenium Bioassay- Report. Carolina Power & Light Company, Environmental Services Section, NC. December 1997.
Chapman P.M., W.J. Adams, M L. Brooks, C.G. Delos, S.N. Luoma, W.A Maher, FLM. Ohlendorf, T.S. Presser, and D P. Shaw. 2009. Ecological Assessment of Selenium in the Aquatic Environment: Summary of a SETAC Pellston Workshop. Pensacola FL (USA): Society of Environmental Toxicology and Chemistry (SETAC).
Chapman P.M., W.J. Adams, M L. Brooks, C.G. Delos, S.N. Luoma, W.A Maher, FLM. Ohlendorf, T.S. Presser, and D P. Shaw (eds). 2010. Ecological Assessment of Selenium in the Aquatic Environment. SETAC Press, Pensacola, FL, USA.
Coyle, J.J., D.R. Buckler, C.G. Ingersoll, J.F. Fairchild, and T.W. May. 1993. Effect of dietary selenium on the reproductive success of bluegills Lepomis macrochirus. Environmental Toxicology and Chemistry 12(3):551-565.
DeForest D.K., and W.J. Adams. 2011. Selenium accumulation and toxicity in freshwater fishes, pp. 193-229. In: Beyer, W. N., and J. P. Meador, editors. Environmental contaminants in biota: interpreting tissue concentrations. 2nd edition. Boca Raton (FL, USA): Taylor and Francis.
DeForest, D.K., S. Pargee, C. Claytor, S. Canton and K. Brix. In press. Biokinetic food chain modeling of waterborne selenium pulses into aquatic food chains: implications for water quality criteria. Integrated Environmental Assessment andManagement.
Doroshov, S., J.V. Eenennaam, C. Alexander, E. Hallen, H. Bailey, K. Kroll, and C. Restreppo. 1992. Development of water quality criteria for resident aquatic species of the San Joaquin River. Draft final report to the California State Water Resources
References 28
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Control Board for Contract No. 7-197-250-0. Department of Animal Science, University of California, Davis, CA.
Formation Environmental. 2011. Yellowstone cutthroat trout laboratory reproduction studies conducted in support of development of a site-specific selenium criterion. Draft. Prepared for J.R. Simplot Company. Pocatello (ID): Smoky Canyon Mine.
GEI Consultants, Inc. (GEI). 2007. Aquatic Biological Monitoring and Selenium Investigation of the Arkansas River, Fountain Creek, Wildhorse Creek, and the St. Charles River. Prepared for City of Pueblo WRP.
GEI Consultants, Inc. (GEI). 2008. Maternal transfer of selenium in fathead minnows, with modeling of ovary tissue to whole body concentrations. Project 062790. Chadwick Ecological Division, Littleton, CO.
GEI Consultants, Inc. (GEI). 2013a. Use Attainability Analysis for the St. Charles River, Middle Arkansas River Segment 6, Colorado. Prepared for Public Service Company of Colorado.
GEI Consultants, Inc. (GEI). 2013b. Bioassessment of the Streams in the Vicinity of the Catenary and Hobet Mine Complexes, West Virginia. Prepared for Patriot Coal Corporation.
GEI Consultants, Inc. (GEI). 2014a. Review of EPA 2014 draft Se criteria document EPA 822-P-14-001. Submitted to Docket ID EPA-HQ-OW-2004-0019.
GEI Consultants, Inc. (GEI). 2014b. Supplemental comments on EPA 2014 draft Se criteria document EPA 822-P-14-001. Submitted to Docket ID EPA-HQ-OW-2004-0019.
GEI Consultants, Inc. (GEI). 2014c. Use-Attainability Analysis for Selected Tributaries to the Yampa River, Routt County, Colorado. Prepared for Seneca Coal Company, Peabody Sage Creek Mine, LLC and Twentymile Coal, LLC.
Hermanutz, R.O., K.N. Allen, T.H. Roush, and S.F. Hedtke. 1992. Effects of elevated Se concentrations on bluegills (Lepomis macrochirus) in outdoor experimental streams. Environmental Toxicology and Chemistry 11:217-224.
Hermanutz, R.O., K.N. Allen, N.E. Detenbeck, and C.E. Stephan. 1996. Exposure of bluegill {Lepomis macrochirus) to selenium in outdoor experimental streams. U.S. EPA Report. Mid-Continent Ecology Division. Duluth, MN.
Janz, D M. 2008. A critical evaluation of winter stress syndrome. In Selenium tissue thresholds: Tissue selection criteria, threshold development endpoints, and potential to
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predict population or community effects in the field. Washington (DC, USA): North America Metals Council - Selenium Working Group.
Linville, R.G. 2006. Effects of Excess Selenium on the Health and Reproduction of White Sturgeon (Acipenser transmontanus): Implications for San Francisco Bay-Delta. Dissertaiton. University of California at Davis.
North American Metals Council-Selenium Working Group (NAMC-SWG). 2014. Comments of the North American Metals Council-Selenium Working Group in Response to EPA's Draft National Recommended Aquatic Life Criterion for the Pollutant Selenium. Submitted to Docket ID EPA-HQ-OW-2004-0019.
