United States
           Environmental Protection
           Agency
             Office of Water
             Regulations and Standards
             Washington. DC 20460
?/EPA
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SEDIMENT QUALITY CRITERIA METHODOLOGY
  VALIDATION: CALCULATION  OF SCREENING
 LEVEL CONCENTRATIONS FROM FIELD DATA
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          A. CALCULATION OF SPECIES SCREENING LEVEL CONCENTRATION (SSLC)
   U.S. Environmental Protection Agency
      Criteria and Standards Division
           Washington, B.C.  20460

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 SEDIMENT QUALITY CRITERIA METHODOLOGY
  VALIDATION: CALCULATION  OF SCREENING
  LEVEL CONCENTRATIONS  FROM FIELD  DATA

      Work Assignment 56, Task IV

               July 1986

                  for
  U.S. Environmental  Protection Agency
    Criteria and Standards Division
            Washington,  D.C.

             Submitted  by
                BATTELLE
Washington Environmental Program Office
            Washington,  D.C.

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                  FINAL REPORT
SEDIMENT QUALITY CRITERIA METHODOLOGY VALIDATION:
 CALCULATION OF SCREENING LEVEL CONCENTRATIONS
                 FROM FIELD DATA
                   Prepared by

 J.M. Neff, D.J. Bean, B. W. Cornaby, R.M. Vaga,
        T.C. Gulbransen, and J.A. Scanlon
                    July 1986
                  Prepared for
      U.S. Environmental Protection Agency
         Criteria and Standards Division
    Office .of Water Regulation and Standards
                Washington, D.C.
                  Submitted by

                    BATTELLE
     Washington Environmental Program Office
               2030 M Street, N.W.
                Washington, D.C.

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                               1.
                            ABSTRACT
        The  U.S.  Environmental  Protection Agency, Criteria and
Standards  Division  has  initiated an effort to develop sediment
quality  criteria.  Sediment  quality  criteria are to be used in
conjunction   with   water   quality  criteria  to  protect  U.S.
freshwater  and saltwater bodies and their uses. Sediment quality
criteria  are  needed  because  credible  national  water quality
criteria alone are not sufficient to ensure protection of aquatic
ecosystems consistent with provisions of the Clean Water Act.

        EPA   is   evaluating  several  different  approaches  to
developing  technically  sound  and  defensible  sediment quality
criteria. The Screening Level Concentration (SLC) approach is one
of  the  approaches  EPA  is  evaluating.  The  objectives of the
investigation  described  in  this report are to evaluate the SLC
approach   empirically   for  nonpolar  organic  contaminants  in
sediments  and  to assess its strengths and weaknesses for use in
conjunction  with  other  methods  for  deriving sediment quality
criteria.

        The  SLC  approach uses field data on the co-occurence in
sediments   of   benthic  infaunal  invertebrates  and  different
concentrations  of  the nonpolar organic contaminant of interest.
The  SLC  is  an  estimate  of  the  highest  concentration  of a
particular  nonpolar  organic contaminant in sediment that can be
tolerated  by  approximately  95  percent  of benthic infauna. As
such,  the SLC value could be used in a regulatory context as the
concentration  of  a  contaminant in sediment which, if exceeded,
could  lead  to  environmental  degradation  and  therefore would
warrant further investigation.

        To  calculate  a  SLC,  large databases are required that
 :ontain  synoptic  observations  of  the  concentrations  of  the
specific nonpolar organic chemicals of interest in the sediments,
concentrations  of total organic carbon in the sediments, and the
species   composition   of  the  benthic  infauna.  A  cumulative
frequency  distribution  of  all  stations  at which a particular
species  of  infaunal  invertebrate is present is plotted against
the  organic  carbon-normalized  concentration in sediment of the
contaminant  of interest. The concentration of the contaminant at
the locus representing the 90th percentile of the total number of
stations  at  which  the  species  was  present  is  estimated by
interpolation    and   termed   the   species   screening   level
concentration  (SSLC).  Next, SSLCs for a large number of species
are  plotted as a frequency distribution, the concentration above
which 95 percent of the SSLCs are found is termed the SLC.

        SLCs were calculated in this way for five contaminants in
freshwater   sediments  (total  polychlorinated  biphenyls,  DDT,
heptachlor   epoxide,   chlordane,   and   dieldrin)   and   nine

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                               2.
contaminants   in   saltwater  sediments  (total  polychlorinated
biphenyls,    DDT,   naphthalene,   phenanthrene,   fluoranthene,
benz(a)anthracene,   chrysene,   pyrene,   and   benzo(a)pyrene).
Freshwater  SLCs  ranged  from 0.008 ug/g sediment organic carbon
for  heptachlor epoxide to 0.290 ug/g sediment organic carbon for
total PCBs. Saltwater SLCs ranged from 4.26 ug/g sediment organic
carbon  for  total  PCBs to 43.4 ug/g sediment organic carbon for
pyrene.   There  are  several  possible  reasons  for  the  large
differences  in the freshwater and saltwater SLC values. The most
important probably is the differences in ranges of organic carbon
normalized  contaminant  concentrations  in  sediments covered by
each  database.  The concentrations of contaminants in freshwater
sediments  tended  to  be  low  as  evidenced  by  the  many zero
contaminant  values.  The  saltwater  database tended toward more
highly  contaminated  sediments. Based on these observations, the
freshwater  SLC  values may be conservative and the saltwater SLC
values may be too high.

        the  SLC  approach  has  demonstrated sufficient merit to
warrant further evaluation and elaboration . Given a large enough
database  and  minor modifications to the methods for calculating
SSLCs and SLCs, the approach will provide a conservative estimate
of  the  highest  o.rganic  carbon  normalized  concentrations  of
individual  contaminants  in  sediments  that can be tolerated by
approximately 95 percent of benthic infauna. It is essential that
the  database contain organic carbon normalized concentrations of
the  sediment  contaminants  of  interest  that span a wide range
(preferably  two  orders of magnitude or more) and include values
from   locations  known  to  be  heavily  contaminated.  Low  and
intermediate  sediment contaminant concentrations are also needed
to  ensure that pollutant-sensitive species are not excluded from
the  analysis.  High  values  are  needed  to ensure that benthic
communities are in fact being adversely affected at some stations
by  the  contaminant  of  interest.  Before SLCs can be used in a
regulatory  context, the databases upon which they are based must
be  subjected  to  a  rigorous quality assurance review. Both the
biological   and  the  chemical  data  should  be  evaluated  for
accuracy, comparability, and representativeness.

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                               3.
        SEDIMENT QUALITY CRITERIA METHODOLOGY VALIDATION:
  CALCULATION OF SCREENING LEVEL CONCENTRATIONS FROM FIELD DATA
                        1.0 INTRODUCTION


1.1 BACKGROUND

        The  U.S.  Environmental  Protection Agency, Criteria and
Standards  Division (EPA-CSD)  has initiated an effort to develop
sediment  quality  criteria.  Sediment quality criteria are to be
used  in conjunction with water quality criteria to protect U. S.
freshwater   and  saltwater  bodies  and  their  uses/  including
fisheries, recreation, and drinking water.

        Sediment  quality  criteria  are  needed because credible
national  water  quality  criteria  alone  are  not sufficient to
ensure   protection   of   aquatic   ecosystems  consistent  with
provisions  of  the  Clean Water Act. Section 304(a) of the Clean
Water  Act  authorizes  EPA  to  develop  and  implement sediment
criteria  analogous  to EPA's water quality criteria (Gilford and
Zeller,  1986). Many instances have been recorded in recent years
of   environmental   degradation  or  unacceptable  environmental
quality  in  freshwater  and  saltwater ecosystems in which water
quality  criteria  have  not been exceeded. Probable explanations
are  that: 1) contaminated sediments can serve as  reservoirs for
continual  recontamination  of  the  overlying water column (ie.,
Larsson,  1985); and 2) aquatic organisms interact with sediments
either  directly  through  physical contact or indirectly through
consumption of food organisms that are intimately associated with
sediments,  and  through  this  mechanism may become contaminated
with  pollutants  associated  with  sediments  (ie.,  Pavlou  and
Dexter,   1979;   Varanasi   et  al.,  1985).  Thus,  to  prevent
environmental   degradation,   specific   protection  limits  are
required   for   both  aqueous  and  sediment  phase  contaminant
concentrations.

        The  development  of  technically  sound sediment quality
criteria  that  can be applied widely to sediments from different
sources  is  a  difficult task. Chemical contaminants interact in
complex, often poorly understood ways with sediment particles and
may  be  present  in  sediments in a variety of adsorbed or solid
forms.  As  a  general  rule, chemical pollutants associated with
sediments  are  much  less  bioavailable  and  toxic  to  aquatic
organisms  than  the  same  pollutants  in  solution in the water
(Neff,  1984;  Lake  et  al.,  1985).  However, there is no known
simple relationship between the concentration of a contaminant in
sediment  and  its  toxicity to aquatic organisms in contact with
that sediment.

        EPA,  in  recognition  of  the complexity of the sediment
contamination   problem,   has   adopted  a  phased  approach  to

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                               4.
developing  sediment  quality  criteria.  In the first phase, EPA
sponsored  two  Sediment Quality Criteria Workshops, the first in
November 1984, and the second in February 1985. At the workshops,
experts  on  sediment  chemistry  and  toxicology  identified and
described  several approaches or strategies for deriving sediment
quality  criteria  for  three  classes  of chemical contaminants:
nonpolar  organics,  heavy  metals,  and  polar organics. EPA-CSD
currently is supporting several research projects to evaluate and
refine   some  of  the  methods  proposed  at  the  workshop  for
developing   sediment   quality   criteria.  The  results  of  an
evaluation   of   one  of  those  methods,  the  Screening  Level
Concentration  (SLC)  approach,  is  the  subject of this report.
These SLCs will be used with data generated by other tasks in the
sediment  criteria  program  dealing with elaboration of sediment
normalization  theory  and  development  of  solid phase bioassay
protocols  for nonpolar organic chemicals to develop a method for
deriving sediment quality criteria.

        The  objectives  of  the  investigation described in this
report are to evaluate the SLC approach empirically and to assess
its  strengths  and  weaknesses  for  deriving  sediment  quality
criteria.  The  SLC  approach  was  evaluated  by  using  several
existing  databases  to  derive  a  minimum of five SLCs each for
freshwater and saltwater sediments.

1.2 THE SCREENING LEVEL CONCENTRATION APPROACH

         The  screening  level  concentration approach uses field
data   on   the   concentration   of  specific  nonpolar  organic
contaminants  in  sediments  and the presence of specific taxa of
benthic  infauna  in  that  sediment to calculate screening level
concentrations   (SLCs).   The   SLC   is  defined  here  as  the
concentration  of  a  nonpolar  organic  contaminant  in sediment
which,  if  exceeded, could lead to environmental degradation and
therefore  would warrant further investigation. It is an estimate
of  the  highest  concentration  of a particular nonpolar organic
pollutant  in  sediment that can be tolerated by approximately 95
percent  of benthic infauna.  The SLC approach is consistent with
the strategy that assessments of sediment quality must involve at
a  minimum  measurements  of concentrations of toxic chemicals in
the  sediments,  toxicity  of  the  sediments  to  representative
infauna,  and  evidence  of  modified resident infaunal community
structure  in the contaminated sediments (Chapman and Long, 1983;
Long and Chapman, 1985).

        Before  an  SLC  can be derived, a large database must be
compiled. This database must contain synoptic observations of the
concentrations  of  the  specific  nonpolar  organic chemicals of
interest in the sediments, concentrations of total organic carbon
in  the  sediments,  and  the  species composition of the benthic
infauna.

        In  the  first  step  of  the  calculation,  a cumulative
frequency  distribution  of  all  stations  at which a particular

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                               5.

species  of  infaunal  invertebrate is present is plotted against
the  organic  carbon-normalized  concentration in sediment of the
contaminant  of interest. The concentration of the contaminant at
the locus representing the 90th percentile of the total number of
stations  at  which  the  species  was  present  is  estimated by
interpolation    and   termed   the   species   screening   level
concentration  (SSLC).  Next/ SSLCs for a large number of species
are  plotted as a frequency distribution. The concentration above
which 95 percent of the SSLCs are found is termed the SLC.

        This approach to developing sediment quality criteria has
several  intuitively  appealing attributes. It makes use of field
data   on   the   coexistence  of  specific  levels  of  sediment
contamination  and a resident infauna, making extrapolations from
laboratory  to  field conditions unnecessary. It utilizes data on
only  the  presence  of  species  in  sediments  containing given
concentrations of contaminants. Thus, no a priori assumptions are
made  about  a  causal  relationship  between  levels of sediment
contamination  and  the  distribution  of  infaunal  populations.
Because  no  causal  relationship is assumed, it is not necessary
take  into  account  the  wide  variety  of natural environmental
factors,  such  as  water  depth, sediment texture, and salinity,
that  affect the composition and distribution of benthic infaunal
communities. However, because the method uses actual observations
from  the  field of the co-occurence in the sediments of multiple
species  of  benthic  infauna and concentrations of contaminants,
valid  a  posteriori    inferences can be made about the range of
contaminant  concentrations  in  the  sediment  that  the benthic
infauna can tolerate.

        Nearly  always,  contaminated sediments contain more than
one   contaminant  at  an  elevated  concentration.  The  infauna
resident   in   the   contaminated  sediments,  as  well  as  the
populations  that  have  been  eliminated  from  the contaminated
sediments,  are  responding  to the multiple contaminants present
and  not  just  to the contaminants of interest. The SLC approach
can  not  take  into  account  multiple contimant interactions in
sediments.   As   a  result,  the  SLC  value  for  a  particular
contaminant  will  tend  to  be conservative (eg., lower than the
benthic infauna could tolerate if the contaminant of interest was
the  only  contaminant  present in the sediment). Because the mix
and relative proportions of different contaminants present in the
sediments will vary substantially from location to location, this
conservative  bias in the SLC will tend to decrease as the number
of observations upon which SSLCs are based is increased.

        SLCs   are   calculated  from  organic  carbon-normalized
contaminant  concentrations  rather  than  concentrations in bulk
sediment.  This  normalization is based on the premise, supported
by  much  theory  and  experimental data, that bioavailability of
nonpolar  organic pollutants from sediments is dependent upon the
organic  carbon content of the sediment, the lipid content of the
organism,  and  the  relative  affinities  of  the  chemical  for
sediment  organic  carbon  versus  animal  lipid  (Karickhoff and

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                               6.


Morris,   1986;   Kadeg   et   al.,  1986).  A  nonpolar  organic
contaminant  will be distributed among three phases, the sediment
organic  fraction,  the tissue organic fraction, and the sediment
pore  water,  in  proportion  to  the respective sediment organic
carbon-water and tissue lipid-water partition coefficients of the
contaminant.  Thus,  the  bioavailability  and, by inference, the
toxicity  of  a  nonpolar  organic  pollutant in sediment will be
proportional  to  the  ratio  of the partition coefficient of the
pollutant  in  the  tissue  organic fraction of the animal to the
partition  coefficient  of  the pollutant in the sediment organic
fraction, and the sediment organic carbon concentration.

        1.. 3 GENERAL DATA REQUIREMENTS

        Large databases containing information on the biology and
chemistry  of  surficial  sediments from freshwater and saltwater
ecosystems  are  required  for the calculation of screening level
concentrations  (SLCs).  The  calculation  of  an SLC for a given
nonpolar  organic  contaminant  requires  data  bases  containing
matched   (synoptic   if   possible)   observations   of  species
composition  of  benthic  infauna,  concentration  of the organic
contaminant  of  interest  in  the sediment, and concentration of
total  organic  carbon  in the sediment. Sediment grain size data
also are.useful, but not essential. At a minimum, 20 observations
of  the  presence of a particular species in sediments containing
different  concentrations  of  the  contaminant  of  interest are
required   for   calculation   of   a   species  screening  level
concentration  (SSLC).  A  minimum  of  ten SSLCs are required to
calculate  an SLC. These numbers were chosen somewhat arbitrarily
for the initial evaluation of the SLC approach.

