V-/EPA
                                  United States
                                  Environmental Protection
                                  Agency
                                 Municipal Environmental Research
                                 Laboratory
                                 Cincinnati OH 45268
                                  Research and Development
                                  EPA-600/S2-81-217  Oct. 1981
Project Summary
                                  A  Stress  Function  for
                                  Evaluating  Strategies  for
                                  Water  Quality  Management
                                  Warren U. Brigham and Donald L. Hey
                                   This  investigation  explores the
                                 relationship between biological com-
                                 munities and the physical and chemical
                                 conditions in the aquatic environment.
                                 Seasonal patterns and the duration
                                 and probability of the occurrence of
                                 chemical conditions and physical
                                 events are established by means of
                                 computer modelling. An instantaneous
                                 measure of stress is  calculated by
                                 summing the decimal fractions of the
                                 96-hr lethal concentrations (for blue-
                                 gills) of each of 21  toxicants. These
                                 data are summarized as a quasi-
                                 continuous stress function calculated
                                 over 1 -hr intervals. The stress function
                                 is related to five distinct biological
                                 communities ranging from the most to
                                 the least tolerant of pollution.
                                   Data  from  a test watershed in
                                 northeastern Illinois yielded stress
                                 functions as follows: 0.120 to 783.7
                                 (mean 23.02) from a site with no fish,
                                 0.155 to 98.47 (mean 1.038) from a
                                 site with a carp population, and 0.005
                                 to 0.279 (mean 0.116) from a site
                                 with a bass population.
                                   A hypothetical management plan to
                                 reduce the ammonia component at
                                 the no-fish site was incorporated into
                                 the stress function. This plan limited
                                 effluent ammonia concentrations to
                                 1.5  mg/liter during summer months
                                 and 4.0 mg/liter during the winter,
                                 eliminated combined sewer overflows,
                                 reduced  sediment oxygen demand
                                 levels substantially, and increased
                                 dissolved oxygen levels moderately in
                                 treatment plant effluents. Mean stress
                                 was reduced from 23.02  to 2.12—
                                 more than an order of magnitude. This
                                 level was still significantly higher than
                                 that of the carp site, primarily because
                                 of residual  chlorine in the effluents
                                 from wastewater treatment plants.
                                 These results suggest that if species
                                 other than  carp  are desired in the
                                 fishery, further control strategies
                                 might need  to be implemented.
                                   This Project Summary was devel-
                                 oped by EPA's Municipal Environmen-
                                 tal Research Laboratory, Cincinnati,
                                 OH. to announce key findings of the
                                 research project that is fully docu-
                                 mented in  a separate report of the
                                 same title (see Project Report ordering
                                 information at back).

                                 Introduction
                                   This report introduces the concept of
                                 the  stress  function as a  means of
                                 expressing the interrelationships be-
                                 tween water quality conditions and the
                                 aquatic biota. The study is based partly
                                 on the bluegill toxicity index developed
                                 by Richard E. Sparks and Kenneth S.
                                 Lubinski of the Illinois Natural History
                                 Survey. The toxicity index represents an
                                 instantaneous summation of the con-
                                 centrations of up to 21 toxicants relative
                                 to their acute lethal effects on the
                                 bluegill, Lepomis macrochirus. The
                                 stress function is. a quasi-continuous
                                 time series obtained by joining toxicity
                                 index calculations to the output of the
                                 Hydrocomp model. The stress function

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is constructed from the given informa-
tion regarding the physical and chemical
conditions of the stream (i.e., point
sources, nonpoint sources, and instream
physical  and chemical interactions).
Thus each  function  represents  the
signature of the  stream  reach  and
reflects the stress that is endured by the
resident aquatic community.

