Appendix A to Part 132 - Great Lakes Water Quality Initiative Methodologies for Development of Aquatic Life Criteria and Values
40:24.0.1.1.21.0.16.7.21 : Appendix A
Appendix A to Part 132 - Great Lakes Water Quality Initiative
Methodologies for Development of Aquatic Life Criteria and Values
Methodology for Deriving Aquatic Life Criteria: Tier I
Great Lakes States and Tribes shall adopt provisions consistent
with (as protective as) this appendix.
I. Definitions
A. Material of Concern. When defining the material of
concern the following should be considered:
1. Each separate chemical that does not ionize substantially in
most natural bodies of water should usually be considered a
separate material, except possibly for structurally similar organic
compounds that only exist in large quantities as commercial
mixtures of the various compounds and apparently have similar
biological, chemical, physical, and toxicological properties.
2. For chemicals that ionize substantially in most natural
bodies of water (e.g., some phenols and organic acids, some salts
of phenols and organic acids, and most inorganic salts and
coordination complexes of metals and metalloid), all forms that
would be in chemical equilibrium should usually be considered one
material. Each different oxidation state of a metal and each
different non-ionizable covalently bonded organometallic compound
should usually be considered a separate material.
3. The definition of the material of concern should include an
operational analytical component. Identification of a material
simply as “sodium,” for example, implies “total sodium,” but leaves
room for doubt. If “total” is meant, it must be explicitly stated.
Even “total” has different operational definitions, some of which
do not necessarily measure “all that is there” in all samples.
Thus, it is also necessary to reference or describe the analytical
method that is intended. The selection of the operational
analytical component should take into account the analytical and
environmental chemistry of the material and various practical
considerations, such as labor and equipment requirements, and
whether the method would require measurement in the field or would
allow measurement after samples are transported to a
laboratory.
a. The primary requirements of the operational analytical
component are that it be appropriate for use on samples of
receiving water, that it be compatible with the available toxicity
and bioaccumulation data without making extrapolations that are too
hypothetical, and that it rarely result in underprotection or
overprotection of aquatic organisms and their uses. Toxicity is the
property of a material, or combination of materials, to adversely
affect organisms.
b. Because an ideal analytical measurement will rarely be
available, an appropriate compromise measurement will usually have
to be used. This compromise measurement must fit with the general
approach that if an ambient concentration is lower than the
criterion, unacceptable effects will probably not occur, i.e., the
compromise measure must not err on the side of underprotection when
measurements are made on a surface water. What is an appropriate
measurement in one situation might not be appropriate for another.
For example, because the chemical and physical properties of an
effluent are usually quite different from those of the receiving
water, an analytical method that is appropriate for analyzing an
effluent might not be appropriate for expressing a criterion, and
vice versa. A criterion should be based on an appropriate
analytical measurement, but the criterion is not rendered useless
if an ideal measurement either is not available or is not
feasible.
Note:
The analytical chemistry of the material might have to be taken
into account when defining the material or when judging the
acceptability of some toxicity tests, but a criterion must not be
based on the sensitivity of an analytical method. When aquatic
organisms are more sensitive than routine analytical methods, the
proper solution is to develop better analytical methods.
4. It is now the policy of EPA that the use of dissolved metal
to set and measure compliance with water quality standards is the
recommended approach, because dissolved metal more closely
approximates the bioavailable fraction of metal in the water column
that does total recoverable metal. One reason is that a primary
mechanism for water column toxicity is adsorption at the gill
surface which requires metals to be in the dissolved form. Reasons
for the consideration of total recoverable metals criteria include
risk management considerations not covered by evaluation of water
column toxicity. A risk manager may consider sediments and food
chain effects and may decide to take a conservative approach for
metals, considering that metals are very persistent chemicals. This
approach could include the use of total recoverable metal in water
quality standards. A range of different risk management decisions
can be justified. EPA recommends that State water quality standards
be based on dissolved metal. EPA will also approve a State risk
management decision to adopt standards based on total recoverable
metal, if those standards are otherwise approvable under this
program.
B. Acute Toxicity. Concurrent and delayed adverse
effect(s) that results from an acute exposure and occurs within any
short observation period which begins when the exposure begins, may
extend beyond the exposure period, and usually does not constitute
a substantial portion of the life span of the organism. (Concurrent
toxicity is an adverse effect to an organism that results from, and
occurs during, its exposure to one or more test materials.)
Exposure constitutes contact with a chemical or physical agent.
Acute exposure, however, is exposure of an organism for any short
period which usually does not constitute a substantial portion of
its life span.
C. Chronic Toxicity. Concurrent and delayed adverse
effect(s) that occurs only as a result of a chronic exposure.
Chronic exposure is exposure of an organism for any long period or
for a substantial portion of its life span.
II. Collection of Data
A. Collect all data available on the material concerning
toxicity to aquatic animals and plants.
B. All data that are used should be available in typed, dated,
and signed hard copy (e.g., publication, manuscript, letter,
memorandum, etc.) with enough supporting information to indicate
that acceptable test procedures were used and that the results are
reliable. In some cases, it might be appropriate to obtain written
information from the investigator, if possible. Information that is
not available for distribution shall not be used.
C. Questionable data, whether published or unpublished, must not
be used. For example, data must be rejected if they are from tests
that did not contain a control treatment, tests in which too many
organisms in the control treatment died or showed signs of stress
or disease, and tests in which distilled or deionized water was
used as the dilution water without the addition of appropriate
salts.
D. Data on technical grade materials may be used if appropriate,
but data on formulated mixtures and emulsifiable concentrates of
the material must not be used.