        The  benthic  infauna  should be identified to species. A
limited  number  of  identifications  to only the genus level are
acceptable  if  a  majority  of  the  infauna in the database are
identified  to  species.  Data  sets containing only higher level
taxonomic  identifications  (e.g.,  family, order, class) are not
acceptable.   Due   to   time  and  budget  constraints,  only  a
superficial  attempt  was made during the course of this study to
assure  the  accuracy  and consistency of the taxonomy within and
among  data sets. Several taxonomic discrepancies were discovered
during this review and recalculation of SLCs based on the revised
species lists did not modify the SLCs significantly.

        Data  also  are  required  on  the  concentration  of the
specific  nonpolar  organic  contaminant  of interest in sediment
from  the  same  location  as  the  benthic  data, and preferably
collected  at  the  same  time, as the biota sample. The chemical
contaminant  must  be  identified  specifically.  Data  for broad
generic  pollutant  classes  (e.g., total petroleum hydrocarbons,
oil  and  grease,  total  organohalogens,  etc.)  are  not  used.
However,  narrower  designations  of  chemical class (e.g., total
PCBs,  total  polycyclic  aromatic  hydrocarbons,  DDT  and major
degradation products, etc.) are acceptable..

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                               7.
        Data  also are required on the total organic carbon (TOC)
concentration  of the same sediments used for analysis of benthic
infauna  and  organic  contaminant  concentrations. If TOC values
are  not available, measurements that can be converted readily to
TOC  (e.g., total volatile solids, total organic matter,  or total
sediment carbon for noncarbonate sediments) are acceptable.

        Due to the preliminary nature of this approach, databases
were  sought which fulfilled the aforementioned minimum criteria.
These  databases  were  not  subjected  to  any extensive quality
assurance review, nor were the QA/QC backgrounds of the databases
evaluated.  Lacking  this  more  extensive review, SLCs developed
using  these data sources will be illustrative of the validity of
the  approach,  but are not proposed at this stage of development
for   regulatory  purposes.  Before  SLCs  could  be  used  in  a
regulatory,  context,  the  methodology used to collect and assess
geological,   chemical,  and  biological  data  would  require  a
comparability    assessment.    Inconsistencies    in   taxonomic
identifications,  for instance, may affect SLC values, yet only a
superficial  review  of  taxonomic criteria has been conducted in
this  study.  A more thorough review of the biological, chemical,
and  geological  data  may  also  result  in  refinements  to and
improvements in the sensitivity of the SLC methodology.

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                               8.


                    2.0 MATERIALS AND METHODS
2.1 ACQUISITION OF FRESHWATER DATA

        The  freshwater data sets used in this study were located
by systematically contacting various government agencies, private
consulting  firms,  and  universities,  and by searching the open
literature.  Government  agencies  contacted  included  the  U.S.
Environmental Protection Agency (ten regions), U.S. Army Corps of
Engineers    (Division   and   District   offices),   Ohio   EPA,
International   Joint   Commission,   and   Environment   Canada.
Approximately   120   individuals   were   interviewed  in  these
organizations  during  the  initial  data search. Results of this
preliminary  survey  indicated that the greatest amount of usable
and accessible information appeared to be available for the Great
Lakes  region.  A  concentrated  search  in  this geographic area
revealed  the  following sources of acceptable data: the Region V
Office  of  the U.S. EPA, Office of Federal Information, Chicago,
IL;  the  Illinois  Environmental  Protection Agency; the Buffalo
District of the U.S. Army Corps of Engineers; and the Ministry of
Environment, London, Ontario, Canada.

        These  sources  yielded approximately 125 data sets which
were   evaluated   based   on  the  data  requirements  described
previously  to  determine  if  they  should  be  included  in the
analysis.  Based  on  the data requirements, sufficient data were
available in the freshwater databases for calculating  freshwater
screening  level  concentrations  for  DDT, total polychlorinated
biphenyls (PCBs), dieldrin, chlordane, and heptachlor epoxide.

        The  database  compiled  for  calculating freshwater SLCs
consisted  of  80  individual data sets representing 323 separate
sampling  stations.  Sampling stations were located in six states
(Table  1),  with  a majority of stations located in Illinois (97
sites  or  30  percent of the total) and Michigan (95 sites or 30
percent  of  the total). The remaining 40 percent of the stations
were from Indiana (21 stations), New York (28 stations), Ohio (50
stations),  and Wisconsin (32 stations). Data from both lotic and
lentic ecosystems were included in the analysis.

        Sufficient  data  were  available  in the freshwater data
sets  to  calculate  a  screening  level  concentration  for five
conpounds:   DDT,   PCBs,  dieldrin,  chlordane,  and  heptachlor
epoxide.

2.2 ACQUISITION OF SALTWATER DATA

        Potentially  useful  saltwater  data sets were identified
by   searching  a  computerized  inventory  of  marine  pollution
monitoring  programs.  This  inventory  was  recently prepared by
Battelle  for  NOAA-Ocean  Assessment  Division. The focus of the
data  search  wa.s  on  three U.S. coastal regions for which large
databases  that  contained  relevant  information were thought to

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                               9.


exist:  the  New  York  Bight; the southern California Bight; and
Puget  Sound.  Several  potentially  applicable  data  sets  were
identified  in  this  inventory.  The  group  that  sponsored  or
performed  the  data  collection  was  contacted to determine the
suitability   and  availability  of  the  data  sets.  Government
agencies  contacted  included  the  U.S. Environmental Protection
Agency   (Regions  1,2,9,  and  10),  the  National  Oceanic  and
Atmospheric Administration, the U.S. Army Corps of Engineers, and
the   Minerals   Management  Service.  Several  sewage  treatment
districts  of  major  metropolitan  areas  that discharge treated
wastewater  or  sludge  to the ocean were contacted. In addition,
several    consulting    firms,   universities,   or   individual
investigators  that  were known to have performed or participated
in   marine  benthic  monitoring  and  assessment  programs  were
contacted.  Approximately  100  individuals  or institutions were
contacted by telephone or letter during this data search.

        From  these  saltwater  databases,  a  total  of 19 field
surveys or monitoring cruises were identified that contained data
suitable  for  derivation  of  SLCs  (Table  2). The 19 data sets
contained  data  from 293 sampling stations. Nearly equal numbers
of  stations  were  located  in  each of the three regions. These
sampling  stations . contained  114  species  of  benthic  infauna
identified  to  the  species  level.  About  50  percent of these
species  occurred  with  sufficient  frequency  to  be  used  for
calculating an SSLC.

        Sufficient data were available in the saltwater data sets
to  calculate a screening level concentration for nine compounds:
DDT,  PCBs, and the polycyclic aromatic hydrocarbons naphthalene,
phenanthrene,  fluoranthene, benz(a)anthracene, pyrene, chrysene,
and benzo(a)pyrene.

2.3 CALCULATION OF SCREENING LEVEL CONCENTRATIONS (SLCs)

        Separate  SLCs  were derived for freshwater and saltwater
sediments and were based exclusively on the respective freshwater
and   saltwater   databases.  However,  the  procedures  used  to
calculate freshwater and saltwater SLCs were the same.

        First,  we  identified  all  the stations in the database
at  which  the  contaminant  of  interest  was  analyzed  in  the
sediments.  For each of these stations, we prepared a list of all
species  of benthic infauna that were present at that station. We
then  normalized  contaminant concentrations to the total organic
carbon  concentration  of  the  sediment  at  each station by the
simple formula:

        TOC-normalized contaminant concentration  =»  X/TOC
        (ug contaminant/g organic carbon)

where X is the contaminant concentration in the bulk sediment (ug
contaminant/kg sediment dry wt.),  and TOC is the concentration of
total  organic  carbon  in  the  sediment  (g  organic  carbon/kg

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                               10.
sediment dry wt.).
        For each species that was present at 20 or more stations,
we  plotted  the  organic  carbon normalized concentration of the
chemical  in  the sediment for all samples (or stations) in which
the  species  was  present, versus the station number, proceeding
from the least to the most contaminated station (Figure la). From
this  plot,  we  estimated the sediment contaminant concentration
below  which  90  percent  of  the samples containing the species
occurred. This concentration was defined as the species screening
level concentration (SSLC) of the contaminant. This procedure was
repeated  for  each benthic species present in the data set at 20
or  more  stations,  thereby  generating  a number of SSLCs for a
given contaminant.

        We  then  constructed a cumulative frequency distribution
(based  on  rank,  which in turn was based on the SSLC values) of
all  SSLCs  for  the  contaminant  (Figure Ib) and calculated the
fifth  percentile  (the  SSLC value above which 95 percent of all
SSLCs  fall) of that distribution by linear interpolation between
the two nearest quantiles. This interpolated value was designated
as the screening level concentration (SLC) of the contaminant.

        Because  the SSLCs for each contaminant were not normally
distributed  (Kolmogorov  D-Statistic, > =»0.05) (Sokol and Rohlf,
1969),  standard  statistical (distribution-free) techniques were
used  to  calculate  a  confidence  interval for the SLCs . Order
statistics  were  employed  to  set a confidence interval for the
fifth  percentile  of  the SSLC cumulative frequency distribution
for  each  contaminant.  Confidence  intervals were set using the
binomial  distribution  as  described  by Mood et al. (1974). The
interval  that  provided a confidence coefficient greater than 95
percent was chosen.

        Estimates  of  the SLC were also made using the jackknife
procedure  (Quenouille,  1956)  in  an  effort  to set confidence
intervals. However, this approach proved unsuitable. For example,
the pseudo-variables generated for DDT by this procedure were not
normally  distributed  (Shapiro-Wilk,  w-0.625; n-21, ns, Shapiro
and  Wilk, 1965). Furthermore, the pseudo-variables gave negative
estimates for the SLC.

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                               11.
                           3.0 RESULTS

3.1 FRESHWATER DATA

        The  freshwater  database  contained  presence data for a
total  of 103 different infaunal invertebrate taxa. However, only
a  total  of  23  species, representing seven families, orders or
classes  were present at a sufficient number of sampling stations
to  be  included  in the analysis. The freshwater benthic species
used in the analysis included eight oligochaetes (annelid worms),
five     ephemeropterans    (mayflies),    three    trichopterans
(caddisflies),  one  chironomid  (midge), one isopod (aquatic sow
bug),  two  amphipods (scuds), and one gastropod (snail). For all
five  contaminants for which freshwater SLCs were calculated, the
taxa  found  most  frequently  in the sample were Oligochaeta and
Ephecteroptera.

        The  distribution  of total organic carbon concentrations
in  freshwater  sediments ranged from 5.0 to 366 g/kg dry wt. The
ranges   of   concentrations   of   the   five  nonpolar  organic
contaminants   in  sediments,  for  which  freshwater  SLCs  were
calculated,  are  summarized in Table 3. In each case, the lowest
concentration  was  below  the  detection limit of the analytical
technique  used  and  is given as zero. The distribution of total
organic  carbon,  bulk  contaminant  concentrations,  and organic
carbon  normalized  contaminant  concentrations were not normally
distributed  (Kolmogorov D-Statistic, with  =0.05). In all cases,
the   range   of  organic  carbon  normalized  concentrations  of
contaminants spanned at least one order of magnitude.

3.2 SCREENING LEVEL CONCENTRATIONS FOR CONTAMINANTS IN FRESHWATER
SEDIMENTS

        The  values  of  the SSLCs for DDT, total PCBs, dieldrin,
chlordane,  and  heptachlor  epoxide  in freshwater sediments are
presented  in  Tables 4 through 8, and their cumulative frequency
distributions  are plotted in Figures 2 through 6. The confidence
envelope   around  the  cumulative  distribution  of  the  SSLCs,
generated  using  the Kolmogorov D-Statistic, was approximately +
30  -  40  percent.  The  cumulative frequency distributions from
which the SSLCs for each contaminant were extracted are contained
in the Appendix.

        SSLCs  for  DDT were calculated for 21 freshwater species
and  ranged from 0.189 to 20.0 ug/g organic carbon (Table 4). The
number of observations used to calculate each SSLC ranged from 20
to  56.  The cumulative frequency distribution curve of the SSLCs
showed  an  irregular  concave  shape  and  was  dominated by low
concentrations  of  DDT. Nearly 50 percent of the SSLCs were less
than  0.35  ug/g  organic  carbon  (Figure 2). The SLC for DDT in
freshwater  sediments  is  0.190  ug/g organic carbon (confidence
interval,  0.0 - 0.283,7-= 0.02). This SLC value is 0.005 percent
of the highest normalized concentration of DDT in the database.

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                               12.

        SSLCs  for  total  PCBs  were  calculated for the same 21
species  used  to  calculate  freshwater SSLCs for DDT. The SSLCs
ranged  from  0.286  to  103.4 ug/g organic carbon (Table 5). The
number of observations used to calculate each SSLC ranged from 20
to  56.  The shape of the cumulative frequency distribution curve
for  the  SSLCs was approximately linear, with PCB concentrations
evenly  distributed over the entire range (Figure 3). The SLC for
total  PCBs  in freshwater sediments is 0.290 ug/g organic carbon
(confidence  interval,  0.0  -  0.65, c^a 0.02). This SLC value is
0.05  percent  of  the highest normalized concentration of PCB in
the  database.  Although their specific rank order was different,
the  species  below the 50th percentile for both DDT and PCB were
identical(Tables 4 and 5).

        SSLCs  for  dieldrin  were  calculated  for 16 freshwater
species  and ranged from 0.026 to 1.00 ug/g organic carbon (Table
6). The number of observations used to calculate each SSLC ranged
from  23  to  56.  The cumulative distribution curve of the SSLCs
had  a  markedly  sigmoid  shape  with most of the concentrations
falling  in the range of 0.12 to 0.26 ug/g organic carbon (Figure
4).  The  SLC  for dieldrin in freshwater sediments is 0.021 ug/g
organic  carbon (confidence interval, 0.0 - 0.084, ^= 0.04). This
SLC value is 0.09 percent of the highest normalized concentration
of  dieldrin  in  the database. Four of the eight species present
below  the  50th percentile in the calculations for dieldrin were
the same as for DDT (Tables 4 and 6).

        SSLCs  for  chlordane  were  calculated for 16 species of
freshwater  animals  and  ranged  from 0.124 to 8.51 ug/g organic
carbon  (Table  7).  The number of observations used to calculate
each  SSLC  ranged  from  20 to 56. The distribution curve of the
SSLC  values  was  essentially  flat  from the origin to the 63rd
percentile, above which  the values increased sharply (Figure 5).
The  SLC  for  chlordane  in  freshwater  sediments is 0.098 ug/g
organic  carbon (confidence interval, 0.0 - 0.136,o(« 0.04). This
SLC    value  is  about  0.01  percent  of the highest normalized
concentration of chlordane in the database. With the exception of
the  oligochaete, Peloscolex ferox, all species present below the
50th percentile were the same as for DDT (Tables 4 and 7);

        SSLCs  for  heptachlor  epoxide  were  calculated  for 12
freshwater  species  and  ranged  from 0.013 to 4.88 ug/g organic
carbon  (Table  8).  The number of observations used to calculate
each SSLC ranged from 23 to 56. The cumulative distribution curve
of the SSLCs was dominated by values less than 0.053 ug/g organic
carbon  (Figure  6). The SLC for heptachlor epoxide in freshwater
sediments  is 0.008 ug/g organic carbon (confidence interval, 0.0
-  0.029, -' - 0.02) This SLC value is 0.03 percent of the highest
concentration  of  heptachlor  epoxide  in the database. With the
exception  of  the  oligochaete, Limnodrilus hoffmeisteri, all of
the  species'  below  the 50th percentile were the same as for DDT
(Tables 4 and 8).

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                               13.
3.3 SALTWATER DATA

        The  saltwater  database  contained data for the presence
of  a  total  of  117 species of marine benthic invertebrates. Of
these,  only  60  species  were present at a sufficient number of
sampling  stations  to  be  included  in  the  analysis. The most
abundant   saltwater   taxa  used  to  calculate  SLCs  were  the
Polychaeta, followed by the Crustacea and Mollusca.