Hydrocomp Nonpoint Source
Model
  The Hydrocomp model was developed
as a tool for the evaluation and analysis
of nonpoint pollution  problems.  The
model continuously simulates hydrologic
processes (including snow accumula-
tion and  melt), erosion processes,  and
pollutant accumulation, generation,
and  transport from the land surface.
Sediment and sediment-like materials
are used as the  basic indicators of
nonpoint pollutants.  These erosion
processes are simulated separately on
both pervious and impervious  areas.
Pollutant  loadings are determined by
multiplying the resulting sediment
discharge by potency factors represent-
ing the concentration of the pollutant in
the sediment. The model simulates the
processes that determine nonpoint
pollution  and is applicable to  urban,
agricultural,  forested, and construction
areas.
  The Hydrocomp model is composed of
three major subroutines: MAIN, LANDS,
and QUAL. MAIN,  the master or execu-
tive subroutine, reads model parameters
and meteorologic  data, initializes vari-
ables,  monitors the passage of time,
calls the LANDS and QUALsubroutines,
and prints output  summaries. LANDS,
based  on the  Stanford  Watershed
Model, simulates  the hydrologic re-
sponse of the watershed  and  the
process of snow accumulation and melt.
The  model transforms the input data
into  streamflow  using a moisture-
accounting procedure.  The  QUAL sub-
routine simulates  erosion processes,
sediment accumulation, pollutant
transport from the land surfaces,  and
instream  physical, chemical, and  bio-
logical processes. The  sources of
constituents represented in the  model
are pervious surface washoff, impervious
surface washoff,  groundwater, point
sources such as municipal and industrial
wastewater  treatment plants,  and
bottom sediments.

Toxicity Index
  The toxicity index model was  devel-
oped by  Sparks and his associates to
demonstrate how existing water quality
monitoring data  could be used to
evaluate the suitability of a lake or
stream for fish life, and if the water was
unsuitable, to determine which factors
were responsible. The bluegill sunfish
was used as the reference organism
because it is a panf ish that is common in
North America and because its sensitivity
to many chemicals has been determined
in the laboratory. The toxicity units were
therefore  called bluegill toxicity  units
(BGTU). For a single component, one
bluegill  toxicity  unit (1.0 BGTU) repre-
sents the lethal pollutant dose—or that
level  of contaminant  that  would  kill
about 50% of the fish in 4 days. A level
greater than 1.0 BGTU would kill  most
fish  in a shorter period of time, and a
level  below 1.0 BGTU  is considered
sublethal (although a value close to 1.0
might kill a few sensitive  fish over a
period of days).

  The water quality parameters  were
divided  into three categories: limiting
factors, modifying factors, and toxicants.
The  limiting factors are temperature,
pH, and dissolved oxygen, which  must
be within a certain range to permit fish
to survive. The  model includes both a
wide range (within which bluegills can
survive for several days) and a narrower
range (within  which  bluegills can
survive indefinitely as well as carry on
normal functions such as growth and
reproduction). Temperature, pH, and
dissolved  oxygen also are modifying
factors in that they modify the toxicity of
some chemicals by changing the chem-
ical  equilibria  in  the  water  or the
sensitivity of the fish. Calcium is also a
modifying factor because the greater its
concentration in water, the less sensitive
the bluegills and other fish are to certain
toxicants such as heavy metals. Twenty
toxicants have  been tested for  toxic
effects on bluegills and  were used in
computing toxicity indices.

  The joint toxicity of all the chemicals
present at a particular  water  quality
sampling station at a particular sampling
time  was  estimated  by adding the
toxicities contributed by  the  individual
chemicals.  This  estimate of the  joint
toxicity  is the toxicity index, and the
toxicity  contributed  by  any  particular
chemical is defined as  a  component
toxicity. The water quality  parameters
considered are: ammonia, arsenic,
boron, cadmium, chlorine, chromium,
copper, cyanide, dissolved oxygen,
fluoride, hardness, pH, iron, LAS,  lead,
manganese, mercury, nickel,  nitrate
and nitrite, phenol, silver, temperature,!
and zinc.

