United States
Environmental Protection Agency
Office of Water &
Office of Research and
Development
Office of Science and Technology
Health and Ecological Criteria Oiv.
Washington. D.C. 2O460
EPA-S22-R-93-016
September 1993
Sediment Quality Criteria
for the Protection  of
Benthic Organisms:
ENDRIN

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                                  CONTENTS
Foreword	    ii
Acknowledgments	   iv
Tables	,  . .  .   vi
Figures	:...............	 vii
Introduction	1-1
Partitioning	;	    2-1
Toxicity of Endrin: Water Exposures	    3-1
Toxicity of Endrin (Actual and Predicted): Sediment Exposures	    4-1
Criteria Derivation for Endrin  	5-1
Criteria Statement	    6-1
References	7-1
Appendix A:  Summary of Acute Values for Endrin for Freshwater and Saltwater
            Species   	A-l
Appendix B:  Summary of Data from Sediment Spiking Experiments with
            Endrin	B-l

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                                     FOREWORD
       Under the Clean Water Act (CWA) the U.S.  Environmental Protection Agency (U.S.
EPA) and the States develop programs for protecting the chemical, physical, and biological
integrity of the nation's waters.   Section 304(a)(l) directs the Administrator to develop and
publish "criteria" reflecting the latest scientific knowledge on: (1) the kind and extent of effects
on human health and welfare, including effects  on plankton, fish, shellfish, and wildlife, which
•may be expected from the presence of pollutants in any body of water, including ground water,
(2) the concentration and dispersal of pollutants,  or their byproducts, through biological, physical
and chemical processes, and (3) the effects of pollutants on biological community diversity,
productivity, and stability.  Section 304(a)(2) directs the Administrator to develop and publish
information on, among other things, the factors necessary for the protection and propagation of
shellfish, fish, and wildlife for classes and categories  of receiving waters.

       To meet this objective, U.S. EPA has periodically issued ambient water quality criteria
(WQC) guidance beginning with the publication of "Water Quality Criteria 1972" (NAS/NAE,
1973).  All criteria guidance  through late 1986  was  summarized in an U.S. EPA document
entitled "Quality Criteria for Water, 1986" (U.S. EPA, 1987). Additional WQC documents that
update criteria for selected chemicals and provide new criteria for other pollutants have also been
published. In addition to the development of WQC and to continue to comply with the mandate
of the CWA, U.S. EPA has conducted efforts to develop and publish sediment quality criteria
(SQC) for some of the 65 toxic pollutants or toxic pollutant categories.  Section 104 of the CWA
authorizes the administrator to conduct and promote  research  into the causes, effects, extent,
prevention, reduction and elimination of pollution, and to publish relevant information.  Section
104(n)(l) in particular provides for study of the effects of pollution, including sedimentation in
estuaries, on aquatic life, wildlife, and recreation. U.S. EPA's efforts with respect to sediment
criteria are also authorized under CWA Section 304(a).

       Toxic contaminants in bottom sediments  of the nations's  lakes, rivers, wetlands, and
coastal  waters create the potential  for continued  environmental degradation even where water
column contaminant levels meet established WQC. In addition, contaminated sediments can lead
to water quality impacts, even when direct discharges  to the receiving water have ceased.  EPA
intends SQC be used to assess the extent  of sediment contamination, to aid in implementing
measures to limit or prevent additional contamination, and to identify and implement appropriate
remediation activities when needed.

       The criteria presented in this document  are the U.S. EPA's best recommendation of the
concentrations of a substance that may be present in sediment while still protecting benthic
organisms from the effects of that substance.   These criteria are applicable to a  variety of
freshwater  and  marine  sediments because they  are based  on  the  biologically available
concentration of the substance in  sediments.  These criteria  do  not  protect against additive,
synergistic or antagonistic effects  of contaminants or bioaccumulative effects to aquatic life,
wildlife or human health.
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       The criteria derivation methods outlined in this ^document are proposed  to provide
protection of benthic organisms from biological impacts from chemicals present in sediments.
Guidelines and guidance are being developed by U.S. EPA to assist in the application of criteria
presented in this document, in the development of sediment quality standards,  and in other
water-related programs of this Agency.

       These  criteria are being issued in support of U.S. EPA'S regulations and  policy
initiatives.  This document is Agency guidance only. It does not establish or affect legal rights
or obligations. It does not establish a binding norm and is not finally determinative of the issues
addressed.  Agency  decisions in any particular case will be made by applying the law and
regulations on the basis of the specific facts.
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                             ACKNOWLEDGEMENTS
Principal Author

    David J. Hansen

Coauthors

      Walter J. Berry


      Dominic M. Di Toro


      Paul R. Paquin


      Laurie D. De Rosa


      Frank E. Stancil,Jr.

      Christopher S. Zarba

Technical and Clerical Support

      Heinz P. Kofflg


      Glen B. Thursby


      Maria R. Paruta


      Stephanie C. Anderson


      Denise M. Champlin


      Dinalyn Spears
U.S. EPA, Environmental Research
Laboratory Narragansett, RI
Science Applications International
Corporation, Narragansett, RI

Manhattan College, Bronx, NY
HydroQual, Inc., Mahwah, NT

HydroQual, Inc.,
Mahwah, NJ

HydroQual, Inc.,
Mahwah, NJ

U.S. Environmental Research Laboratory, Athens, GA

U.S. EPA Headquarters, Office of Water, Washington, DC
U.S. Environmental Research
Laboratory, Athens, GA

Science Applications International
Corporation,  Narragansett, RI

NCSC  Senior  Environmental  Employment  Program
Narragansett, RI

Science Applications International Corporation,
Narragansett, RI

Science Applications International Corporation,
Narragansett, RI

Computer Science Corporation,
Narragansett, RI
                                         IV

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      Persons who have made significant contributions to the development of the approach and
supporting science used in the derivation of sediment Briteria for nonionic organic contaminants
are as follows:
      Herbert E. Allen

      Gerald T. Ankley


      Christina E.  Cowan

      Dominic M. Di Toro


      David J. Hansen


      Paul R. Paquin

      Spyros P. Pavlou

      Richard C. Swartz


      Nelson A. Thomas


      Christopher S. Zarba
University of Delaware, Newark, DE

U.S. EPA, Environmental Research Laboratory,
Duluth, MN

Battelle, Richland, WA

HydroQual, Inc., Mahwah, NJ;
Manhattan College,-Bronx, NY

U.S. EPA, Environmental Research Laboratory,
Narragansett, RI

HydroQual, Inc., Mahwah, NJ

Ebasco Environmental, Bellevue, WA

U.S. EPA, Environmental Research Laboratory,
Newport, OR

U.S. EPA, Environmental Research Laboratory,
Duluth, MN

U.S. EPA Headquarters, Office of Water, Washington, DC

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                                      TABLES
                          t
Table 2-1.    Endrin measured and estimated log10KoW values.

Table 2-2.    Summary of log10KoW values  for  endrin measured by  the  U.S. EPA,
             Environmental Research Laboratory, Athens, GA.

Table 3-1.    Chronic sensitivity of freshwater and saltwater organisms to endrin.
             Test specific data.

Table 3-2.    Summary of  freshwater and saltwater acute and chronic values, acute-chronic
             ratios and derivation of final acute values, final acute-chronic ratios and  final
             chronic values for endrin.

Table 3-3.    Results of approximate randomization test for  the equality of freshwater and
             saltwater FAV distributions for endrin and approximate randomization test for the
             equality  of benthic and combined benthic and water column  (WQC) FAV
             distributions.

Table 4-1.    Summary of tests with endrin-spiked sediment.

Table 4-2.    Water-only and sediment LCSOs used to test the applicability of the equilibrium
             partitioning theory  for endrin.

Table 5-1.    Sediment quality criteria for endrin.

Table 5-2.    Analysis  of variance for derivation of sediment quality criteria confidence limits
             for endrin.

Table 5-3.    Sediment quality criteria confidence limits for endrin.


Appendix A. - Summary of acute values for endrin for freshwater and saltwater species.

Appendix B. - Summary of data from sediment spiking experiments with endrin. Data from these
              experiments  were used to calculate KQC values (Figure 2-2) and to compare
              mortalities of amphipods with pore water toxic units (Figure 4-1) and predicted
              sediment toxic units  (Figure 4-2).
                                          VI

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                                       FIGURES
                                   •              •. .  • '
Figure 1-1.    Chemical structure and physical-chemical properties of endrin.

Figure 2-1.    Observed versus  predicted (equation  2-4)  partition  coefficients for nonionic
              organic chemicals (endrin datum is highlighted).

Figure 2-2.    Organic carbon-normalized sorption isotherm for endrin (top) and probability plot
              of KQC (bottom) from sediment toxicity tests conducted by Nebeker et. al, (1989),
              Schuytema et al. (1989) and Stehly (1992). The line in the top panel represents
              the relationship predicted with a log K,,,. of 4.84, that  is CI(OC=Koc*Cd.

Figure 3-1.    Genus mean acute values, of freshwater species vs.  percentage rank of their
              sensitivity. Symbols representing benthic species are solid, those representing
              water column species  are open.  Asterisks indicate greater than values. A =
              adult; J = juvenile;  U  = unspecified life stage,  habitat unknown;  X  =
              unspecified life stage.

Figure 3-2.    Genus mean acute values,  of saltwater species vs.  percentage rank of their
              sensitivity. Symbols representing benthic species are solid, those representing
              water column species  are open.  Asterisks indicate greater than values.  A =
              Adult, E =  embryo, J = juvenile, L = Larvae.

Figure 3-3.    Probability distribution of FAV difference statistics to compare water-only data
              from freshwater vs. saltwater (upper panel) and benthic vs. WQC freshwater
              (middle panel) and benthic vs WQC saltwater (lower panel).

Figure 4-1.    Percent mortality of  amphipods in sediments  spiked with acenaphthene  or
              phenanthrene  (Swartz, 1991),  endrin (Nebeker et al., 1989; Schuytema et al.,
              1989) or fluoranthene (Swartz et al., 1990), and midge in sediments spiked with
              dieldrin (Hoke, 1992) or kepone (Adams et al., 1985) relative to pore water toxic
              units.  Pore water toxic units are ratios of concentrations of chemicals measured
              in individual treatments divided by the water-only LC50 value from water-only
              tests. (See Appendix B hi this SQC document, Appendix B hi the acenaphthene,
              dieldrin, fluoranthene and phenanthrene SQC documents, and original references
              for raw data.)

Figure 4-2.    Percent mortality of  amphipods in sediments  spiked  with acenaphthene  or
              phenanthrene (Swartz,  1991), dieldrin (Hoke and Ankley, 1991), endrin (Nebeker
              et al., 1989; Schuytema et al., 1989) or fluoranthene (Swartz et al., 1990; DeWitt
              et al., 1992) and  midge hi dieldrin spiked sediments  (Hoke, 1992) relative to
              "predicted sediment toxic units." Predicted sediment toxic units are the ratios of
              measured treatment concentrations for  each chemical in  sediments (/ig/goc)
              divided by the predicted LC50 (/tg/goc) in sediments (Koc x Water Only LC50,

                                          vii

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             /ig/L) x 1 Kgoe/ljOOOgo,.).  (See Appendix B in this document and Appendix B in
             the acenaphthene, dieldrin, fluoranthene, and phenarithrene SQC documents for
             raw data).

Figure 5-1.   Comparison between SQC concentrations and 95% confidence intervals, effect
             concentrations from benthic organisms exposed to endrin-spiked sediments and
             sediment concentrations predicted to be chronically safe in fresh water sediments.
             Concentrations predicted to be chronically safe (Predicted Genus Mean Chronic
             Values, PGMCV) are  derived from the Genus Mean Acute Values  (GMAV),
             water-only 96-hour lethality tests, Acute Chronic Ratios (ACR) and KQC values.
             PGMCV  = (GMAV -T- ACR)Koc. Symbols for PGMCVs are A for arthropods,
             O for fishes and D for other invertebrates.  Solid symbols are benthic genera;
             open symbols water column genera.  Arrows indicate greater than values. Error
             bars around sediment LC50 values indicate observed range of LC50s.