        In  the  saltwater  database,  the concentration of total
organic carbon in the sediments ranged from 0.31 to 303 g/kg. The
highest  value was somewhat anomalous, in that the second highest
value  was  160 g/kg. The range in the concentrations of the nine
nonpolar  organic  contaminants in sediments, for which saltwater
SLCs were calculated, are summarized in Table 9. In all cases the
lowest  concentration  used  was above the detection limit of the
analytical technique. In addition, the range of concentrations of
the  organic carbon normalized contaminants spanned more than two
orders of magnitude, for all nine contaminants.

3.4  SCREENING LEVEL CONCENTRATIONS FOR CONTAMINANTS IN SALTWATER
SEDIMENTS

        The values of the SSLCs for DDT, total PCBs, naphthalene,
phenanthrene,  fluoranthene, benz(a)anthracene, chrysene, pyrene,
and benzo(a)pyrene in saltwater sediments are presented in Tables
10  through 18, and the cumulative frequency distributions of the
SSLCs  are  plotted  in  Figures  7  through  15.  The cumulative
frequency distributions from which the SSLCs for each contaminant
were calculated are contained in the Appendix.

        SSLCs  for  DDT  were calculated for 17 saltwater species
from  the  Southern  California  Bight  and ranged from 50.488 to
2069.586   ug/g   organic   carbon  (Table  10).  The  number  of
observations  used  to calculate each SSLC ranged from 20 to 101.
As  reflected in the cumulative frequency distribution, there was
a  bimodal distribution of SSLC  values for DDT, with nine of the
values  falling  below  210 ug/g organic carbon and the remaining
ten values falling above 1100 ug/g organic carbon (Figure 7). The
SLC  for  DDT  in saltwater sediments is 42.8 ug/g organic carbon
(confidence  interval,  0.0  - 113.7,^ = 0.03). This SLC value is
0.6 percent of the highest normalized concentration of DDT in the
saltwater database.

        SSLCs  for  total  PCBs  were calculated for 51 saltwater
species from the New York Bight and the Southern California Bight
and  ranged  from 3.394 to 71.315 ug/g organic carbon (Table 11).
The  number  of  observations  used to calculate each SSLC ranged
from  20  to  109.  The shape of the frequency distribution curve
for  the  SSLCs was nearly linear, with PCB concentrations evenly
distributed  over the entire range of observed values (Figure 8).
The  SLC  for  total  PCBs  in  saltwater  sediments is 4.26 ug/g
organic  carbon  (confidence interval, 0.0 - 4.63,c*» 0.03). This

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                               14.
SLC  value is 1.6 percent of the highest normalized concentration
of PCBs in the saltwater database. Four of the five most tolerant
species   (highest  SSLC  values)  were  the same for both DDT and
PCBs. None of the species used to calculate the saltwater SLC for
DDT occurred below the 50 percentile concentration of SSLC values
for                                                         PCBs.
        SSLCs  for  naphthalene were calculated for 24 species of
saltwater  animals  from  the  New York Bight and Puget Sound and
ranged  from 36.036 to 57.059 ug/g organic carbon (Table 12). The
number  of  observations used to calculate each SSLC  ranged from
20  to  55. The shape of the frequency distribution curve for the
SSLCs  was  relatively  linear,  with  naphthalene concentrations
evenly  distributed  over  the  entire  range  of observed values
(Figure  9).  The  SLC  for naphthalene in saltwater sediments is
36.7  ug/g  organic  carbon  (confidence  interval,  0.0  - 41.4,
•'=0.03). This SLC value is 10.7 percent of the highest normalized
concentration of naphthalene in the saltwater database.

        SSLCs  for phenanthrene were calculated for 25 species of
saltwater  animals  from  the  New York Bight and Puget Sound and
ranged  from  22.368  to 75.0 ug/g organic carbon (Table 13). The
number of observations used to calculate each SSLC ranged from 20
to  56.  The  shape  of  the  frequency  distribution  curve  was
relatively linear, with phenanthrene concentrations nearly evenly
distributed over the entire range of observed values (Figure 10).
The  SLC  for  phenanthrene  in  saltwater sediments is 25.9 ug/g
organic  carbon  (confidence interval, 0.0 - 38.4,^= 0.03). This
SLC  value is 5.9 percent of the highest normalized concentration
of  phenanthrene  in the saltwater database. Five of the six most
sensitive  species  (lowest  SSLC  values) were the same for both
naphthalene and phenanthrene(Tables 12 and 13).

        SSLCs  for fluoranthene were calculated for 26 species of
saltwater  invertebrates  from Puget Sound and ranged from 36.184
to  164.384  ug/g  organic  carbon  (Table  14).  The  number  of
observations  used  to  calculate each SSLC ranged from 20 to 59.
The  cumulative  distribution  of  SSLCs was skewed toward higher
values,  with 16 of the 25 values above 100 ug/g (Figure 11). The
SLC  for fluoranthene in saltwater sediments is 43.2 ug/g organic
carbon (confidence interval, 0.0 - 64.3,c^= 0.04). This SLC value
is  9.8  percent  of  the  highest  normalized  concentration  of
fluoranthene  in  the  saltwater database. The two most sensitive
species,   the   polychaetes  Glycinde  armigera  and  Prionospio
cirrifera  were  the  same  for both naphthalene and fluoranthene
(Tables 12 and 14).

        SSLCs   for  benz(a)anthracene  were  calculated  for  23
species of saltwater invertebrates from Puget Sound and covered a
relatively  narrow  range  from  24.348 to 51.802 (Table-'lS). The'
number of observations used to calculate each SSLC ranged from 20
to  57. The cumulative distribution of SSLCs was quite flat, with
all  but  three values falling in the narrow range between 41 and

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                               15.
52  ug/g  (Figure 12). The SLC for benz(a)anthracene in saltwater
sediments is 26.1 ug/g organic carbon (confidence interval, 0.0 -
41.0,  &• =0.03).  This  SLC  value  is 7.1 percent of the highest
normalized  concentration  of  benz(a)anthracene in the saltwater
database.

        SSLCs for pyrene were calculated for 27 saltwater species
from  Puget  Sound and ranged from 31.579 to 105.882 ug/g organic
carbon  (Table  16). The number of observations used to calculate
each  SSLC  ranged  from 20 to 58. The cumulative distribution of
SSLCs  was  skewed  slightly  toward the high side, with half the
values occupying the narrow range between 94 and 106 ug/g (Figure
13).  The  SLC  for  pyrene  in  saltwater sediments is 43.4 ug/g
organic  carbon  (confidence interval, 0.0 - 74.4,
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                               16.
                         4.0 DISCUSSION

        All  SLCs  determined  in  this project are summarized in
Table   19.  Some  interesting  patterns  emerge.  All  SLCs  for
freshwater  sediments  are  lower  than  all  SLCs  for saltwater
sediments  by  at  least  one order of magnitude. This pattern is
exemplified  best  by  the  two  contaminants  for  which we have
comparative  freshwater and saltwater SLCs: PCBs and DDT. The SLC
for  PCBs  in  saltwater  sediments  is  15 times higher than the
corresponding value for freshwater sediments. There is a 225-fold
difference  in  the  SLCs  for  DDT  in  freshwater and saltwater
sediments.   There   are   several  possible  reasons  for  these
differences. The most important are the following: 1) differences
in  the  range  and  distribution  of  values  of  organic carbon
normalized   contaminant   concentrations   for   freshwater  and
saltwater  sediment  in  the two databases; 2) differences in the
relative  sensitivity  of    the freshwater and saltwater benthic
infauna  used  in  this  analysis;  and  3)  differences  in  the
solubility  of  the  nonpolar organic contaminants in fresh water
and  salt  water.  In  addition, the freshwater database included
zero  values  for  organic contaminants in sediments, whereas the
saltwater database .did not.

         The range and distribution of contaminant concentrations
in  the  database  used  to  calculate  an SLC will have a marked
effect  on  the  value  of  the  SSLCs,  and  therefore  the SLCs
generated. The SLC calculation process, by its very nature, makes
no  a.  priori  assumptions  about a causal relationship between a
given  concentration  of the contaminant of interest in sediments
and  the  presence  or absence of a particular species of benthic
infauna  in  those sediments. Therefore, it is possible to have a
data  set  in  which  all  concentrations  of  the contaminant of
interest are well below the concentration in sediments that would
adversely  affect  the  distribution  of  benthic  infauna.  SLCs
calculated with such a data set would be conservative and the SLC
would    have  little regulatory relevance. On the other hand, if
most  observations  are from a heavily contaminated area, most of
the pollutant-sensitive species would be absent and the SLC would
be based primarily on pollutant-tolerant species. In such a case,
the   SLC  would  be  too  high.  As  the  range  of  contaminant
concentrations  upon  which  the  SLC  is  based  increases,  the
likelihood of these types of biases in the SLC decreases.

        In  the  freshwater  and  saltwater  data  sets  used  to
calculate   SLCs,   the   observed   organic   carbon  normalized
concentrations  of the contaminants in sediments were distributed
quite  differently. This could account for much of the difference
in the SLC values between freshwater and saltwater sediments. For
example,  in the freshwater data set, approximately 10 percent of
the-  observations  of the organic carbon normalized concentration
of  DDT  in sediments were below 0.5 ug/g, and only 10 percent of
observations  were  above  30 ug/g. Hpwevef, in the corresponding
saltwater data set, approximately 10 percent of observations were

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                               17.
below 1.0 ug/g, and approximately 75 percent of observations were
above  30 ug/g. As a result, 47.6 percent of the SSLCs for DDT in
freshwater  sediments  were below 0.35 ug/g organic carbon (Table
4),  whereas  47.4  percent  of  the  SSLCs  for DDT in saltwater
sediments were at or below 208 ug/g organic carbon (Table 10).
The  differences  between  freshwater and saltwater data sets for
FCBs are similar to but not as large as those described above for
DDT.

         To   further  illustrate  the  differences  between  the
freshwater  and  saltwater databases, the SLCs can be compared to
the  corresponding  maximum concentrations of the contaminants in
the database. For freshwater sediments, each SLC was 0.01 to 0.09
percent of the highest organic carbon normalized concentration of
the  corresponding contaminant in the freshwater database. In the
case  of both DDT and PCBs, the SLC value was 0.05 percent of the
highest  concentration  in the freshwater database. For saltwater
sediments,  each  SLC  was  0.6  to  11.5  percent of the highest
organic  carbon  normalized  concentration  of  the corresponding
contaminant  in  the  saltwater database. The SLC  values for DDT
and PCBs were 0.6 and 1.6 percent, respectively, of their highest
concentrations in the saltwater database.

         Although  "differences  in  the sensitivity of freshwater
and   saltwater   benthic  invertebrates  to  sediment-associated
nonpolar contaminants could result in some differences in the SLC
values,  it  is  unlikely  that  such  differences would be large
enough  to account for more than a fraction of the differences in
SLC  values observed here for freshwater and saltwater sediments.
Current  water  quality  criteria  for DDT and PCBs indicate that
there  are  only small differences in the apparent sensitivity of
freshwater  and  saltwater  animals  to  these  two chemicals (FR
45:231,  Nov.  28,1980,  79318-79379).  For DDT, the criterion to
protect  freshwater  aquatic  life  is  0.001  ug/1  as a 24-hour
average,  not  to  exceed 1.1 ug/1 at any time. The corresponding
criterion  to  protect  saltwater aquatic life is 0.001 ug/1 as a
24-hour  average,  not to exceed 0.13 ug/1 at any time. For PCBs,
the criterion to protect freshwater aquatic life is 0.014 ug/1 as
a   24-hour  average.  The  corresponding  criterion  to  protect
saltwater  aquatic  life  is 0.030 ug/1. Thus, based on the water
quality  criteria  and  assuming similarity in the sensitivity of
the  organisms  used  to calculate water quality criteria and the
benthic  infaunal  invertebrates  used  to  calculate SLCs, there
should  be  only  a  moderate  difference  in  the sensitivity of
freshwater  and  saltwater  animals  to  DDT  and PCBs. Recently,
Palawski  et  al.(1985)  reported that striped bass, a euryhaline
species  of  fish,  was  more  sensitive  to  several pollutants,
including  PCBs,  several  polycyclic  aromatic hydrocarbons, and
pesticides,  in  hard fresh water than in low salinity sea water.
However,  the  differences in LC50 values were never greater than
about  two-fold  for  any  of  the  chemicals  tested.  The major
difference  in  sensitivity of freshwater and saltwater organisms
to  sediment-adsorbed  nonpolar  organic contaminants is probably
due   more   to  differences  in  partitioning  behavior  of  the

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                               18.
contaminants   in   freshwater  and  saltwater  systems  than  to
differences  in  the  sensitivity  of  freshwater  and  saltwater
organisms themselves.

        Salinity  of  the ambient medium does affect the physical
and  chemical  behavior  of  many  chemicals. Kadeg et al. (1986)
reviewed  the  effects  of  salinity  on the behavior of nonpolar
organic  chemicals  in  aqueous  media. The aqueous solubility of
PCBs,  DDT,  and  polycyclic aromatic hydrocarbons decreases with
increasing  salinity.  As  a result, the presence of electrolytes
(salts)  in  solution  increases the sorption of nonpolar organic
chemicals by sediments. Therefore, it is reasonable to infer that
nonpolar  organic  chemicals  adsorbed  to sediments will be less
bioavailable  in  salt  water  than  in  fresh  water.  There are
relatively  few data available that are suitable for testing this
inference  (Neff,  1984). Boehm (1982) measured the concentration
of  several nonpolar organic pollutants in sediments and resident
infaunal  polychaetes  and  bivalves  from  the  New  York Bight.
Bioaccumulation  factors  for the contaminants from the sediments
(concentration   in  animal  tissues/concentration  in  sediment)
ranged  from  0.001  to  0.7  in the polychaetes Nephthys sp. and
Pherusa  affinis  and  from  0.002 to 4.46 in the bivalve, Nucula
prqxima.  Bioaccumulation factors for several polycyclic aromatic
hydrocarbons  (PAH)"  ranged  from 0.01 to 0.24 in the polychaetes
and  0.002  to  3.20  in the bivalve. Eadie et al. (1982a,b;1983)
studied  the  concentrations  of  several  PAHs  in sediments and
benthic   oligochaetes  and  arthropods  from  the  Great  Lakes.
Bioaccumulation factors from sediments for individual PAHs in the
amphipod  Pontoporeia  hoyi  ranged from 1 to 45. Bioaccumulation
factors  from  sediments  for  different  PAHs in the oligochaete
Limnodrilus  hoffmeisteri  ranged  from  0.1 to 2.3. This limited
comparison lends support to the inference that bioavailability of
nonpolar  organic  contaminants  from sediments will be inversely
related   to   salinity   of   the   overlying   water.   Because
bioavailability  and  toxicity of a nonpolar organic chemical are
directly  related, we can infer that there will be a tendency for
freshwater   organisms   to  be  more  sensitive  than  saltwater
organisms  to  sediment-adsorbed contaminants. This conclusion is
consistent  with our analysis and may account for a small part of
the  difference  in  SLCs for freshwater and saltwater sediments.
This   conjecture   is  very  preliminary  and  requires  further
experimental verification.

        Zero  values  for contaminant concentrations in sediments
were used to calculate freshwater but not saltwater SLCs. The use
of  zero  values  would  tend  to  decrease the value of the SLCs
calculated.  In order to determine the magnitude of the effect of
this  difference  in calculating freshwater and saltwater SLCs, a
few of the freshwater SLCs were recalculated without inclusion of
the   zero  values.  This  procedure  approximately  doubled  the
resultant  SLCs.  Therefore,  the contribution of this procedural
difference  to  the  differences in freshwater and saltwater SLCs
for  DDT  and  PCBs  was  small.  Zero  values  were  used in the
calculation  of  the  freshwater  SLCs so that there would be the

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                               19.
minimum number of 20 observations required to calculate an SSLC.

