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SEDIMENT HEALTH QUOTIENT:
APPLICATION DOCUMENT FOR
FRESHWATER SYSTEMS
Prepared for:
Golder Grundteknik kb
Gata 12
416 64 Göteborg, Sweden
Sweden
Prepared by:
HydroQual Laboratories Ltd.
#3, 6125 12th Street SW
Calgary, AB
Canada T2H 2K1
February 2000
Sediment Health Assessment - Application Document Freshwater
Written by SG on 1998/07/09 HydroQual Laboratories Ltd. Version 2.0 Revised by SG/JFH on 2000/02/14 i File: sediment health quotient(bil6).doc
Executive Summary
The sediment health quotient is an approach for assessing the health and ecological
potential of sediments. The quotient is based on a physical, chemical, and biological
characterization and rating of sediment conditions. The approach is flexible, permits
comparisons amongst sediments with widely different properties and contaminant levels,
and it can be adapted to site specific conditions.
The rationale and development of the quotient are documented in this report along with
sample handling, assessment methods, and quality assurance practices. Standardized
reporting formats have also been developed for compiling and presenting the findings.
An interpretive guide is included for the reporting formats and how to apply the results to
site specific conditions. This guide was written for freshwater sediments. The same
approach can be taken for marine sediments but with different test species.
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Table Of Contents
Executive Summary ................................................................................... i
Table of Contents ...................................................................................... ii
List of Tables ........................................................................................... iii
List of Figures ........................................................................................... iii
1.0 Sediment Health Quotient .......................................................................... 1
1.1 Background .................................................................................... 1
1.2 Sediment Health Quotient .............................................................. 2
2.0 Assessment Methods................................................................................. 4
2.1 Sediment Handling Procedures ...................................................... 4
2.2 Biological Assessment.................................................................... 5
2.2.1 Microbes ............................................................................. 5
2.2.2 Plants.................................................................................. 7
2.2.3 Invertebrates....................................................................... 8
2.2.4 Sediment Community Processes ........................................ 9
2.2.5 Genotoxicity Testing ........................................................... 10
2.3 Quality Assurance Practices........................................................... 11
3.0 Reporting Formats ..................................................................................... 12
4.0 Interpretive Guide ...................................................................................... 12
5.0 General References................................................................................... 14
6.0 Tables ........................................................................................... 15
7.0 Figures ........................................................................................... 16
8.0 Appendices ........................................................................................... 17
8.1 Examples of Data Summary Tables
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List Of Tables
1. Summary of Test Methods
2. Criteria for Ranking Test Results
3. Test Results Summary
4. Data Summary Tables
List Of Figures
1. Flow Chart for Processing Test Sediments
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1.0 Sediment Health Quotient
The sediment health quotient is an approach for assessing the health and ecological
potential of contaminated sediments. The quotient is based on physical, chemical and
biological information on the sediments and porewater. The level of impairment is
ranked relative to what is defined as a non-toxic, or a healthy state and condition of the
sediment. The focus of the sediment health quotient is ecological. It can be adapted to
site specific conditions to address specific questions and information requirements in
both freshwater and marine systems..
The rationale for the development of the sediment health quotient is presented in this
section. Specific handling and test methods are briefly described in the next section. A
guide for interpreting and applying the findings is also provided and the data reporting
formats are appended.
1.1 Background
Conventional approaches to contaminated site assessments are well documented and
will not be reviewed in detail here. They typically involve a review of existing information
on the site, some chemical analyses, and interpretation of the findings based on
published data. More recently, biological testing has been incorporated into
assessments to compliment chemical analyses and to confirm that no bioactive
substances have been overlooked (due diligence and final validation). However, this has
involved limited testing with usually one or two different species.
Sediments are complex systems and factors affecting the availability of contaminants
are not well understood. Reliance on chemical specific criteria alone is limiting because
the approach does not address:
• potential interactive effects (synergistic, additive, etc.),
• factors affecting bioavailability (exposure pathways),
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• effects of background conditions,
• unknown toxic constituents and conditions, and
• ecosystem structure and function (the biological component).