E. For some highly volatile, hydrolyzable, or degradable
materials, it might be appropriate to use only results of
flow-through tests in which the concentrations of test material in
test solutions were measured using acceptable analytical methods. A
flow-through test is a test with aquatic organisms in which test
solutions flow into constant-volume test chambers either
intermittently (e.g., every few minutes) or continuously, with the
excess flowing out.
F. Data must be rejected if obtained using:
1. Brine shrimp, because they usually only occur naturally in
water with salinity greater than 35 g/kg.
2. Species that do not have reproducing wild populations in
North America.
3. Organisms that were previously exposed to substantial
concentrations of the test material or other contaminants.
4. Saltwater species except for use in deriving acute-chronic
ratios. An ACR is a standard measure of the acute toxicity of a
material divided by an appropriate measure of the chronic toxicity
of the same material under comparable conditions.
G. Questionable data, data on formulated mixtures and
emulsifiable concentrates, and data obtained with species
non-resident to North America or previously exposed organisms may
be used to provide auxiliary information but must not be used in
the derivation of criteria.
III. Required Data
A. Certain data should be available to help ensure that each of
the major kinds of possible adverse effects receives adequate
consideration. An adverse effect is a change in an organism that is
harmful to the organism. Exposure means contact with a chemical or
physical agent. Results of acute and chronic toxicity tests with
representative species of aquatic animals are necessary so that
data available for tested species can be considered a useful
indication of the sensitivities of appropriate untested species.
Fewer data concerning toxicity to aquatic plants are usually
available because procedures for conducting tests with plants and
interpreting the results of such tests are not as well
developed.
B. To derive a Great Lakes Tier I criterion for aquatic
organisms and their uses, the following must be available:
1. Results of acceptable acute (or chronic) tests (see section
IV or VI of this appendix) with at least one species of freshwater
animal in at least eight different families such that all of the
following are included:
a. The family Salmonidae in the class Osteichthyes;
b. One other family (preferably a commercially or recreationally
important, warmwater species) in the class Osteichthyes (e.g.,
bluegill, channel catfish);
c. A third family in the phylum Chordata (e.g., fish,
amphibian);
d. A planktonic crustacean (e.g., a cladoceran, copepod);
e. A benthic crustacean (e.g., ostracod, isopod, amphipod,
crayfish);
f. An insect (e.g., mayfly, dragonfly, damselfly, stonefly,
caddisfly, mosquito, midge);
g. A family in a phylum other than Arthropoda or Chordata (e.g.,
Rotifera, Annelida, Mollusca);
h. A family in any order of insect or any phylum not already
represented.
2. Acute-chronic ratios (see section VI of this appendix) with
at least one species of aquatic animal in at least three different
families provided that of the three species:
a. At least one is a fish;
b. At least one is an invertebrate; and
c. At least one species is an acutely sensitive freshwater
species (the other two may be saltwater species).
3. Results of at least one acceptable test with a freshwater
algae or vascular plant is desirable but not required for criterion
derivation (see section VIII of this appendix). If plants are among
the aquatic organisms most sensitive to the material, results of a
test with a plant in another phylum (division) should also be
available.
C. If all required data are available, a numerical criterion can
usually be derived except in special cases. For example, derivation
of a chronic criterion might not be possible if the available ACRs
vary by more than a factor of ten with no apparent pattern. Also,
if a criterion is to be related to a water quality characteristic
(see sections V and VII of this appendix), more data will be
required.
D. Confidence in a criterion usually increases as the amount of
available pertinent information increases. Thus, additional data
are usually desirable.
IV. Final Acute Value
A. Appropriate measures of the acute (short-term) toxicity of
the material to a variety of species of aquatic animals are used to
calculate the Final Acute Value (FAV). The calculated Final Acute
Value is a calculated estimate of the concentration of a test
material such that 95 percent of the genera (with which acceptable
acute toxicity tests have been conducted on the material) have
higher Genus Mean Acute Values (GMAVs). An acute test is a
comparative study in which organisms, that are subjected to
different treatments, are observed for a short period usually not
constituting a substantial portion of their life span. However, in
some cases, the Species Mean Acute Value (SMAV) of a commercially
or recreationally important species of the Great Lakes System is
lower than the calculated FAV, then the SMAV replaces the
calculated FAV in order to provide protection for that important
species.
B. Acute toxicity tests shall be conducted using acceptable
procedures. For good examples of acceptable procedures see American
Society for Testing and Materials (ASTM) Standard E 729, Guide for
Conducting Acute Toxicity Tests with Fishes, Macroinvertebrates,
and Amphibians.
C. Except for results with saltwater annelids and mysids,
results of acute tests during which the test organisms were fed
should not be used, unless data indicate that the food did not
affect the toxicity of the test material. (Note: If the minimum
acute-chronic ratio data requirements (as described in section
III.B.2 of this appendix) are not met with freshwater data alone,
saltwater data may be used.)
D. Results of acute tests conducted in unusual dilution water,
e.g., dilution water in which total organic carbon or particulate
matter exceeded five mg/L, should not be used, unless a
relationship is developed between acute toxicity and organic carbon
or particulate matter, or unless data show that organic carbon or
particulate matter, etc., do not affect toxicity.
E. Acute values must be based upon endpoints which reflect the
total severe adverse impact of the test material on the organisms
used in the test. Therefore, only the following kinds of data on
acute toxicity to aquatic animals shall be used:
1. Tests with daphnids and other cladocerans must be started
with organisms less than 24 hours old and tests with midges must be
started with second or third instar larvae. It is preferred that
the results should be the 48-hour EC50 based on the total
percentage of organisms killed and immobilized. If such an EC50 is
not available for a test, the 48-hour LC50 should be used in place
of the desired 48-hour EC50. An EC50 or LC50 of longer than 48
hours can be used as long as the animals were not fed and the
control animals were acceptable at the end of the test. An EC50 is
a statistically or graphically estimated concentration that is
expected to cause one or more specified effects in 50% of a group
of organisms under specified conditions. An LC50 is a statistically
or graphically estimated concentration that is expected to be
lethal to 50% of a group of organisms under specified
conditions.