Figure 5-2.   Comparison between SQC concentrations and 95 % confidence intervals, effect
             concentrations from benthic organisms exposed to endrin-spiked sediments and
             sediment concentrations predicted to be chronically safe in salt water sediments.
             Concentrations predicted to be chronically safe (Predicted Genus Mean Chronic
             Values, PGMCV) are  derived from the Genus Mean Acute Values  (GMAV),
             water-only 96-hour lethality tests, Acute Chronic Ratios (ACR) and KQC values.
             PGMCV  = (GMAV H- ACR)Koc. Symbols for PGMCVs are A for arthropods,
             O for fishes and D for other invertebrates.  Solid symbols are benthic genera;
             open symbols water column genera.  Arrows indicate greater than values. Error
             bars around sediment LC50 values indicate observed range of LCSOs.
Figure 5-3.   Probability distribution of concentrations of endrin in sediments from streams,
             lakes and estuaries in the United States from 1986 to 1990 from the STORET
             (U.S. EPA, 1989b) database compared to the endrin SQC values of 0.42 /wg/g in
             freshwater sediments having  TOC  =  10%  and 0.042  jtg/g in freshwater
            •sediments  having TOC  =  1%  and compared to  SQC values  for saltwater
             sediments of 0.076 jig/g when TOC =10% and 0.0076 /tg/g when TOC=1%.
             The upper dashed line on each figure represents the SQC value when TOC  =
             10%, the lower dashed line represents the SQC when TOC = 1%.
                                         Vlll

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                                  DISCLAIMER
      This report has been reviewed by the Health and Ecological Criteria Division, Office of
Science and Technology, U.S. Environmental Protection Agency, and approved for publication.
Mention  of trade  names or  commercial products does  not  constitute endorsement or
recommendation for use.
                             AVAILABP-TTV NOTICE

      This document is available to the public through the National Technical Information
Service (NTIS), 5285 Port Royal Road, Springfield, VA 22161.  NTIS Accession Number
XXXX-XXXXXX.
                                       IX

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                                    SECTION 1.








                                  INTRODUCTION








1.1  GENERAL INFORMATION




       Under the  Clean Water Act (CWA) the U.S. Environmental Protection Agency (U.S.




EPA) is responsible for protecting the chemical, physical and biological integrity of the nation's



waters. In keeping with this responsibility, U.S. EPA published ambient water quality criteria




(WQC) in 1980 for 64 of the 65 toxic pollutants or pollutant categories designated as toxic in



the CWA. Additional water quality documents that update criteria for selected consent decree




chemicals and new criteria have  been published since 1980.  These WQC are  numerical



concentration limits that are the U.S. EPA's best estimate of concentrations protective of human



health and the presence and uses of aquatic life.  While these water quality criteria play an



important role in assuring a healthy aquatic environment, they alone are not sufficient to ensure



the protection of environmental or human health.




       Toxic pollutants in bottom sediments of the nation's lakes, rivers, wetlands, estuaries and



marine coastal waters create the potential for continued environmental degradation even where



water-column  concentrations  comply  with established  WQC.   In  addition,  contaminated




sediments can  be  a significant pollutant source that may cause water quality degradation to



persist, even when other pollutant sources are stopped.  The absence of defensible sediment




quality criteria (SQC) makes it difficult to accurately  assess the extent of the ecological risks of
                                         1-1

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contaminated sediments and to identify, prioritize and implement appropriate clean up activities
                         t
and source controls. As a result of the need for a procedure to assist regulatory agencies in

making decisions concerning contaminated sediment problems, a U.S. EPA Office of Science

and Technology, .Health and Ecological Criteria Division (OST/HECD) research team was

established to review alternative approaches (Chapman, 1987). All of the approaches, reviewed

had both strengths and weaknesses and no single approach was found to be applicable for SQC

derivation in all situations (U.S. EPA, 1989a).  The equilibrium partitioning (EqP) approach was

selected for non-ionic organic chemicals because it presented the greatest promise for generating

defensible national numerical chemical-specific SQC applicable across a broad range of sediment

types.  The three principal observations that underlie the EqP method of establishing sediment

quality criteria are:

       1.    The concentrations of nonionic organic chemicals in sediments, expressed on an

             organic carbon  basis, and in pore waters correlate to observed biological effects

             on sediment dwelling organisms across a range of sediments.

       2.    Partitioning models  can relate  sediment  concentrations  for nonionic organic

             chemicals on an organic carbon basis to freely dissolved concentrations in pore

             water.

       3.    The distribution  of  sensitivities  of  benthic and water column organisms to

             chemicals are similar; thus, the currently established WQC final chronic values

             (FCV) can be used to define the acceptable effects concentration of a chemical

             freely-dissolved in pore water.

       The EqP approach, therefore, assumes  that: (1) the partitioning of the chemical between
                                          1-2

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  sediment organic carbon and interstitial water is at equilibrium; (2) the concentration in either
                            :
  phase can be predicted using appropriate partition coefficients and the measured concentration

  in the other phase; (3) organisms receive equivalent exposure from water-only exposures or from

  any equilibrated phase: either from pore water via respirationj sediment via ingestion, sediment-


  integument exchange,  or from a mixture of exposure routes; (4) for nonionic chemicals, effect -


  concentrations in sediments on an organic carbon basis can be predicted using the organic carbon


  partition coefficient (Koc) and effects concentrations in water; (5) the FCV concentration is an


  appropriate effects concentration for freely-dissolved chemical in interstitial water; and (6) the


  SQC Otg/goc) derived as the product of the KQC and FCV is protective of benthic organisms.

  SQC concentrations presented in this document are expressed as fig chemical/g sediment organic


  carbon and not on an  interstitial water basis because: (a) pore water is difficult to  adequately


  sample; and (b) significant amounts of the dissolved chemical may be associated with dissolved

  organic carbon; thus, total concentrations in interstitial water may overestimate exposure.


         The data  that support the EqP  approach for deriving SQC for nonionic organic

  chemicals are reviewed by Di Toro et al. (1991) and U.S. EPA, (1993a). Data supporting these

.  observations  for endrin are presented in this document.


        SQC  generated using the EqP method  are suitable for use in providing guidance to

  regulatory agencies because they are:

         1.   numerical values;

        2.   chemical specific;

        3.   applicable to most sediments;

        4.   predictive of biological effects;  and
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       5.  protective of benthic organisms.
                          i

As is the case with WQC, the SQC reflect the use of available scientific data to:  1) assess the


likelihood of significant environmental effects to benthic organisms from chemicals in sediments;


and 2) to derive regulatory requirements which will protect against these effects.


       It should be emphasized that these criteria are intended to protect benthic organisms from


the effects of chemicals associated with sediments.  SQC are intended to apply to sediments


permanently inundated with water, intertidal sediment and sedimente inundated periodically for


durations sufficient to permit development of benthic assemblages.   They  do not  apply  to


occasionally inundated soils containing terrestrial organisms.  These criteria do not address the


question of possible contamination of upper trophic level organisms; or the synergistic, additive


or antagonistic effects of multiple chemicals. SQC addressing these issues may result  in values


lower or higher than those presented in this document.  The SQC presented in this document


represent the U.S. EPA's best recommendation at this time of the concentration of a  chemical


in sediment that will not adversely affect most benthic organisms. SQC values may be adjusted


data or site-specific considerations.


       SQC values may also need to be adjusted because of site spescific consideration. In spill


situations, where chemical equilibrium between water and sediments has not yet been reached,


a sediment chemical concentration less than SQC may pose risks to benthic organisms. This is


because for spills,  disequilibrium  concentrations in interstitial and overlying  water may  be


proportionally higher relative to sediment concentrations. Research has shown that the source


or "quality" of TOC in the sediment does not effect chemical binding (DeWitt et al., 1992).


However, the physical form of the chemical in the sediment may have an effect.  At some sites
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concentrations in excess of the SQC may not pose risks to benthic organisms, because the




compound may be a component of a paniculate, such as coal or soot, or exceed solubility such



as undissolved oil or chemical. In these situations, the national SQC would be overly protective



of benthic organisms and should not be used unless modified using the procedures outlined in




the "Guidelines for Deriving Site-specific Sediment Quality Criteria for the Protection of Benthic




Organisms" (U.S. EPA,  1993b). The SQC may be underprotective where the toxicity of other




chemicals are additive with the SQC chemical or species-of unusual sensitivity occur at the site.




       This document presents the theoretical basis and the supporting data relevant to the




derivation of the SQC for endrin.  An understanding of the "Guidelines for Deriving Numerical




National Water Quality  Criteria for the Protection of Aquatic  Organisms and Their Uses"



(Stephan et al., 1985), response to public comment (U.S. EPA, 1985) and "Technical Basis for



Deriving Sediment Quality Criteria for Nonionic Organic Contaminants for the Protection of




Benthic Organisms By Using Equilibrium Partitioning" (U.S. EPA, 1993a) is necessary in order



to understand the following text, tables and calculations.  Guidance for the acceptable use of




SQC values is contained in  "Guide for the Use and Application of Sediment Quality Criteria for



Nonionic Organic Chemicals" (U.S. EPA, 1993c).








1.2 GENERAL INFORMATION: ENDRIN




       Endrin  is   the   common   name   of   a   "broad  spectrum"   organochlorine



insecticide/rodenticide. It was formulated for use as an emulsifiable concentrate, wettable or



dustable powder  and granular product.  It has been used with a variety of crops, including




cotton, tobacco, sugar cane, rice and ornamentals.  One of its major uses in the United States
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  was in the control of lepidopteran larvae on cotton.  During recent years its use was increasingly
                            j
  restricted until it was banned on October 10, 1984, in part as a result of its observed toxicity

  to non-target organisms, bioaccumulation potential and persistence.

        Endrin is a cyclic hydrocarbon having a chlorine  substituted methanobridge structure

  (Figure  1-1).   Chemically, it is  the endo-endo  stereoisomer of dieldrin,  and has similar

  physico-chemical properties, except that it is more easily degraded in the environment (Wang,

  1988). Endrin is a colorless crystalline solid at room temperature, with a melting point of about

  235°C and specific gravity of 1.7 at 20°C.  Its vapor pressure is 0.026 mPa (25°C), aqueous

  solubility  approximately 0.024 mg/L  at 25°C, and  as  discussed subsequently, its  log

  octanol-water partition coefficient (k>g10KoW) is estimated to be 4.90.

        Endrin is toxic to non-target aquatic organisms, birds, bees and mammals (Hartley and

  Kidd, 1987). The  acute toxicity of endrin ranges from 0.08 to 352  jig/L for freshwater and

  0.037 to 790 ftg/L for saltwater organisms (Appendix A). There is little difference between the

  acute and chronic toxicity of endrin to aquatic species; acute-chronic ratios range from 1.9 to

  4.7 for three species (Table 3-3).  Endrin bioconcentrates hi  aquatic animals  from 1,450 to

  10,000 times the concentration in water (U.S. EPA,  1980).  The water quality criterion for

  endrin (U.S.  EPA,  1980) is derived  using  a Final  Residue   Value calculated using

  bioconcentration data and the FDA action level to protect marketability of fish and shellfish;

  therefore, the WQC is not "effects based". The Final Chronic Value (FCV) in the endrin WQC

  document (U.S. EPA, 1980) is the recommended concentration protective from direct effects of

  endrin on aquatic life.  This value is modified in this SQC document, and used to  derive the

,  SQC.
                                            1-6

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                                         a  et
                                              ei
                  MOLECULAR FORMULA
                  MOLECULAR WEIGHT
                  DENSITY
                  MELTING POINT
                  PHYSICAL FORM
                  VAPOR PRESSURE
      C12H8C160
       380.93
      1.70 g/cc
        235°C
Colorless crystal
      0.026 mPa (25°C)
    CAS NUMBER:  72-20-8
    TSL NUMBER: IO 15750
 COMMON NAME:  Endrin (also endrine and nendrin)
   TRADE NAME: Endrex (Shell); Hexadrin
CHEMICAL NAME:  l,2,3,4,10,10,hexachloio-lR,4S,4aS,5nS,6,7R,8R,8aR-
                    octahydro-6,7-epoxy-l,4:5,8-dimethanoaphthalene (IUPAC)
                                    or
                    Hexachloroepoxy-octahydro-endo-endo-dimethanonaphthalene
      FIGURE 1-1.  Chemical structure and physical-chemical properties of endrin.
                                     1-7

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 1.3 OVERVIEW OF DOCUMENT:
                         f
       Section 1 provides  a brief review of the EqP methodology, and  a  summary of the

physical-chemical properties and aquatic toxicity of endrin.  Section 2 reviews a variety of

methods and  data useful in deriving partition  coefficients for endrin  and includes the KQC

recommended for use in the derivation of the endrin SQC.  Section 3 reviews aquatic toxicity

data contained in the endrin WQC document (U.S. EPA, 1980) and new data that were used to

derive  the FCV  used in this document to derive the -SQC concentration.  In addition, the

comparative sensitivity of benthic and water column species is examined as  the justification for

the use of the FCV for endrin in the derivation of the SQC.  Section 4 reviews data on the


toxicity of endrin in sediments, the need for organic carbon normalization  of endrin sediment


concentrations and the accuracy of the EqP prediction of sediment toxicity using KQC and an


effect concentration in water.  Data from Sections 2, 3 and 4 are used in Section 5 as the basis

for the derivation of the SQC for endrin and  its uncertainty.  The SQC for endrin is then

compared  to  STORET (U.S.  EPA, 1989b) data on endrin's environmental occurrence in

sediments.  Section 6 concludes with the criteria statement for endrin. The references used in


this document are listed in  Section 7.
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                                    SECTION 2.