There are potentially billions of permutations and combinations of the basic building
blocks of organic compounds (carbon, hydrogen, oxygen, nitrogen, etc.). Over five
hundred thousand new compounds are registered every year and there are currently
over fourteen million known and registered compounds. Chemical criteria have been
established for only a few hundred compounds. Hence, the potential for missing
chemicals of real concern in site assessments is both real and large.
Chemical criteria are also based on the presence of the material alone and do not
provide consideration for interactive effects with other compounds. These interactions
can be additive, synergistic (greater than the sum of either), or even negative. Further,
chemical criteria do not provide information on how sediment conditions affect
bioavailability and the structure and function of a viable ecosystem.
No life forms may be present in sediments with conditions considered ideal for
supporting a viable ecosystem. This would be considered a system with high ecological
potential even though there are no life forms present. Alternatively, conditions may not
be suitable for supporting growth of one or more trophic levels. This impairment may not
be a result of chemical toxicity but could arise from the absence of nutrients, organic
matter, or sediment conditions unfavorable for supporting growth of microbes, plants
and other trophic levels (physical factors). This system would have a low ecological
potential. These issues are of particular relevance in assessing areas that are absent of
life within an impacted site. Do you reclaim or rehabilitate areas with naturally low
ecological potentials to conditions considered more ecologically self-sustaining?
The sediment health quotient provides a means to integrate chemical, physical and
biological information into an overall rating for comparative assessment purposes. It
provides a tool for dealing with naturally versus chemically impaired systems. The
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quotient provides a tool to establish realistic, site specific clean-up criteria targeted at
protecting ecological integrity (ecosystem structure and function).
1.2 Sediment Health Quotient
Sediment health is defined in terms of abiotic and biotic properties and how these relate
to the existing ecological state and future potential. Abiotic factors include physical and
chemical conditions such as sediment porewater pH, electrical conductivity (salts),
particle size distribution (sand, silt, clay), porewater ammonium, total organic carbon
(TOC) and total Kjeldahl nitrogen (TKN) levels, colour and odour. Additional parameters
can be included in the initial characterization as required (metals and acid volatile
sulfides for example).
Most of these parameters are gross measures of the quality of the physical and
chemical environment. Organisms must respond to changes in the quality of their
environment in order to survive. The physiological tolerances of most living things are
also well defined. However, frequent and large exceedences of their physiological limits
can be stressful and ultimately lethal.
There are two biotic components. The first is an assessment of indigenous microbial,
invertebrate and plant populations (what’s present in the sample). The microbes are
plated out onto a nutrient agar and allowed to grow. The presence of invertebrates and
plants is noted on the project sheet during sample sign-in.
The second component involves measurement of two types of responses. The first
involves community processes and second is the response of individual organisms
exposed to the sample and sample extracts. A multi-trophic level approach is taken in
both cases. The absence of life forms may not be a result of chemical or physical
conditions or lack of food. In this respect, living organisms are employed as detectors of
environmental quality. The test battery is composed of organisms representative of
major trophic levels and could include:
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• microbes
⇒ bacterial luminescence
⇒ bacterial growth
⇒ enumeration of fungal and bacterial populations
⇒ sediment oxygen demand (community process)
• plants
⇒ inhibition of plant growth in water and methanol extracts (root, algal,
duckweed)
⇒ presence/absence of plants in the sample as received
• invertebrates
⇒ survival or sediment dwelling organisms (chironomids, amphipods, or
Lumbriculus)
⇒ zooplankton survival in water and methanol extracts (i.e. the waterflea
Daphnia magna)
⇒ presence/absence of invertebrates in the sample as received
• vertebrates
⇒ fish survival (fathead minnow or other species)
• other - depends on information needs (some examples are listed below)
⇒ amphibian development and survival
⇒ invertebrate reproduction
⇒ microbial genetic diversity
⇒ endocrine disrupting compounds
⇒ mixed function oxidase induction
⇒ in vitro testing with cell cultures
⇒ genotoxcity (AMES, SOS, Mutatox)
⇒ mammalian and avian studies
HydroQual Laboratories Ltd. has developed a large and diverse battery of screening test
methods for assessing site specific issues (freshwater and marine). Most of the species
are representative of major trophic levels in aquatic and sediment systems. Plants and
microbes convert chemical energy and light (plants) into biomass, and they also serve
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as primary food sources for invertebrates. Microbes and invertebrates come into
intimate contact with the sediments and sediment-bound contaminants. Hence,
exposure is through direct contact and from water column.