Stephan, C.E., D.I. Mount, D.J. Hansen, J.H. Gentile, G.A. Chapman, and W.A. Brungs. 1985. Guidelines for Deriving Numerical National Water Quality Criteria for the Protection of Aquatic Organisms and Their Uses. PB85-227049. National Technical Information Service, Springfield, VA.
U S. Environmental Protection Agency (EPA). 2004. Draft Aquatic Life Water Quality Criteria for Selenium - 2004. EPA-822-D-04-001. Office of Water, Washington, DC.
U.S. Environmental Protection Agency (EPA). 2014. External Peer Review Draft Aquatic Life Ambient Water Quality Criterion for Selenium - Freshwater 2014. EPA 822-P-14-001. Office of Water 4304T, Washington, D C.
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Appendix A Supplemental Data
/*-* o
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Revised EPA Table 3.11 with updated TTFs from Table B-7 using additional data provided by GEI
Common Name
Bluehead Sucker Longnose Sucker White Sucker Flannelmouth Sucker Common Carp Red Shiner* Redside Shiner* Creek Chub Fathead Minnow Sand Shiner Blacknose Dace*
Mosquitofish Western Mosquitofish Northern Plains Killifish
Northern Pike
Brook Stickleback
Black Crappie Bluegill Green Sunfish Largemouth Bass Smallmouth Bass* Striped Bass W alleye Yellow Perch
Scientific Name C yprin ifo rm es
Catostomus discobolus Catostomus catostomus Catostomus commersonii Catostomus latipinnis Cyprinus carpio Cyprinella lutrensis Richardsonius balteatus Semotilus atromaculatus
Pimephales promelas Notropis stramineus Rhinichthys atratulus
C yp rin o d o n tifo rm e s Gambusia sp. Gambusia affinis Fundulus kansae
Esociformes Esox lucius
G a s te ro s te ifo rm e s Culaea inconstans
Perciformes Pomoxis nigromaculatus Lepomis macrochirus Lepomis cyanellus
Micropterus salmoides Micropterus dolomieu Morone saxatilis Sander vitreus Perea fiavescens
AE
IR
ke
TTF
-
-
-
1 .0 4
-
-
-
0 .9
4,4
-
-
-
1.0 4
-
-
-
1.0 6
1.34
-
-
-
1.2 9
-
-
-
1.3 4
-
-
-
0 .7 7
445
-
-
-
1.0 2
1.57
-
-
-
1.2 6
-
-
-
4-rS 1 .6
-
-
-
0 .7 1
G:@
-
-
-
0 .9 7
-
-
-
1 .2 5
-
-
-
1.2 7
-
-
-
2 .0 4
1 69
-
-
-
1.7 9
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
0.375 0.335 0.085
-
-
-
-
-
-
2 .6 7
1.4 8
4,-27-
1.1 2 1 97 1 .4 1
0.83
1.4 8
1.8 2
1.4 2
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Common Name
Scientific Name Sal mon formes
Brook Trout
Salvelinus fontinalis
Brown Trout Mountain Whitefish Cutthroat Trout Rainbow Trout Westslope Cutthroat Trout
Mottled Sculpin Sculpin
Salmo trutta Prosopium williamsoni Oncorhynchus clarkii Oncorhynchus mykiss Oncorhynchus clarkii lewisi
Scorpaen formes Cottus bairdi Cottus sp.
S ilu rifo rm es
Black Bullhead
Ameiurus mlas
Channel Catfish
Ictalurus punctatus
Notes: * Additional species added to the database
AE
IR
ke
TTF
0^8-
-
-
-
0.97
-
-
-
1.44
-
-
-
1.38
-
-
-
1.07
-
-
-
1.19
-
-
-
1.2
-
-
-
1.38
-
-
-
1.29
0,-94-
-
-
-
0.87
-
-
-
0.73
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Revised EPA Table 3.12 with updated conversion factors for use in back calculating w ater column vaues using additional data provided by GEI
Common Name
Scientific Name
E/O to WB CF Median Ratio
A cip enserifo rm es
White Sturgeon
Acipenser transmontanus
1.69
Cyprin formes
Bluehead Sucker
Catostomus discobolus
1.82
Flannelmouth Sucker Catostomus latipinnis
1.41
White Sucker
Catostomus commersonii
4,44-1.38
Common Carp
Cyprinus carpio
1.92
Razorback Sucker
Xyrauchen texanus
4,42- 1.45
Roundtail Chub
Gila robusta
2.07
Fathead Minnow*
Pimephales prom elas
1.4
Creek Chub*
Semotilus atromaculatus
1.99
Esoc formes
Northern Pike
Esox lucius
2-49 2.41
Perciformes
Bluegill
Lepomis macrochirus
2.13
Green Sunfish
Lepomis cyan ellus
1.45
Smallmouth Bass
Micropterus dolomieu
1.42
S alm o n ifo rm e s
Brook Trout
Salvelinus fontinalis
449-1.4
Dolly Varden
Salvelinus malma
1.61
Brown Trout
Salmo trutta
1.45
Rainbow Trout
Oncorhynchus mykiss
2 4 4 2.46
Cutthroat Trout
Oncorhynchus clarkii
2r30 2.32
Mountain Whitefish
Prosopium william soni
7--3& 7.42
Notes: * Additional species added to the database.