                                  PARTITIONING








2.1 DESCRIPTION OF THE EQUILIBRIUM PARTITIONING METHODOLOGY:




       Sediment quality criteria (SQC) are the numerical-concentrations of individual chemicals




which are intended to be predictive of biological effects,  protective of the presence of benthic



organisms and applicable to the range of natural sediments from lakes, streams, estuaries and




near coastal marine waters. As a consequence, they can be used in much the same way as water



quality criteria (WQC); ie., the concentration of a chemical which is protective of the intended




use such as aquatic life protection. For nonionic organic chemicals, SQC are expressed as  /Lig




chemical/g organic carbon and apply to sediments having ^ 0.2 % organic carbon by dry



weight. A brief overview follows of the concepts which underlie the equilibrium partitioning



(EqP) methodology for deriving SQC. The methodology is discussed in detail in the "Technical



Basis  for  Deriving Sediment Quality Criteria  for Nonionic Organic  Contaminants for the



Protection of Benthic Organisms by Using Equilibrium Partitioning" (U.S. EPA, 1993a),



hereafter referred to as the SQC Technical Basis Document.




       Bioavailability of a chemical at a particular sediment concentration often differs from one




sediment type to another. Therefore, a method is necessary for determining a SQC based on the



bioavailable chemical  fraction  in  a  sediment.    For nonionic   organic chemicals,  the



concentration-response relationship for  the biological effect of concern can most often be
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correlated with the interstitial water (i.e., pore water) concentration 0*g chemical/liter pore



water) and not to the sediment chemical concentration (/tg chemical/g sediment) (Di Toro et al.,



1991). From a purely practical point of view, this correlation suggests that if it were possible



to measure  the pore  water chemical concentration, or predict it from the total sediment



concentration and the relevant sediment properties, then that concentration could be used to



quantify the exposure concentration for an organism.  Thus, knowledge of the partitioning of



chemicals between the solid and liquid phases in a sediment is a necessary component for



establishing  SQC.  It is for this reason that the methodology described below is called the




equilibrium partitioning (EqP) method.



      It is shown in the SQC Technical Basis Document (U.S. EPA, 1993a) that the final acute



values (FAVs) in the WQC documents are appropriate for benthic species for a wide range of




chemicals. (The data showing this for endrin are presented in Section 3). Thus, SQC can be



established using the final chronic value (FCV) derived using the WQC Guidelines (Stephan et



al., 1985) as the acceptable effect concentration in pore or overlying water (see Section 5), and



the partition coefficient can be used to relate the pore water concentration to the sediment



concentration via the partitioning equation. This acceptable concentration in sediment is the




SQC.



      The calculation is as follows: Let FCV (/tg/L) be the acceptable concentration hi water



for the chemical of interest;  then  compute  the SQC  using the partition  coefficient,  (Kp)




(L/KgKdmicni)> between sediment and water:



             SQC = KP • FCV                                                (2-1)




This is  the  fundamental equation used to generate the  SQC.  Its utility depends upon the
                                          2-2

-------
existence of a methodology for quantifying the partition coefficient, Kp.




       Organic carbon appears to be the dominant sorption phase for nonionic organic chemicals



in naturally occurring sediments and thus controls the bioavailability of these compounds in



sediments.  Evidence for this can be found in numerous toxicity tests, bioaccumulation studies



and chemical analyses of pore water and sediments (Di Toro et al.,  1991).  The evidence for




endrin is discussed in this section and in section 4. The organic carbon binding of a chemical




in sediment is a function of that chemical's organic carbon partition coefficient (Koc) and the




weight fraction of organic carbon in the sediment (foe). The relationship is as follows:
                                                                        (2-2)




       It follows  that:




             SQCoc = KOC • FCV                                             (2-3)








where SQCOC is the sediment quality criterion on a sediment organic carbon basis.




       KOC is not usually  measured directly (although it can be done,  see  section 2.3).




Fortunately, KQC is closely related to the octanol-water partition coefficient (KQW) (equation 2-5)




which has been measured for many compounds, and can be measured very accurately. The next




section reviews the available information on the KoWfor endrin.








2.2 DETERMINATION OF KQW FOR ENDRIN:




    Several approaches  have been used  to  determine KQW for the  derivation of a SQC, as




discussed in the SQC  Guidelines.   At the U.S. EPA, Environmental Research Laboratory at







                                          2-3

-------
Athens, GA  (ERL,A) three methods were selected for measurement and two for estimation of

KQW values.   The measurement methods were shake-centrifugation (SC),  generator column

(GCol),  slow-stir-flask (SSF), and the estimation methods were SPARC (SPARC Performs

Automated Reasoning in Chemistry; Karickhoff et al., 1989) and CLOGP (Chou and Jurs,

1979). Data were also extracted from the literature. The SC method is a standard procedure in

the Organization for Economic Cooperation and Development (OECD) guidelines for testing

chemicals, therefore, it has regulatory precedence.

    In the examination of the literature data  for endrin, primary references  were found listing

measured log10KoW values ranging from 4.40 to 5.19 (Table 2-1). Two primary references were

found for estimated values in the literature, 3.54 and 5.6 (Table 2-1).  The range of reported

values for endrin is significantly greater than the range of values for some other compounds.


TABLE 2-1.  ENDRIN MEASURED AND ESTIMATED LOG1(VKow VALUES.

      METHOD               LOG10Kow                REFERENCE

      Measured                4.40                     Rapaport and Eisenreich, 1984
      Measured                4.92                     Ellington and Stancil, 1988
      Measured                5.01                     Eadsforth,  1986
      Measured               '5.19                     DeBruijn et al., 1989
      Estimated             .   3.54                     Mabey et al., 1982
      Estimated                5.40                     SPARC*
      Estimated                5.60                     Neeley et al., 1974


"SPARC is from SPARC Performs Automated Reasoning in Chemistry., (Karickhoff et al.,
1989).

      A KQW value for SPARC is also included in Table 2-1.  SPARC is  a computer expert

system under development at ERL,A, and the University of Georgia, at Athens.   For more

information on SPARC see  U.S. EPA (1993a).  The SPARC estimated log10KoW value for

                                       2-4

-------
endrin is 5.40.                        .             ..


      We had little confidence in the available measured or estimated values for K
-------
TABLE 2-2. SUMMARY OF LOGioKoW' VALUES FOR ENDEIN MEASURED BY THE
       U.S. EPA, ENVIRONMENTAL RESEARCH LABORATORY, ATHENS, GA.
SHAKE-
CENTRIFUGATION
(SO
. 4.65
4.91
4.79
4.76
4.84
4.83
4.84
4.83




GENERATOR
COLUMN
fGCott
4.67
5.01
4.73
'4.62
5.09
5.28«






SLOW STIR
FLASK
fSSF)
4,.86
4,.59
4..97
4.95
5.02
4.82
5.04
4.91
5.07
4.93
4.96
4.78
            Mean" 4.80b
4.87"
4.92b
            •Value considered outlier and omitted from mean computation.
            bLog10 of mean of measured values.
2.3 DERIVATION OF KQC FROM ADSORPTION STUDIES:

      Two types of experimental measurements of the organic carbon partition coefficient are

available.  The first type involves experiments which were designed to measure the partition

coefficient in particle suspensions.  The second type of measurement is from sediment toxicity

tests in which sediment endrin, sediment organic carbon (OC) and freely-dissolved endrin in

pore water were used to compute KQC; dissolved organic carbon (DOC) associated endrin was

not included.
2.3.1  KOC FROM PARTICLE SUSPENSION STUDIES:

      Laboratory studies to  characterize adsorption are generally conducted using particle

                                      2-6

-------
suspensions.  The high concentrations of solids and turbulent conditions necessary to keep the

mixture in suspension make data interpretation difficult as a result of a particle interaction effect.

This effect suppresses the partition coefficient relative to that observed for undisturbed sediments

(Di Toro, 1985; Mackay and Powers, 1987).

       Based on analysis  of an extensive body  of  experimental data for a wide range of

compound types and experimental conditions, the particle interaction model (Di Toro, 1985)

yields the following relationship for estimating Kp:
                                                                                (2-4)
                          1 + mf   K   / U
where m is the particle concentration in the suspension (kg/L), and % = 1.4, an empirical

constant.  In this expression the KQC is given by:

             logioKoc = 0.00028 + 0.983 log10KoW                               (2-5)

      Figure 2-1 compares observed partition coefficient data for the reversible component with

calculated values estimated with the particle interaction model (Equation 2-4 and Equation 2-5)

for a wide range of compounds (Di Toro, 1985). The endrin datum (Sharom et-al., 1980) is

highlighted on this plot.  The observed log10Kj, of 2.04 reflects significant particle interaction

effects.  The observed partition coefficient is about nine times lower than the value expected in

the absence of particle  effects ( i.e. logioKp  =  2.98 from focKoc = 958 L/kg).  KQC was

computed from Equation 2-5).

      In the absence of particle effects, KQC is related to KQW via Equation 2-5.  For log10KoW

= 4.92  (see section 2.2), this expression results in an estimate of lognjBCoc = 4.84.
                                          2-7

-------
                      Partition Coefficient



                     Reversible Component
         0)
        .*
        D)

        O
        0)

        >
        i_

        
-------
2.3.2 KOC FROM SEDIMENT TOXICITY TESTS:
                         j

      Measurements of KQC are available from the sediment toxicity tests using endrin (Nebeker


et al., 1989; Schuytema et al., 1989; Stehly, 1991).  These tests were with different freshwater


sediments having a range  of organic carbon contents of 0.07 to 11.2 percent (Table 4-1;


Appendix B). Endrin concentrations were measured in the sediment and pore waters providing


the data necessary to calculate the partition coefficient for an undisturbed bedded sediment.  In


the case of the data reported by Schuytema et al. (1989), the concentration of endrin in the


overlying  water  at the end  of  the  10-day experiment  was used.   Nebeker et al.  (1989)


demonstrated using their methodology, that overlying water and pore water endrin concentrations


were similar.


       The  upper panel of  Figure 2-2 is a plot of the organic carbon-normalized sorption


isotherm for endrin, where  the sediment endrin  concentration  frig/goc)  is plotted  versus


(dissolved) pore water concentration G*g/L). The data used to make this plot are included in


Appendix B.  The line of unity slope corresponding to the legume = 4.84 derived from SSF


is compared  to the data.  A probability plot of the observed experimental log10Koc values is


shown in the lower panel of Figure 2-2.   The log10Koc values are approximately  normally


distributed with a mean of log10Koc = 4.67 and a standard error of the mean of 0.036.  This


value agrees  with the Iog10 KQC = 4.84, which was computed from the SSF determined (Section

2.2) endrin log10KoW of 4.92 using Equation 2-5.