Invertebrates are preyed upon by other invertebrates and fish. They provide a pathway
for contaminants from the sediments to the water column and other life forms (birds and
mammals).
The response of the test organism is proportional to the level of stress; in other words
dose dependent. The intensity of the response is factored into the rating system for the
health quotient. The test battery is not limited to the organisms and measurements
defined above and alternate tests can be included to address site specific conditions.
Further, this document is for freshwater sediments and the same approach can be taken
for marine systems with ecologically similar species.
Invertebrate species native to the area under investigation can be added to the test
battery. Alternatively, some species can be removed if considered inappropriate or
insensitive. However, it is important to include one or more standard test organisms in
each trophic level as benchmarks to relate the findings to other sites and conditions.
A major benefit of employing different life forms in a test battery is that different species
have different sensitivities to different compounds and conditions. Hence, effects are
less likely to be missed with a test battery. The approach also permits resolution of the
sensitivity of ecosystem components to different contaminants and conditions. Other
applications of the sediment health quotient include:
• assess ecological risk,
• map or delineate impacted areas (isopleths of ecological impairment),
• basis for selection of remedial management options, and
• tool to assess effectiveness of remediation and validation of treatments (confirm
ecosystem structure and function adequately restored to acceptable conditions).
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2.0 Methods
This document does not cover sampling procedures. The sample collected in the field
must be representative of the site under investigation. The number of samples and or
composites is determined by the study objectives.
2.1 Sediment Handling Procedures
Tests are conducted on the sediments as received, porewater (if available) and on water
and methanol extracts (Figure 1). Observations are made on the colour, texture and
odour of the sediment with a simplified key. Colour is recorded as either pale or dark
yellow, brown, red, olive, green, gray or clear. Texture is evaluated as percent
sand/silt/clay by hydrometer. Odour is rated as either strong or mild hydrocarbon,
organic, chemical, or none. Measurements for total organic carbon and Kjeldahl nitrogen
provide some information on the nutritional value of the sediment (organic substrate
available). Additional chemical and physical analyses may be included as required.
The sediments are homogenized with hand mixing. A 100 g sample is removed and
centrifuged at 15,000 x g for 20 minutes. The pore water volume is recorded and the
supernatant decanted and archived for testing. The solids are removed, dried at 105oC
overnight, and reweighed to get the moisture content. The dry solids are homogenized
and 20 g samples separately extracted with 80 mL of reagent grade methanol and
deionized water. The extracts are shaken to disperse the solids. The colour, odour, pH
and conductance of the porewater and/or aqueous extract are measured. All sediments
and extracts are stored at 5oC in darkness until tested.
Aqueous extracts may not be done on samples with high porewater volumes (>30%). In
these instances, the porewater is tested directly.
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The water and methanol solvents permit differential extraction of potential contaminants
based on their physical and chemical properties. Methanol extracts are tested at a level
known to have no adverse effects on the test organism (NOEC or no observed effect
concentration).
2.2 Biological Test Methods
The test descriptions and results are grouped by major trophic level. Tests are
performed on the sediments as received (solid phase) and on the porewater or aqueous
extract, and the methanol extract.
The results from each test are rated from 1 to 5. Higher values are assigned to lower
responses or no effect (non-toxic condition). Toxic responses are assigned lower
values. These ratings are then carried forward to a trophic level assessment, then finally
an overall sediment health quotient.