        Of  the four possible reasons for the differences between
the  freshwater  and  saltwater  SLC  values,  the most important
probably   is   the  differences  in  ranges  of  organic  carbon
normalized  contaminant  concentrations  in  sediments covered by
each  database. The freshwater concentrations tended to be low as
evidenced  by  the  many  zero  contaminant values. The saltwater
database  tended toward the more highly polluted sediments. Based
on   these   observations,  the  freshwater  SLC  values  may  be
conservative and the saltwater SLC values may be too high.

            Recently,  Tetra  Tech  (1986)  evaluated the SLC and
several other approaches to developing sediment quality criteria.
They  used  field  data  from  Puget Sound. The only chemical for
which  both  Tetra  Tech  and  Battelle  calculated  an  SLC  was
naphthalene.  Our  SLC  for naphthalene, based on data from Puget
Sound  and  the New York Bight, is 36.7 ug/g organic carbon. This
value  compares  very favorably with the value of 37 ug/g organic
carbon  reported  by  Tetra  Tech, based on data from Puget Sound
alone.

        Tetra  Tech  also  calculated  an SLC of 230 ug/g organic
carbon  for  total  high  molecular  weight  polycyclic  aromatic
hydrocarbons  in marine sediments. Nine PAHs were included in the
total,  including  five  PAHs  for which we calculated individual
SLCs  (fluoranthene through benzo(a)pyrene). Assuming addativity,
the Tetra Tech data would indicate ah average SLC for each of the
nine  PAH  of 26 ug/g organic carbon. The SLCs that we calculated
for  the  five  PAH  range  from 26.1 to 41.9 ug/g organic carbon
(mean,  37.6  ug/g  organic  carbon).  Again, there is reasonable
agreement  between  the two independent estimates. Although Tetra
Tech  did not calculate a saltwater SLC for DDT or PCBs, they did
apply  another  approach,  which  they named the apparent effects
threshold  (AET)  approach,  to deriving sediment quality indices
for these contaminants. The AET values for PCBs and the different
PAHs  were  similar to one another, whereas the AET value for DDT
was  much  lower than the AETs for PCBs and PAHs. In our analysis
of  saltwater sediments, the ranking of PCBs and DDT is reversed.
DDT and the different PAHs have similar SLCs and the SLC for PCBs
is  much  lower.  In  addition, the SLCs generated in the present
investigation  are  all  less  than  the corresponding AET values
calculated  by  Tetra Tech, except for DDT. The SLC value for DDT
is  much larger than the corresponding AET value. This difference
in  relative  ranking  can be attributed to the different sources
and  characteristics  of the data sets used to calculate the SLCs
for  DDT  and  PCBs. The data set used to calculate the saltwater
SLC for DDT was from the Southern California Bight, an area known
to  be  heavily  contaminated  with  DDT  residues. Thus, a large
fraction  of  the  observations  were  at stations with sediments
containing high concentrations of DDT. The saltwater SLC for PCBs
was  calculated  with  data  from both the New York Bight and the
Southern   California  Bight.  Both  areas  have  sediments  with
elevated concentrations of PCBs, but not as elevated as locations

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                               20.
in  Puget  Sound from which Tetra Tech obtained the data set used
to calculate the AET for PCBs.

        The  SLC  approach  has  demonstrated sufficient merit to
warrant  further evaluation and elaboration. Given a large enough
database  and  minor modifications to the methods for calculating
SSLCs and SLCs, the approach will provide a conservative estimate
of  the  highest  organic  carbon  normalized  concentrations  of
individual  contaminants  in  sediments  that can be tolerated by
approximately  95  percent  of benthic infauna. As the number and
range  of observations contributing to the calculation of the SLC
for  a  contaminant  increases,  one  would expect the SLC values
calculated  to  asymptotically  approach  some  ideal  "true" SLC
values  for  freshwater  and saltwater sediments. It is essential
that    the    database   contain   organic   carbon   normalized
concentrations of the sediment contaminants of interest that span
a  wide  range  (preferably  two orders of magnitude or more) and
include  values  from locations known to be heavily contaminated.
Low  and  intermediate  sediment  contaminant  concentrations are
needed   to  ensure  that  pollutant-sensitive  species  are  not
excluded from the analysis. High values are needed to ensure that
benthic  communities are in fact being adversely affected at some
stations   by  the . contaminant  of  interest.  Data  from  areas
containing  clearly  defined  gradients  of concentrations of the
contaminant  of  interest in the sediments would be ideal for use
in   calculating  an  SLC.  In  the  present  investigation,  the
freshwater    database   was   dominated   by   low   contaminant
concentrations  and  the saltwater database was dominated by high
contaminant  concentrations.  The result was that freshwater SLCs
tended  to  be  low  and saltwater SLCs.tended to be high. As the
number  of  observations in the database increases, the magnitude
of this bias toward high or low values will decrease.

        In  order  to  calculate  an  accurate SLC, the number of
species  used  in the analysis should be as large as possible and
should  span a wide phyletic range, whenever possible, taxa known
to be sensitive to chemical pollutants, such as benthic amphipods
and  certain  insect  larvae, should be included in the analysis.
Thompson  (1982)  identified  three  zones with different benthic
infaunal community structure along a pollution gradient away from
point  source  discharges  of  treated  sewage  to  the  southern
California  Bight. Species restricted to the unpolluted reference
areas  can  be  considered the most pollutant-sensitive, whereas,
those  that  are  most abundant in severely impacted areas can be
considered  the  most  pollutant-tolerant.  Some animals are most
abundant  in the transitional zone between these extremes. Of the
five   dominant  members  of  the  control  (pollutant-sensitive)
community,  two, the brittle star, Amphiodia (Amphispina) urtica,
and  the  polychaete,  Pectinaria californiensis, are included in
the  calculation  of  the SLCs for DDT (Table 10) and PCBs (Table
11). These two species ranked number two and eight, respectively,
in  SSLCs  for DDT, and number thirty and forty, respectively, in
SSLCs  for  PCBs.  Among the most.pollutant-tolerant species, the
polychaete,  Capitella  capitata,  ranked number fifteen in SSLCs

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                               21.
for  DDT   and   number  forty-three in SSLCs for PCBs. Thus, in the
present   exercise,   there  was  a fairly good relationship in the
case  of   DDT,  but  not  PCBs, between the apparent sensitivity of
benthic   species   to  pollution  and  their  relative  rank  in a
cumulative  frequency  distribution  of SSLC values. However, the
important  point  here  is that apparently sensitive and apparently
tolerant  species  were  included in the data sets used to calculate
the SLCs  for DDT  and PCBs.

        Greater  use  could  be  made  of  taxa  that  have  been
identified  only   to  the  genus level, if this will increase the
number  of  taxa   in  the database suitable for SSLC calculation.
.Inclusion of animals identified only to the genus level should be
done  with  caution. If  data sets from different geographic areas
are being used  to calculate an SLC, a species group identified to
the  genus  level in  one region may or may not correspond to the
species group from another area identified to the same genus. For
example,  Tharyx sp.  from the southern California Bight may or may
not  correspond  to  Tharyx  sp. from Puget Sound or the New York
Bight.  In  using data  for animals identified to only the genus
level,  the  assumption  is implied that all members of that genus
have  a   similar   sensitivity  to the pollutant of interest. This
probably   is not true.  Organisms of a genus, including benthic
infauna,    tend   to  segregate  along  environmental  gradients,
including   pollution  gradients  (Grassle  and  Grassle,  1976).
Therefore,   the   genus  mean   sensitivity   may  have  little
environmental relevance  with respect to generation of SLC values.

        Another way  to increase the number of species that can be
used  in   the   analysis  is to decrease the number of observations
required   to calculate an SSLC. It may be possible to reduce this
number  to ten  without seriously compromising the validity of the
SSLCs.    The   requirement  for  at  least  20  observations  for
calculation  of  an  SSLC  was  set  somewhat  arbitrarily at the
beginning  of this project. It is likely that any disadvantage of
using fewer  observations to calculate the SSLC would be more than
compensated  for by the increase in the number of SSLCs that could
be  calculated  and  used to determine the SLC. In addition, it is
probable   that  a majority of the additional SSLCs obtained this
way  would  be  for  the more sensitive species most likely to be
eliminated  from   the  more  contaminated stations. Ideally, more
than  20   SSLCs  should  be  used to calculate each SLC. The more
SSLCs  used,  the more  technically  and statistically sound the
resulting SLC will be.

        The  requirement of the SLC approach for large databases,
and  the   desirability  of  using  data from different regions to
calculate  each  SLC,  raises another potential problem. Different
data  sources   may  reach  different  conclusions  regarding what
constitutes  a  genus.   For example, one source might designate a
polychaete  as   Pectinaria  californiensis  and  another  might
designate  the  same  animal as Cistena californiensis. These two
designations represent  a  single species and should be included
together   for   the  SSLC determination.  As our knowledge of the

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                               22.
freshwater  and saltwater benthic infauna grows, revisions of the
taxonomy  of  some  taxa  are made. These revisions may result in
changes in some genus or species names. In addition, a population
originally designated as a single species may be divided into two
or more species, or several species may be combined into a single
species.  Thus,  when  using  data  sets  from  several different
investigators  and/or several geographic regions, great care must
be  taken  to  ensure  that  the  final  species list contains no
synonymies  or  single  entries  that actually represent multiple
species.  All  data  sets  used  to  calculate  each  SLC must be
subjected  to  rigorous  quality assurance review by a taxonomist
familiar  with the benthic infauna of the geographic regions from
which the data sets were obtained.

        The  chemical  data  also  must  be subjected to rigorous
quality assurance review. Chemical data sets which do not contain
adequate documentation of precision, accuracy, comparability, and
representativeness   should  be  used  with  caution.  Analytical
detection  limits  should  be  documented  and  values  less than
two-fold  greater than the detection limits should not be used to
calculate  SSLCs.  Data  sets  based on results of analyses using
analytical  techniques  which  have subsequently been found to be
inaccurate   or  subject  to  excessive  interference  should  be
rejected. When several data sets from different regions are being
combined   to  calculate  a  single  SLC  value,  the  analytical
techniques  used  to  generate  the different data sets should be
comparable  or  at  least  capable of yielding roughly comparable
results.

        Based  on  the  number and distribution (in terms of both
range  of  concentrations  and number of different locations from
which  observations were used) of observations, the saltwater SLC
for PCBs is the most technically sound marine SLC value generated
in  this preliminary evaluation of the SLC approach to developing
sediment  quality  criteria.  The SLC value for PCBs in saltwater
sediments,  4.26  ug/g  organic  carbon, compares reasonably well
with  the permissible sediment chemical concentration (PCC) based
on  equilibrium partitioning for PCBs of 1.84 ug/g organic carbon
calculated   for   all   sediments   according   to   a  sediment
normalization approach of Kadeg et al. (1986).

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                               23.
                       5.0 RECOMMENDATIONS

1.  The  SLC  approach  to deriving sediment quality criteria has
merit and warrants further evaluation and refinement.

2.  The  requirements for the number of observations necessary to
calculate an SSLC should be reduced to 10 and the number of SSLCs
required  to calculate an SLC should be increased to at least 20.
This  relationship should be evaluated statistically in detail to
arrive at the most statistically sound approach to deriving SLCs.

3. The choice of the 90th percentile of observations for the SSLC
and  the 5th percentile of SSLCs for the SLC value also should be
evaluated  statistically,  using  real  data  sets,  in  order to
develop an approach to calculating SLCs that makes optimal use of
the available data.

4.  Additional  data, particularly from sites known to be heavily
contaminated  with the pollutants of interest, should be acquired
and  added to the database. The effects of the inclusion of these
additional data on _the SLCs generated should be evaluated.

5.  A  statistical  analysis should be performed to determine the
optimum   range   and   distribution   of   sediment  contaminant
concentrations for calculating SLCs.

6.  All  data bases used to calculate SLCs should be subjected to
rigorous  quality  assurance  review. Both the biological and the
chemical  data  should  be  evaluated  for  precision,  accuracy,
comparability,   and   representativeness.   Criteria  should  be
developed  for  accepting  or  rejecting  databases  based on the
outcome of this quality assurance review.

7.  Investigators  should  be encouraged in designing new benthic
monitoring   and   pollution   assessment   programs  to  include
collection   of  synoptic  data  on  benthic  infaunal  community
structure,  sediment  contaminant  concentrations,  and  sediment
organic carbon concentrations.

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                               24.
                        LITERATURE CITED

Boehm,    P.D.    1982.    Organic   pollutant   transforms   and
bioaccumulation   of   pollutants   in  the  benthos  from  waste
disposal-associated sediments. Tech. Rep. submitted to U.S. Dept.
of Commerce, NOAA, Rockville, MD. 78pp.

Chapman,  P.M., and E.R. Long. 1983. The use of bioassays as part
of  a comprehensive approach to marine pollution assessment. Mar.
Pollut. Bull. JU: 81-84.

Eadie,  B.J.,  W.  Faust,  W.S.  Gardner,  and  T. Nalepa. 1982a.
Polycyclic  aromatic  hydrocarbons  in  sediments  and associated
benthos in Lake Erie. Chemosphere 11; 185-191.

Eadie,  B.J.,  W.R.  Faust,  P.F.  Landrum,  N.R. Moorehead, W.S.
Gardner,  and  T.  Nalepa. 1983. Bioconcentrations of PAH by some
benthic   organisms   of  the  Great  Lakes.  Pages  437-449  In;
Polynuclear  Aromatic  Hydrocarbons:  Formation,  Metabolism, and
Measurement.  Ed.  by  M.  Cooke and A.J. Dennis. Battelle Press,
Columbus, OH.

Eadie,  B.J.,  P.F.  Landrum,  and  W.  Faust.  1982b. Polycyclic
aromatic  hydrocarbons  in sediments, pore water and the amphipod
Pontoporeia hoyi from Lake Michigan. Chemosphere 11; 847-849.

Gilford,  J.H.,  and R.W. Zeller. 1986. Information needs related
to  toxic chemicals bound to sediments- a regulatory perspective.
In;  Fate  and  Effects  of  Sediment-Bound  Chemicals in Aquatic
Systems.  Proceedings  of  the  Seventh Pellston Workshop. Ed. by
K.L. Dickson, A.W,* Maki, and W. Brungs. Society of Environmental
Toxicology and Chemistry, (in press).

Grassle,  J.P.,  and  J.F.  Grassle. 1976. Sibling species in the
marine   pollution  indicator  Capitella  capitata  (Polychaeta).
Science 192: 567-569.
Kadeg,  R.D.,  S.P.  Pavlou,  and  A.S.  Duxbury.  1986. Sediment
criteria  methodology  validation.  Work  Assignment 37, Task II.
Elaboration of sediment normalization theory for nonpolar organic
chemicals.  Report  to U.S. EPA, Criteria and Standards Division,
Washington, D.C. 44pp plus append.

Karickhoff,  S.W.,  and  K.R.  Morris.  1986. Pollutant sorption:
Relationship   to   bioavailability.  In;  Fate  and  Effects  of
Sediment-Bound  Chemicals  in Aquatic Systems. Proceedings of the
Sixth  Pellston  Workshop. Ed. by K.L. Dickson, A.W. Maki, and W.
Brungs.  Society  of  Environmental Toxicology and Chemistry, (in
press).

Lake,  J., G.L. Hoffman, and S.C. Schimmel. 1985. Bioaccumulation
of  contaminants  from  Black  Rock  Harbor  dredged  material by

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                               25.
mussels  and  polychaetes.  Tech. Rep. D-85-2. U.S. Army Corps of
Engineers and U.S. EPA, Washington, D.C. 150pp.

Larsson,  P. 1985. Contaminated sediments of lakes and oceans act
as  sources  of chlorinated hydrocarbons for release to water and
atmosphere. Nature 317; 347-349.

Long,  E.R.,  and  E.R.  Chapman. 1985. A sediment quality triad:
Measures   of   sediment  contamination,  toxicity  and  infaunal
community  composition  in  Puget  Sound.  Mar. Pollut. Bull. 16;
405-515.

Mood,  A.M.,  F.A. Graybill, and D.C. Boes. 1974. Introduction to
the Theory of Statistics. McGraw-Hill, New York. 564pp.