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Supplemental Data | A-3
ED 002061 00106880-00040
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Revised EPA Table 3.13 (lotic data only) with CFs, TTFs and revised back calculated w ater column values using updated values from Tables 3.11 and 3.12, and Including additional GEI data
Reference
Site
Species
Site Type
EFa
CFb
f f pcomposite-c
Cw a t e r 11
Butler et al. 1991
Uncompahgre River at Colona
Rainbow Trout
Lotic
0.63
4 4 2.46
2.44
4,24 4.73
Butler et al. 1993
Spring Cr. at La Boca
Speckled Dace
Lotic
0.18
00-1.96
3 8 2.41
45-00-21.05
Butler et al. 1995
Hartman Draw near mouth, at Cortez
Fathead Minnow
Lotic
0.15
2 m 1.40
-73 2.69
4040-31.69
Butler et al. 1995
McElmo Cr. at Hwy. 160, near Cortez
Speckled Dace
Lotic
0.90
2,-00-1.96
2,-73 2.41
34-6 4.21
Butler et al. 1995
McElmo Cr. downstream from Alkali Cyn.
Speckled Dace
Lotic
0.37
2-00-1.96
2478 2.41
3 3 3 10.24
Butler et al. 1995
McElmo Cr. downstream from Yellow Jacket Cyn.
Fathead Minnow
Lotic
0.12
0 0 1.40
3 7 2.69
4 3 0 39.61
Butler et al. 1995
McElmo Cr.upstream from Yellow Jacket Cyn.
Speckled Dace
Lotic
0.10
2:00-1.96
2.78 2.41
29,-73 37.89
Butler et al. 1995
Navajo Wash near Towaoc
Speckled Dace
Lotic
0.20
00-1.96
2,-78 2.41
1-4,62- 18.95
Butler et al. 1995
San Juan River at Four Comers
Speckled Dace
Lotic
0.26
00-1.96
3 8 2.41
4 0 0 6 14.57
Butler et al. 1995
San Juan River at Mexican Hat Utah
Common Carp
Lotic
0.29
1.92
4 3 0 1.64
40732 19.60
Butler et al. 1995 Butler et al. 1997
Woods Cyn. Near Yellow Jacket Cahone Canyon at Highway 666
Fathead Minnow Green Sunfish
Lotic Lotic
0.40 0.20
2,-00 1.40 1.45
2,-77- 2.69 2,44 2.16
3,-06 11.88 2.2,84 28.58
Butler et al. 1997
Mud Creek at Highway 32, near Cortez
Fathead Minnow
Lotic
0.07
O 1.40
3 7 2.69
40,-60-67.90
Casey 2005
Deerlick Creek
Rainbow Trout
Lotic
2.24
4 4 2.46
2.44
4340 1.33
Casey 2005
Luscar Creek
Rainbow Trout
Lotic
0.33
4 4 2.46
2.44
8,46 9.04
GEI 2013*
GC-1
Red Shiner
Lotic
0.88
1.96
2.33
4.44
GEI 2013*
SC-1
Fathead Minnow
Lotic
0.96
1.4
2.69
4.98
GEI 2013*
SC-2
Red Shiner
Lotic
0.50
1.96
2.33
7.83
GEI 2013*
SC-3
Red Shiner
Lotic
0.52
1.96
2.33
7.535
GEI 2013*
SC-4
Sand Shiner
Lotic
0.67
1.96
2.48
5.46
GEI 2013*
SC-6
Red Shiner
Lotic
0.06
1.96
2.33
67.67
GEI 2013*
SC-8
Fathead Minnow
Lotic
0.21
1.4
2.69
22.32
GEI 2013*
SC-9
Red Shiner
Lotic
0.33
1.96
2.33
11.83
Formation 2012
Crow Creek - 1A
Sculpin
Lotic
0.80
4460 1.69
2.80
433-4.73
Formation 2012
Crow Creek - 3A
Sculpin
Lotic
0.81
4460 1.69
2.82
4 0 4 4.64
Formation 2012
Crow Creek - CC150
Sculpin
Lotic
1.04
4,-60 1.69
2.69
3:46 3.79
Formation 2012
Crow Creek - CC350
Sculpin
Lotic
1.16
4 0 3 1.69
2.75
3r3.32
Formation 2012
Crow Creek - CC75
Sculpin
Lotic
1.19
4 3 3 1.69
2.63
6 0 3.38
Formation 2012
Deer Creek
Sculpin
Lotic
1.55
4463 1.69
2.68
2730 2.55
GEI Consultants, Inc.
Supplemental Data | A-4
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
ED 002061 00106880-00041
Reference
Site
Formation 2012
Hoopes Spring - HS
Formation 2012
Hoopes Spring - HS3
Formation 2012
Sage Creek - LSV2C
Formation 2012
Sage Creek - LSV4
Formation 2012
South Fork Tincup Cr.