2.2.1 Microbes
Microbes are an integral component of sediment systems. They play vital roles in the
degradation of organic mater, the cycling of organic nutrients and metals, and serve as
an important food source for many invertebrates. The microbial tests included bacterial
luminescence, bacterial growth inhibition and enumeration of sediment bacteria and
fungi. Additional tests can be included if required such as sediment oxygen demand,
assessment of genetic diversity, and enumeration of microbial community structure.
The bacterial luminescence test is based on light output by the marine bacterium Vibrio
fischeri (Environment Canada, 1992). Substances that are toxic or stressful will reduce
light output. Hence, light output is related to sample strength or toxicity. The aqueous
samples are tested at 91% full strength; the slight dilution resulting from the addition of a
salt solution to osmotically adjust the sample (marine bacterium requires salt). The
methanol extracts are tested at 5%, which is the highest concentration of methanol
tolerated by the bacterium (NOEC or no observed effect concentration for methanol).
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Light levels are measured at 15oC with a Microtox Model 500 Unit. The results are
expressed as a percentage of light output in the controls (water or 5% methanol) and
then ranked (Table 2).
Sediment bacterial populations are enumerated with a most probable number (MPN)
method (Carter, 1993). A one hundred fold dilution of the porewater or aqueous extract
is prepared with growth media (trypticase soy broth). This working solution is dispensed
into three wells of a 96 well microplate with a further ten fold dilution. The solutions in
these wells are then diluted one in ten six times in adjacent wells with media.
The bacterial density is rated from 1 to 5, depending on the extent of growth. A value of
5 is assigned to aqueous extracts of sediment with a large bacterial population (>106
bacteria/mL); lower values are assigned to extracts with less growth (fewer bacteria).
Fungal counts are performed on the porewater or water extract. A 0.1 mL aliquot of
porewater is plated onto a Rose-Bengal medium containing streptomycin (to prevent
bacterial growth). This medium is acidic, therefore favoring the growth of fungi. The
number and characteristics of colonies growing on the plates are recorded after seven
days of incubation at 25 ± 2oC.
The fungal counts are ranked 1 to 5, based on the number and diversity of colonies, as
well as the overall coverage of the plate. No growth is assigned a value of one. A few
colonies of the same type, with coverage of less than 15% is assigned two. Plates
ranked three have numerous colonies of the same type, with relative coverage of 15%
to 40%. A four is given to plates with numerous colonies of the same type with 40% to
75% coverage. Plates with greater than 75% coverage by numerous different types of
colonies are ranked five (Table 2). These high-ranking plates contained high densities of
fast growing, diverse fungi.
The bacterial growth test is done on the porewater or water extract and the methanol
extract. The methanol extract is tested at 5% (v/v) and the aqueous extracts at 80%
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(v/v). All tests are done in 96 well microplates with three replicates per sample. The
results are expressed as a percent of control growth based on the absorbance of a
tetrazoleum dye (forms a dark blue diformazan pigment when enzymatically reduced).
2.2.2 Plants
The plant growth tests were done with a terrestrial plant, a floating microphyte and a
unicellular green alga. The floating microphyte and alga are both common aquatic plants
found in most freshwater systems.
Germination and root elongation in a terrestrial plant are rapid and sensitive methods for
detecting the presence of potentially harmful substances present in the sediments. The
root is composed of a population of cells that are reproducing enlarging. The cells in the
root also provide a conduit for absorption and transport of water and nutrients. Although
simple, germination and root growth can provide insight on a number of important
processes affecting plant establishment and performance. The results from the seed
test can also be extrapolated to assessing potential effects on shoreline vegetation.
Hence, the species for this trophic level cover all major compartments in aquatic
systems (sediment, water column, and shoreline).
Root elongation tests are conducted following the procedure of Greene et al. (1989).
Lettuce seed was chosen and is a standard plant species widely used in research and
for assessment of contaminated sites. Lettuce was selected based on size, sensitivity
and speed of response (germination and root growth). Ten seeds are placed on a
Whatman No. 3 filter paper in a 10 cm plastic Petri dish moistened with 4 mL of the
porewater or aqueous extract or the methanol extract (1% methanol - the highest
methanol concentration that has no adverse effect on germination and root growth).