Neff,  J.M. 1984. Bioaccumulation of organic micropollutants from
sediments and suspended particulates by aquatic animals. Fres. z.
Anal. Chem. 319; 132-136.

Palawski,  D.,  J.B.  Hunn,  and F.J. Dwyer. 1985. Sensitivity of
young striped bass to organic and inorganic contaminants in fresh
and saline waters. Trans. Amer. Fish. Soc. 114; 748-753.

Pavlou,   S.P.,   and   R.N.   Dexter.   1979.   Distribution  of
polychlorinated  biphenyls (PCB) in estuarine ecosystems. Testing
the   concept   of   equilibrium   partitioning   in  the  marine
environment. Environ. Sci. Technol. 13; 65-71.

Quenouille,  M.  1956.  Notes  on bias estimation. Biometrica 43;
353-360.

Shapiro,  S.S.,  and  M.B. Wilk. An analysis of variance test for
normality (complete samples). Biometrica 52; 591-611.

Sokol,  R.R.,  and  F.J. Rohlf. 1969. Biometry. W.H. Freeman, San
Francisco. 776 pp.

Tetra  Tech,  Inc.  1986. Tasks 4 and 5a. Application of selected
sediment  quality value approaches to Puget Sound Data. Report to
U.S.  Army  Corps of Engineers, Seattle District, Seattle, WA. 59
PP plus append.

Thompson,  B.E.  1982.  Variation  in  benthic assemblages. Pages
45-58 In: Coastal Research Project. Biennial Report for the Years
1981-1982.  Ed.  by  W. Bascom. Southern California Coastal Water
Research Project, Long Beach, CA.

Varanasi,  U.,  W.L.  Reichert,  J.E. Stein, D.w. Brown, and H.R.
Sanborn.  1985. Bioavailability and biotransformation of aromatic
hydrocarbons  in  benthic  organisms  exposed to sediment from an
urban estuary. Environ. Sci. Technol. 19; 836-841.

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                                 26,
TABLE 1.    LIST  OF  DATA SETS  USED TO CALCULATE  FRESHWATER SLCs BY
            STATE AND THE NUMBER OF STATIONS IN EACH DATA SET.
     Data  Set  Location                                No. of Stations


                               ILLINOIS

Big Muddy River                                               3
Calumet Channel                                               4
Casey Ft?rk                                                    4
Des Plaines River                                             4
Fox River                                                     8
Green River                                                   3
Illinois River                                                6
Kankanee River                                                8
Kaskaskia River                                               8
LaMoine River                                                 3
Little Calumet River                                          3
Little Wabash River                                           1
Lusk Creek                                                    4
Middle Fork Saline River                                      3
Mississippi River                                            10
North Branch Chicago River                                    3
North Fork Saline River                                       2
Rock River                                                    7
Salt Creek                                                    4
Sanitary/Ship Canal                                           1
South Fork Saline River                                       3
Vermilion River                                               2
Wabash River                                                	3

     TOTAL                                                   97

                               INDIANA

Indiana Harbor                                               21

     TOTAL                                                   21

                               MICHIGAN

Caseville Harbor                                              1
Detroit River                                                59
Grand Haven Harbor                                            8
Hammond Bay Harbor                                            1
Holland                                                      12

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                                 27.
TABLE 1.    (Continued)
     Data  Set Location                                No. of Stations


                           MICHIGAN (CONT)

Lake St. Clair Channel                                         7
Manistee River                                                2
Monroe Harbor                                                 1
Point Lookout Harbor                                          1
Thunder Bay                                                 	3

     TOTAL                                                   95

                               NEW  YORK

Cape Vincent    •                                              5
Dunkirk                                                       5
Little Salmon River                                           1
Oak Orchard                                                   4
Ogdensburg Harbor                                             1
Olcott Harbor                                                 6
Port Ontario                                                  1
Sakets Harbor                                               	5

     TOTAL                                                   28

                                OHIO

Ashtabula Harbor                                              7
Conneaut                                                      8
Cuyahoga River                                               14
Fairport                                                     11
Sandusky Bay                                                 10

     TOTAL                                                   50

                              WISCONSIN

Algoma Harbor                                                 4
Ashland Harbor                                                2
Grant Park                                                    4
Green Bay                                                    17
Kenosha Harbor                                                3
Port Wing                                                   	2

     TOTAL                                                   32

          GRAND TOTAL                                       323

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                                      28.
TABLE 2.    LIST OF DATA SETS USED TO  CALCULATE  SALTWATER  SLCs  BY LOCATION AND
            NUMBER OF STATIONS.
Cruise/Survey
Region Code
NY Bight AL8109
DL8206
AL8201
AL8210
KE8007
Number of
Stations
44
4
6
1
33
                                                      TOTAL               88

S. Calif. Bight                 730                                       39
                                80Q                                       12
                                81S                                       13
                               80m80                                      33

                                                      TOTAL               97

Puget Sound                     SAM                                        4
                               DABOB                                       4
                                SEQ                                        4
                               CASE                                        4
                               BELL                                        8
                                ELL                                        8
                               EVER                                        8
                             •  SINCL                                       8
                               MSQS                                       50
                              URSCCI                                      10

                                                      TOTAL              108

                           GRAND TOTAL                                   293

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                                      29.
TABLE 3.    CONCENTRATION  RANGES   OF  CONTAMINANTS  IN  SEDIMENTS   FROM  THE
            FRESHWATER  DATA  BASE,  EXPRESSED  IN  TERMS  OF  BULK SEDIMENT  AND
            NORMALIZED TO SEDIMENT TOTAL ORGANIC CARBON CONCENTRATION.
                                                           Organic Carbon
                          Concentration Range         Normalized Concentration
     Compound                pg/g Dry Sed.                Range pg/g Org C


DDT                           0.0 - 30.7                    0.0 - 3,520

PCBs                          0.0 - 23.13                   0.0 - 600

Dieldrin                      0.0 -  1.00                   0.0 - 24.5

Chlordane                     0.0 -  1.00                   0.0 - 25.1

Heptachlor Epoxide            0.0 -  1.00                   0.0 - 29.1

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                                           30.
TABLE 4.
CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
CONCENTRATIONS (SSLCs)  FOR DDT  IN  FRESHWATER SEDIMENTS.  THE NUMBER
OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
Cumulative
Frequency (%)
4.8
9.5
14.3
19.0
23.8
28.6
33.3
38.1
42.9
47.6
52.4
57.1
61.9
66.7
71.4
76.2
80.9
85.7
90.6
95.2
100.0
SSLC
(ug/g Org. C)
0.189
0.208
0.227
0.283
0.283
0.286
0.286
0.333
0.345
0.345
2.471
2.667
2.667
2.667
3.000
3.000
3.182
3.182
4.429
16.842
20.000
No. of
Observations
20
28
25
42
35
36
20
54
37
34
25
23
20
56
55
26
20
26
43
31
56
Organism
Stenonema exiquum
Stenonema pulchellum
Cyrnellus fraternus
Stenonema integrum
Stenonema terminatus
Hyalella azteca
Pentanerua mallochi
Stenacron interpunctatum
Hydropsyche frisoni
Hydropsyche orris
Asellus intermedius
Limnodrilus claparedeianus
Limnodrilus udekemianus
Tubifex tubifex
Limnodrilus hoffmeisteri
Valvata sincera
Limnodrilus cervix
Potamothrix vejdovskyi
Peloscolex ferox
Peloscolex multisetosus
Gammarus fasciatus

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                                           31.
TABLE 5.
      CUMULATIVE  FREQUENCY   AND  VALUES   FOR  SPECIES  SCREENING   LEVEL
      CONCENTRATIONS (SSLCs) FOR TOTAL POLYCHLORINATED  BIPHENYLS  (PCBs)  IN
      FRESHWATER SEDIMENTS.   THE NUMBER OF OBSERVATIONS USED  TO  CALCULATE
      EACH SSLC ALSO IS GIVEN.
Rank
 Cumulative
Frequency (%)
    SSLC
(M9/9  Org.  C)
   No. of
Observations
Organism
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
15
17
18
19
20
21
4.8
9.5
14.3
19.0
23.8
28.6
33.3
38.1
42.9
47.6
52.4
57.1
61.9
66.7
71.4
76.2
81.0
85.7
90.5
95.2
100.0
0.286
0.379
0.606
0.650
0.722
0.722
0.949
1.905
3.137
4.655
7.442
9.318
24.260
29.259
29.600
34.286
45.714
52.778
52.778
56.338
103.448
25
35
28
34
37
42
20
54
20
25
36
26
26
23
56
43
20
20
55
56
31
Cyrnellus fraternus
Stenonema terminatum
Stenonema pulchellum
Hydropsyche orris
Hydro psyche frisoni
Stenonema integrum
Stenonema exiquum
Stenacron interpunctatum
Pentaneura mallochi
Asellus intermedius
Hyalella azteca
Potamothrix vejdovskyi
Valvata sincera
Limnodrilus claparedeianus
Tubifex tubifex
Peloscolex ferox
Limnodrilus udekemianus
Linmodrilus cervix
Limnodrilus hoffmei.steri
Gammarus fasciatus
Peloscolex multisetosus

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                                           32.
TABLE 6.
CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
CONCENTRATIONS  (SSLCs)  FOR  OIELDRIN  IN  FRESHWATER  SEDIMENTS.   THE
NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
          Cumulative
Rank     Frequency (%)
                 SSLC
             (M9/9 Org. C)
   No. of
Observations
Organism
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
6.3
12.5
18.8
25.0
31.2
37.5
43.7
50.0
56.2
62.5
68.8
75.0
81.3
87.5
93.8
100.0
0.026
0.084
0.115
0.139
0.167
0.167
0.178
0.178
0.185
0.185
0.186
0.194
0.200
0.260
0.370
1.000
40
24
34
23
52
56
34
40
51
26
36
24
34
28
26
56
Peloscolex ferox
Cyrnellus- fraternus
Stenonema terminatum
Limnodrilus claparedeianus
Limnodrilus hoffmeisteri
Tubifex tubifex
Hydropsyche orris
Stenonema integrum
Stenacron interpunctatum
Stenonema pulchellum
Hydropsyche frisoni
AseTliis intermedius
Hyalella azteca
Peloscolex multisetosus
Valvata sincera
Gammarus fasciatus

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                                           33.
TABLE 7.
CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
CONCENTRATIONS  (SSLCs)  FOR  CHLORDANE  IN  FRESHWATER SEDIMENTS.  THE
NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
           Cumulative
Rank     Frequency (%)
                 SSLC
             (M9/9 Org. C)
   No. of
Observations
Organism
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
6.3
12.5
18.8
25.0
31.2
37.5
43.8
50.0
56.3
52.5
68.8
75.0
81.3
87.5
93.8
100.0
0.124
0.136
0.141
0.143
0.172
0.172
0.173
0.185
0.208
0.256
0.309
0.466
0.714
1.086
2.821
8.511
38
40
33
23
32
32
23
47
23
56
29
20
47
28
26
56
Stenonema integrum
Peloscolex ferox
Stenonema terminatum
Cyrnellus fraternus
Hydropsyche frisoni
Hydropsyche orris
Stenonema pulchellum
Stenacron interpunctatum
Limnodrilus claparedeianus
Tubifex tubifex
Hyalella azteca
Asellus intermedius
Limnodrilus hoffmeisteri
Peloscolex muHisetosus
Valvata sincera
Gammarus fasciatus

-------
                                           34.
TABLE 8.
CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
CONCENTRATIONS   (SSLCs)   FOR   HEPTACHLOR   EPOXIDE   IN   FRESHWATER
SEDIMENTS.   THE  NUMBER OF  OBSERVATIONS  USED TO CALCULATE  EACH SSLC
ALSO IS GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
Cumulative
Frequency (%)
8.3
16.7
25.0
41.7
41.7
50.0
58.3
66.7
75.0
83.3
91.7
100.0
SSLC
(pg/g Org. C)
0.013
0.029
0.029
0.034
0.034
0.037
0.043
0.050
0.053
0.705
1.086
4.878
No. of
Observations
52
37
34
33
31
24
48
23
34
26
28
56
Organism
Limnodrilus ho f fine is ten
Stenonema integrum
Stenonema terminatum
Hydro psyche frisoni
Hydropsyche orris
Stenonema pulchellum
Stenacron interpunctatum
Asellus intermedius
Hyalella azteca
Valvata sincera
Peloscolex multisetosus
Gammarus fasciatus

-------
                                      35.
TABLE 9.    CONCENTRATION   RANGES   OF  CONTAMINANTS   IN   SEDIMENTS   FROM  THE
            SALTWATER  DATA BASE,  EXPRESSED  IN  TERMS  OF  BULK  SEDIMENT  AND
            NORMALIZED TO SEDIMENT TOTAL ORGANIC CARBON CONCENTRATION.
                                                           Organic Carbon
                          Concentration Range         Normalized Concentration
     Compound                pg/g Dry Sed.                Range pg/g Org C
PCBs                          0.0005 - 3.18                 0.625 - 271.96

DDT                           0.0010 - 149.0                0.109 - 7292.3

Naphthalene                   0.0011 - 1.20                 0.110 - 342.86

Phenanthrene                  0.0062 - 1.50                 1.088 - 428.57

Fluoranthene                  0.300 - 1.50                  1.875 - 428.57

Benz(a)anthracene             0.093 - 1.30                  0.581 - 371.43

Chrysene                      0.059 - 1.30                  0.368 - 371.43

Pyrene                        0.290 - 2.60                  1.812 - 742.86

Benzo(a)pyrene                0.100 - 1.20                  0.625 - 342.86

-------
                                           36.
TABLE 10.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING   LEVEL
               CONCENTRATIONS (SSLCs)  FOR DDT IN SALTWATER  SEDIMENTS.   THE  NUMBER
               OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Cumulative
Frequency (%)
5.9
11.8
17.6
23.5
29.4
35.3
41.2
47.1
52.9
58.8
64.7
70.6
76.5
82.4
88.2
94.1
100.0
SSLC
(pg/g Org. C)
50.488'
50.488
68.696
113.684
137.692
137.692
207.917
954.033
1186.331
1260.058
1392.128
1407.287
1511.990
1816.188
1999.961
2069.586
2069.586
No. of
Observations
21
27
29
21
29
20
20
62
79
45
86
61
101
51
44
37
57
Organism
Ampelisca brevisimulata
Amphiodia (Amphispina) urtica
Euphilomedes carcharodonta
Heterophoxus oculatus
Compsomyax subdiaphana
Sthenelanella uniformis
Chloeia pinnata
Pectinaria californiensis
Axinopsida sericata
Paraprionospio pinnata
Glycera capitata
Prionospio steenstrupi
Parvilucina tenuisculpta
Macoma carlottensis
Capitella capitata
Spiophanes berkeleyorum
Tellina carpenteri

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                                           37.