Test Watershed
  The  DuPage River  basin  in  north-
eastern Illinois was selected as the test
watershed to develop the concept of the
stress  function. The drainage system
contained 30 Illinois EPA water quality
sites whose records served as sources
of water  quality data. All  available
information regarding the fish  of the
basin is summarized in Table 1  under
the three  headings (bass, carp, and no
fish) corresponding to communities
now characteristic of that reach of the
river.

Computer Simulations
  To perform simulations  of  water
quality and to generate time  series
stress functions, one representative site
at each of the three existing habitat
types was selected. Computer simula-
tion of the stress function was performed
for a 3-year period for the three study
sites. The following were included as
component toxicities in the calculation
of the total stress at each site because
these items were known to be present in
significant concentrations in at least
one  of the sites: ammonia, cyanide,
lead, zinc, copper, LAS,  and residual
chlorine.
  Stress  functions  for each  site  and
component toxicities are given in Table
2. Inspection of the mean total stress at
each site reveals that the levels are
quite high at the no-fish site, significantly
lower at the bass site, and intermediate
at the carp site. These results are in line
with initial predictions.
  The extremely high mean stress value
at the  no-fish site is  due to relatively
high levels of ammonia,  LAS,  and
residual chlorine, combined  with very
low dissolved oxygen concentrations—
particularly during the summer months.
Municipal wastewater treatment plants
located upstream of the no-fish site are
the primary cause  of the  significant
levels  of  ammonia, residual  chlorine,
and  LAS  toxicity. Because of  lower
ammonia levels and improved dissolved
oxygen concentrations, the mean am-
monia  stress contribution at  the carp
site was substantially lower than at the
no-fish site. The bass site typically had
such higher dissolved oxygen and lower
ammonia concentrations in the summer
months,  so its ammonia component
was very  much lower than that of the
no-fish site. The bass site also received
a smaller contribution from  the treat-

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Table 1.
Fish Known or Likely to Occur at Three Sites in the DuPage River Basin
Before 1908. Since 1950. and in 1976
                            Bass
                                  Carp
No Fish
Species
Grass pickerel
Northern pike
Stoneroller
Goldfish
Carp
Hornyhead chub
Golden shiner
Emerald shiner
Striped shiner
Bigmouth shiner
Blackchin shiner
Blacknose shiner
Spotfin shiner
Sand shiner
Redfin shiner
Blunt nose minnow
Fathead minnow
Creek chub
White sucker
Creek chubsucker
Northern hog sucker
Golden redhorse
Black bullhead
Yellow bullhead
Stonecat
Tadpole madtom
Blackstripe topminnow
Starhead topminnow
Brook silverside
Rock bass
Green sunfish
Pumpkinseed
Bluegill
Smallmouth bass
Black crappie
Mud darter
Rainbow darter
Least darter
Johnny darter
Banded darter
Slenderhead darter
Total species
1908
X
X
X
-
-
X
-
X
X
-
X
X
-
-
X
X
-
X
X
X
X
X
X
X
-
X
X
X
X
X
-
-
-
X
X
X
X
X
X
X
X
31
1950
.
-
X
-
X
X
X
X
X
X
-
-
X
X
X
X
X
X
X
-
-
-
X
-
X
-
-
-
-
X
X
X
X
-
X
-
-
-
-
.
-
21
1976
-
-
X
-
X
X
X
X
X
X
-
-
X
X
-
X
X
X
X
-
-
-
X
-
-
-
-
-
-
-
X
-
X
-
X
-
-
-
-
-
-
17
1908
X
X
X
-
-
X
-
X
X
-
X
X
-
-
X
X
-
X
-
X
X
X
X
X
-
X
X
X
X
X
-
-
-
X
-
X
X
X
X
X
X
28
1950
.
-
X
X
X
-
-
-
-
X
-
-
X
X
X
X
X
-
.
-
-
-
.
-
X
-
-
-
-
X
X
X
X
-
-
-
.
-
-
-
-
14
1976
.
-
-
-
X
-
-
-
-
-
-
-
-
X
.
X
.
X
X
.
-
-
.
.
-
-
-
-
-
.
X
-
-
-
.
-
.
.
.
.
.
6
1908
-
-
X
-
-
X
-
-
X
-
-
X
-
-
-
X
-
X
-
-
-
-
X
X
-
-
X
X
-
.
-
-
-
-
-
.
.
.
X
.
.
12
1950 1976
-
-
-
-
-
-
-
-
-
-
-
-
-
-
.
-
-
-
.
-
-
-
.
-
-
-
-
-
-
.
-
-
-
-
.
-
-
.
.
-
.
0 0
component toxicities showed  that
residual chlorine from the wastewater
treatment  plant effluents was the
principal component of stress (1.935).