2.4 SUMMARY  OF DERIVATION OF Koc FOR ENDRIN:


      The KQC selected to calculate the SQC for endrin is based on the regression of log10Koc



                                        2-9

-------
         10000 E-T-TTT
                                      ENDRIN
   O      1000

   cc
    'o
    ' OB
   ^

   3§
   55
            to
           0.1
           Mill   I  I  I I IIIII
                                 I 11111   l l l l l 11 lu"  i  i i i 11
                                                 LEGEND
                                         T -
                                  Nebeker et al.,  1989
                                  Schuytemo et al., 1989  =
                                  Stehly, 1991
                  I  l I I I III)   I  I I I I III!   L
                                             HIM
                                                     I  I i Hill   1
                                                                    lilt
             001         0,1         1          10         100        1000

                 PORE WATER CONCENTRATION  (ug/L)
           6.0
           6JS
           4J5
     &    4JO
           3JS
           3.0
                t I Illltlt  I I I I Mill
                                                               mill 11 i
                 i 11 IIIIH  i  i i 11 nil
                                      i  i
                                               i-	i    nun i  i i   mini i
              0.1
                   10   20     60     80   CO
                                  PROBABILITY
99
Figure 2-2.
Organic caibon-normalized sorption isotherm for endiin (top) and probability plot
of KQC (bottom) from sediment toxicity tests conducted by Nebeker et. al, (1989),
Schuytema et al. (1989) and Stehly (1991). The line in the top panel represents
the relationship predicted with a log K^ of 4.84, that is C,iOC=Koc*Cd.

                         2-10

-------
to log10KoW (Equation 2-5), using the endrin logy^ow of 4.90 recently measured by ERL,A.
                         i

This approach rather than the use of the K^ from the toxicity tests was adopted because the


regression equation is based on the most robust data set available that spans a broad range of


chemicals and particle types, thus encompassing a wide range of KQW and foe-  The regression


equation  yields a log10Koc of  4.84.  This value is in agreement with the logics of 4.67


measured in the sediment toxicity tests.
                                        2-11

-------

-------
                                    SECTION 3


                    TOXICITY OF ENDRIN: WATER EXPOSURES



 3.1 TOXICITY OF ENDRIN IN WATER: DERIVATION OF ENDRIN WATER QUAIITY.
   CRITERIA                                            .            .


       The equilibrium partitioning (EqP) method for derivation of sediment quality criteria


 (SQC) uses the endrin water quality criterion (WQC) Final Chronic Value (FCV) and partition


 coefficients (K^.) to estimate the  maximum concentrations of nonionic organic chemicals in


. sediments, expressed on an organic carbon basis, that will not cause adverse effects to benthic


 (epibentbic and infaunal) organisms. For this document, life stages of species ckssed as benthic


 are either species that live in the sediment (infauna) or on the sediment surface (epibentbic) and


 obtain their food from either the sediment or water column (U.S. EPA, 1989c). In this section


 (1) the FCV from the endrin WQC document (U.S. EPA, 1980) is revised using new aquatic


 toxicity test data, and (2) the use of this FCV is justified as the effects concentration for SQC


 derivation.


 3.2 ACUTE TOXICITY - WATER EXPOSURES:


       One hundred and one standard acute toxicity tests with endrin have been conducted on


 45 freshwater species from 35  genera (Figure 3-1; Appendix A).  Overall genus mean acute


 values (GMAVs) range from 0.15 to > 165 /*g/L.  Fishes, amphipods, ostracods, glass shrimp,

                                                                      0
 mayflies, stoneflies, caddisflies, damselflies and dipterans were most sensitive; overall GMAVs


 for the most sensitive generation of these taxa range from 0.15 to 4.7 /tg/L.  Thirty-nine tests


 on the benthic life-stages of 25  species from 21 genera are contained in this database (Figure


                                        3-1

-------
 3-1; Appendix A).  Benthic organisms were among both the most sensitive, and most resistant
                          ,•
 freshwater species to endrin.   Of the epibenthic species, amphipods, grass shrimp, mayflies,

 stonefiies, caddisflies, damselflies and dipterans are most sensitive; GMAVs range from 0.25

 to 5.9 jtg/L.  Infaunal species tested included endrin sensitive ampMpods, stonefiies, mayflies,

 dipterans and an ostracod (LC50s range from  0.54 to 4.6 /tg/L) the endrin-tolerant mayfly,

 Hexagenia bilineata (LC50=63 jig/L) and the oligochaete, Lumbriculus variegatus. (LC50> 165

 Atg/L).  The Final Acute Value (FAV) derived from the overall GMAVs (Stephan et al. 1985)

 for freshwater organisms is 0.19 /tg/L (Table 3-2).

       Thirty-seven acute toxicity tests have been conducted on 21  saltwater species from 19

 genera (Appendix A). Overall GMAVs range from 0.037 to 790 /*g/L.  Fishes and a penaeid

 shrimp were most sensitive; however, only 7 of 21 species tested were invertebrates.  Within

 this database there are results from 26 tests on benthic life-stages of  14 species from 12 genera

 (Figure 3-2; Appendix A).  Benthic organisms are among both the most sensitive and most

 resistant saltwater genera to endrin.  The most sensitive benthic jjpecies is the commercially

 important pink shrimp, Penaeus duorarum. with a flow-through 96-hour LC50 of 0.037 /*g/L

 based on measured concentrations.  Other benthic species for which there are data appear less

 sensitive; GMAVs range from 0.094 to 12 jig/L. The FAV for saltwater species is 0.033 jtg/L

 (Table 3-2).
3.3 CHRONIC TOXICITY - WATER EXPOSURES:

       Life-cycle toxicity tests have been conducted with the freshwater fiagfish (Jordanella

floridael and fathead minnow (Pimephales promelas'). and the saltwater sheepshead minnow
                                         3-2

-------
  1000
   100
1
HI
_l

tu



z
1U
5
CO

LU
    10
   0.1
A Arthropods

D Other invertebrates
O Fishes
                                                      Lumbriculus '(A) \


                                                        Hexagenia (J)\
                                                       Copepod(X)\j

                                                    Daphnia (L)4
                                                            Simocephalus (X),
                                                             Orconectes (J)

                                                               Tipula (J)
                                         Baetus (J)
                                    Jordanella (J)
                                 Tanytarsus (L)
                              Pteronarcys (A) '
                    Gasterosteus (U)
                      lctalurus(J)
               Oncorhynchus (J) '
               Pimephales (J)
                                            AtherixfJ) .
                                                  ^A Ephemerella (X)
                                                  Gammarus (A)
                                                Rana (L)
                                           r  Ischnura (J)
                                            Cypridopsis (A)
                                     ,  *Palaemonetes (A)
                                     Poecilia (X)
                                   Carassius (J)
          Micropterus (J)
               gyprinus (J)
                     \	 A^Jl^,
                  ^_      Brachycentrus (X)
               _  Acroneuria (L)
              . Classenia(A)
              Lepomis (J)
           'Perca (J)
                      r  Gambusia (J)
                      Pteronarcella (L)
                    ^Salvelinus (J)
                       J_
                                      J.
                                                     J_
                                                    J_
                       20             40            60            80

                     PERCENTAGE RANK OF FRESHWATER GENERA
                                                                 100
Figure 3-1.   Genus mean acute values, of freshwater species vs.  percentage rank of their
              sensitivity. Symbols representing benthic species are  solid, those representing
              water column species are open.  Asterisks indicate greater than values. A =
              adult;  J  = juvenile;  U = unspecified life  stage,  habitat unknown;  X =
              unspecified life stage.         3-3

-------
   1000
    100
     10
'i
 ui
 I
 z
I
UJ
CJ
    0.1
  0.01
 Figure 3-2.
                 A Arthropods
                 0 Other Invertebrates
                 O  Fishes
                                                     Crassostrea IE,L)
                                     Gasterosteus (J)
                              Poedlla (A)
                         Anguilla(J)
             Cymatogaster(J)
                               Cyprinodon (J,A)
                                              Sphaeroides(A)
                Crangon (A)
            Palaemon (A)
   Palaemonetes (A)
Fundulus (A)
                 Morone (J)
                                 Micrometrvs (A)
               nha(assoma(A.)
                     fMenidia(J)
                'Oncorhynchus (J)
             " Penaeus (A)
          _L
                       20            40            60            80

                      PERCENTAGE RANK OF SALTWATER GE-NERA
                                                                  100
Genus mean acute values, of saltwater species vs. percentage rank of their
sensitivity. Symbols representing benthic species an; solid,  those representing
water column species are open.   Asterisks indicate greater than values.  E  =
embryo, J = juvenile.
                             3-4

-------
(Cyprinodon variegatus) and grass shrimp (Palaemonetes pugio) (Table 3-1; 3-2).  Each of these
                          ;                      •
species, except for P. promelas. have one or more benthic life stages.

       Two life-cycle toxicity tests have been conducted with J. floridae.  The concentration-

response relationships were almost identical among the tests.   Hermanutz (1978) observed ah

8% reduction in growth (length) and a 79% reduction in number of eggs spawned per female

in 0.3 jig/L endrin relative to response of control fish; progeny were unaffected (Table 3-2).

Neither parental or progeny (Ft) generation J. floridae were significantly affected when exposed

to endrin concentrations from 0.051 to 0.22 jtg/L. In the second life-cycle test,  Hermanutz et

al. (1985) observed a 51 % decrease in reproduction in parental fish exposed to 0.29 /*g/L endrin

and reductions  of 73% in survival,  18% in (growth) length and 92%  in numbers of eggs per

female in 0.39  jtg/L.  No significant effects were detected in  parental or progeny generation

fiagfish in 0.21 /tg/L.

       The effect of endrin on P. promelas in a life-cycle test was only marginally  enhanced

when exposure was via water and  diet vs. water-only exposures (Jarvinen and Tyo, 1978).

Parental fish in 0.25 ng/L in  water-only exposures exhibited about 60% mortality relative to

controls.  Mortality of Ft progeny was 70% in 0.14 jig/L, the lowest concentration tested, and

85 % in 0.25 /*g/L. Tissue concentrations increased marginally in fish exposed to the water and

diet  treatment  relative to  fish in  water-only  exposures.    Effects were observed  at  all

concentrations tested.

       One saltwater invertebrate species, P. pugio. has been exposed to endrin in a partial life-

cycle toxicity test (Tyler-Schroeder, 1979). Mortality of parental generation shrimp  generally

increased as endrin concentrations increased from 0.11 to 0.79 jig/L.   Onset of spawning was
                                          3-5

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 delayed, duration of spawning was lengthened and the number of female P. pugio spawning was



 less in all exposure concentrations from 0.03 to 0.79 jtg/L. These effects on reproduction may



.not be important because embryo production and hatching success were apparently not affected.



 Larval mortality and time to metamorphosis increased and growth of juvenile progeny decreased




 in endrin concentrations  ^0.11 jtg/L.



       C_. variegatus exposed to endrin in a life-cycle toxicity test (Hansen et al., 1977) were



 affected at endrin concentrations similar to those affecting the two freshwater fishes described



 above. £. variegatus embryos exposed to 0.31 and 0.72 pg/L. hatched early; all fry exposed to



 0.72 /*g/L, and about half those exposed to 0.31 /
-------
calculating the  sediment quality criterion for protection of benthic species.  The FCV for
                                  T  '^         ';&«;   s$
                          :
freshwater organisms of 0.061 /ig/L is the quotient of the FAV of 0.19 /*g/L and the FACR of

3.1. Similarly, the FCV for saltwater organisms of 0.011 /tg/L is the  quotient of the FAV of

0.033 /*g/L and the FACR  of 3.1.



3.4 APPLICABILITY OF THE WATER QUALITY CRITERION AS  THE EFFECTS
  CONCENTRATION FOR DERIVATION OF THE ENDRIN SEDIMENT
   QUALITY CRITERION:

       The use of the FCV (the  chronic effects-based WQC concentration) as the effects

concentration for calculation of the EqP-based SQC assumes that  benthic (infaunal and

epibenthic) species, taken as a group, have sensitivities similar to all species tested to derive the

WQC concentration. Data supporting the reasonableness of this assumption over all chemicals

for which there are published or draft WQC documents are presented in Di Toro et al.  (1991),

and the SQC Technical Basis Document (U.S. EPA, 1993a).  The conclusion of similarity of

sensitivity is supported by comparisons between  (1)  acute values for the most sensitive benthic

and acute values for the most sensitive water column species for all chemicals; (2) acute values

for all benthic  species and acute values for all species in the  WQC documents  across all

chemicals after standardizing the LC50 values; (3) FAVs calculated for benthic species alone and

FAVs calculated for all species in the WQC documents; and (4) individual chemical comparisons

of benthic species vs. all species. Only in this last comparison are endrin-specific comparisons

in sensitivity of benthic and all (benthic and water-column) species conducted. The following

paragraphs examine the data on the similarity of sensitivity of benthic and all species for endrin.