TABLE 11.      CUMULATIVE   FREQUENCY  AND   VALUES   FOR  SPECIES   SCREENING  LEVEL
               CONCENTRATIONS (SSLCs) FOR TOTAL  POLYCHLORINATED  BIPHENYLS (PCBs) IN
               SALTWATER  SEDIMENTS.   THE NUMBER OF OBSERVATIONS  USED  TO CALCULATE
               EACH SSLC ALSO IS GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
Cumulative
Frequency (%)
2.0
3.9
5.9
7.8
9.8
11.8
13.7
15.7
17.6
19.6
21.6
23.5
25.5
27.5
29.4
31.4
33.3
35.3
37.3
39.2
41.2
43.1
45.1
47.1
49.0
51.0
52.9
54.9
56.9
58.8
60.8
62.7
64.7
66.7
68.6
70.6
72.5
74.5
76.5
78.4
80.4
82.4
84.3
86.3
88.2
90.2
92.2
94.1
96.1
98.0
100.0
SSLC
(ng/g Org. C)
3.394
3.871
4.583
4.634
4.634
4.714
4.714
4.841
4.841
4.841
4.841
6.000
6.000
7.500
7.500
8.000
8.000
8.000
8.000
8.854
9.143
10.000
10.000
10.000
10.000
10.625
10.625
10.941
11.417
11.731
13.769
16.935
18.644
27.736
30.118
33.103
33.905
39.683
40.017
40.017
41.143
42.755
45.045
46.025
46.307
47.817
52.058
52.058
56.307
58.774
71.315
No. of
Observations
21
32
24
22
22
24
27
29
27
30
26
23
33
25
33
39
22
24
24
25
54
23
27
26
33
30
29
32
24
37
25
55
21
28
21
26
20
20
23
56
109
38
74
90
20
56
100
67
89
42
40
Organism
Spiochaetopterus costarum
Nephtys ferruginea
Harmothoe extenuata
Euchone elegans
Scalibregma inflatum
Drilonereis Tonga
Spiophanes bombyx
Anobothrus gracilis
Arctica islandica
Euchone incolor
Ninoe ni gripes
Nephtys incisa
Nucula proxima
Mediomastus ambiseta
Tharyx acutus
Aricidea catherinae
Caulleriella cf killariensis
Goniadella gracilis
Unciola irrorata
Lumbri nereis hebes
Pholoe minuta
Paraonis gracilis
Pherusa affinis
Phyllodoce mucosa
Tharyx annulosus
Lumbri nereis acicularum
Pitar morrhuanus
Tellina agilis
Glycera dibranchiata
Amphiodia (amphispina) urtica
Heterophoxus oculatus
Euphilomedes carcharodonta
Prionospio cirri fera
Cossura longocirrata
Ampelisca brevisimulata
Compsomyax subdiaphana
Sthenelanella uniformis
Armandia brevis
Glycinde armigera
Pectinaria cal iforniensis
Prionospio steenstrupi
Nephtys cornuta franciscana
Capitella capitata
Axinopsida sericata
Chloeia pinnata
Prionospio pinnata
Glycera capitata
Macoma carlottensis
Parvilucina tenuisculpta
Spiophanes berkeleyorum
Tellina carpenteri

-------
                                           38.
TABLE 12.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
               CONCENTRATIONS (SSLCs)  FOR  NAPHTHALENE  IN SALTWATER  SEDIMENTS.   THE
               NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
13
19
20
21
22
23
24
Cumulative
Frequency (%)
4.2
3.3
12.5
16.7
20.8
25.0
29.2
33.3
37.5
41.7
45.8
50.0
54.2
58.3
62.5
66.7
70.8
75.0
79.2
83.3
37.5
91.7
95.8
100.0
SSLC
(pg/g Org. C)
36.036
39.565
40.000
41.394
41.765
41.765
41.765
41.765
43.333
43.333
47.436
47.436
47.436
51.980
51.980
51.980
51.980
51.980
51.980
52.055
52.055
57.059
57.059
57.059
No. of
Observations
20
24
53
25
51
22
45
24
24
25
52
52
55
49
20
31
50
26
21
29
21
28
27
30
Organism
Glycinde armigera
Prionospio cirri fera
Capitella capitata
Armandia brevis
Axinopsida sericata
Euchone incolor
Nephtys cornuta franciscana
Praxillella gracilis
Compsomyax subdiaphana
Goniada brunnea
Euphilomedes carcharodonta
Glycera capitata
Macoma carlottensis
Nephtys ferruginea
Phyllodoce hartmanae
Platynereis bicanal iculata
Prionospio steenstrupi
Sp'iochaetopterus costarum
Spiophanes berkeleyorum
Glycera americana
Pectinaria californiensis
Amphiodia (Amphispina) urtica
Parvilucina tenuisculpta
Pholoe tninuta

-------
                                           39.
TABLE 13.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING   LEVEL
               CONCENTRATIONS (SSLCs) FOR PHENANTHRENE  IN SALTWATER SEDIMENTS.   THE
               NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
           Cumulative
Rank     Frequency (%)
    SSLC
(M9/g  Org.  C)
   No. of
Observations
Organism
1
2
3
4
5
6
7
3
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
4.0
8.0
12.0
16.0
20.0
24.0
28.0
32.0
36.0
40.0
44.0
48.0
52.0
56.0
60.0
64.0
68.0
72.0
76.0
80.0
84.0
88.0
92.0
96.0
100.0
22.368
36.576
36.576
38.356
38.514
39.726
39.726
40.588
40.588
40.588 '
40.588
52.294
52.294
52.294
52.294
54.167
55.372
55.372
55.372
55.372
55.372
75.000
75.000
75.000
75.000
21
25
25
25
20
52
27
25
53
51
25
56
56
55
21
54
29
54
20
37
22
29
27
32
26
Glycinde armigera
Armandia brevis
Prionospio cirrifera
Euchone incolor
Phyllodoce hartmanae
Axinopsida sericata
Goniada brunnea
Compsomyax subdiaphana
Euphilomedes carcharodonta
Nephtys ferruginea
Praxillella gracilis
Capitella capitata
Glycera capitata
Macoma carlottensis
Pectinaria cal iforniensis
Prionospio steenstrupi
Amphiodia (amphispina) uritica
Nephtys cornuta franciscana
Paraprionospio pinnata
Pholoe minuta
Spiophanes berkeleyorum
Glycera americana
Parvilucina tenuisculpta
Platynereis bicanal iculata
Spiochaetopterus costarum

-------
                                           40.
TABLE 14.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING   LEVEL
               CONCENTRATIONS (SSLCs) FOR FLUORANTHENE  IN SALTWATER SEDIMENTS.   THE
               NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
          Cumulative
Rank     Frequency (%)
    SSLC
(M9/9  Org.  C)
   No. of
Observations
Organism
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
3.8
7.7
11.5
15.4
19.2
23.1
26.9
30.8
34.6
38.5
42.3
46.2
50.0
53.8
57.7
61.5
65.4
69.2
73.1
76.9
80.8
84.6
83.5
92.3
96.2
100.0
36.184
58.993
61.321
64.286
66.138
81.081
81.651
81.651
97.872
111.765
124.65&
124.658
124.658
124.658
124.658
124.658
129.412
129.412
129.412
129.412
135.294
135.294
135.294
146.552
164.384
164.384
21
27
20
22
25
20
27
26
59
52
28
53
55
57
51
58.
25
57
41
20
27
21
25
32
29
29
Glycinde armigera
Prionospio cirri fera
Paraprionospio pinnata
Spiophanes berkeleyorum
Armandia brevis
Phyllodoce hartmanae
Goniada brunnea
Spiochaetopterus costarum
Capitella capitata
Axinopsida sericata
Euchone incolor
Euphilomedes carcharodonta
Macoma carlottensis
Nephtys cornuta franciscana
Nephtys ferruginea
Prionospio steenstrupi
Compsomyax subdiaphana
Glycera capitata
Pholoe minuta
Scalibregma inflatum
Parvilucina tenuisculpta
Pectinaria cal i form' ens is
Praxillella gracilis
Platynereis bicanal iculata
Amphiodia (amphispina) urtica
Glycera americana

-------
                                           41.
TABLE 15.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
               CONCENTRATIONS (SSLCs) FOR BENZ(A)ANTHRACENE  IN  SALTWATER SEDIMENTS.
               THE  NUMBER  OF  OBSERVATIONS  USED TO  CALCULATE  EACH  SSLC   ALSO  IS
               GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
Cumulative
Frequency (%)
4.3
8.7
13.0
17.4
21.7
26.1
30.4
34.8
39.1
43.5
47.8
52.2
56.5
50.9
65.2
69.6
73.9
78.3
82.6
87.0
91.3
95.7
100.0
SSLC
(M9/9 Org. C)
24.348
35.477
35.477
40.952
41.322
42.466
44.118
44.118
44.118
44.118
44.118
44.118
47.647
47.647
47.647
47.647
47.647
47.945
51.765
51.765
51.765
51.802
51.802
No. of
Observations
24
25
21
26
26
52
57
25
28
53
57
56
50
27
21
25
57
29
30
50
40
20
30
Organism
Prionospio cirri fera
Armandia brevis
Spiophanes berklyorum
Goniada brunnea
Spiochaetopterus costarum
Axinopsida sericata
Capitella capitata
Compsomyax subdiaphana
Euchone incolor
Euphilomedes carcharodonta
Glycera capitata
Macoma carlottensis
Nephthys ferruginea
Parviculina tenniscul pta
Pectinaria californiensis
Praxillella gracilis
Prionospio steenstrupi
Ampho i od i a ( Amph i s pi na ) urt i ca
Glycera americana
Nephthys cornuta franciscana
Phloe minuta
Phyllodoce hartmanae
Platynereis bicanaliculata

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                                           42.
TABLE 16.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING   LEVEL
               CONCENTRATIONS  (SSLCs)   FOR  PYRENE   IN  SALTWATER  SEDIMENTS.    THE
               NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
          Cumulative            SSLC             No. of
Rank     Frequency (%)      (n9/9 Org. C)     Observations              Organism
1
2
3
4
5
6
7
8
9
10
11
12
13
14 .
15
16
17
18
19
20
21
22
23
24
25
26
27
3.7
7.4
11.1
14.8
18.5
22.2
25.9
29.6
33.3
37.0
40.7
44.4
48.1
51.9
55.6
59.3
63.0
66.7
70.4
74.1
77.8
81.5
85.2
88.9
92.6
96.3
100.0
31.579
65.217
73.171
74.380
75.000
82.375
82.375
84.906
84.906
84.932
87.671
87.671
87.671
94.118
94.118
94.118
100.000
100.000
100.000
100.000
100.719
105.882
105.882
105.882
105.882
105.882
105.882
22
27
25
22
27
20
26
20
20
52
53
55
51
59
57
58.
25
28
21
25
57
29
29
27
41
32
20
Glycinde armigera
Prionospio cirri fera
Armandia brevis
Spiophanes berkeleyorum
Goniada brunnea
Phyllodoce hartmanae
Spiochaetopterus costarum
Paraprionospio pinnata
Tharyx monilaris
Axinopsida sericata
Euphilomedes carcharodonta
Macoma carlottensis
Nephtys ferruginea
Capitella capitata
Glycera capitata
Prionospio steenstrupi
Compsomyax subdiaphana
Euchone incolor
Pectinaria cal iforniensis
Praxillella gracilis
Nephtys cornuta franciscana
Amphiodia (amphispina) urtica
Glycera americana
Parvilucina tenuisculpta
Pholoe minuta
Platynereis bicanal iculata
Scalibregma inflatum

-------
                                           43.
TABLE 17.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING  LEVEL
               CONCENTRATIONS  (SSLCs)  FOR  CHRYSENE  IN  SALTWATER  SEDIMENTS.    THE
               NUMBER OF OBSERVATIONS USED TO CALCULATE EACH SSLC ALSO IS GIVEN.
           Cumulative             SSLC             No. of
Rank     Frequency (%)      (^9/9 Or9- C)     Observations              Organism
1
2
3
4
5
6
7
3
9
10
11
12
13 '
14
15
16
17
18
19
20
21
22
23
4.3
8.7
13.0
17.4
21.7
26.1
30.4
34.8
39.1
43.5
47.8
52.2
56.5
60.9
65.2
69.6
73.9
78.3
82.6
87.0
91.3
95.7
100.0
35.652
52.893
57.143
60.847
62.084
62.084
62.084
63.694
63.694
64.706
64.706
64.706
64.706
68.966
68.966
69.863
69.863
69.863
75.314
76.471
76.471
76.471
76.471
24
21
26
25
51
57
20
28
57
52
55
50
50
56
25
21
31
25
25
29
29
26
40
Prionospio cirrifera
Spiophanes berkeleyorum
Goniada brunnea
Armandia brevis
Axinopsida sericata
Capital la capita ta
Phyllodoce hartmanae
Euchone Tricolor
Prionospio steenstrupi
Euphilomedes carcharodonta
Macoma carlottensis
Nephtys cornuta franciscana
Nephtys ferruginea
Glycera capitata
Spiochaetopterus costarum
Pectinaria californiensis
Platynereis bicanaliculata
Praxillella gracilis
Compsoinyax subdiaphana
Amphiodia (amphispina) urtica
Glycera americana
Parvilucina tenuisculpta
Pholoe minuta

-------
                                           44.
TABLE 18.      CUMULATIVE   FREQUENCY   AND  VALUES   FOR  SPECIES   SCREENING   LEVEL
               CONCENTRATIONS  (SSLCs)  FOR  8ENZO(A)PYRENE  IN  SALTWATER  SEDIMENTS.
               THE  NUMBER  OF  OBSERVATIONS  USED TO  CALCULATE  EACH  SSLC  ALSO  IS
               GIVEN.
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
15
17
18
19
20
21
22
23
Cumulative
Frequency (%)
4.3
8.7
13.0
17.4
21.7
26.1
30.4
34.8
39.1
43.5
47.8
52.2
56.5
60.9
55.2
69.6
73.9
78.3
82.6
87.0
91.3
95.7
100.0
SSLC
(jag/g Org. C)
39.504-
39.604'
46.552
46.795
49.315
49.315
50.000
50.000
50.000
50.000
50.000
51.887
. 52.910
52.910
52.910
55.372
55.372
55.372
55.372
61.644
61.644
66.667
137.387
No. of
Observations
21
21
52
26
28
25
51
25
52
56
25
43
25
55
56
49
26
21
37
29
29
29
20
Organism
Prionospio cirri fera
Spiophanes berkeleyorum
Capitella capitata
Spiochaetopterus costarum
Euchone incolor
Goniada brunnea
Axinopsida sericata
Compsomyax subdiaphana
Euphilomedes carcharodonta
Glycera capitata
Praxillella gracilis
Nephtys cornuta franciscana
Armandia brevis
Macoma carlottensis
Prionospio steenstrupi
Nephtys ferruginea
Parvilucina tenuisculpta
Pectinaria californiensis
Pholoe minuta
Amphiodia (Amphispina) urtica
Glycera americana
Platynereis bicanaliculata
Phyllodoce hartmanae

-------
TABLE 19.   SUMMARY  OF  SCREENING  LEVEL  CONCENTRATIONS   (SLCs)   FOR   FRESHWATER   AND  SALTWATER
            SEDIMENTS.   VALUES   IN  \iq  CONTAMINANT  PER  g SEDIMENT  ORGANIC  CARBON  (PARTS  PER
            MILLION).
         Compound
                                                   SLC  (Confidence  Interval and a)
         Freshwater
        Saltwater
Heptachlor Epoxide

Chlordane

Dieldrin

Polychlorinated Biphenyls

DDT

Naphthalene

Phenanthrene

Fluoranthene

Benz(a)anthracene

Chrysene

Pyrene

Benzo(a)pyrene
0.008(C.I.=0.0-0.029,o-0.02)

0.098(C.I.=0.0-0.136,a=0.04)

0.021(C.I.=0.0-0.084,o=0.04)

0.290(C.I.=0.0-0.65,a=0.02)

0.190(C.I.=0.0-0.283,a=0.02)
4.26(C.I.=0.0-4.63,0=0.03)

42.8(C.I. = 0.0-113.7,a=0.03)

36.7(C.I.-0.0-41.4,a=0.03)

25.9(C.I.=0.0-38.4,a=0.03)

43.2(C.I.=0.0-64.3,a=0.04)

26.1(C.I.=0.0-41.0,a=0.03)

38.4(C.I.=0.0-60.5,a=0.03)

43.4(C.I.=0.0-74.4,a=0.06)

39.6(C.I.=0.0-46.8,a=0.03)

-------
                             46.
o 1000
u
'c
| 100
o
O>
"ra 10
3
C
s 1.0
a
"c
S 0.1
c
0
u
0.01 .
90th Percentile Concentration
SSLC for 'A' /

f r

_"" X
X
X X
XX
Y X
X
X
x x
X
x

x x
> 1 1 1 I 1 1 1 1 1 1 1 1 1 1 1 1
X

X
k











1 1
1 2 3 4 5 6 7 8 9 10 11 12 13 U 15 16 17 18 19 20
Sites Where Species "A° is Present

A. CALCULATION OF SPECIES SCREENING LEVEL CONCENTRATION (SSLC)
o
u
'c
a
0)
o 10000
O)
D
. 1000
c
0
1 100
"c
a
U
c
o 10
u
_l
 1

_



_


0











Y X X
xXX xx xxx x
X X
w X
-5% SLC x, X- A
/ x x
~* t 1 III 1 1 1 1 1






,

0 10 20 30 40 50 60 70 80 90 100
Cumulative Frequency of Species*

B. CALCULATION OF SCREENING LEVEL CONCENTRATION (SLC)
FIGURE 1.  A SCHEMATIC ILLUSTRATION OF THE CALCULATION OF
           SCREENING LEVEL CONCENTRATIONS (SLCs) FOR
           NONPOLAR ORGANIC CONTAMINANTS IN SEDIMENTS.