Hamilton and Buhl 2004 lower East Mill Creek
GEI Unpublished*
C-BCR2
GEI Unpublished*
C-CC1
GEI Unpublished*
C-CC2
GEI Unpublished*
C-CF1
GEI Unpublished*
C-CLF1
GEI Unpublished*
C-CLF2
GEI Unpublished*
C-HC1
GEI Unpublished*
C-LF1
GEI Unpublished*
C-LFWOC1
GEI Unpublished*
C-LMF1
GEI Unpublished*
C-SC1
GEI Unpublished*
C-TF1
GEI Unpublished*
C-WOC1
GEI Unpublished*
H-BHC1
GEI Unpublished*
H-BHC2
GEI Unpublished*
H-BHC3
GEI Unpublished*
H-BLB1
GEI Unpublished*
H-BLB2
GEI Unpublished*
H-CC1
GEI Unpublished*
H-HC1
GEI Unpublished*
H-JSB1
GEI Unpublished*
H-LCR2
GEI Unpublished*
H-LF1
GEI Unpublished*
H-LKC1
GEI Unpublished*
H-MR1
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Species Sculpin Sculpin Sculpin Sculpin Sculpin Sculpin Green Sunfish Green Sunfish Green Sunfish Green Sunfish Green Sunfish Green Sunfish Creek Chub Creek Chub Longnose Dace Creek Chub Smallmouth Bass Green Sunfish Green Sunfish Green Sunfish Green Sunfish Green Sunfish Green Sunfish Creek Chub Green Sunfish Creek Chub Green Sunfish Bluegill Green Sunfish Creek Chub Green Sunfish
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Site Type Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie Lotie
EFa 0.24 0.54 0.45 0.69 1.32 1.32 0.76 0.64 0.54 1.48 0.65 0.80 0.78 0.07 0.06 0.53 0.50 0.30 0.09 0.28 0.29 0.24 0.37 0.36 0.42 0.89 3.97 0.62 0.49 0.33 0.13
CFb 4433-1.69 4433 1.69 4,-63 1.69 4 ^ 3 1.69 4433 1.69
1.96 1.45 1.45 1.45 1.45 1.45 1.45 1.99 1.99 1.96 1.99 1.42 1.45 1.45 1.45 1.45 1.45 1.45 1.99 1.45 1.99 1.45 2.13 1.45 1.99 1.45
yypcomposite-c
3.51 2.39 2.83 2.67 2.85
2 .0 2
2.16 2.16 2.16 2.16 2.16 2.16 1.4 1.4 2.41 1.4 2.36 2.16 2.16 2.16 2.16 2.16 2.16 1.4 2.16 1.4 2.16 2.85 2.16 1.4 2.16
Cw ater11 44323 12.57
3rS4 8.21 7:33 8.32 5424-5.75 2453 2.82 3,03 3.43
7.5 8.9 10.5 3.87 8.86 7.18 8.19 91.8 60.1 12.19 10.66 18.83 67.02 20.17 19.87 24.26 15.62 17.67 13.56 7.18 1.44 4.78 11.74 19.59 43.33
Supplemental Data | A-5
Tier 2
ED 002061 00106880-00042
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Reference
Site
Species
Site Type
EFa
GEI Unpublished*
H-MR2
Green Sunfish
Lotie
0 .1 5
GEI Unpublished*
H-MR3
Green Sunfish
Lotie
0.23
GEI Unpublished*
H-MR4
Green Sunfish
Lotie
0.77
GEI Unpublished*
H-SB1
Green Sunfish
Lotie
0.60
GEI Unpublished*
H-SF1
Green Sunfish
Lotie
0.32
GEI Unpublished*
H-SF2
Green Sunfish
Lotie
0 .4 0
Saiki and Lowe 1987
San Luis Drain
Western Mosquitofish
Lotie
0.36
Saiki and Lowe 1987
Volta W asteway
Western Mosquitofish
Lotie
1.03
Saiki et al. 1993
Mud Slough at Gun Club Road
Bluegill
Lotie
1.37
Saiki et al. 1993
Salt Slough at the San Luis National W ildlife Refuge
Bluegill
Lotie
0.43
Saiki et al. 1993
San Joaquin R. above Hills Ferry Road
Bluegill
Lotie
0.36
Saiki et al. 1993
San Joaquin R. at Durham Ferry State Recreation Area Bluegill
Lotie
0.75
GEI 2014c*
BC-3
Redside Shiner
Lotie
0.53
GEI 2014c*
CC-2
Creek Chub
Lotie
0.98
GEI 2014c*
DC-1
Creek Chub
Lotie
1.52
GEI 2014c*
DC-2
Brook Stickleback
Lotie
0.74
GEI 2014c*
DC-3
Brook Stickleback
Lotie
0.68
GEI 2014c*
GC-2
Creek Chub
Lotie
0.85
GEI 2014c*
GC-3
Creek Chub
Lotie
0.55
GEI 2014c*
HG-2
Creek Chub
Lotie
0.75
Notes: * Additional studies added to the database. * Geometric mean of the median enrichments functions (EF) for all available food types (algae, detritus, and sediment). EF (L/g) = Cfood/Cwater. b Taxa-specific conversion whole-body to egg ovary conversion factor (OF; dimensionless ratio). 0 Composite trophic transfer factor (TTFcomposite). Product of TTF values for all trophic levels. d Translated water concentration corresponding to a revised egg-ovary criterion element of 17.90 mg Se/kg dw (original criterion = 15.8 mg Se/kg dw).