The dishes are capped with lids, sealed with Parafilm and incubated at 23 ± 2oC in
darkness for five days. Seeds with root tips emerging or with a split seed coat are
considered germinated. Lettuce root lengths (hypocotyl) are measured from the root tip
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to the base of the shoot (epicotyl). The transition between the root and shoot of lettuce
seeds is clearly defined by a sharp bend. The results are expressed as a mean percent
of controls before ranking (Table 2).
Duckweed is a common, fast growing plant found in ponds worldwide. This plant is fed
upon by fish and birds hence a pathway for contaminants from sediments to higher
trophic levels. The test is done with 10 mL volumes; the methanol extracts are diluted to
10% for testing. The solutions are placed into a 40 mL clear plastic cups. One three
frond plant is placed into each cup and growth is scored after a seven day incubation at
4000 ± 400 lux; 25 ± 2oC. Growth is based on the increase in frond number relative to
controls and ranked one to five (one representing toxicity and five representing no
toxicity; Table 2).
The algal growth inhibition test is done with the unicellular green alga Selenastrum
capricornutum (formerly Monoraphidium, Environment Canada, 1992). This species is
common to many freshwater lakes and ponds throughout North America and Europe.
The tests are performed on the porewater and methanol extracts supplemented with
nutrients. The methanol extracts are diluted to 0.1% with deionized water prior to testing
(this is the highest concentration of methanol that has no effect on algal growth). The
tests are conducted in 96 well microplates. Growth is assessed after a three day
incubation period under continuous light (4000 ± 400 lux; 25 ± 2oC) by an increase in
cell numbers (particle counts or turbidity).
Any substance or condition that is stressful will inhibit or retard growth, resulting in a
lower final cell density. Increases in final cell densities over the controls may result from
the presence of nutrients or other essential trace substances in the samples. The results
are expressed as a percent of controls, then ranked from 1 to 5. A high value (4-5)
indicates optimal growth, values less than three indicate growth inhibition (Table 2).
2.2.3 Invertebrates
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The invertebrate test species include the freshwater microcrustacean Daphnia magna,
and sediment organisms such as Hyalella azteca, Chironomus tentans, and Lumbriculus
sp. Other invertebrates can be included in the test battery as required. The water flea,
Daphnia magna is found throughout the world in freshwater systems. It is a standard
test species and it’s inclusion provides a means to benchmark effects.
Tests with the sediment dwelling organisms are done on the sediment, porewater or
aqueous extract and the methanol extract (tested at 5%, NOEC for methanol). The tests
are conducted with 20 mL sample volumes in 40 mL plastic containers. The tests on the
sediment are done with laboratory dilution water. Five organisms are placed into each
container, and mortality scored after four days incubation at 25oC with an 8 hour dark
and 16 hour light photoperiod (intensity at the water surface of 800 lux).
The tests with Daphnia magna are done in 40 mL cups under the same conditions. The
results are expressed as a percent of control survival and ranked from one to five (Table
2).
2.2.4 Vertebrate Testing
Fish are an integral part of the aquatic systems. They feed on plants and invertebrates
and are preyed upon by other fish, birds and mammals. The tests are done with larval
fathead minnows. This is a standard test species and allows benchmarking of effects.
The larval stage is also considered the most sensitive of fish development. The tests are
done under the same conditions as the invertebrate tests.
2.2.5 Other Testing Endpoints
Other tests can be included in the sediment health quotient as required. They may
include tests for mutagens, bioaccumulation, biomagnification, genetic diversity, bio-
diversity, community processes, hormonally active substances, or whatever is of interest
from an ecological or human health perspective. The method would be modified to
permit ranking from 1 to 5.
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2.3 Quality Assurance
A number of quality assurance procedures are incorporated into the study design.