-------
                               47.
           +
O)
Q
Q
                                * *  *
     0.25 +         *   *  -A-  *   *
              *   -.if
          0.00       0.20       0.40       0.60       0.SO

                             Cumulative Frequency
 FIGURE 2.  CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
            SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR  DOT  IN
            FRESHWATER SEDIMENTS. SSLC  VALUES  ARE  INpG  DDT/G
            SEDIMENT ORGANIC CARBON.

-------
                               48.
           -                                            -k
       40   +                                       * *
O
O

O)
m          -                     *
o
°"       1   +                   *
                    *  * * *

               *   *

      0 .16  +•
             H	i	i	1	i
         0.00       0.20      0.40       0.60       0.30   .   1.0
                            Cumulative- Frequency
 FIGURE 3.  CUMULATIVE FREQUENCY  DISTRIBUTION  OF SPECIES
            SCREENING LEVEL  CONCENTRATIONS  (SSLCs)  FOR TOTAL
            POLYCHLORINATEO  BIPHENYLS  IN  FRESHWATER SEDIMENTS.
            SSLC VALUES ARE  IN -jJG  PCB/G  SEDIMENT ORGANIC
            CARBON.

-------
                               49.
o
o
o>    0.32  r
                                   *  *  *  *  -k   -k
                             *  *
tr     G.I o  +
a
_i
QJ
a
     0 . 0 3  +
             +	+	-+	+	-f	+
          0.00       0.20      0.40      0.SO      0.80      i.0 Q
                            Cumulative Frequency
 FIGURE  4.   CUMULATIVE  FREQUENCY DISTRIBUTION OF SPECIES
             SCREENING  LEVEL CONCENTRATIONS (SSLCs) FOR
             DIELDRIN  IN FRESHWATER SEDIMENTS. SSLC VALUES ARE
             IN-jjG  DIELDRIN/G SEDIMENT ORGANIC CARBON.

-------
                            50.
o>
3

ui
z
<
cc
o
1
       +
                                            *
  0.25+
   +
0.00
	+	+	.	+	
 0.20       0.40       0.60

        Cumulative- Frequency
                                                    4-
                                                  0 . SO
                                                         1 . 0 0
FIGURE 5.  CUMULATIVE FREQUENCY DISTRIBUTION OF  SPECIES
           SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR
           CHLORDANE IN FRESHWATER SEDIMENTS.  SSLC  VALUES
           ARE IN-JG CHLORDANE/G SEDIMENT  ORGANIC  CARBON.

-------
                               51.
O
o
       6.0 r
           -                                                    -if
O>

       i.o +
UJ
9
x
o
Q_     0 . 1 6 -f
LU
o:
O
           -
yj
      0.03 +         *
             + --------- + --------- + --------- -u --------- + --------- +
          0.00      0.20      0.40      0.60       0 . SO       1 . 0 0
                            Cumulative Frequency
    FIGURE 6.  CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
               SCREENING LEVEL CONCENTRATIONS  (SSLCs))  FOR
               HEPTACHLOR EPOXIDE  IN  FRESHWATER  SEDIMENTS.
               SSLC VALUES ARE IN>lG  HEPTACHLOR  EPOXIDE/G
               SEDIMENT ORGANIC CARBON.

-------
                              52.
                                                   *  *  *  *
         )
   1000  +
                                    *  *  *  *
o
o
I—
o>
O>
    316
a
a
                      *  *  *
    100
          +-
       0.00
   	+.
    0.20
0.40      0.60      0.80

Cumulative Frequency
1.00
   FIGURE  7.
CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR  DDT
IN SALTWATER SEDIMENTS. SSLC  VALUES ARE  IN-)JG
   DDT/G SEDIMENT ORGANIC CARBONc

-------
                              53.
                                                           **
     39 +
                                  *****
o
o
O)
o>
CD
U
Q.
     15
                                              **
                              **
                   ****2***
                **
                         ******
                       **
                  ****
             *****
           **
       0.00
   0.20
	+	H	+.
 0.40       0.60       0.80

 Cumulative Frequency
1.00
   FIGURE 8.
CUMULATIVE FREQUENCY DISTRIBUTION OF  SPECIES
SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR
TOTAL POLYCHLORINATED BIPHENYLS  IN SALTWATER
SEDIMENTS. SSLC VALUES ARE  IN ->JG PCB/G  SEDIMENT
ORGANIC CARBON.

-------
                               54.
           -                                               * * *

      55   +


Q          —                              *-*.*<* *  * * ' * *•*

O)

?    48   +                        * * *


ui


3          I
<     42   +         *****

H                  *
I                *
Q.

Z

      36   +   *


             +	H	+	+	+	+

          0.00      0.20       0.40      0.60      0.80      1.00
                            Cumulative Frequency
 FIGURE 9.  CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
            SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR
            NAPHTHALENE  IN SALTWATER  SEDIMENTS. SSLC  VALUES
            ARE INpG  NAPHTHALENE/G  SEDIMENT  ORGANIC  CARBON

-------
                               55.
                                                       * * * *
o
o
o>
Ul

LU
CC
111
X
Q.
63 +
                                   *  * * *
      44  +
                     * * * *
             * * * *
               *  *
      31
22 +   *

  0.00      0.20      0.40      0.60      0.80

                      Cumulative Frequency
                                                          	+
                                                          1.00
  FIGURE  10,
       CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
       SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR
       PHENANTHRENE  IN SALTWATER  SEDIMENTS.  SSLC
       VALUES ARE IN njG PHENANTHRENE/G  SEDIMENT  ORGANIC
       CARBON.

-------
                               56.
o
o
H-
O>
Ul

111
cr
o:
o
D
-J
U_
158 +






100 ••
                                                            * *
      63
 39
                *******
    ** * *i *•» *- *
                       ** *
            * *
           -t-

        0.00
             	+-

             0.20
0.40
0.60
0.80
1.00
                            Cumulative, Frequency
 FIGURE 11
        CUMULATIVE FREQUENCY DISTRIBUTION  OF  SPECIES
        SCREENING  LEVEL CONCENTRATIONS  (SSLCs)  FOR
        FLUORANTHENE IN SALTWATER SEDIMENTS.  SSLC  VALUES
        ARE  IN-jjG   FLUORANTHENE/G SEDIMENT ORGANIC  CARBON

-------
                               57.
          _                                           *****

o    50   +
O         -                              ******
I-
o>        -
"^        _                 ******

3.         -           *  *  *

     40   +

uf
z
LL)
O         _      *   *
<

     32   +
M    25   +
Z              *
111
CD
         0.00       0.20       0.40       0.60      0..80      1.00


                           Cumulative Frequency
    FIGURE  12.  CUMULATIVE  FREQUENCY DISTRIBUTION OF SPECIES
                SCREENING  LEVEL  CONCENTRATIONS (SSLCs) FOR
                BENZ(A)ANTHRACENE IN SALTWATER SEDIMENTS.
                SSLC  VALUES ARE  IN >)G BENZ(A)ANTHRACENE/G
                SEDIMENT  ORGANIC CARBON.

-------
                               58.
                                           ***********
                                     * * *
     89
                               *  * *
                      *****
o

o>    63. 4-
               *..
LU

LU
tr
     44
     31 H-
          +
       0.00
                  0.20
	+.
 0.40
	+.
 0.60
	+.
 0.80
	+
 1.00
                           Cumulative Frequency
   FIGURE 13. CUMULATIVE  FREQUENCY  DISTRIBUTION OF SPECIES
              SCREENING LEVEL  CONCENTRATIONS (SSLCs) FOR
              PYRENE  IN SALTWATER  SEDIMENTS. SSLC VALUES ARE
              IN-jJG, PYR.ENE/6  SEDIMENT ORGANIC CARBON.

-------
                              59.
      80   +
           _                                *****
o          -                        *  *  *  *
P     63+             *****
o>         _           *
o>         _        *
LU
Z
CO

cr
      50   +
      40

      35
          0.00      0.20      0.40      0.60       0.80       1.00

                            Cumulative Frequency
  FIGURE  14.  CUMULATIVE FREQUENCY DISTRIBUTION OF SPECIES
             SCREENING LEVEL CONCENTRATIONS (SSLCs) FOR
             CHRYSENE IN SALTWATER SEDIMENTS. SSLC VALUES ARE
             IN-JJG CHRYSENE/G SEDIMENT ORGANIC CARBON.

-------
                               60.
      137   -
8
h-
o>
uj     79    +

HI
tr
>-                                                             *

i          -                                             *   *
<     58    +
"~*          _                           ********
o
f^J          _            *******

z          _        * *
LU
CQ

      40    +   * *
          0.00      0.20      0.40      0.60       0.80       1.00


                           Cumulative Frequency
    FIGURE  15.  CUMULATIVE FREQUENCY DISTRIBUTION OF  SPECIES

                SCREENING LEVEL CONCENTRATIONS  (SSLCs)  FOR

                BENZO(A)PYRENE IN SALTWATER SEDIMENTS.  SSLC

                VALUES  ARE. IN -JJG BENZO (A )PYRENE/G SED IMENT

                ORGANIC CARBON.

-------
                            APPENDIX
Cumulative Frequency Distribution Plots Used to Calculate Species
Screening Level Concentrations for Contaminants in Freshwater and
Saltwater  Sediments.  Contaminant Concentrations (Vertical Axis)
are Given in ug Contaminant/g Sediment Organic Carbon.

-------
APPENDIX. Part I. Species Screening Level Concentration Plots for
          Contaminants in Freshwater Sediments.

-------
      CUMULATIVE FREQUENCY  OF HOKMALIZED *DDT!  (DG/G  ORGAHIC CARBOM)
                       GENUS=ASELLUS   SPP=INTERMEDIOS
            PLOT OF  DDT*CUMFREQ
            PLOT OF  SSLC*CUBFREQ
                                     SYMBOL USED  IS  X
                                     SYMBOL USED  IS  *
  DDT |
100.0 +
 10.0
  1.0
  0.1
                                      XX  XX   X   X
  0.0 *
      I
                                                              «  « X  X
                                                              X  X
                                                      X  X
.—+-.
 c.o
.- + _.
 0.2
                                  o.u
._ +_.
 0.6
                                                             0.8
1 .0
                                     CUKFREQ
!iOTE:
          16 CBS  HIDDEN

-------
      CUMULATIVE FREQUENCY  OF  NORMALIZED *DDT!  (UG/G ORGANIC  CARBON)
                      GEHUS=CYRNELLUS   SPP=FRATERNUS
            PLOT OF DDT*CUMFREQ
            PLOT OF SSLC*CUMFREQ
                           SYMBOL USED IS X
                           SYMBOL USED IS *
  COT |
100.0 +
 10.0
  1.0
  0.1
  0.0
       0.0
                                                                        X  X
                                                                   X   X*  *
                                                XX. X
                                                     X  X
          0.2
0.4          0.6

   CURF'REQ
0.8
• -•¥ —

1 .0
NOTE:
26 CBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF NORMALIZED *DDT!  (UG/G ORGANIC  CARBON)
                       GENUS=GAKMARUS   SPP=FASCIATUS
  DDT
100.0
 10.0
  1.0
  Q.l *
            PLOT OF  DDT*CU«FREQ
            PLOT OF  SSLC*CUKFREC
                          SYMBOL USED IS X
                          SYMBOL USED IS *
                                                   X XX
                                                            XXX
                                                       X  XX
                                                     XX
                                                   XX
                                               XX X
                                       XXX XXXX
                            XXXXXX XXXX
            XXX
                  X  XX
              XXXX
           X X
  0.0 +   X
      I
       0.0
         0.2
O.U          0.6

   CUMFREQ
0.8
1 .0
NO'TE:
6 OBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF  NORMALIZED fZDDT!  (UG/G  ORGANIC C&RBON)
                         GENUS=HYALELLA   SPP=AZTECA
  DDT
1.00.0
 10.0
  1 .0 +
  0.1
  0.0
            PLOT OF  DDT*CUKFREQ
            PLOT OF  SSLC*CU«FREQ
                           SYMBOL USED IS X
                           SYMBOL USED IS *
                                               X X  XX  X  X  X     XXX
                               XXX
                                      X X
       0.0
          0.2
O.U          0.6

   CUWFREQ,
C.8
1 .0
NOTE:
31 OBS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORMALIZED  ZDDT!  (UG/G ORGANIC CARBON)
                       GENUS=HYDROPSYCH    SPP=FRISONI
  DDT  |
100.0 «•
 10.0
  1.0
  "0.1
  0.0
             PLOT  OF  DDT*CUKFREQ
             PLOT  OF  SSLC*CUKFREQ
                           SYMBOL USED IS  X
                           SYMBOL USED IS  *
                                                                     X  XX
                                                         X X X XX
                                                  XXX
       Q.O
          0.2
O.U          0.6

   CUMFREQ
0.8
1.0
NC'TE:
38 CBS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORMALIZED  *DDT! (UG/G ORGANIC  CARBON)
                        3ENUS=HYDROPSYCH    SPP=ORRJS,
             PLOT  OF  DDT*CUKFREC
             PLOT  OF  SSLC*CUMFREQ
                           SYMBOL  USED  IS X
                           SYMBOL  USED  IS *
  DDT |
 .ao.o *
 TO.O *
  1 .0 «•
  0.1 *
  0.0 *
      I
       0.0
          0.2
                                                      x x x  x  x  x
                                      x  x: x.
                                          xxx
.->-,
 o.u
. _+ _.