       For endrin, benthic species account for 21 out of 35 genera tested in freshwater, and 12
                                         3-9

-------
out of 19 genera tested in saltwater (Figures 3-1, 3-2).  An initial test of the difference between

                         r

the freshwater and saltwater FAVs for all species (water column and benthic) exposed to endrin



was performed using the Approximate Randomization method (Noreen, 1989). The Approximate



Randomization  method tests the significance level of a test  statistic when compared  to a



distribution of statistics generated from many random subsamples. The test statistic in this case



is the difference between the freshwater FAV, computed from the freshwater (combined water



column and benthic) species LC50 values, and the saltwater FAV, computed from the saltwater



(combined water column and benthic) species LC50 values (Table 3-3).  In the Approximate



Randomization method, the freshwater LC50 values and the saltwater LC50 values are combined



into one data set.  The data set is shuffled, then separated back so that randomly generated



"freshwater" and  "saltwater" FAVs can be computed.  The LC50 values are separated back
                                                                   i


such that the number of LC50 values used to calculate the sample FAVs are the same as the



number used to  calculate the original FAVs. These two FAVs are subtracted and the difference



used as the sample statistic.  This is done many times so that the sample statistics make up a



distribution that is representative of the population of FAV differences (Figure 3-3).  The test



statistic is compared to this distribution to determine it's level of significance.   The null



hypothesis is that the LC50 values that comprise the saltwater and freshwater data bases are not



different. If this is true, the difference between the actual freshwater and saltwater FAVs should



be common to the majority of randomly generated FAV differences.  For endrin, the test-statistic



falls at the 99 percentile of the generated FAV differences.  Since the probability is greater than



95%, the hypothesis of no significant difference in sensitivity for freshwater and  saltwater



species is rejected (Table 3-3).
                                         3-10

-------


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                           PROBABILITY

     DISTRIBUTION OF FAV DIFFERENCE STATISTICS

Figure 3-3.  Probability distribution of FAV difference statistics to compare water-only data
          from freshwater vs. saltwater (upper panel) and benthic vs. WQC (lower panel)
          data.

                                3-11

-------
             TABLE 3-3. RESULTS OF APPROXIMATE RANDOMIZATION TEST FOR
             THE EQUALITY OF THE FRESHWATER AND SALTWATER FAV
             DISTRIBUTIONS FOR ENDRIN AND APPROXIMATE
             RANDOMIZATION TEST FOR THE EQUALITY OF BENTHIC AND
             COMBINED  BENTHIC   AND   WATER   COLUMN   (WQC)   FAV
             DISTRIBUTIONS.
             Comparison
Habitat or Water Type*  AR Statistic*    Probability6
Fresh
vsSalt
Fresh (35)
Salt (19)
.156
99
             Fresh:
             Benthic
             vs Water
             Column +
             Benthic (WQC)

             Salt:
             Benthic
             vs Water
             Column +
             Benthic (WQC)
Benthic (21)  WQC (35)
-.045
Benthic (12)  WQC (19)
.010
66
            "Values in parentheses are the number of LC50 values used in the comparison.
            bAR statistic = FAV difference between original compared groups.
            °Pr(AR statistic theoretical  ^ AR statistic observed) given that the samples
             came from the same population.

      Since freshwater and saltwater species do not show similar sensitivity, separate tests were

conducted for freshwater and saltwater benthic species.  For the species from each water type,

a test of difference in sensitivity for benthic and all (benthic and water column species combined,

hereafter referred to as "WQC") organisms using the Approximate Randomization method was
                                                               j
performed.  The test  statistic in this case  is the difference between the WQC FAV, computed

from the WQC LC50 values, and the benthic FAV, computed from the benthic organism LC50
                                      3-12

-------
values. This is slightly different than the previous test for saltwater and freshwater species. The
                                    •f   .-.         • •>  4
                                    .-   ~-          4^-  '&

.difference is that saltwater and freshwater species represent two separate groups.  In this test the


benthic organisms are a subset of the WQC organisms set.  In the Approximate Randomization


method for this test, the number of data points coinciding with the number of benthic organisms


are selected from the WQC data set. A "benthic" FAV is computed.  The original WQC FAV


and the "benthic"  FAV are then used  to  compute the difference statistic.  This is done many


times and the distribution that results is  representative of the population of FAV difference


statistics.  The test statistic is compared to this distribution to determine its level of significance.


The probability distribution of, the computed FAV differences  are shown in the bottom two


panels of Figure 3-3. The test statistic for this analysis falls at the 7 percentile for freshwater


organisms and the 66 percentile for  saltwater organisms.   Therefore the hypothesis of no


difference in sensitivity is accepted (Table 3-3).  This analysis suggests that the FCV for endrin


based  on data from  all  tested  species  is an appropriate  effects concentration for  benthic


organisms.
                                          3-13

-------

-------
                                    SECTION 4








   TOXICITY OF ENDRIN (ACTUAL AND PREDICTED): SEDIMENT EXPOSURES








4.1 TOXICITY OF ENDRIN IN SEDIMENTS:



      The toxicity of endrin spiked into sediments has been tested with two saltwater species




(a polychaete and the sand shrimp) and four freshwater species (two tubificid worms and two




amphipods) (Table 4-1). The most common endpoint measured was mortality, however, impacts




on sublethal endpoints such as growth, sediment avoidance and sediment reworking rate have



been reported.  All concentrations of endrin in sediments or interstitial water where effects were



observed are greater than SQC or FCV concentrations reported in this document. Details about



exposure methodology are  provided because, unlike aquatic toxicity tests, sediment testing



methodologies  have not been standardized.  Generalizations across species or sediments are



limited because of the limited number of experiments.



      The only saltwater experiments that tested endrin-spiked sediments were conducted by



McLeese et al. (1982) and McLeese and Metcalfe (1980).  These began with clean sediments




that were added to endrin-coated beakers just prior to the addition of test organisms.  This is in



marked contrast to tests with freshwater sediments that were spiked with endrin days or weeks



prior to test initiation. As a result, the endrin concentrations in the sediment and overlying






                                        4-1

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water varied greatly over the course of these saltwater experiments and exposure conditions are




uncertain.  In addition,  transfer of test organisms to freshly prepared beakers every 48 hours




further  complicates  interpretation of results  of McLeese  et al. (1982)  because exposure




conditions are uncertain.



      McLeese et al. (1982) tested the effects of endrin on the polychaete worm, Nereis virens..




in sediment with 2 % TOC (17 % sand and 83 % silt and clay) in 12 day toxicity tests.  Only two




of five worms died in 28 /tg/g dry wt. sediment, the highest concentration tested. McLeese and




Metcalfe (1980) tested the effects of endrin in sand with a TOC content of 0.28% on the sand




shrimp, Crangon septemspinosa.  The 4 day LC50 was 0.047 ug/g dry wt. sediment, and 16.8




ug/goc-  Concentrations of endrin in water overlying the sediment were sufficient to explain the




observed mortalities of sand shrimp in sediments.



      The effects of endrin-spiked sediments from Lake Michigan on oligochaete worms has



been studied by Keilty et al.  (1988a,b) and Keilty and Stehly (1989).  For all tests, sediments



were dried, passed through a 0.25 mm sieve,  reconstituted with lake water,  spiked with endrin



dissolved in acetone, and stirred for 24 hours.  The water (containing the carrier) was aspirated




off, new overlying water added, and sediments were placed into individual beakers for 72 hours



before the  worms were added.



       Keilty et  al.  (1988a) examined the  effects of  endrin-spiked  sediment  on sediment



avoidance and mortality of two species of oligochaete worms in replicate 4 day exposures (Table




4-1).  Four day LC50 values for five tests  with Stylodrilus heringianus averaged 2,220 /ig



endrin/g dry  wt. sediment; range 1,050 to 5,400 /*g/g.  Four day LC50 values for three tests



with Limnodrilus hoffmeisteri averaged 3,390 pg/g dry wt. sediment; range 2,050 to 5,600
                                          4-5

-------
 /zg/g.  Four day LC50 values from these tests averaged 194,000 ^g/g^ for L.. hoffmeisteri and
                          t
 127,000 fig/goe  for S.. heringianus.  Data using this  test method suggest within laboratory

 variabilities of factors of 3 to 5 in LC50 values for the same sediment.  Sediment avoidance was

 seen at much lower concentrations. Over all tests burrowing was markedly reduced at ^ 11.5

•jiig/g and possibly at £» 0.54 pg/g. Concentrations where 50%  of the worms failed to burrow

 into sediments (EC50) were 59.0 /tg/g (3,371 jig/goc) for L,. hoffmeisteri and 15.3 and 19 jtg/g

 dry wt. (874 and  1,086  pg/goc) sediment for two tests  using S. heringianus.  Keilty  et al.

 (1988b) observed 18% mortality of S. heringianus in 11.5 /tg/g after a 54 day exposures and

 26% mortality in 42.0 /tg/g. Sediment reworking rate was reported to be significantly reduced

 or increased in sediments containing  5: 0.0031 jig/g.  Dry weights of worms in J>.2.33 >g/g

 were reduced after 54 days.  Keilty and Stehly (1989) observed no effect of a single, nominal

 concentration of 50 /zg/g  dry wt. sediment on protein utilization by SL heringianus over the 69

 day exposure period.  However dry weights of worms were significantly reduced.

       Nebeker et al.  (1989) and Schuytema et al.  (1989) in a series of experiments important

to the development of sediment quality criteria, exposed the amphipod Hyalella azteca to two

of the same endrin-spiked sediments;  one with a TOC of 11 % and the other 3 %. Nebeker et

al.  (1989)  mixed these  two  sediments  to obtain a third sediment  with a TOC of 6.1%.

Sediments were shaken for 7 days in endrin-coated flasks, and subsequently for 62 days in clean

flasks.  The 10 day LCSO's for amphipods in the three sediments tested by Nebeker et al. (1989)

did not differ when endrin concentration was on a wet or dry weight basis.  The LC50 values

decreased  with increase in organic carbon when the  concentration was on an organic carbon

basis (Table 4-1). The authors conclude that endrin data do not support equilibrium partitioning



                                         4-6

-------
theory. LC50's normalized to dry weight (4.4 to 6.0 /tg/g) or wet weight (0.9 to 1.0 /tg/g)
                         -         '•"*,'        '- 5$,

differed by less than a factor of 1.5 over a 3.7 fold range of TOC.  In contrast, the organic


carbon normalized LCSOs ranged from 53.6 to  147 uglg^., a factor of 2.7 (Table 4-1).


       Schuytema et al.  (1989) stored an aliquot of sediments dosed by Nebeker et al. (1989)


for an average of 9 months and then froze one-half for 2 weeks; the other half was stored at 4°C


for 2 weeks.  Endrin's toxicity to H. azteca did not differ in refrigerated and frozen sediments


from Mercer Lake,  OR. and differed minimally (LC50=5.1 vs 7.7 /*g/g dry wt. sediment) in


sediments from Soap Pond. In contrast to the findings of Nebeker et al. (1989), Schuytema et


al. (1989) using the same sediments observed higher LC50 values in four tests with Mercer Lake


sediments (9.8, 10.3,  19.6 and 21.7 /tg/g dry wt. sediment), which had a TOC of 11%,  than


LC50 values from two tests using Soap Creek sediments (5.1 and 7.7 /tg/g dry wt. sediment)


where TOC was 3%.


       The need for organic carbon normalization of the concentrations of nonionic organic


chemicals in sediments is presented in the SQC Technical Basis Document (U.S. EPA, 1993a).


The need for organic carbon normalization for endrin is supported by the results of spiked-


sediment toxicity tests described above.  When examined individually, experiments in which H.


azteca were exposed to the same sediments by both Nebeker et al. (1989) and Schuytema et al.