CFb 1.45 1.45 1.45 1.45 1.45 1.45 4:63-1.69 4 - ^ 3 1.69 2.13 2.13 2.13 2.13 1.96 1.99 1.99 1.69 1.69 1.99 1.99 1.99
yypcomposite-c
2.16 2.16 2.16 2.16 2.16 2.16 2.46 2.46 2.12 2.12 2.12 2.12 1.73 1.4 1.4 2.38 2.38
1 .4
1.4 1.4
Cw ater11 38.99 24.88 7.43 9.6 17.69 14.4
4Q,.g4 11.96 3-412-4.18 2 S & 2 .8 9 8:43 9.22
9 4 ^ 11 .01
4438 5.29
10
6.56 4.22 6.05 6.52 7.53 11.73 8.58
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-6
ED 002061 00106880-00043
Revised EPA Table B-7 updated with additional GEI data
Common name
Scientific name
Alligator Gar
Atractosteus spatula
Black Bullhead Black Crappie Black Redhorse
Ameiurus me!as Pomoxis nigromaculatus Moxostoma duquesnei
Blacknose Dace Blue Catfish Bluegill Bluehead Sucker Brassy Minnow
Rhinichthys atratulus Ictalurus furcatus Lepomis macrochirus Catostomus discobolus Hybognathus hankinsoni
Brook Stickleback
Culaea inconstans
Brook Trout
Salvelinus fontinalis
Brown Bullhead Brown Trout Bullhead Chain Pickerel Channel Catfish Common Carp
Ameiurus nebulosus Salmo trutta
Esox niger Ictalurus punctatus Cyprinus carpio
Common Snook Crappie Creek Chub Cutthroat Trout Dolly Varden
Centropomus undeclmalis Pomoxis sp. Semotilus atromaculatus Oncorhynchus clarkii Salvelinus malma
Fathead Minnow
Pimephales prom elas
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Order Lepistosteiformes
Family Lepisosteidae
Genus Atractosteus
S ilu rifo rm e s Perciformes Cypriniformes
Ictaluridae Centrarchidae C atosto m id a e
Ameiurus Pomoxis Moxostoma
Cypriniformes S ilu rifo rm e s Perciformes Cypriniformes Cypriniformes
Cyprinidae Ictaluridae Centrarchidae C atosto m id a e Cyprinidae
Rhinichthys Ictalurus Lepomis C atostom us Hybognathus
Gasterosteiformes Gasterosteidae Culaea
S a lm oniform es
S alm onidae
Salvelinus
S ilurifo rm es S a lm oniform es S ilu rifo rm e s Esociformes S ilurifo rm es Cypriniformes
Ictaluridae S alm onidae Ictaluridae Esocidae Ictaluridae Cyprinidae
Ameiurus Salmo
Esox Ictalurus Cyprinus
Perciformes Perciformes Cypriniformes S a lm oniform es S alm o n iform e s
Centropomidae Centropomus
Centrarchidae Pomoxis
Cyprinidae
Semotilus
S alm onidae
Oncorhynchus
S alm onidae
Salvelinus
Cypriniformes
Cyprinidae
P im e p h ale s
TTF
4-2-7 1.26 0 9^ 0.87 2.67
Q5 1.04 4m 0.71 0.73
1.48
1.04 4-4 1.26 4m 1.79 o pa
0.97 Q-Q40.87 1.44 Q 02 0.80 2.04
0.73 4-34 1.29 4-4 1.45 2.67 1 12 1.02 1.07 0,8 0.97 ^57 1.52
TTF source data All fish
Exact match Exact match Family Catostomidae
Family-C-yf>rirri4ae Exact Match Genus Ictalurus Exact match Exact match
Family Cyprinidae
Exact match
Exact match
Genus Ameiurus Exact match
Family Ictaluridae Genus Esox Exact match Exact match
Order Perciformes Genus Pomoxis Exact match Exact match Genus Salvelinus
Exact match
Supplemental Data | A-7
Tier 2
ED 002061 00106880-00044
Common name Flannelmouth Sucker Flathead Catfish
Flathead Chub
Freshwater Drum
Gizzard Shad
Goldeye
Green Sunfish Iowa Darter Kokanee Salmon Largemouth Bass
Largescale Sucker Longnose Dace Longnose Sucker Mixed Mosquitofish Mottled Sculpin Mountain W hitefish Northern Pike Northern Pikeminnow Northern Plains Killifish Northern Redbelly Dace
Northern Squawfish
Quillback Rainbow Trout
Scientific name Catostomus latipinnis Pylodictis olivaris Platygobio gracilis Apiodinotus grunniens Dorosoma cepedianum Hiodon alosoides Lepomis cyanellus Etheostoma exile Oncorhynchus nerka Micropterus salmoides Catostomus macrocheilus Rhinichthys cataractae Catostomus catostomus
Gambusia sp. Cottus bairdi Prosopium williamsoni Esox lucius Ptychocheilus oregonensis Fundulus kansae Chrosomus eos Ptychocheilus oregonensis Carpiodes cyprinus Oncorhynchus mykiss