These procedures are in addition to those routinely followed as part of HydroQual’s
Quality System. Specific procedures include the use of positive controls (reference
toxicants), negative controls and replicates.
Reference toxicants are positive controls for assessing the health, condition and
sensitivities of the test populations. When test organisms are exposed to the reference
toxicant, the test result or response must fall within predefined limits. Values outside
these limits can indicate a change in the sensitivity of the organism or change in test
conditions.
Reference toxicants also provide a means to benchmark test results for comparison to
other studies and species. The reference toxicant test results are expressed as the
concentration required giving a 50% change in the response measured, relative to
controls (IC50, inhibitory concentration; EC50, effective concentration; LC50, lethal
concentration).
A negative control is a treatment that does not have an effect on the test organism (a
baseline or laboratory control). The response in the negative controls must not exceed a
predefined response level for a test to be considered valid. It should be noted that the
test data are all generally expressed as a percent of controls (normalized relative to the
test controls).
Duplicate tests are performed on every tenth sample, and for some tests multiple
replicates are set up on all samples (seedling emergence and fungal counts). The
accuracy and precision of the testing procedures are monitored by including extra
replicates within a test and repeating tests on selected sediments.
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The last element in the quality system is the reporting of data. All data are independently
reviewed and verified by the Quality Assurance Unit.
3.0 Reporting Formats
The results are compiled in a formatted Excel workbook. The workbook contains six
worksheets with the following information:
1. physical and chemical characteristics
2. sediment test data
3. porewater test data
4. methanol extract test data
5. summary data sheet
6. sediment health ratings
The test data are entered into the appropriate worksheet and the results ranked (scale
of 1 to 5). The rankings are summarized in one sheet. The rank for each trophic level
and overall sediment health quotient are then summarized in the final sheet.
The first four worksheets are appended to the test report. The summary data sheet and
sediment health ratings are tables in the report (assigned numbers 3 and 4
respectively).
Copies of all worksheets are appended.
4.0 Interpretive Guide
The Sediment Health Quotient tests were designed to provide a measure of the
biological health and condition of sediment. The results must be interpreted in light of
other test results and sample information. It is more important to seek consistent, logical
trends in the data, rather than absolutes. Relative effects and patterns in the toxicity
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tests must also be interpreted in light of sample location and any chemical data that may
be available. For example, sediment organisms are not only sensitive to major
contaminant types, but can be affected by sediment pH, texture, organic content, and
the particle size distribution.
Consistent results must be obtained amongst the tests within each trophic level. For
example, sediments with high numbers of bacteria and fungi should be non-toxic to
bacterial luminescence. The survival and growth results for sediment organisms should
be consistent with different species. Differences may arise due to factors affecting water
availability in the tests on the solid phase (sediment).
All test results are normalized on a scale from 1 to 5. Five is non-toxic or the response
was not different from controls. A lower value is assigned to sediments or extracts that
are toxic. The following approach is recommended for interpreting the results based on
the overall sediment health quotient.
• sediment health quotient of 4 to 5: healthy sediment with high ecological potential
⇒ no further assessment required
• sediment health quotient of 2 to 3: slight but significant impairment
⇒ review trophic level ratings
• one sensitive level
∗ review species ratings
• one species overly sensitive
• could be species specific effects; review
physical and chemical data in light of species
tolerance limits
• all species equally sensitive
• review physical and chemical data for potentially
adverse factor(s) common to all species
• all levels equally sensitive
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∗ review physical and chemical data for potentially adverse
factor(s) common to all species
• sediment health quotient of 1: impaired with low ecological potential
⇒ review physical and chemical data for potentially adverse factor(s) common to
all species across trophic levels; sediments with these ratings will have either
high contaminant levels or physical and chemical properties outside of the
physiological tolerances of the test organisms
The patterns in the test data can provide insight on the nature of what is causing the
effect. An adverse response or low rating with one or two species may occur and can
often be explained in light of species specific tolerances. Effects detected amongst all
species within one trophic level but not in other levels can indicate the presence of very
specific types of contaminants (for example, phytotoxins that differentially affect plants).