2. It is preferred that the results of a test with embryos and
larvae of barnacles, bivalve molluscs (clams, mussels, oysters and
scallops), sea urchins, lobsters, crabs, shrimp and abalones be the
96-hour EC50 based on the percentage of organisms with incompletely
developed shells plus the percentage of organisms killed. If such
an EC50 is not available from a test, of the values that are
available from the test, the lowest of the following should be used
in place of the desired 96-hour EC50: 48- to 96-hour EC50s based on
percentage of organisms with incompletely developed shells plus
percentage of organisms killed, 48- to 96-hour EC50s based upon
percentage of organisms with incompletely developed shells, and
48-hour to 96-hour LC50s. (Note: If the minimum acute-chronic ratio
data requirements (as described in section III.B.2 of this
appendix) are not met with freshwater data alone, saltwater data
may be used.)
3. It is preferred that the result of tests with all other
aquatic animal species and older life stages of barnacles, bivalve
molluscs (clams, mussels, oysters and scallops), sea urchins,
lobsters, crabs, shrimp and abalones be the 96-hour EC50 based on
percentage of organisms exhibiting loss of equilibrium plus
percentage of organisms immobilized plus percentage of organisms
killed. If such an EC50 is not available from a test, of the values
that are available from a test the lower of the following should be
used in place of the desired 96-hour EC50: the 96-hour EC50 based
on percentage of organisms exhibiting loss of equilibrium plus
percentage of organisms immobilized and the 96-hour LC50.
4. Tests whose results take into account the number of young
produced, such as most tests with protozoans, are not considered
acute tests, even if the duration was 96 hours or less.
5. If the tests were conducted properly, acute values reported
as “greater than” values and those which are above the solubility
of the test material should be used, because rejection of such
acute values would bias the Final Acute Value by eliminating acute
values for resistant species.
F. If the acute toxicity of the material to aquatic animals has
been shown to be related to a water quality characteristic such as
hardness or particulate matter for freshwater animals, refer to
section V of this appendix.
G. The agreement of the data within and between species must be
considered. Acute values that appear to be questionable in
comparison with other acute and chronic data for the same species
and for other species in the same genus must not be used. For
example, if the acute values available for a species or genus
differ by more than a factor of 10, rejection of some or all of the
values would be appropriate, absent countervailing
circumstances.
H. If the available data indicate that one or more life stages
are at least a factor of two more resistant than one or more other
life stages of the same species, the data for the more resistant
life stages must not be used in the calculation of the SMAV because
a species cannot be considered protected from acute toxicity if all
of the life stages are not protected.
I. For each species for which at least one acute value is
available, the SMAV shall be calculated as the geometric mean of
the results of all acceptable flow-through acute toxicity tests in
which the concentrations of test material were measured with the
most sensitive tested life stage of the species. For a species for
which no such result is available, the SMAV shall be calculated as
the geometric mean of all acceptable acute toxicity tests with the
most sensitive tested life stage, i.e., results of flow-through
tests in which the concentrations were not measured and results of
static and renewal tests based on initial concentrations (nominal
concentrations are acceptable for most test materials if measured
concentrations are not available) of test material. A renewal test
is a test with aquatic organisms in which either the test solution
in a test chamber is removed and replaced at least once during the
test or the test organisms are transferred into a new test solution
of the same composition at least once during the test. A static
test is a test with aquatic organisms in which the solution and
organisms that are in a test chamber at the beginning of the test
remain in the chamber until the end of the test, except for removal
of dead test organisms.
Note 1:
Data reported by original investigators must not be rounded off.
Results of all intermediate calculations must not be rounded off to
fewer than four significant digits.
Note 2:
The geometric mean of N numbers is the Nth root of the product
of the N numbers. Alternatively, the geometric mean can be
calculated by adding the logarithms of the N numbers, dividing the
sum by N, and taking the antilog of the quotient. The geometric
mean of two numbers is the square root of the product of the two
numbers, and the geometric mean of one number is that number.
Either natural (base e) or common (base 10) logarithms can be used
to calculate geometric means as long as they are used consistently
within each set of data, i.e., the antilog used must match the
logarithms used.
Note 3:
Geometric means, rather than arithmetic means, are used here
because the distributions of sensitivities of individual organisms
in toxicity tests on most materials and the distributions of
sensitivities of species within a genus are more likely to be
lognormal than normal. Similarly, geometric means are used for ACRs
because quotients are likely to be closer to lognormal than normal
distributions. In addition, division of the geometric mean of a set
of numerators by the geometric mean of the set of denominators will
result in the geometric mean of the set of corresponding
quotients.
J. For each genus for which one or more SMAVs are available, the
GMAV shall be calculated as the geometric mean of the SMAVs
available for the genus.
K. Order the GMAVs from high to low.
L. Assign ranks, R, to the GMAVs from “1” for the lowest to “N”
for the highest. If two or more GMAVs are identical, assign them
successive ranks.
M. Calculate the cumulative probability, P, for each GMAV as
R/(N + 1).
N. Select the four GMAVs which have cumulative probabilities
closest to 0.05 (if there are fewer than 59 GMAVs, these will
always be the four lowest GMAVs).
O. Using the four selected GMAVs, and Ps, calculate
Note:
Natural logarithms (logarithms to base e, denoted as ln) are
used herein merely because they are easier to use on some hand
calculators and computers than common (base 10) logarithms.