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Order Cypriniformes S ilu rifo rm e s Cypriniformes Perciformes C lu p e ifo rm e s Hiodontiformes Perciformes Perciformes S a lm oniform es Perciformes Cypriniformes Cypriniformes Cypriniformes
Family C atosto m id a e Ictaluridae
Genus Catostomus Pylodictus
Cyprinidae
Platygobio
Sciaenidae
Apiodinotus
Clupeidae
Dorosoma
Hiodontidae
Hiodon
Centrarchidae Percidae S alm onidae Centrarchidae
Lepomis Etheostoma Oncorhynchus Micropterus
Catostomidae Catostomus
Cyprinidae C atosto m id a e
Rhinichthys Catostomus
Cyprinodontiformes Poeciliidae
S co rp a e n ifo rm e s S a lm oniform es Esociformes
Cottidae S alm onidae Esocidae
Cypriniformes
Cyprinidae
Cyprinodontiformes Fundulidae
Cypriniformes
Cyprinidae
Cypriniformes
Cyprinidae
Cypriniformes S a lm oniform es
C atosto m id a e S alm onidae
G a m b u sia Cottus Prosopium Esox Ptychocheilus Fundulus Chrosomus
Ptychocheilus
Carpiodes Oncorhynchus
TTF
1.06 .-2 0.80 44 1.26 'j /|Q 1.45 44 1.26 1 27 1.26 1,-271.12 1.62
1.19 1.2? 1.41 1 05 1.04 1,4 1.26 0.90
0.87 0 86 0.97 1.38
1.38
2.04 74 1.26 1.27 4-4- 1.26
1.26 'j Q5 1.04 1.19
TTF source data Exact match
Family Ictaluridae
Family Cyprinidae
Order Perciformes
All fish
All fish
Exact match Family Percidae Genus Oncorhynchus
Exact match
Genus Catostomus Family Cyprinidae
Exact match Exact match Exact match Exact match Exact match Exact match Family Cyprinidae Exact match Family Cyprinidae
Family Cyprinidae
Family Catostomidae Exact match
Supplemental Data | A-8
Tier 2
ED 002061 00106880-00045
Common name Razorback Sucker Red Shiner Redbreast Sunfish Redear Sunfish Redside Shiner River Carpsucker River Redhorse Rock Bass Roundtail Chub Sacramento Perch Sacramento Pikeminnow Sailfin Molly Sand Shiner Sauger Sculpin Shadow Bass Shorthead Redhorse Silver Carp Smallmouth Bass Smallmouth Buffalo Speckled Dace
Scientific name Xyrauchen texanus Cyprinella lutrensis Lepomis auritus Lepomis microlophus Richardsonius balteatus Carpiodes carpio Moxostoma carinatum Ambloplites rupestris Gila robusta Archoplites interruptus Ptychocheilus grandis Poecilia latipinna Notropis stramineus Sander canadensis Cottus sp. Ambloplites ariommus Moxostoma macrolepidotum Hypophthalmichthys molitrix Micropterus dolomieu Ictiobus bubalus Rhinichthys osculus
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Order Cypriniformes
Family C atosto m id a e
Genus Xyrauchen
Cypriniformes
Cyprinidae
Cyprinella
Perciformes
Centrarchidae Lepomis
Perciformes
Centrarchidae Lepomis
Cypriniformes
Cyprinidae
Richardsonius
Cypriniformes
Catostomidae Carpiodes
Cypriniformes
Catostomidae Moxostoma
Perciformes
Centrarchidae Ambloplites
Cypriniformes
Cyprinidae
Gila
Perciformes
Centrarchidae Archoplites
Cypriniformes
Cyprinidae
Ptychocheilus
Cyprinodontiformes Poeciliidae
Poecilia
Cypriniformes Perciformes S co rp a e n ifo rm e s Perciformes
Cyprinidae Percidae Cottidae Centrarchidae
Notropis Sander Cottus A m b lo p lite s
Cypriniformes
Catostomidae Moxostoma
Cypriniformes
Cyprinidae
H ypop hth a lm ich th ys
Perciformes
Centrarchidae Micropterus
Cypriniformes
Catostomidae Ictiobus
Cypriniformes
Cyprinidae
Rhinichthys
TTF -j Q5
1.04 476 1.34 1-.-3-71.30 477 1.30 1 46 0.77 1 05
1.04 1 05 1.04 4 7 -8 1.41 4 ,4 6 1.26 471 1.41 478 1.26 4-Q0
1.11 "I '33
1.60
1.82
1.29
478 1.41 1 06 1.04 47 1.26 4.-27 0.83 -j Q5
1.04 4 7 -6 1.26
TTF source data Family Catostomidae F a m ily -Q -ypriftiae Exact Match
Genus Lepomis Genus Lepomis Fam ily-C -yf>rini4ae Exact Match Family Catostomidae Family Catostomidae Family Centrarchidae Family Cyprinidae Family Centrarchidae Family Cyprinidae Family Poeciliidae