(1989) provide contradictory data concerning the need for organic carbon normalization (Tables


4-1).   Nebeker et al. (1989) observed no change in  toxicity and Schuytema et al. (1989) a


decrease in toxicity on a dry weight basis.  However, mean  LC50 values calculated for


individual experiments from both studies were similar when concentrations were normalized by


organic carbon content.  The LC50 was 109  /tg/goc (5 tests) for sediments from Mercer Lake
                                          4-7

-------
having a TOG of 11 % and 186 jig/g^ (3 tests) for sediments from Soap Creek Pond having 3 %
                          ;
organic carbon. The lack of consistent evidence supporting organic carbon normalization in the

individual tests  (Nebeker et al., 1989), is in contrast with evidence supporting normalization

overall tests with the same sediments spiked with endrin, is most likely because organic carbon

concentrations differed by less than a factor of four and variability inherent in these tests limited

the capacity for discrimination.  Sediments tested by Stehly (1992) further provide strong

evidence which also supports the need  for normalization for endrin (Table 4-1). The organic

carbon concentrations for these sediments ranged from 0.07 to  1.75% (a factor of 25).  On a

dry weight basis, 4-day LC50 values for Diporeia sp. ranged from 0.012 to 0.224 /tg/g (a factor

of 18.7). The organic carbon normalized LCSOs were within a factor of 2.4; range 12.8 to 31.3

/ig/goc-

       Although it is important to demonstrate that organic carbon normalization is necessary

if SQC are to  be derived using the EqP approach, it is fundamentally more important to

demonstrate that 'Koc and water only effects concentrations can be used to predict the effects

concentration for endrin and other nonionic organic chemicals on an organic carbon basis for

a range of sediments. Evidence supporting this prediction for endrin and other nonionic organic

chemicals  follows in Section 4.3.



4.2 CORRELATION BETWEEN ORGANISM RESPONSE AND PORE WATER
   CONCENTRATION:

       One corollary of the EqP theory is that pore water LCSO's for a given organism should

be constant across sediments of varying organic carbon content (U.S. EPA, 1993a). Appropriate
                                                                                 ;
pore water LC50 values are available from two studies using endrin (Table 4-1).  Nebeker et

                                         4-8

-------
al. (1989) found 10 day LC50 values for endrin based on pore water concentrations ranged 1.8
                          .•         '*   i;          >,
to 2.1 /tg/L for EL azteca exposed to three sediments. Overlying water LC50 values from these

static tests and those conducted using the same sediments by Schuytema et al. (1989) were

similar; 1.1 to 3.9 /tg/L.  Stehly (1992) found that 10 day pore water LC50 values for Diporeia

sp. ranged from 0.63 to 2.2 jig/L (a factor of 3.5); this is considerably less than the range in
                                                                             *
dry wt.  LCSO's, 0.012 to 0.224 /tg/g  (a factor  of 18.7), for three sediments  from Lake

Michigan having 0.07 to  1.75% organic carbon.

     A more detailed evaluation of the degree to which the response of benthic organisms can

be predicted from toxic units of substances hi pore water can be made utilizing results from

toxicity tests  with sediments  spiked with other  substances, including  acenaphthene and

phenanthrene (Swartz,  1991), endrin (Nebeker et al., 1989; Schuytema et al., 1989), dieldrin

(Hoke 1992), fluoranthene (Swartz et al.,  1990, DeWitt et al., 1992), orkepone (Adams et al.,

1985) (Figure 4-1; Appendix B). The data included in this analysis come from tests conducted

at EPA laboratories or from tests which utilized designs at least as rigorous as those conducted

at the EPA laboratories.  Tests with acenaphthene and phenanthrene used two  saltwater

amphipods (J^jocheirus plumulosus and Eohaustorius estuarius).  Tests with fluoranthene used

a saltwater amphipod (Rhepoxynius abronius') and  marine sediments.  Freshwater sediments

spiked with endrin were tested using the amphipod  (H. azteca): the midge Chironomus tentans

was tested using kepone. Figure 4-1 presents the percentage mortalities of the benthic species

tested in individual treatments for each chemical versus "pore water toxic units" (PWTUs) for

all sediments tested.  PWTUs are the concentration of the chemical in pore water G*g/L) divided

by the water only LC50 (jt/L).  Theoretically, 50% mortality should occur at one interstitial
                                          4-9

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-------
 water toxic unit. At concentrations below one PWTU there should be less than 50% mortality,
                                   i
.and at concentrations above one PWTU there should be greater than 50% mortality. Figure 4-1

 shows that at concentrations below one  PWTU mortality was generally low, and  increased

 sharply at approximately one PWTU.  Therefore, this comparison supports the concept that

 interstitial water concentrations can be used to predict the response of an organism to a chemical

 that is not sediment-specific.  This concept was not used to derive sediment quality criteria

 because of the complexation of non-ionic organic chemicals with pore water DOC (Section 2)

 and the difficulties of adequately sampling pore waters.



 4.3 TESTS OF THE EQUILIBRIUM PARTITIONING PREDICTION OF SEDIMENT
    TOXICITY:

       SQC derived using the EqP approach utilize partition coefficients and FCVs from WQC

 documents to  derive the SQC concentration for protection of benthic organisms. The partition

 coefficient (KoC) is used to normalize exposure concentrations to those which are biologically

 available across sediment types.  The data required to test the organic carbon normalization for

 endrin in sediments are available for one benthic species. Data from tests with water column

 species were not included in this analysis. Testing of this component of SQC derivation requires

 three elements: (1) a water-only effect concentration, such as a 10-day LC50 value in /*g/L; (2)

 an identical sediment effect concentration on an organic carbon basis,  such as a 10-day LC50

 value in /*g/goc; and (3) a partition coefficient for the chemical, KQC in L/Kgoc.   This section

 presents  evidence that the observed effect concentration in sediments (2) can  be predicted

 utilizing the water effect concentration (1) and the partition coefficient (3).

        Predicted ten-day LC50 values from endrin-spiked sediment tests with H. azteca (Nebeker

                                          4-11

-------
et al.,1989; Schuytema et al., 1989) were calculated (Table 4-2) using the Log,oKoC value of
                          :
4.84 from Section 2 of this document and the sediment LCSO's (Nebeker et al.  1989) from tests

conducted jointly by these authors.  Overall, ratios of actual to predicted LCSOs for endrin

averaged 0.44 (range 0.18 to  0.90) in nine tests with three sediments.

 .  .    A more detailed evaluation of the accuracy and precision of the EqP prediction of the

response of benthic organisms can be made using the results of toxicity tests  with amphipods

exposed to sediments spiked with acenaphthene, phenanthrene, dieldrin, endrin, or fluoranthene.

 The data included in this analysis come from tests conducted at EPA laboratories or from tests

which utilized designs at least as rigorous as those conducted at the !BPA laboratories. Data from

the kepone experiments are not included because a measured KQW for kepone obtained using the

slow stir flask method is not available.   Swartz  (1991) exposed the saltwater amphipods E.

estuarius and L. plumulosus to acenaphthene in three marine sediments having organic carbon

contents ranging from 0.82 to 4.2% and to phenanthrene in three marine sediments having

organic carbon contents ranging from 0.82 to 3.6%. Swartz et al. (1990) exposed the saltwater

amphipod IL abronius to fluoranthene in three marine sediments having 0.18, 0.31 and 0.48%

organic carbon.   Hoke and Ankley (1991)  exposed the amphipod Hyalella  azteca to three

dieldrin-spiked freshwater sediments having 1.7, 3.0 and 8.5 % organic carbon and Hoke (1992)

exposed the midge C. tentans to two freshwater dieldrin-spiked sediments having 2.0 and 1.5

% organic carbon.  Nebeker  et al. (1989) and Schuytema et al. (1989) exposed H.  azteca to

three endrin-spiked sediments having 3.0, 6.1 and 11.2% organic carbon.   Figure 4-2 presents

the percentage  mortalities  of amphipods  in individual  treatments of each chemical versus

"predicted sediment toxic units" (PSTU) for each sediment treatment. PSTUs are the
                                         4-12

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concentration of the chemical in sediments G*g/goc) divided by the predicted LC50 (/tg/goc) i°



sediments {the product of KQC and the 10-day water only LC50).  In this normalization, 50%



mortality should occur at one PSTU.   At concentrations  below one PSTU mortality was



generally low, and increased sharply at one PSTU. The means of the LCSOs for these tests



calculated on a PSTU basis were 1.90 for acenaphthene, 1.16 for dieldrin, 0.44 for endrin, 0.80




for fluoranthene and 1.22 for phenanthrene.  The mean value for the five chemicals is 0.99.




This illustrates that the EqP method can account for the effects of different sediment properties




and properly predict the effects concentration in sediments using effects concentration from water




only exposures.
                                        4-15

-------

-------
                                    SECTIONS








                     CRITERIA DERIVATION FOR ENDREST








5.1 CRITERIA DERIVATION:




      The water quality criteria (WQC) Final Chronic Value (FCV), without an averaging



period or return frequency (See section 3), is used calculate the sediment quality criteria (SQC)



because it is probable that the concentration of contaminants in sediments are relatively stable




over time, thus exposure to sedentary benthic species should be chronic and relatively constant.




This is in contrast to the situation in the water column, where a rapid change in exposure and



exposures of limited durations can occur due to fluctuations in effluent concentrations, dilutions



in receiving waters or the free-swimming or planktonic nature of water column organisms.  For




some  particular uses of the SQC it may be appropriate to use the areal extent and vertical



stratification of contamination of a  sediment at a site in much the same way that averaging



periods or mixing zones are used with WQC.




      The FCV  is the value that should protect 95% of the tested species included in the



calculation of the WQC from chronic effects of the substance. The FCV is the quotient of the



Final  Acute Value (FAV), and the final Acute Chronic Ratio (ACR) for the substance.  The




FAV is an estimate of the acute LC50 or EC50 concentration of the substance corresponding to






                                       5-1

-------
 a cumulative probability of 0.05 from eight or more families for the genera for which acceptable
                          :
 acute tests have been conducted on the substance.  The ACR  is the mean ratio of acute to

 chronic toxicity for three or more species exposed to the substance that meets minimum database

 requirements.  For more information on the calculation of ACRs, FAVs, and FCVs see the

•National Water Quality Criteria Guidelines (Stephan et al., 1985).   The FCV used in this

 document differs from the FCV in the endrin WQC document (U.S. EPA, 1980) because it

 incorporates recent data not included in that document, and omits  some data which does not meet

 the data requirements established in the WQC Guidelines (Stephan et al., 1985).

       The equilibrium partitioning (EqP) method for calculating SQC is based on the following

 procedure.  If FCV Gig/L) is the chronic concentration from the WQC for the chemical of

 interest, then the SQC ftig/g sediment), is  computed using  the partition coefficient, KP (L/g

 sediment), between sediment and pore water:

              SQC = KP FCV                                                  (5-1)

       Since organic carbon is the predominant sorption phase for nonionic organic chemicals

 in naturally occurring  sediments, (salinity, grainsize  and  other sediment parameters have

 inconsequential roles in- sorption, see  sections 2..1 and 4.3)  the  organic  carbon partition

 coefficient, (Koc) can be substituted for KP.  Therefore, on a sediment organic carbon basis, the

 SQCoc (Mg/goc), is:

              SQCoc = Koc FCV                                               (5-2)

 Since (Koc) is presumably independent of sediment type for non-ionic organic chemicals, so also

 is SQCoc. Table 5-1 contains the calculation of the endrin SQC.

       The organic carbon normalized SQC is applicable to  sediments with an organic carbon
                                          5-2

-------
fraction of f^c S:  0.2%.  For sediments with f^ < 0.2%, organic carbon normalization and
                         }         -•"   ,:-;.;,         ' *'"-  - ,i*
SQC may not apply.