Consistent use of either will produce the same result.
P. If for a commercially or recreationally important species of
the Great Lakes System the geometric mean of the acute values from
flow-through tests in which the concentrations of test material
were measured is lower than the calculated Final Acute Value (FAV),
then that geometric mean must be used as the FAV instead of the
calculated FAV.
Q. See section VI of this appendix.
V. Final Acute Equation
A. When enough data are available to show that acute toxicity to
two or more species is similarly related to a water quality
characteristic, the relationship shall be taken into account as
described in sections V.B through V.G of this appendix or using
analysis of covariance. The two methods are equivalent and produce
identical results. The manual method described below provides an
understanding of this application of covariance analysis, but
computerized versions of covariance analysis are much more
convenient for analyzing large data sets. If two or more factors
affect toxicity, multiple regression analysis shall be used.
B. For each species for which comparable acute toxicity values
are available at two or more different values of the water quality
characteristic, perform a least squares regression of the acute
toxicity values on the corresponding values of the water quality
characteristic to obtain the slope and its 95 percent confidence
limits for each species.
Note:
Because the best documented relationship is that between
hardness and acute toxicity of metals in fresh water and a log-log
relationship fits these data, geometric means and natural
logarithms of both toxicity and water quality are used in the rest
of this section. For relationships based on other water quality
characteristics, such as Ph, temperature, no transformation or a
different transformation might fit the data better, and appropriate
changes will be necessary throughout this section.
C. Decide whether the data for each species are relevant, taking
into account the range and number of the tested values of the water
quality characteristic and the degree of agreement within and
between species. For example, a slope based on six data points
might be of limited value if it is based only on data for a very
narrow range of values of the water quality characteristic. A slope
based on only two data points, however, might be useful if it is
consistent with other information and if the two points cover a
broad enough range of the water quality characteristic. In
addition, acute values that appear to be questionable in comparison
with other acute and chronic data available for the same species
and for other species in the same genus should not be used. For
example, if after adjustment for the water quality characteristic,
the acute values available for a species or genus differ by more
than a factor of 10, rejection of some or all of the values would
be appropriate, absent countervailing justification. If useful
slopes are not available for at least one fish and one invertebrate
or if the available slopes are too dissimilar or if too few data
are available to adequately define the relationship between acute
toxicity and the water quality characteristic, return to section
IV.G of this appendix, using the results of tests conducted under
conditions and in waters similar to those commonly used for
toxicity tests with the species.
D. For each species, calculate the geometric mean of the
available acute values and then divide each of the acute values for
the species by the geometric mean for the species. This normalizes
the acute values so that the geometric mean of the normalized
values for each species individually and for any combination of
species is 1.0.
E. Similarly normalize the values of the water quality
characteristic for each species individually using the same
procedure as above.
F. Individually for each species perform a least squares
regression of the normalized acute values of the water quality
characteristic. The resulting slopes and 95 percent confidence
limits will be identical to those obtained in section V.B. of this
appendix. If, however, the data are actually plotted, the line of
best fit for each individual species will go through the point 1,1
in the center of the graph.
G. Treat all of the normalized data as if they were all for the
same species and perform a least squares regression of all of the
normalized acute values on the corresponding normalized values of
the water quality characteristic to obtain the pooled acute slope,
V, and its 95 percent confidence limits. If all of the normalized
data are actually plotted, the line of best fit will go through the
point 1,1 in the center of the graph.
H. For each species calculate the geometric mean, W, of the
acute toxicity values and the geometric mean, X, of the values of
the water quality characteristic. (These were calculated in
sections V.D and V.E of this appendix).
I. For each species, calculate the logarithm, Y, of the SMAV at
a selected value, Z, of the water quality characteristic using the
equation:
Y = ln W−V(ln X−ln Z)
J. For each species calculate the SMAV at X using the
equation:
SMAV = e Y Note:
Alternatively, the SMAVs at Z can be obtained by skipping step H
above, using the equations in steps I and J to adjust each acute
value individually to Z, and then calculating the geometric mean of
the adjusted values for each species individually. This alternative
procedure allows an examination of the range of the adjusted acute
values for each species.
K. Obtain the FAV at Z by using the procedure described in
sections IV.J through IV.O of this appendix.
L. If, for a commercially or recreationally important species of
the Great Lakes System the geometric mean of the acute values at Z
from flow-through tests in which the concentrations of the test
material were measured is lower than the FAV at Z, then the
geometric mean must be used as the FAV instead of the FAV.
M. The Final Acute Equation is written as:
FAV = e(V[ln(waterqualitycharacteristic)] = A − V[lnZ]), where: V =
pooled acute slope, and A = ln(FAV at Z).
Because V, A, and Z are known, the FAV can be calculated for any
selected value of the water quality characteristic.
VI. Final Chronic Value
A. Depending on the data that are available concerning chronic
toxicity to aquatic animals, the Final Chronic Value (FCV) can be
calculated in the same manner as the FAV or by dividing the FAV by
the Final Acute-Chronic Ratio (FACR). In some cases, it might not
be possible to calculate a FCV. The FCV is (a) a calculated
estimate of the concentration of a test material such that 95
percent of the genera (with which acceptable chronic toxicity tests
have been conducted on the material) have higher GMCVs, or (b) the
quotient of an FAV divided by an appropriate ACR, or (c) the SMCV
of an important and/or critical species, if the SMCV is lower than
the calculated estimate or the quotient, whichever is
applicable.
Note:
As the name implies, the ACR is a way of relating acute and
chronic toxicities.
B. Chronic values shall be based on results of flow-through
(except renewal is acceptable for daphnids) chronic tests in which
the concentrations of test material in the test solutions were
properly measured at appropriate times during the test. A chronic
test is a comparative study in which organisms, that are subjected
to different treatments, are observed for a long period or a
substantial portion of their life span.