0.6
0.6
1 .0
                                     CU.1FREQ
NOTE:
26 DBS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORMALIZED «DDT!  (UG/G ORGANIC CARBON)
                       GENUS=LIMNODRILUS   SPP=CERVIX
            PLOT  OF  DDT*CURFREQ
            PLOT  OF  SSLC*CUKFREg
  DDT
TCO.O
 10.0 *
  1 .0 +
  "0.1 *
                   **-   **»
                      X   X
X  X
  0.0
                          SYMBOL USED IS X
                          SYKfaOL USED IS «
                                XXX
                                              X   X
                                                                        *   *
NOTE:
0.0          0.2           O.U          0.6

                              CUttFREQ

    1 OBS HAD HISSING  VALUES Ch WERE OUT OF  RANGE
                                                             0.6           1.0
                                                     2 OBS HIDDEN

-------
       CUHULAT1VE FREQUENCY OF  NORHALIZED  eDDT!  (UG/G ORGANIC CARBOH)
                    GENU5=LIKNODRILUS    SPP=CLAPAREDEIANUS
  DDT  |
100.0  *
 1 0.0
  1 .0  *
  0.1  *
  u.O  •*•
             PLOT OF DDT^CUKFREQ
             PLOT OF SSLC-CUMFREQ
            .*.   *•»  **•  .*.  **•   •*•  •*.
            it*   ^r  f  •*•  **   *f  ~f
                               X'   X
                     XXX
X  X  X
                            SYMBOL  USED  IS  X
                            SYMBOL  USED  IS  *
                                                                  X  X
                                                               XV   -V  Jt.
                                                               X   •«•  •*•
                                                           X   X   X.
                                                  XXX
                                        XXX
        0.0
          0.2
O.U-           0.6

    CUflFRt.Q
o.t
1 .0
!* OI £ ;
U ObS  H1DD.EN

-------
      CUMULATIVE  FREQUENCY OF NORKAL1ZED eDDT!  (UG/G ORGANIC CARBON)
                    GENUS=LIhNODRILUS   SPP=HOFFHEISTSHI
             PLOT  OF  DDT*CUMFRE£
             PLOT  OF  SSLC*CU«FR£Q
                          SfflBOL USED IS X
                          SYttBOL USED IS *
  DDT  |
100.0 +
 10.0
  1 .0 +
  '0.1
                                ** ***** *** **  *****  ***XX* ***
                                                        XX
                                                     X  X
                                             XX  XXXX
                                           X
                                                 XXX  XX
                                            XX  XX
                                  XXXX
                       XX  XXXX X X
     XX XXX
          X XX
  0.0 *
• — •*• —
1 .0
       0.0
         0.2
o.u
0.6
0.6
NCTTE:
3 DBS HAD KISSING  VALUES  OR WERE OUT OF RANGE
                             1U OBS HIDDEN

-------
      CUMULATIVE FREQUENCY OF NORMALIZED  «DDT!  (UG/G ORGANIC  CARBON)
                     GENUS=LIttNODRILUS   SPP=UDEKEHIANUS
  DDT
"00.0
 10.0
  1.0 +-
  C.I  *
  0.0
            PLOT OF  DDT*CUMFREQ
            PLOT OF  SSLC*CUMFR£w
                      XXX
                              SYMBOL  USED IS X
                              SYMBOL  USED IS *
                                      .V   .**
                                       XX    XX
                                                            .••   *.   •**  v
                                                            •«•   V   f  X
                                                            X   X
tGTE:
0.0           0.2           O.U           0.6

                              CUHFREQ

    1 ObS HAD  ^5ISSI^G VALUES OR  WERE CUT OF RANGE
                                                              0.b           1.0
7 OBS HIDDEN

-------
       CUMULATIVE frREuUENCY OF SOhKALISED *DDT!  (UG/G  ORGANIC  CARBON)
                          GENUS=PELOSCOLEX    SPP=FEROX
             PLOT  OF DDT*CUKFREC
             PLOT  OF SSLC*CUKFREQ
                          SYKBOL USED  IS X
                          SYrtbOL USED  IS *
  DDT
100.0
 10.0
                                     «« ^T^^ •VST  IT •*•
                                                                              -•*- •*•
                                                                              *^' *t^
                               XX XX  XX
                   X  XX XX   X
  O.T       X XX  X
           X
  O.Q
                                                                    XX  XX
                                                                XX
                                                          XX  XX
                                                 X XX
        0.0
        0.2
o.u
0.6
0.8
1 .0
                                        CUMFRE2
NCTTE:
OBS HAD  KISSING  VALUES  OR  WERE OUT  OF RA!JGE
                               13 CBS  HIDDEN

-------
     CUMULATIVE FREQUENCY OF NORMALIZED *DDT!  (UG/G  ORGANIC CARBON)
                    GENUS=PELOSCOLEX   SPP=KULTISETOSUS
  DDT  |
ICO.O  +
 1 0.0  *
  1 .0
0.1  *
  0.0
            PLOT  OF DDT*CUMFREQ
            PLOT  OF SSLC*CUMFHEQ
                                   SYMBOL USED IS X
                                   SYMBOL USED IS *
                                            £ *
                                                       XXX
                                              X  X  X  X
                                 XXX
                           XXX
                  X   X  X X
            XXX
     0.0          0.2           O.U           0.6.

                                   CUMFRE;

         3 OfcS HAD MISSING  VALUES  OR  WERE OUT OF- RANGE
                                                            0.6          1.0
                                                               1  OOS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF HOfiKALIZED  «DDT!  (UG/G ORGANIC CAfiBON)
                                   EURA    SPP=MALLOCHI
             PLOT  CF  DDT*CUMFKEQ
             PLOT  OF  SSLC*CUMFREQ
                           SYMBOL USED  IS  X
                           SYMBOL USED  IS  *
  DDT |
 00.0 •»
 10.0
   .
  0.1 +
  u.o
                                                           *  *   X
                                                           X  X
                                                          XX*
._ + _.
 0.4
       0.0
          0.2
0.6
C.8
1 .0
                                     CUHFHE;
NCTTE:
27 GbS HIDDEN

-------
      CUMULATIVE FREQUENCY OF NORKALIZED eDDT!  (UG/G ORGANIC  CARBON)
                     GENUS=PCTAMOTHR1X    SPP=VEJDOVSKYI
             PLOT OF  DDT*CU«FREQ
             PLOT OF  SSLC*CUKFPEQ
                                     SYMBOL USED  IS  X
                                     SYrttOL USED  IS  *
  DDT
t'GO.O
 10.0
  1 .0 *
0.1 +
           X   X
  0.0
                         X. X   X
                                                         •*••  »•• «W   \f  U"   •'•'
                                                         -^  •*• tc   XX   "^
                                                            x x
                                                         X
                                                   X  X
                                     X   XX
                     —.•*> —
                     0.2
._+_.
 o.u
._ + _.
 0.6
• - *•-
1 .0
0.0
                                                             C.o
                                       CU.1FRE3
.NOTE:
         16  CBS HIDDEN

-------
      CUMULATIVE FREQUENCY OF  NORMALIZED «DDT!  (UG/G ORGANIC CARBON)
                      GENOS=STENACRON   SPP=INTERPUNCT
             PLOT OF DDT*CURFREQ
             PLOT OF SSLC--CUMFREQ
                           SYMBOL  USED IS X
                           SYMBOL  USED IS *
  DDT
100.0
 10.0
  1.0
  0.1 *
  0.0
                                                                     XXXXX
                                              XX  X  XXX  X  XX XXXX
                              XXX   X
._ + _.
 0.6
— 4.-.
 0.8
• -•f -
1 .0
       0.0
           0.2
O.i*
                                      CU.1FREQ
NCfTE:
U8 DBS KIDDEh

-------
      CUMULATIVE  FREQUENCY OF NORMALI2ED  »DDT !  (UG/G ORGANIC  CARBON)
                        G£NUS=STENONEHA    SPP=EXIQUUM
            PLOT  OF  DDT*CURFREQ
            PLOT  OF  SSLC-CUSFREU
                           SYKEOL USED  IS  X
                           SYHEOL USED  IS  *
  DDT
 00.0
 10.0
  1 .0 +
  0.1 «•
  0.0
                                                       X    X
                                                                  X   X   X  *
       . — 4.-.
       0.0
          0.2
O.U           0.6

   CUHFHEQ
mm* 4- . .

 0 ..6
1 .0
NOTE:
25 OBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF NORMALIZED *DDT!  (UG/G ORGANIC  CARBON)
                       GENUS=STENONEHA   SPP=INTEGRUH
            PLOT OF  DDT*CUMFR£Q
            PLOT OF  SSLC*CUHFREQ
                           SYMBOL USED IS X
                           SYMBOL USED IS *
  DDT |
100.0 *
 10.0
  1 .0
  •o.i
                              ** * ** ** ** ** *******  XX  X*  *
                                            XX X XX XX XX
                                       X XX

                                    X X
  0.0
       0.0
          0.2
0.4          0.6

   CUBFRE3
0.8
1 .0
NOTE:
Ul  CBS KICDEfi

-------
      CUMULATIVE  FREQUENCY OF NORHALIZED «DDT!  (UG/G  ORGANIC CARBON)
                      GEK05=STENONEHA    SPP=PULCHELLUM
  DDT
 CG.O
 10.0
   .0 «•
  o.r
  u.o
             PLOT  OF DDT*CUBFHEQ
             PLOT  OF SSLC*CU«FREQ
                           SYBBOL  USED IS X
                           SYMBOL  USED IS *
                               *'*«*  **X  XXX
                                       X!  XX.
                                                                       XV   -•-  •••
                                                                       X   f  f
       0.0
          0.2
0 . «•-           0.6

   CUMFREQ,
O.ti
1 .0
NO.TS:
32 CBS h I L- D E H •

-------
      CUMULATIVE  FREQUENCY OF NORMALISED  CDDT!  (UG/G ORGANIC CAB80N)
                      G£NU£=STENONEnA    SPP=TERHINATUM
             PLOT  OF  DDT*CUf1FREQ
             PLOT  OF  SSLC^CUMFKEQ
                           SYMBOL USED  IS  X
                           SYMBOL USED  IS  *
  DDT
100.0
 10.0
  1 .0
  0.1
  0.0
                                                                        X  X *
                                                       XX X X X X  X  X
                                         X  X
                                             XXX
       0.0
          0.2
0.<4           0.6

   CUMFREQ
0.8
1 .0
NOTE;
35 OBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF  NORMALIZED £DDT!  (UG/G  ORGANIC CARBON)
                        GENUS=TUBIFEX   SPP=TOBIFEX
  DDT |
 0.0.0 *
 1,0.0 *
  1 .0
  0.1
  0.0 +
      I
            PLOT OF DDT*CUHFREU
            PLOT CF SSLC*CUKFHEQ
                              SYMBOL USED  IS  X
                              SYMBOL USED  IS  *
                                         * ** ***
                                                               X X
                                                ** ****** *XXXX* ****
                                                        X X
                                                   XXXXX
                                                 X
                                                X
                                                X  XXX
                                         X XX XX
                            XXXXXX  X
                XXX XXX XX
    X XXX
«OTE:
0.0          0.2           0.4          0.6

                              CUMFREQ

    1 CBS HAD MISSING  VALUES OR WERE OUT OF  RANGE
                                                            -_4 _.
                                                             0.8
           1 .0
20 DBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF NOKBALIZED *DDT!  (UG/G ORGANIC  CARBON)
                         GENUS=VALVATA   SPP=SINCERA
            PLOT OF  DDT*CUHFREQ
            PLOT OF  SSLC^CUMFREQ
                          SYMBOL  USED  IS  X
                          SYMBOL  USED  IS  *
  DDT |
100.0 +
 10.0
  1 .0 *
  '0.1 *
                                                                 XX*
                                                 XXX
             XX
  0.0
       0.0
          0.2
0.4
0.6
0.8
1 .0
I.OTE:
10  DBS  HIDDEN

-------
      CUMULATIVE FREQUENCY  OF  NORHALIZED CPCB!  (UG/G ORGANIC  CARBON)
                      GENUS=ASELLUS   SPP=INTERMEDIUS
PLOT CF PC6*CUKFREQ
PLOT OF SSLCSCUKFHEQ
                                     SYMBOL USED IS X
                                     SY.1BOL USED IS *
  PCB |
 00.0 +
 10.0
  r.o *
  0.1
                                                              X   X
                                                        X  X
                                    XXX
                                   XXX
  0.0 *
      I
       0.0
        0.2
O.U          0.6

   CUMFREQ
0.8
1 .0
NOTE:     16 CBS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORRALIZED ePCB!  (UG/G  ORGANIC CARBON)
                       GENUS=CYRNELLUS    SPP=FRATERNUS
             PLOT  OF  PCB^CUKFREQ
             PLOT  OF  SSLC#CUMFREC
                           SYMBOL  USED IS X
                           SYMBOL  USED IS *
  PCB
100.0
 1:0.0 *
  T.O *
  O.T *
                                                          X  X  X  X,
                                          X X
  0..0 *
      I
       0.0
0.-2_
                        o.u
._+_.
 o.e.
0.6
1 .0
                                      CUMFRLQ
NOTE:
30 OBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF NORMALIZED ZPCB!  (UG/G ORGANIC  CARBON)
                       GENUS=GAHHARUS   SPP=FASCIATUS
  PCB |
100.0 «•
 10.0
1 .0 *
  0.1
  0.0
          PLOT OF PCB*CUttFREQ
          PLOT OF SSLC«CU«FREQ
                                     5YHBOL USED IS  X
                                     SYMBOL USED IS  *
                                                          XXXXXX  X
                                                   xxxxx
                                          XXXXX X
                                       XX
                                   XXX
                     XXXXXX  XXXXXX
              xxxxx
           XX
       0.0
                  0.2
0.4          0.6

   CUKFREQ
0.6
1 .0
NOTS:
         U QBS HIDDEN

-------
      CUMULATIVE FREQUENCY  OF  NORMALIZED «PCB!  (UG/G ORGANIC CARSON)
                         GENU3=HYALELLA   SPP=AZTECA
             PLOT OF PCB*CUMFREQ
             PLOT OF SSLC^CUBFREQ
                            SYMBOL USED IS  X
                            SYMBOL USED IS  *
  PCB
i;oo.o
 10.0
  1.0
  0..1 *
                                                                         X
                                                                        x* *
                                                                X  X
                                                             X  X
                                                        X  X
                                   x: x- x xxx
                                        X  XX
                     X.X
  0.0
. — 4 -•
0.0
-"•» +•» .

 0.2
._ + _.
 o.u
._ + _.

 0.6
                                                               0.8
                                                                  1 .0
                                      CUKFREQ
NOTE.:
25 OBS HIDDEN

-------
      CUHULATIVE  FREQUENCY OF NORMALIZED  ftPCB!  (UG/G ORGANIC CARBON)
                       GENUS=HYDROPSYCH    SPP=FRISONI
             PLOT  OF  PCB*CDBFREQ
             PLOT  OF  SSLC*CUMFREQ
                           SYMBOL USED  IS  X
                           SYMBOL USED  IS  *
  PCB |
100.0 +
 1 0.0
  7.0 *
  t).l *
                                                             XXX
                                                                     *  X*
                                                                     X
                                                           X X XX
                                             X  X  XX X X XX
  0.0 *
      I
       0.0
          0.2
._ + _.
 0.6
._ + _.
 0.6
1 .0
                                     CUMFREQ
NO-TE:
35 CBS HIDDEN

-------
      CURULATIVE FREQUENCY OF  NORMALIZED «PC8!  (UG/G  ORGANIC CARBON)
                       GENUS=HYDROFSYCH   SPP-ORHIS
  PC 3
 00.0
 10.0
  1 .0  •»
  0.1
  0.0
            PLOT OF PC6*CUBFREQ
            PLOT OF SSLCSCUF.FREQ
                           SYMBOL USED IS  X
                           SYMBOL USED IS  *
                                                               X  X
                                                              X  XX X
                                           X X X X X, X  X  X  X
                            X XX
       0.0
          0.2
0.<4           C.6

   CU«FRE3
0.8
1 .0
,OTS:
27 OBS KiDDEH

-------
     CUMULATIVE  FREQUENCY OF NORMALIZED  (ZPCB!  (UG/G ORGANIC CARBON)
                      GENUS=LIHNODRILUS    SPP=CERVIX
           PLOT OF  PCB*CUMFREQ
           PLOT OF  SSLC-CUMFHEQ
                              SYMBOL USED  IS  X
                              SYMBOL USED  IS  *
10.0
 1 .0
 0.1
 0.0
                                                X  X
                           X   XXX
                  XXX
0.0           0.2           0.4           0.6

                              CUMFREQ

    2 DBS HAD  MISSING  VALUES OR WERE OUT  OF  RANGE
                                                            ._.». «_«__•-.__ — — 4. _
                                                            G.ti           1.0
                                                                3  OBS  HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORMALIZED CFCB!  (UG/G ORGANIC CARBOH)
                   GENUS=LIKNODRILUS   SPP-CLAPAHEDEIANUS
  PCB  |
100.0 +
 10.0
  T.O-
  0.1
  0.0
             PLOT  OF  PCB*CUKFREQ
             PLOT  OF  SSLC*CUnFREQ
                  SYflBOL USED IS X
                                           XXX
                                X X
                          X  X
X  X
                 X
                                                                   * x  *
                                                                   X
                                                          X  X
NOTE:
       G.O
 0.2
O.B
1.0
                       O.U           0.6

                          CUflFRES

1  CBS HAD MISSING. VALUES  OR WERE OUT OF RANGE       3  OBS HIDDEN

-------
      CUMULATIVE  FREQUENCY OF NORMALIZED (ZPCB!  (UG/G  ORGANIC CARBON)
                    GENUS=LIHNODRILUS   SPP=HOFFHEISTERI
  PC8
i