           TABLE 5-1. SEDIMENT QUALITY CRITERIA FOR ENDRIN.
        Type of         LogKow     LogKoc      FCV
        Water Body      (L/kg)        (L/kg)       fcg/L)        (ftg/goc)
        Freshwater      4.92          4.84       • 0.061           4.2'
        Saltwater       4.92          4.84        0.011           0.76"
                                                                            Soc
            = (104-84 L/kgocXlO-3 kgoc/gocKO.061 ug endrin/L) = 4.2 /tg endrin/g0


            = (104-84 L/kgo^-aO-3 kgoc/gocWO.Oll fig endrin^) = 0.76 jig endrin/goc


       Since organic carbon is the factor controlling the bioavailability of  nonionic organic

compounds in  sediments, SQC have been developed on an organic carbon basis, not on a dry

weight basis.  When the chemical concentrations in sediments are reported as  dry weight

concentration  and  organic  carbon data are available,  it is best  to convert the  sediment

concentration to /tg chemical/gram organic carbon. These concentrations can then be directly

compared to the SQC  value.   This facilitates  comparisons between  the SQC and  field

concentrations  relative to identification of hot  spots and  the degree to  which  sediment

concentrations  do or do not exceed SQC values.  The conversion from dry weight to organic

carbon normalized concentration can be done using the following formula:

       jtg Chemical/goc  = Mg Chemical/gDRYWT  -f- (% TOC -*• 100)

                       = /tig Chemical/gDRYWT • 100 •*• % TOC

                                         5-3

-------
      For example, a freshwater sediment with a concentration of 0.1 /*g chemical/gDRY wr and
                         r

0.5% TOG has an organic caiix>n-norrnalized concentration of 20 /*g/goc (0-1 A*g/gnRYwr * 100


-t- 0.5 = 20 /tg/goc) which exceeds the SQC of 4.2 jtg/goc-  Another freshwater sediment with


the same concentration of endrin (0.1 /*g/gDRYwr) but a TOC concentration of 5.0% would have


an organic carbon normalized concentration of 2.0 ftg/goc (0.1 /xg/goRYwr • 100 -5- 5.0 = 2.0


Mg/goc). which is below the SQC for endrin.

      In situations where  TOC values for particular sediments are not available, a range of
                                                    \
TOC values may be used in a "worst case" or  "best case" analysis.  In this case, the organic


carbon-normalized SQC values (SQCoc) may be "converted" to dry weight-normalized SQC


values (SQCDRYWT.)-  This "conversion" must be done for each level of TOC of interest:


             SQCDRYWT  =  SQCoc Otg/goc) • (%  TOC -J- 100)


where SQCDRy\vT is the dry weight normalized SQC value.  For example, the SQC value for


freshwater sediments with 1 %  organic carbon is 0.042 /tg/g:


              SQCDRYWr. = 4.2 Atg/goc • 1% TOC 4- 100 = 0.042 ftg/gnRYwr

This method is used in the  analysis of the STORET data in section 5.4.


5.2  UNCERTAINTY ANALYSIS:


    Some of the uncertainty of the endrin SQC can  be estimated from the degree to which the


EqP model, which is the basis for the criteria, can rationalize the available sediment toxicity


data. The EqP model asserts that (1) the bioavailability of non-ionic organic chemicals across


sediments is equal on an organic carbon basis, and (2) that the effects concentration in sediment


Gig/goc) can  be  estimated from the product of the effects concentrations from water only


exposures (/ig/L) and the partition coefficient KQC (L/kg).  The uncertainty associated with the
                                         5-4

-------
SQC can be obtained from a quantitative estimate of the degree to which the available data
                          ••         '''.   '-;         **  '•'.
support these assertions.

    The data used in the uncertainty analysis are from the water only and sediment toxicity tests

that have been conducted to fulfill the minimum database requirements for the development of

SQC (See Section 4.3 and the Technical Basis Document; U.S. EPA, 1993a). These freshwater

and saltwater tests span a range of chemicals and organisms; they include exposures using water

only and a number of sediments; and they are replicated within each chemical - organisms -

exposure media treatment. These data are analyzed using an analysis of variance (ANOVA) to

estimate the uncertainty (i.e. the variance) associated with each of these sources of variation: that

associated with varying the exposure media;  and that associated with experimental error.  If the

EqP model were  perfect,  then  there would be  only  experimental error.  Therefore, the

uncertainty associated with the use of EqP is the variance associated with varying exposure

media.

    The data used in the uncertainty analysis are illustrated in Figure 4-2. The data for endrin

are summarized in Appendix B. LCSOs for sediment and water-only tests were computed from

these data.  The EqP model can be used to normalize the data in order  to put  it on a common

basis. The LC50s from water-only exposures (LC50W; pg/L) are related to the organic carbon-

normalized LCSOs from sediment exposures (LC50SiOC; /*g/goc) v& the partitioning equation:
             LC50S>OC = KocLC50w                                      (5-3)
The EqP model asserts that the toxicity of sediments expressed on an organic carbon basis equals
                                          5-5

-------
the toxicity in water tests multiplied by the KQC.  Therefore, both LC50S(OC and Koc*LC50w

                         t

are estimates  of the true LC50oc for each chemical-organism pair.  In this analysis, the



uncertainty of KQC is not treated separately.  Any error associated with KQC will be reflected in



the uncertainty attributed to varying the exposure media.



    In order to perform an analysis of variance, a model of the random variations is required.
                            •
     •

As discussed above, experiments that seek to validate equation 5-3 are subject to various sources



of random variations. A number of chemicals and organisms have been tested. Each chemical -



 organism pair is tested in water only exposures and using different sediments.  Let a represent



the random variation due to this source. Also, each experiment is replicated.  Let G represent



the random variation due to this source.  If the model were perfect, there would be no random



variations other than that due to experimental error which is reflected in the replications.  Hence



or represents the uncertainty due to the approximations inherent in the model and G represents



the experimental error.  Let (O2 and (oc) corresponding to a water only sediment



exposure; & are the population ln(LC50) for chemical - organism pair i. The error structure is



assumed to be lognormal which corresponds to assuming that the errors are proportional to the



means, e.g. 20%, rather than absolute quantities,  e.g. l>g/goc-  The statistical problem



is to estimate ^ , (ffj2, and  (
-------
 estimates (U.S. EPA,  1993a).  The results are shown in Table 5-2.
 TABLE 5-2: ANALYSIS OF VARIANCE FOR DERIVATION OF SEDIMENT
             QUALITY CRITERIA CONFIDENCE LIMITS FOR ENDRIN.
             Source of Uncertainty            Parameter   Value
                                            0*g/goc)


             Exposure media                   
-------
                 TABLE 5-3.  SEDIMENT QUALITY CRITERIA
                     CONFIDENCE LIMITS FOR ENDRIN.

                                     Sediment Quality Criteria
                                   95 % Confidence Limits (/
                 Type of        SQCoc
                 Water Body    /*g/goc            Lower  Upper
                Freshwater    4.2               2.0    9.1

                Saltwater     0.73              0.35   1.6



      The organic carbon normalized SQC is applicable to  sediments with an organic carbon

fraction of fix: 3:  0.2%.  For sediments with f^ < 0.2%, organic carbon normalization does

not apply and the sediment quality criteria do not apply.



5.3   COMPARISON OF ENDRIN SQC AND UNCERTAINTY CONCENTRATIONS TO
      SEDIMENT  CONCENTRATIONS  THAT ARE TOXIC OR PREDICTED TO BE
      CHRONICALLY ACCEPTABLE.

      Insight into  the magnitude of protection  afforded to benthic species  by  SQC

concentrations and 95% confidence intervals can be inferred using effect concentrations from

toxicity tests with benthic species exposed to  sediments  spiked with  endrin and sediment

concentrations predicted to be chronically safe  to organisms tested in  water-only exposures

(Figures 5-1 and 5-2).  This is because effect concentrations in sediments can be predicted from

water-only toxicity data and KOC values (See Section 4). Chronically acceptable concentrations

are extrapolated from Genus Mean Acute Values (GMAV) from water-only, 96-hour lethality

                                       5-8

-------
   1000000
    100000
 o
 o
w
§
O

o
DC
X
O
IU
5
CO

z
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o
o


g
o
01
rr
OL
     10000
      1000
       100
        10
 Figure 5-1.
                   Water-only tests:  (96HR LC50 + ACR) Koc


                  A Arthropods

                  D Other Invertebrates

                  O Fishes
                     ACR. 3.10         4

                     Sediment Tests: 10d LC50

                     *k Diooreia sp. - 18.

                        range 3 tests. 12.8-31.1


                     ® H. azteca- 126 ng/gjjc

                        range 9 tests « 53.6 - 257

                     HH L hoffmeisteri - 194000 gg/q^ (4d>

                        range 3 tests - 117000 - 320000

                     ^ S. heringianus - 127000 Hg/g^. (4d)

                        range 4 tests  - 60000 - 309000
                     oo
                                                                    upper: 9.1 jig/goc
                                                                    lower: 2.0 jig/goc
                         20
                                       40
60
80
100
                       PFRCENTAGE RANK OF FRESHWATER GENERA

             Comparison between SQC concentrations and 95% confidence intervals, effect

             concentrations from benthic organisms exposed to endrin-spiked sediments and

             sediment concentrations predicted to be chronically safe in fresh water sediments.

             Concentrations predicted to be chronically safe (Predicted Genus Mean Chronic

             Values, PGMCV) are  derived from the Genus Mean Acute Values (GMAV),

             water-only 96-hour lethality tests, Acute Chronic Ratios (ACR) and KOC values'

             PGMCV = (GMAV * ACR)Koc. Symbols for PGMCVs are A for arthropods,

             O for fishes and D for other invertebrates. Solid symbols are benthic genera;

             open symbols water column genera. Arrows indicate greater than values.  Error

             bars around sediment LC50 values indicate observed range of LCSOs.


                                         5-9

-------
100000
*0
^ 10000
UJ
§ 1000
o
o
DC
0 100
z
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E
CO
z 10
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C3
PREDICTED i
o
•
f Water-only tests: (96HR LCSO-s-ACR) KOc
A Arthropods
] D Other Invertebrates
O Fishes •
~ Log10 KQC -4.84
: ACR-3.10
•
r
-
; A
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: A
•o.A* .
r ,o»
• o °
Q Q upper, i .0 M-y/Qoc

'I'll III! 1
                         20          40          60           80

                      PERCENTAGE RANK OF SALTWATER GENERA
100
Figure 5-2.   Comparison between SQC concentrations and 95% confidence intervals, effect
             concentrations from benthic organisms exposed to endrin-spiked sediments and
             sediment concentrations predicted to be chronically safe in salt water sediments.
             Concentrations predicted to be chronically safe (Predicted Genus Mean Chronic
             Values, PGMCV) are  derived from the Genus Mean Acute Values (GMAV),
             water-only 96-hour lethality tests, Acute Chronic Ratios (ACR) and KQC values.
             PGMCV = (GMAV + ACR)Koc. Symbols for PGMCVs are A for arthropods,
             O for fishes and D for other invertebrates.  Solid symbols are benthic genera;
             open symbols water column genera. Arrows indicate greater than values. Error
             bars around sediment LC50 values indicate observed range of LC50s.
                                       5-10

-------
 tests using acute-chronic ratios (ACR). Therefore, it may be reasonable to combine these two




 predictive procedures to estimate, for endrin, chronically acceptable sediment concentrations



 (Predicted Genus Mean Chronic Value (PGMCV)) from GMAVs (Appendix A), ACRs (Table



 3-2) and the KOC (Table 5-1):             .




             PGMCV = (GMAV + ACR)*Koc                          (5-7)




       Each predicted GMCV for tested fishes, arthropods  or other invertebrates tested in water



 is plotted against the percentage rank of its sensitivity.  Results from toxicity tests with benthic




 organisms exposed to sediments  spiked with endrin (Table  4-1) are placed in the predicted




 GMCV rank appropriate to the test-specific effect concentration.  (For example, the  10-day




 LC50 for H. azteca. 126 Mg/goc) is placed between the PGMCV of  105 /tg/goc for the mayfly,



 Ephemerella. and the PGMCV of jig/goc for the dipteran, Jjpjila.) Therefore, sediment test




 LC50 or other effect concentrations are intermingled in this figure with concentrations predicted



 to be chronically safe.  Care  should be taken by the  reader in interpreting these data with



 dissimilar endpoints.  The following discussion of SQC, organism sensitivities and predicted




 GMC Vs is not intended to provide accurate predictions of the responses of taxa or communities



of benthic organisms relative to specific concentrations of endrin in sediments in the field. It



is, however, intended to guide scientists and managers through the complexity of available data



relative to potential risks to benthic taxa posed by sediments  contaminated with endrin.