C. Results of chronic tests in which survival, growth, or
reproduction in the control treatment was unacceptably low shall
not be used. The limits of acceptability will depend on the
species.
D. Results of chronic tests conducted in unusual dilution water,
e.g., dilution water in which total organic carbon or particulate
matter exceeded five mg/L, should not be used, unless a
relationship is developed between chronic toxicity and organic
carbon or particulate matter, or unless data show that organic
carbon, particulate matter, etc., do not affect toxicity.
E. Chronic values must be based on endpoints and lengths of
exposure appropriate to the species. Therefore, only results of the
following kinds of chronic toxicity tests shall be used:
1. Life-cycle toxicity tests consisting of exposures of each of
two or more groups of individuals of a species to a different
concentration of the test material throughout a life cycle. To
ensure that all life stages and life processes are exposed, tests
with fish should begin with embryos or newly hatched young less
than 48 hours old, continue through maturation and reproduction,
and should end not less than 24 days (90 days for salmonids) after
the hatching of the next generation. Tests with daphnids should
begin with young less than 24 hours old and last for not less than
21 days, and for ceriodaphnids not less than seven days. For good
examples of acceptable procedures see American Society for Testing
and Materials (ASTM) Standard E 1193 Guide for conducting renewal
life-cycle toxicity tests with Daphnia magna and ASTM
Standard E 1295 Guide for conducting three-brood, renewal toxicity
tests with Ceriodaphnia dubia. Tests with mysids should
begin with young less than 24 hours old and continue until seven
days past the median time of first brood release in the controls.
For fish, data should be obtained and analyzed on survival and
growth of adults and young, maturation of males and females, eggs
spawned per female, embryo viability (salmonids only), and
hatchability. For daphnids, data should be obtained and analyzed on
survival and young per female. For mysids, data should be obtained
and analyzed on survival, growth, and young per female.
2. Partial life-cycle toxicity tests consist of exposures of
each of two more groups of individuals of a species of fish to a
different concentration of the test material through most portions
of a life cycle. Partial life-cycle tests are allowed with fish
species that require more than a year to reach sexual maturity, so
that all major life stages can be exposed to the test material in
less than 15 months. A life-cycle test is a comparative study in
which organisms, that are subjected to different treatments, are
observed at least from a life stage in one generation to the same
life-stage in the next generation. Exposure to the test material
should begin with immature juveniles at least two months prior to
active gonad development, continue through maturation and
reproduction, and end not less than 24 days (90 days for salmonids)
after the hatching of the next generation. Data should be obtained
and analyzed on survival and growth of adults and young, maturation
of males and females, eggs spawned per female, embryo viability
(salmonids only), and hatchability.
3. Early life-stage toxicity tests consisting of 28- to 32-day
(60 days post hatch for salmonids) exposures of the early life
stages of a species of fish from shortly after fertilization
through embryonic, larval, and early juvenile development. Data
should be obtained and analyzed on survival and growth.
Note:
Results of an early life-stage test are used as predictions of
results of life-cycle and partial life-cycle tests with the same
species. Therefore, when results of a life-cycle or partial
life-cycle test are available, results of an early life-stage test
with the same species should not be used. Also, results of early
life-stage tests in which the incidence of mortalities or
abnormalities increased substantially near the end of the test
shall not be used because the results of such tests are possibly
not good predictions of comparable life-cycle or partial life-cycle
tests.
F. A chronic value may be obtained by calculating the geometric
mean of the lower and upper chronic limits from a chronic test or
by analyzing chronic data using regression analysis.
1. A lower chronic limit is the highest tested
concentration:
a. In an acceptable chronic test;
b. Which did not cause an unacceptable amount of adverse effect
on any of the specified biological measurements; and
c. Below which no tested concentration caused an unacceptable
effect.
2. An upper chronic limit is the lowest tested
concentration:
a. In an acceptable chronic test;
b. Which did cause an unacceptable amount of adverse effect on
one or more of the specified biological measurements; and,
c. Above which all tested concentrations also caused such an
effect.
Note:
Because various authors have used a variety of terms and
definitions to interpret and report results of chronic tests,
reported results should be reviewed carefully. The amount of effect
that is considered unacceptable is often based on a statistical
hypothesis test, but might also be defined in terms of a specified
percent reduction from the controls. A small percent reduction
(e.g., three percent) might be considered acceptable even if it is
statistically significantly different from the control, whereas a
large percent reduction (e.g., 30 percent) might be considered
unacceptable even if it is not statistically significant.
G. If the chronic toxicity of the material to aquatic animals
has been shown to be related to a water quality characteristic such
as hardness or particulate matter for freshwater animals, refer to
section VII of this appendix.
H. If chronic values are available for species in eight families
as described in section III.B.1 of this appendix, a SMCV shall be
calculated for each species for which at least one chronic value is
available by calculating the geometric mean of the results of all
acceptable life-cycle and partial life-cycle toxicity tests with
the species; for a species of fish for which no such result is
available, the SMCV is the geometric mean of all acceptable early
life-stage tests. Appropriate GMCVs shall also be calculated. A
GMCV is the geometric mean of the SMCVs for the genus. The FCV
shall be obtained using the procedure described in sections IV.J
through IV.O of this appendix, substituting SMCV and GMCV for SMAV
and GMAV respectively. See section VI.M of this appendix.
Note:
Section VI.I through VI.L are for use when chronic values are
not available for species in eight taxonomic families as described
in section III.B.1 of this appendix.