Exact match Genus Sander
Exact match Family Centrarchidae Family Catostomidae
Family Cyprinidae G enys-M ier-op-teru-s -Exact
Match Family Catostomidae
Family Cyprinidae
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-9
ED 002061 00106880-00046
Common name Spotted Bass Spotted Gar Stonecat Striped Bass Striped Mullet Sucker Sunfish Species Tilapia Trout Species Tui Chub Utah Sucker W alleye Western Mosquitofish Westslope Cutthroat Trout White Bass White Crappie White Sturgeon White Sucker W iper Yellow Perch
Scientific name Micropterus punctulatus Lepisosteus oculatus Noturus flavus Morone saxatilis Mugil cephalus
Oncorhynchus sp. Gila bicolor Catostomus ardens Sander vitreus Gambusia affinis Oncorhynchus ciarkii lewisi Morone chrysops Pomoxis annularis Acipenser transmontanus Catostomus commersonii Morone chrysops x Moron saxatilis Perea flavescens
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Order Perciformes
Family Centrarchidae
Genus Micropterus
Lepistosteiformes Lepisosteidae Lepisosteus
S ilurifo rm es
Ictaluridae
Noturus
Perciformes
Moronidae
Morone
Mugiliformes
Mugilidae
Mugil
Cypriniformes Perciformes Perciformes S a lm oniform es Cypriniformes
C atosto m id a e Centrarchidae Cichlidae S alm onidae Cyprinidae
Oncorhynchus Gila
Cypriniformes
C atosto m id a e
Perciformes C yp rin o d o n tifo rm e s S alm o n iform e s
Percidae Poeciliidae S alm onidae
Perciformes
Moronidae
Perciformes
Centrarchidae
Acipenseriformes Acipenseridae
Catostomus Sander G a m b u sia Oncorhynchus Morone Pomoxis Acipenser
Cypriniformes
Catostomidae Catostomus
Perciformes Perciformes
Moronidae Percidae
Morone Perea
TTF
44? 1.12 1 27 1.26 0.82 0.80 T48 1.45 4,2-7 1.26 1 05 1.04
2.00
T48 1.45
1.19
1 46 1.26 -| 05 1.04
1.82
1.25
1.20
4,48 1.45
2.67
1,-271.26 748 1.04 4,-48 1.45
1.42
TTF source data Genus Micropterus
All fish Family Ictaluridae Order Perciformes
All fish Family Catostomidae
Exact match Order Perciformes Genus Oncorhynchus Family Cyprinidae Genus Catostomus
Exact match Exact match Exact match Order Perciformes Genus Pomoxis
All fish Exact match Order Perciformes Exact match
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-10
ED 002061 00106880-00047
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Specific Columns from EPA Table B-8 with revised TTF values using additional GEI data
Reference
Site Description
Site ID
Target Fish Species Common
Name
Effective TTF
Default
Black Bullhead
2.03
Default
Black Crappie
1.93
Default
Blacknose Dace
1.78
Default
Blue Catfish
2.11
Default
Bluegill
1.93
Default
Bluehead Sucker
1.16
Default
Brassy Minnow
1.28
Default
Brook Stickleb Ack
1.33
Default
Brook Trout
2.09
Default
Brown Bullhead
2.05
Default
Brown Trout
1.73
Default
Bullhead
2.05
Default
Channel Catfish
1.86
Default
Common Carp
1.27
Default
Crappie
1.93
Default
Creek Chub
1.37
Default
Cutthroat Trout
1.89
Default
Fathead Minnow
1.77
Default
Flannel Mouth Sucker 1.55
Default
Flathead Chub
1.91
Default
Freshwater Drum
1.86
Default
Gizzard Shad
1.00
Default
Goldeye
1.74
Default
Green Sunfish
1.93
Default
Iowa Darter
1.90
Default
Kokanee Salmon
1.56
Default
Largemouth Bass
1.79
Default
Longnose Dace
1.91
Default
Longnose Sucker
1.41
Default
Mixed
1.41
Default
Mosquitofish
1.96
Default
Mottled Sculpin
1.92
Default
Mountain W hitefis H 2.11
Default
Northern Pike
1.79
Default Default Default
Northern Plains Killifish Northern Redbelly Dace Northern Squawfish
1.91 1.28 1.87
Default
Rainbow Trout
2.05
Default
Red Shiner
1.74
Default
Redside Shiner
2.25
Default
River Carpsucker
1.10
Target Fish TFF