       The freshwater SQC for endrin (4.2 Mg/goc) is less than 34 of the 35 predicted GMCVs



and all of the LC50 values from spiked sediment toxicity tests. The PGMCV for the fish Perca




 (3 pg/goc) is less than the SQC. PGMCVs for 26 of 35 freshwater genera are greater than the




upper 95%  confidence interval of the SQC (9.1 /*g/goc)- PGMCVs for nine genera, including






                                         5-11

-------
six water column fish and three benthic arthropod genera are below the SQC upper 95%
                          i

confidence interval.   This illustrates why the slope of the species sensitivity distribution is


important.  It also suggests that if the extrapolation from water only acute lethality tests to


chronically acceptable sediment concentrations is accurate, these or similarly sensitive genera


may be chronically impacted by sediment concentrations marginailly less than the SQC and


possibly less than the 95 % upper confidence interval.  For endrin, the predicted GMCVs range


over three orders of magnitude from the most sensitive to the most tolerant genus. A sediment


concentration 10 times the SQC would include the GMCVs of 11 of the 21 benthic genera tested


including stoneflies, caddis flies, isopods and fish. Tolerant benthic genera such as the annelid


Lumbrieulus  might be expected to  not be chronically impacted in sediments with endrin


concentrations 1000X the SQC. Data from lethality tests with two freshwater amphipods, and


two freshwater annelids, exposed to endrin spiked into sediments  substantiate this range of


sensitivity; the LC50s from these tests range from 3 to 80,000 times the SQC of 4.0 jig/gbc.


       The saltwater SQC for endrin (0.76 A*g/goc) is less than any of the PGMCVs for saltwater


genera.   The  PGMCV for the  penaeid  shrimp  Penaeus  (0.83 /tg/goc) a°d the  fishes


Oncorhynchus  (1.07 jig/goc) and Menidia .(1-12 /*g/goc) are lower than the upper  95%


confidence interval for the SQC (1.6 i^g/goc)- F°r endrin, PGMCVs from the most sensitive


to the most  tolerant  saltwater genus range  over four orders  of magnitude.   A sediment


concentration 20 times the SQC would include the GMCVs of one-half of the 12 benthic genera


tested including one arthropod and five fish genera.   Other genera of benthic arthropods and


polychaetes, are less sensitive and might not be expected to be chronically impacted in sediments


with endrin concentrations 300X the SQC.
                                         5-12

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       5.4 COMPARISON OF ENDRIN SQC TO STORET AND NATIONAL STATUS AND
           TRENDS DATA FOR SEDIMENT ENDRIN:


       A STORET (U.S. EPA, 19895) data retrieval was performed to obtain a preliminary


assessment of the concentrations of dieldrin in the sediments of the nation's water bodies. Log


probability plots of dieldrin concentrations on  a dry weight basis in sediments are shown in
                                               •v

Figure 5-3.  Endrin is found at significant concentrations in sediments from rivers,  lakes and


near coastal water bodies in the United States.  This is due to its widespread use and quantity


applied during  the 1970s and 1980s.   It was banned on October 10, 1984.    Median


concentrations are generally at or near detection limits in most water bodies for data from before


and after 1986.  There is significant variability in endrin concentrations in sediments throughout


the country.  Lake samples  in EPA Region 9 appear to have relatively high endrin levels


(median  =  0.030 /tg/g)  prior to 1986.   The upper 10%  of the concentrations were


disproportionally found in streams, rivers and lakes in EPA Region 7 and streams, rivers, lakes


and estuaries in Region 9 prior to 1986. In some streams and rivers in Region 7 concentrations


remained high after 1986.


       The SQC for endrin can be compared to .existing concentrations of endrin in sediments


of natural water systems in the United States as contained in the STORET database (U.S. EPA,


1989b). These data are generally reported on a dry weight basis, rather than an organic carbon


normalized basis.  Therefore, SQC values corresponding to sediment organic carbon levels of


1 to  10% are be compared to endrin's distribution in sediments as examples only.  For fresh


water sediments, SQC values are 0.042 /tg/g dry weight in sediments having 1 % organic carbon


and 0.42 jig/g dry weight in sediments having 10% organic carbon; for marine sediments SQC


are 0.0076 /tg/g dry weight and 0.076 /tg/g dry weight, respectively. Figure 5-3 presents the


                                       5-13

-------
         Is
         B3
         CO »
                 10
                 10
                 TOTAL SAMPLES: 2677
                 MEASURED SAMPLES: 87
                                               50
                                     80  90
                                  99
                   99.9
10'

10

10

10

10

10

10
                  '1
                  "2
                  -4
                  "6
                      LAKE
TOTAL SAMPLES:  478
MEASURED SAMPLES:  12
                             1  fltllll
                                        1
                                                           fllltll 1
                                                                   Illllllll
                   O.lV VV 1
                   10   20
             50
80  90
99
99.9
                10
                                   10  20     50      80   90

                                      PROBABILITY
                                                  99
                                       99.9
Figure 5-3.   Probability distribution of concentrations of endrin in sediments from streams,
            lakes and estuaries in the United States from 1986 to 1990 from the STORET
            (U.S. EPA, 19895) database compared to the endrin SQC values of 0.42 pg/g in
            freshwater sediments having TOC  =  10%  and 0.042  /tg/g in  freshwater
            sediments having TOC = 1% and compared to SQC values for saltwater
            sediments of 0.076 jtg/g when TOC =10%  and 0.0076 jtg/g when TOC=1%.
            The upper dashed line on each figure represents the SQC value when TOC =
            10%, the lower dashed line represents the SQC when TOC = 1%.
                                      5-14

-------
 comparisons of these SQC to probability distributions of observed sediment endrin levels for



 streams and lakes (fresh water systems, shown on upper panels) and estuaries (marine systems,



 lower panel). For streams (n = 2,699) both the SQC of 0.042 pg/g dry weight for 1 % organic



 carbon sediments and the SQC  of 0.42 pg/g dry weight criteria  for  10% organic carbon



 freshwater sediments are exceeded by less than 1 %  of the data.  For lakes (n = 478) the SQC




 for 1 % organic carbon sediments is exceeded by about 2% of the data and the SQC of 0.42 pg/g




 dry weight criteria for 10% organic carbon freshwater sediments is exceeded by less  than 1 %




 of the data.  For estuaries (n = 150) the SQC of 0.0076 /tg/g dry weight for 1 % organic carbon




 salt water sediments are exceeded by about 8% of the data, and the SQC of 0.076 pg/g dry




 weight criteria for 10% organic carbon freshwater sediments are not exceeded by any of the




 data.   The above description of  endrin distributions in Figure  5-3 is misleading because it




 includes data from most samples  in which  the endrin concentration was below the detection



 limit.   These data are indicated on the plot as "less than" symbols (<), and plotted at the



 reported detection limits. Because these values represent upper bounds and not measured values



 the percentage of samples in which the SQC values  are actually exceeded may be less  than the



percentage reported.




       Regional specific differences in endrin concentrations may affect the above conclusions



concerning expected  criteria exceedences.  This analysis also does not consider other factors



such as the type of samples collected; (i.e., whether samples were from surficial grab  samples



or vertical core profiles), the relative frequencies  of sampling  in different study areas and



whether or not the same study areas were sampled during different time periods. It is presented




as an  aid in assessing the range of reported endrin  sediment concentrations and the extent to
                                         5-15

-------
which they may exceed the SQC.




5.5 UMTTAHONS TO THE APPLICABILITY OF SEDIMENT QUALITY CRITERIA:


       Rarely, if ever, are contaminants  found alone in naturally occurring sediments.
                                                             »

Obviously, the fact that the concentration of a particular contaminant does not exceed the SQC


does not mean that other chemicals, for which there are no SQC available, are not present in


concentrations sufficient to cause harmful effects. Furthermore, even if SQC were available for


all of the contaminants in a particular sediment, there might be additive or synergistic effects


that the criteria do not address.  In this sense the SQC represent "test case" criteria.


       It is theoretically possible that antagonistic reactions between chemicals could reduce the


toxicity of a given chemical such that  it might not cause unacceptable effects on benthic


organisms at concentrations above the SQC when it occurs with the antagonistic chemical.


However,  antagonism has rarely been demonstrated. What should be much more common are


instances where toxic effects occur at concentrations below the SQC because of the additivity


of toxicity of many common contaminants (Alabaster and Lloyd, 1982), e.g. heavy metals and


PAHs, and instances where other toxic compounds for which no SQC exist occur along with


SQC chemicals.


       Care must be used in application of EqP-based SQC in disequilibrium conditions.  In

                                                                                 "i
some instances site-specific SQC may be required to address this condition. EqP-based SQC


assume that nonionic organic chemicals are in equilibrium with the sediment and IW and are


associated with sediment primarily through adsorption into sediment organic carbon. In order


for these assumptions to be valid, the chemical must be dissolved hi IW and partitioned into
                                         5-16

-------
sediment organic carbon.  The chemical must, therefore, be associated with the sediment for a




sufficient length of time for equilibrium to be reached.  In  sediments  where particles of




undissolved endrin occur,  disequilibrium exists and criteria  are over protective.  In  liquid




chemical spill situations disequilibrium concentrations in interstitial and overlying water may be



proportionately higher relative to sediment concentrations.  In this case criteria may   be



underprotective.




       In very  dynamic  areas,  with  highly erosional  or depositional bedded sediments,




equilibrium may not be attained with contaminants.  However,  even high KQW nonionic organic




compounds come to equilibrium in clean sediment in a period of days,  weeks or months.



Equilibrium tunes  are shorter for mixtures of two sediments  each previously at equilibrium.



This is particularly relevant in tidal situations where large volumes of sediments are eroded and




deposited, yet near equilibrium conditions may predominate over large areas. Except for spills



and paniculate  chemical, near equilibrium is the rule and  disequilibrium  is uncommon.   In



instances where it  is suspected  that EqP does not apply for a particular sediment because of



disequilibrium discussed above, site-specific methodologies may be applied (U.S. EPA,  1993b).
                                         5-17

-------

-------
                                      SECTION 6



                               CRITERIA STATEMENT








       The procedures described in the "Technical Basis for Deriving Sediment Quality Criteria




for Nonionic Organic  Contaminants for the  Protection of Benthic  Organisms  by Using



Equilibrium  Partitioning" (U.S.  EPA,  1993a) indicate that  benthic  organisms  should  be




acceptably protected in freshwater sediments  containing <_ 4.2 pg endrin/g organic carbon and




saltwater sediments containing .<_ 0.76 /*g endrin/g organic carbon, except possibly where a




locally important species is very sensitive or sediment organic carbon is < 0.2%.




       Confidence limits of 2.0 to 9.1 /tg/goc for freshwater sediments and 0.35 to 1.6 pg/goc



for saltwater sediments are provided as an estimate of the uncertainty associated with the degree




to which the observed concentration in sediment  (jug/goc), which may be toxic, can be predicted



using the organic carbon partition coefficient (Koc)  and the water-only effects  concentration.



Confidence limits do  not incorporate uncertainty associated with water quality criteria.   An




understanding of the theoretical basis of the equilibrium partitioning methodology, uncertainty,



the partitioning and toxicity of endrin, and sound judgement are required in the  regulatory use



of SQC and their confidence limits.




       These concentrations represent the U.S. EPA's best judgement at this time of the levels



of endrin in sediments that would be protective  of benthic species. It is the philosophy of the



Agency and the EPA Science Advisory Board that the use of sediment quality criteria (SQCs)



as stand-alone,  pass-fail  criteria is not recommended for all applications  and should frequently
                                          6-1

-------
trigger additional studies at sites under investigation. The upper confidence limit should be
                          ;
interpreted as a concentration above which impacts  on benthic  species should be expected.


Conversely, the lower confidence limit should be interpreted as a concentration below which


impacts on benthic species should be unlikely.
                                          6-2

-------
                                     SECTION?
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 U.S. Environmental Protection Agency. 1989b.  "Handbook: Water Quality Control Information
       System, STORET," Washington,  D.C.,  20406.

 U.S. Environmental Protection Agency. 1993a.  Technical Basis for Deriving Sediment Quality
       Criteria for Non-Ionic Organic Contaminants for the Protection of Benthic Organisms by
       Using Equilibrium Partitioning.  (In review).

 U.S. Environmental Protection Agency.  1993b.  Guidelines for the deriving Site-Specific
       Sediment Quality Criteria for the  Protection of Benthic Organisms.  (In Review).

U.S. Environmental Protection Agency. 1993c.  Guide for the Use and Application of Sediment
       Quality Criteria for Non-Ionic Organic Chemicals.  (In Review).

Wang,  Y.S., 1988.  The contamination and bioconcentration of aldrin, dieldrin and endrin in
       lower lakes at rocky mountain arsenal. Ph.D. Thesis, Colorado State University.
                                        7-7

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