I. For each chronic value for which at least one corresponding
appropriate acute value is available, calculate an ACR, using for
the numerator the geometric mean of the results of all acceptable
flow-through (except static is acceptable for daphnids and midges)
acute tests in the same dilution water in which the concentrations
are measured. For fish, the acute test(s) should be conducted with
juveniles. The acute test(s) should be part of the same study as
the chronic test. If acute tests were not conducted as part of the
same study, but were conducted as part of a different study in the
same laboratory and dilution water, then they may be used. If no
such acute tests are available, results of acute tests conducted in
the same dilution water in a different laboratory may be used. If
no such acute tests are available, an ACR shall not be
calculated.
J. For each species, calculate the SMACR as the geometric mean
of all ACRs available for that species. If the minimum ACR data
requirements (as described in section III.B.2 of this appendix) are
not met with freshwater data alone, saltwater data may be used
along with the freshwater data.
K. For some materials, the ACR seems to be the same for all
species, but for other materials the ratio seems to increase or
decrease as the SMAV increases. Thus the FACR can be obtained in
three ways, depending on the data available:
1. If the species mean ACR seems to increase or decrease as the
SMAVs increase, the FACR shall be calculated as the geometric mean
of the ACRs for species whose SMAVs are close to the FAV.
2. If no major trend is apparent and the ACRs for all species
are within a factor of ten, the FACR shall be calculated as the
geometric mean of all of the SMACRs.
3. If the most appropriate SMACRs are less than 2.0, and
especially if they are less than 1.0, acclimation has probably
occurred during the chronic test. In this situation, because
continuous exposure and acclimation cannot be assured to provide
adequate protection in field situations, the FACR should be assumed
to be two, so that the FCV is equal to the Criterion Maximum
Concentration (CMC). (See section X.B of this appendix.)
If the available SMACRs do not fit one of these cases, a FACR
may not be obtained and a Tier I FCV probably cannot be
calculated.
L. Calculate the FCV by dividing the FAV by the FACR.
FCV = FAV ÷ FACR
If there is a Final Acute Equation rather than a FAV, see also
section V of this appendix.
M. If the SMCV of a commercially or recreationally important
species of the Great Lakes System is lower than the calculated FCV,
then that SMCV must be used as the FCV instead of the calculated
FCV.
N. See section VIII of this appendix.
VII. Final Chronic Equation
A. A Final Chronic Equation can be derived in two ways. The
procedure described in section VII.A of this appendix will result
in the chronic slope being the same as the acute slope. The
procedure described in sections VII.B through N of this appendix
will usually result in the chronic slope being different from the
acute slope.
1. If ACRs are available for enough species at enough values of
the water quality characteristic to indicate that the ACR appears
to be the same for all species and appears to be independent of the
water quality characteristic, calculate the FACR as the geometric
mean of the available SMACRs.
2. Calculate the FCV at the selected value Z of the water
quality characteristic by dividing the FAV at Z (see section V.M of
this appendix) by the FACR.
3. Use V = pooled acute slope (see section V.M of this
appendix), and
L = pooled chronic slope.
4. See section VII.M of this appendix.
B. When enough data are available to show that chronic toxicity
to at least one species is related to a water quality
characteristic, the relationship should be taken into account as
described in sections C through G below or using analysis of
covariance. The two methods are equivalent and produce identical
results. The manual method described below provides an
understanding of this application of covariance analysis, but
computerized versions of covariance analysis are much more
convenient for analyzing large data sets. If two or more factors
affect toxicity, multiple regression analysis shall be used.
C. For each species for which comparable chronic toxicity values
are available at two or more different values of the water quality
characteristic, perform a least squares regression of the chronic
toxicity values on the corresponding values of the water quality
characteristic to obtain the slope and its 95 percent confidence
limits for each species.
Note:
Because the best documented relationship is that between
hardness and acute toxicity of metals in fresh water and a log-log
relationship fits these data, geometric means and natural
logarithms of both toxicity and water quality are used in the rest
of this section. For relationships based on other water quality
characteristics, such as Ph, temperature, no transformation or a
different transformation might fit the data better, and appropriate
changes will be necessary throughout this section. It is probably
preferable, but not necessary, to use the same transformation that
was used with the acute values in section V of this appendix.
D. Decide whether the data for each species are relevant, taking
into account the range and number of the tested values of the water
quality characteristic and the degree of agreement within and
between species. For example, a slope based on six data points
might be of limited value if it is based only on data for a very
narrow range of values of the water quality characteristic. A slope
based on only two data points, however, might be more useful if it
is consistent with other information and if the two points cover a
broad range of the water quality characteristic. In addition,
chronic values that appear to be questionable in comparison with
other acute and chronic data available for the same species and for
other species in the same genus in most cases should not be used.
For example, if after adjustment for the water quality
characteristic, the chronic values available for a species or genus
differ by more than a factor of 10, rejection of some or all of the
values is, in most cases, absent countervailing circumstances,
appropriate. If a useful chronic slope is not available for at
least one species or if the available slopes are too dissimilar or
if too few data are available to adequately define the relationship
between chronic toxicity and the water quality characteristic, it
might be appropriate to assume that the chronic slope is the same
as the acute slope, which is equivalent to assuming that the ACR is
independent of the water quality characteristic. Alternatively,
return to section VI.H of this appendix, using the results of tests
conducted under conditions and in waters similar to those commonly
used for toxicity tests with the species.
E. Individually for each species, calculate the geometric mean
of the available chronic values and then divide each chronic value
for a species by the mean for the species. This normalizes the
chronic values so that the geometric mean of the normalized values
for each species individually, and for any combination of species,
is 1.0.
F. Similarly, normalize the values of the water quality
characteristic for each species individually.