  The full  report was submitted  in
f ulfillment of Grant No. R-805614-01-0
by the Illinois  Natural History Survey
under the  sponsorship of the  U.S.
Environmental  Protection Agency.
ment plant, so the residual chlorine and
LAS toxicities were lower as well.
  After results were examined for the
basic stress function, it was tested for
sensitivity to  dissolved oxygen,  hard-
ness, temperature, and pH.  In addition,
a hypothetical management plan to
reduce the ammonia component at the
no-fish  site was  developed and  in-
corporated into the stress function. The
plan involved  several strategies:  (1)
Limit  wastewater  treatment  plant
effluent ammonia concentrations to 1.5
mg/liter during the summer and 4.0
                            mg/liter during the winter, (2) eliminate
                            combined sewer overflows, (3) reduce
                            sediment oxygen demand substantially,
                            and (4) moderately increase dissolved
                            oxygen  concentrations  in wastewater
                            treatment plant effluents. Table 3
                            summarizes the results of this manage-
                            ment test. The overall mean stress was
                            reduced from 23.02  to 2.12  BGTU—
                            more  than  an  order  of magnitude.
                            Ammonia  toxicity, which was the
                            principal target of the management
                            strategy, was reduced by  nearly three
                            orders  of magnitude. Inspection of the

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   Table 2.    Stress Function and Component Toxic/ties at Three Sites in the DuPage
              River Basin (in Bluegill Toxicity Units/
         Item
No-fish site
Carp site
Bass site
Total Stress:
Maximum
Minimum
Mean
Component toxicity:
Ammonia
Cyanide
Lead
Zinc
Copper
LAS
Residual chlorine

783.7
.120
23.024

20.18
.088
.023
.004
.020
.772
1.937

98.47
.155
1.039

.116
.081
.016
.046
.020
.107
.653

0.279
.005
.115

.014
.000
.000
.003
.008
.030
.060
   Table 3.    Impact  of  a  Hypothetical
              Water Quality Management
              Plan on the Stress Function
              at the No-Fish Site (in Blue-
              gill Toxicity Units)
Item
Total stress:
Maximum
Minimum
Mean
Component
toxicity:
Ammonia
Cyanide
Lead
Zinc
Copper
LAS
Residual
chlorine
Unaltered
run

783.7
.120
23.024


20.18
.088
.023
.004
.020
.772
1.937

Altered
run

51.48
.118
2.121


.023
.079
.OOO
.003
.008
.073
1.935

                                             Warren U. Brigham is with the Illinois Natural History Survey, Urbana, IL61801;
                                              and Donald L. Hey is with Donald L. Hey and Associates, Chicago, IL 6O657.
                                             James A. Heidman is the EPA Project Officer (see below).
                                             The complete report,  entitled "A Stress Function for Evaluating Strategies for
                                              Water  Quality Management." (Order No. PB 82-109 828; Cost: $11.00,
                                              subject to change)  will be available only from:
                                                    National Technical Information Service
                                                    5285 Port Royal Road
                                                    Springfield, VA 22161
                                                    Telephone: 703-487-4650
                                             The EPA  Project Officer can be contacted at:
                                                    Municipal Environmental Research Laboratory
                                                    U.S. Environmental Protection Agency
                                                    Cincinnati, OH 45268
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         Information
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