Effects detected across trophic levels indicate the presence of combinations of
contaminants or unsuitable sediment conditions. These types of results require further
assessment based on available physical and chemical data and information about the
site.
The level of effort required to interpret the findings is determined by the overall sediment
quotient, followed by the pattern in trophic level ratings, and then by effects on individual
species. The final interpretation must include relevant information on the physical and
chemical properties of the sediment in light of an appropriate background condition, i.e.
a control site.
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Sample Calculation: The following example is provided for illustrative purposes. The results are grouped by tests done on sediments, porewater and methanol extracts. Each result is ranked or scored from 1 to 5 based on the criteria in Table 2. The averages for each trophic level within each group (sediments, porewater and methanol extracts) are then calculated (right column). An overall trophic level rank is derived followed by a sediment health quotient or rating (bottom of table). Test Result Rank Average Sediments • Invertebrates: Lumbriculus 100% 5 = 5 Porewater • Microbes = (3+4+5+3) / 4 = 4 Bacterial counts 105 3 Bacterial luminescence 67 4 SOS-Chromotest 5 5 Fungal counts 3 3 • Plants = (5+5+4) / 3 = 5 Algal growth 84% 5
Root elongation: (lettuce) 89% 5 Duckweed growth 73% 4 • Invertebrates : Lumbriculus survival 100% 5 = (5+5+4) / 3 = 5 Chironomus survival 100% 5 Daphnia survival 75% 4 • Vertebrates Fathead Minnow survival 100% 5 = 5 Methanol Extracts • Microbes = (5+5) / 2 = 5 Bacterial luminescence 90 5 SOS-Chromotest 5 5 • Plants = (4+3+5+5) / 4 = 4 Algal growth 75% 4 Root elongation: (lettuce) 58% 3 • Invertebrates : Lumbriculus survival 100% 5 = (5+5+4) / 3 = 5 Chironomus survival 100% 5 Daphnia survival 75% 4 • Vertebrates Fathead Minnow survival 100% 5 = 5
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Average ranks per trophic level for each group of tests are summarized below.
Trophic Sediment Porewater Methanol Trophic Level Rank Level (untreated) Extract (from above) Microbes 4 5 = (4+5) / 2 = 4.5 Plants 5 4 = (5+4) / 2 = 4.5 Invertebrates 5 5 5 = (5+5+5) / 3 = 5 Vertebrates 5 5 = (5+5) / 2 = 5 A sediment health quotient for the sample is the average of the Trophic Level scores
Sediment health quotient (SHQ) = (4.5+4.5+5+5) / 4 = 5
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4.0 General References
American Society of Testing and Materials. 1996a. Standard Guide for Conducting a
Laboratory Soils Toxicity Test with Lumbricid Earthworm Eisenia foetida. E1676-95.
ASTM vol. 11.05
American Society of Testing and Materials. 1996b. Standard Practice for Conducting
Early Seedling Growth Tests. E1598-94 vol. 11.05.
Burton, G., 1992. Sediment Toxicity Assessment. Lewis Publishers, Chelsea, MI.
Environment Canada. 1999. Biological Test Method: Test for Measuring the Inhibition of
Growth Using the Freshwater Macrophyte, Lemna minor, EPS1/RM/37.
Environment Canada. 1992a. Biological Test Method: Growth Inhibition Test Using the
Freshwater Alga Selenastrum capricornutum, EPS1/RM/25.
Environment Canada. 1997. Biological Test Method: Test for Survival and Growth in
Sediment Using the Freshwater Amphipod Hyalella azteca, EPS1/RM/33.
Environment Canada. 1992a. Biological Test Method: Test for Survival and Growth in
Sediment Using the Larvae of Freshwater Midges, EPS1/RM/32.
Environment Canada. 1992b. Biological Test Method: Toxicity Test using Luminescent
Bacteria (Vibrio fischeri), EPS 1/RM/24.
Carter, M.R., 1993. Soil Sampling and Methods of Analysis. Lewis Publishers, Boca
Raton.