G. Individually for each species, perform a least squares
regression of the normalized chronic toxicity values on the
corresponding normalized values of the water quality
characteristic. The resulting slopes and the 95 percent confidence
limits will be identical to those obtained in section VII.B of this
appendix. Now, however, if the data are actually plotted, the line
of best fit for each individual species will go through the point
1,1 in the center of the graph.
H. Treat all of the normalized data as if they were all the same
species and perform a least squares regression of all of the
normalized chronic values on the corresponding normalized values of
the water quality characteristic to obtain the pooled chronic
slope, L, and its 95 percent confidence limits.
If all normalized data are actually plotted, the line of best
fit will go through the point 1,1 in the center of the graph.
I. For each species, calculate the geometric mean, M, of the
toxicity values and the geometric mean, P, of the values of the
water quality characteristic. (These are calculated in sections
VII.E and F of this appendix.)
J. For each species, calculate the logarithm, Q, of the SMCV at
a selected value, Z, of the water quality characteristic using the
equation:
Q = ln M - L(ln P−ln Z) Note:
Although it is not necessary, it is recommended that the same
value of the water quality characteristic be used here as was used
in section V of this appendix.
K. For each species, calculate a SMCV at Z using the
equation:
SMCV = e Q Note:
Alternatively, the SMCV at Z can be obtained by skipping section
VII.J of this appendix, using the equations in sections VII.J and K
of this appendix to adjust each chronic value individually to Z,
and then calculating the geometric means of the adjusted values for
each species individually. This alternative procedure allows an
examination of the range of the adjusted chronic values for each
species.
L. Obtain the FCV at Z by using the procedure described in
sections IV.J through O of this appendix.
M. If the SMCV at Z of a commercially or recreationally
important species of the Great Lakes System is lower than the
calculated FCV at Z, then that SMCV shall be used as the FCV at Z
instead of the calculated FCV.
N. The Final Chronic Equation is written as:
FCV = e(L&[ln(waterqualitycharacteristic)] = lnS−L[lnZ]) Where:
L = pooled chronic slope and S = FCV at Z.
Because L, S, and Z are known, the FCV can be calculated for any
selected value of the water quality characteristic.
VIII. Final Plant Value
A. A Final Plant Value (FPV) is the lowest plant value that was
obtained with an important aquatic plant species in an acceptable
toxicity test for which the concentrations of the test material
were measured and the adverse effect was biologically important.
Appropriate measures of the toxicity of the material to aquatic
plants are used to compare the relative sensitivities of aquatic
plants and animals. Although procedures for conducting and
interpreting the results of toxicity tests with plants are not
well-developed, results of tests with plants usually indicate that
criteria which adequately protect aquatic animals and their uses
will, in most cases, also protect aquatic plants and their
uses.
B. A plant value is the result of a 96-hour test conducted with
an alga or a chronic test conducted with an aquatic vascular
plant.
Note:
A test of the toxicity of a metal to a plant shall not be used
if the medium contained an excessive amount of a complexing agent,
such as EDTA, that might affect the toxicity of the metal.
Concentrations of EDTA above 200 µg/L should be considered
excessive.
C. The FPV shall be obtained by selecting the lowest result from
a test with an important aquatic plant species in which the
concentrations of test material are measured and the endpoint is
biologically important.
IX. Other Data
Pertinent information that could not be used in earlier sections
might be available concerning adverse effects on aquatic organisms.
The most important of these are data on cumulative and delayed
toxicity, reduction in survival, growth, or reproduction, or any
other adverse effect that has been shown to be biologically
important. Delayed toxicity is an adverse effect to an organism
that results from, and occurs after the end of, its exposure to one
or more test materials. Especially important are data for species
for which no other data are available. Data from behavioral,
biochemical, physiological, microcosm, and field studies might also
be available. Data might be available from tests conducted in
unusual dilution water (see sections IV.D and VI.D of this
appendix), from chronic tests in which the concentrations were not
measured (see section VI.B of this appendix), from tests with
previously exposed organisms (see section II.F.3 of this appendix),
and from tests on formulated mixtures or emulsifiable concentrates
(see section II.D of this appendix). Such data might affect a
criterion if the data were obtained with an important species, the
test concentrations were measured, and the endpoint was
biologically important.
X. Criterion
A. A criterion consists of two concentrations: the CMC and the
Criterion Continuous Concentration (CCC).
B. The CMC is equal to one-half the FAV. The CMC is an estimate
of the highest concentration of a material in the water column to
which an aquatic community can be exposed briefly without resulting
in an unacceptable effect.
C. The CCC is equal to the lowest of the FCV or the FPV (if
available) unless other data (see section IX of this appendix) show
that a lower value should be used. The CCC is an estimate of the
highest concentration of a material in the water column to which an
aquatic community can be exposed indefinitely without resulting in
an unacceptable effect. If toxicity is related to a water quality
characteristic, the CCC is obtained from the Final Chronic Equation
or FPV (if available) that results in the lowest concentrations in
the usual range of the water quality characteristic, unless other
data (see section IX) show that a lower value should be used.
D. Round both the CMC and the CCC to two significant digits.
E. The criterion is stated as:
The procedures described in the Tier I methodology indicate
that, except possibly where a commercially or recreationally
important species is very sensitive, aquatic organisms should not
be affected unacceptably if the four-day average concentration of
(1) does not exceed (2) µg/L more than once every three years on
the average and if the one-hour average concentration does not
exceed (3) µg/L more than once every three years on the
average.