044- 0.87 2.67 4 4 6 0.71 0.73 1.48 1.04 4-.-46~1.26 4-66 1.79 6 6 3 0.97 Q-,-94- 0.87 1.44 a m 0.8 0.73 4.-34 1.29 2.67 4-4-2-1.02 1.07 4,6-7-1.52 1.06 4 4 6 1.26 4 4 6 1.45 1 27 1.26 4-43 1.26 4 4 3 1.12 1.62 1.19 4 4 3 1.41 4 4 6 1.26 0.90 0.87 066-0.97 1.38 1.38 2.04 1.27
TFF C om p o site 466-1.77 5.14 266-1.26 1.53 2.85 1.21 4,36 1.61 246-2.38 4 6 6 2.03 4 6 3 1.78 2.49 4-63 1.64 1.35 4,70 1.64 5.14 4 6 3 1.40 2 6 2 2.02 2,-77 2.69 1.64 2 6 6 2.41 2,76 2.70 4,2-7 1.26 240-2.19 2 4 4 2.16 3.08 1.85 2 4 7 2.52 2 4 6 2.41 1.27 1.23 4 6 6 1.90 2.65 2.9 3.66 2.44
4 -.46 1.26
1-4-7 1.61
4 4 6 1.26 1.19 4 4 6 1.34 446-0.77 446-1.04
2 7 3 2.36 2.44 2,63 2.33 3 4 3 1.73 4 4 6 1.14
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-11
ED 002061 00106880-00048
Reference Default Default Default Default Default Default Default Default Default Default Default Default Default Default Default Default Default Default
Default
Default Default Default Default Default Default Saiki et al. 1993 Saiki et al. 1993 Saiki et al. 1993 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012
Site Description
Crow Creek - CC150 Crow Creek - CC150 Crow Creek - 1A Crow Creek - 1A Crow Creek - CC350 Crow Creek - CC350 Crow Creek - 3A Crow Creek - 3A Crow Creek - CC75 Crow Creek - CC75 Deer Creek Deer Creek Hoopes Spring - HS Hoopes Spring - HS
Site ID
C C -150 C C -150 C C - 1A C C - 1A CC- 350 CC- 350 CC- 3A CC- 3A CC- 75 CC- 75 D C -600 D C -600 HS HS
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Target Fish Species Common
Name Roundtail Chub Sacramento Perch Sailfin Molly Sand Shiner Sauger Sculpin Shorthead Redhorse Smallmouth Bass Speckled Dace Stonecat Sucker Sunfish Species Tilapia Trout Species Tui Chub Utah Sucker W alleye Western Mosquitofish Westslope Cutthroat Trout White Bass White Crappie White Sturgeon White Sucker W iper Yellow Perch Bluegill Largemouth Bass Western Mosquitofish Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin
Effective TTF
2.30 1.29 1.29 1.55 1.73 1.99 1.41 1.86 1.91 1.60 1.20 1.92 1.20 1.97 1.45 1.20 1.76 1.96
Target Fish TFF
4 8 5 1.26 4-48-1.41 4 8 8 1.11 1 83 1.60 1.82 1.29 4,05-1.04 1.27 4 8 8 1.26 0.82 1 05 1.04 2.00 4-48 1.45 1.19 4,46 1.26 4,05 1.04 1.82 1.25
TFF C om p o site 8 8 5 2.90 4-80 1.82 4-88 1.43 2,84-2.48 3.16 2.57 4,-48 1.47 2.35 288-2.41 1.31 1,2-7-1.25 3.84 4 8 8 1.74 2.34 2 12 1.83 4 8 7 1.25 3.21 2.46
1.91
1.20
2.29
1.86 1.93 2.00 1.43 1.72 1.65 1.43 1.21 1.74 2.08 2.08 2.16 2.16 2.13 2.13 2.19 2.19 2.04 2.04 2.08 2.08 2.72 2.72
4018 1.45 2.67 4-457 1.26 40-8 1.04 4,48 1.45 1.42 1.48 1.27 1.25 1.44 1.29 1.44 1.29 1.44 1.29 1.44 1.29 1.44 1.29 1.44 1.29 1.44 1.29
2,76 2.70 5.14 2 8 8 2.52 488-1.49 2 55 2.49 2.35 2.12 1.54 2.18 3.00 2.69 3.12 2.80 3.07 2.75 3.15 2.82 2.94 2.63 2.99 2.68 3.92 3.51
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-12
ED 002061 00106880-00049
Reference Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012 Formation 2012
Site Description Hoopes Spring - HS3 Hoopes Spring - HS3 Sage Creek - LSV2C Sage Creek - LSV2C Sage Creek - LSV4 Sage Creek - LSV4 South Fork Tincup Cr. South Fork Tincup Cr.
Site ID HS-3 HS-3 LSV-2C LSV- 2C L S V -4 L S V -4 SFTC-1 SFTC-1
REVIEW OF EPA 2014 DRAFT SE CRI TERIA DOCUMENT DOCKET ID NO. EPA - H Q- OW- 2 0 0 4 - 00 1 9 OCTOBER 2015
Target Fish Species Common
Name Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin Brown Trout Sculpin
Effective TTF
1.85 1.85 2.19 2.19 2.07 2.07 2.21 2.21
Target Fish TFF
1.44 1.29 1.44 1.29 1.44 1.29 1.44 1.29
TFF C om p o site 2.67 2.39 3.16 2.83 2.98 2.67 3.18 2.85
GEI Consultants, Inc.
Sierra Club v. EPA 18cv3472 NDCA
Tier 2
Supplemental Data | A-13
ED 002061 00106880-00050