Gorsuch, J., W. Lower, M. Lewis, W. Wang, 1991. Plants for Toxicity Assessment:
Second Volume. American Society for Testing and Materials, Philadelphia.
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Greene, J.C., C.L. Bartels, W.J. Warren-Hicks, B.R. Parkhurst, G.L. Linder, S.A.
Peterson, and W.E. Miller. 1989. Protocol for Short Term Toxicity Screening of
Hazardous Waste Sites, EPA/3-88-029.
Landis, W., Yu, M., 1999. Introduction to Environmental Toxicology. Lewis Publishers,
Boca Raton.
Legault, R., C. Blaise, D. Rokosh, and R. Chong-Kit, 1994. Comparative Assessment of
the SOS-Chromotest Kit and the Mutatox Test with the Salmonella Plate Incorporation
(Ames Test) and Fluctuation Tests for Screening Genotoxic Agents. Environmental
Toxicology and Water Quality: An International Journal, Vol. 9 (1994) 45-57. John
Wiley & Sons, Inc.
Newman, M., 1998. Fundamentals of Ecotoxicology. Ann Arbor Press, Chelsea, MI.
Organization for Economic Cooperation and Development. OECD Guidelines for the
Testing of Chemicals, 1993. Method 203. Terrestrial Plants Growth Test. Paris.
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6.0 Tables
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Table 1. Summary of Test Methods
Trophic Level Test Reference
Microbes bacterial luminescence Environment Canada, 1992b total heterotrophic bacteria Carter, 1993 fungal enumerations Carter, 1993
Plants algal growth Environment Canada, 1992a Duckweed growth HydroQual Laboratories Ltd. root elongation Greene et al., 1989
Invertebrates Sediment organisms HydroQual Laboratories Ltd. Daphnia survival HydroQual Laboratories Ltd.
Vertebrates Fathead minnow survival HydroQual Laboratories Ltd.
Human Health SOS-Chromotest HydroQual Laboratories Ltd.
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Table 2. Ranking Criteria for Test Results
Test Endpointnon toxic marginal mild moderate toxic
5 4 3 2 1
sediment organism survival survival >80% 60-80% 40-59% 20-39% <19%
bacterial luminescence reduction in light production >80% 60-80% 40-59% 20-39% <19%total heterotrophic bacteria growth in highest dilution of extract >106 106 105 104 103
fungal enumerations coverage of plate >75% 40-75% 15-40% <15% nonenumber and diversity of colonies high same type same type same type
SOS-chromotest Induction –S9 <2 2-3.9 4-5.9 6-7.9 >8SOS chromotest Induction +S9 <1.5 1.5-2 2.1-2.5 2.6-3 >3algal growth cell number based on optical density >80% 60-80% 40-59% 20-39% <19%duckweed survival frond growth >80% 60-80% 40-59% 20-39% <19%root elongation root length (compared to controls) >80% 60-80% 40-59% 20-39% <19%
daphnid survival survival >80% 60-80% 40-59% 20-39% <19%
fathead minnow survival survival >80% 60-80% 40-59% 20-39% <19%
Rank
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7.0 Figures
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Figure 1. Flow Chart for Processing Test Sediments
Sediment
Solid Phase Aqueous Extract Methanol Extract
bacterial enumeration bacterial luminescencesediment organism survival fungal enumeration SOS chromotest
bacterial luminescence fathead minnow survivalduckweed survival algal growthdaphnid survival daphnid survival
SOS choromotestalgal growth
fathead minnow suvival
sediment organism survivalsediment organism survival
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8.0 Appendices
Data Compilation Tables and Reporting Formats
The data collected on each batch of samples are reported in seven separate tables. The
test data are reported on Tables A to D (bench sheets) and the resultssummarized in
Tables 1 and 2.
Table
1. Sediment Health Ratings and Quotient
2. Test Results Summary
a. Physical and Chemical Characterization of Test Sediment
b. Sediment Test Data
c. Porewater Test Data
d. Methanol Extract Test Data