Where: (1) = insert name of material (2) = insert the CCC (3) =
insert the CMC
If the CMC averaging period of one hour or the CCC averaging
period of four days is inappropriate for the pollutant, or if the
once-in-three-year allowable excursion frequency is inappropriate
for the pollutant or for the sites to which a criterion is applied,
then the State may specify alternative averaging periods or
frequencies. The choice of an alternative averaging period or
frequency shall be justified by a scientifically defensible
analysis demonstrating that the alternative values will protect the
aquatic life uses of the water. Appropriate laboratory data and/or
well-designed field biological surveys shall be submitted to EPA as
justification for differing averaging periods and/or frequencies of
exceedance.
XI. Final Review
A. The derivation of the criterion should be carefully reviewed
by rechecking each step of the Guidance in this part. Items that
should be especially checked are:
1. If unpublished data are used, are they well documented?
2. Are all required data available?
3. Is the range of acute values for any species greater than a
factor of 10?
4. Is the range of SMAVs for any genus greater than a factor of
10?
5. Is there more than a factor of 10 difference between the four
lowest GMAVs?
6. Are any of the lowest GMAVs questionable?
7. Is the FAV reasonable in comparison with the SMAVs and
GMAVs?
8. For any commercially or recreationally important species of
the Great Lakes System, is the geometric mean of the acute values
from flow-through tests in which the concentrations of test
material were measured lower than the FAV?
9. Are any of the chronic values used questionable?
10. Are any chronic values available for acutely sensitive
species?
11. Is the range of acute-chronic ratios greater than a factor
of 10?
12. Is the FCV reasonable in comparison with the available acute
and chronic data?
13. Is the measured or predicted chronic value for any
commercially or recreationally important species of the Great Lakes
System below the FCV?
14. Are any of the other data important?
15. Do any data look like they might be outliers?
16. Are there any deviations from the Guidance in this part? Are
they acceptable?
B. On the basis of all available pertinent laboratory and field
information, determine if the criterion is consistent with sound
scientific evidence. If it is not, another criterion, either higher
or lower, shall be derived consistent with the Guidance in this
part.
Methodology for Deriving Aquatic Life Values: Tier II XII.
Secondary Acute Value
If all eight minimum data requirements for calculating an FAV
using Tier I are not met, a Secondary Acute Value (SAV) for the
waters of the Great Lakes System shall be calculated for a chemical
as follows:
To calculate a SAV, the lowest GMAV in the database is divided
by the Secondary Acute Factor (SAF) (Table A-1 of this appendix)
corresponding to the number of satisfied minimum data requirements
listed in the Tier I methodology (section III.B.1 of this
appendix). (Requirements for definitions, data collection and data
review, contained in sections I, II, and IV shall be applied to
calculation of a SAV.) If all eight minimum data requirements are
satisfied, a Tier I criterion calculation may be possible. In order
to calculate a SAV, the database must contain, at a minimum, a
genus mean acute value (GMAV) for one of the following three genera
in the family Daphnidae - Ceriodaphnia sp., Daphnia sp., or
Simocephalus sp.
If appropriate, the SAV shall be made a function of a water
quality characteristic in a manner similar to that described in
Tier I.
XIII. Secondary Acute-Chronic Ratio
If three or more experimentally determined ACRs, meeting the
data collection and review requirements of Section VI of this
appendix, are available for the chemical, determine the FACR using
the procedure described in Section VI. If fewer than three
acceptable experimentally determined ACRs are available, use enough
assumed ACRs of 18 so that the total number of ACRs equals three.
Calculate the Secondary Acute-Chronic Ratio (SACR) as the geometric
mean of the three ACRs. Thus, if no experimentally determined ACRs
are available, the SACR is 18.
XIV. Secondary Chronic Value
Calculate the Secondary Chronic Value (SCV) using one of the
following:
If appropriate, the SCV will be made a function of a water
quality characteristic in a manner similar to that described in
Tier I.
XV. Commercially or Recreationally Important Species
If for a commercially or recreationally important species of the
Great Lakes System the geometric mean of the acute values or
chronic values from flow-through tests in which the concentrations
of the test materials were measured is lower than the calculated
SAV or SCV, then that geometric mean must be used as the SAV or SCV
instead of the calculated SAV or SCV.
XVI. Tier II Value
A. A Tier II value shall consist of two concentrations: the
Secondary Maximum Concentration (SMC) and the Secondary Continuous
Concentration (SCC).
B. The SMC is equal to one-half of the SAV.
C. The SCC is equal to the lowest of the SCV or the Final Plant
Value, if available, unless other data (see section IX of this
appendix) show that a lower value should be used.
If toxicity is related to a water quality characteristic, the
SCC is obtained from the Secondary Chronic Equation or FPV, if
available, that results in the lowest concentrations in the usual
range of the water quality characteristic, unless other data (See
section IX of this appendix) show that a lower value should be
used.
D. Round both the SMC and the SCC to two significant digits.
E. The Tier II value is stated as:
The procedures described in the Tier II methodology indicate
that, except possibly where a locally important species is very
sensitive, aquatic organisms should not be affected unacceptably if
the four-day average concentration of (1) does not exceed (2) µg/L
more than once every three years on the average and if the one-hour
average concentration does not exceed (3) µg/L more than once every
three years on the average.
Where: (1) = insert name of material (2) = insert the SCC (3) =
insert the SMC
As discussed above, States and Tribes have the discretion to
specify alternative averaging periods or frequencies (see section
X.E. of this appendix).
XVII. Appropriate Modifications
On the basis of all available pertinent laboratory and field
information, determine if the Tier II value is consistent with
sound scientific evidence. If it is not, another value, either
higher or lower, shall be derived consistent with the Guidance in
this part.
Table A-1 - Secondary Acute Factors
Number of minimum data
requirements satisfied |
Adjustment factor |
1 |
21.9 |
2 |
13.0 |
3 |
8.0 |
4 |
7.0 |
5 |
6.1 |
6 |
5.2 |
7 |
4.3 |