Environmental Engineering Reference
In-Depth Information
from surrogate species to derive criteria. Utilizing partition coefficients, criteria may be
harmonized across media to ensure that levels set to protect one compartment do not
result in unacceptable levels in other compartments.
Several methodologies derive criteria from entire data sets through the use of
statistical extrapolations; other methods utilize only the lowest (most sensitive) data
point or points. Utilization of entire data sets allows derivation of confidence limits
for criteria, and encourages data generation.
Criteria derivation methodologies have improved over the past two decades as
they have incorporated more ecological risk assessment techniques. No single
existing methodology is ideal, but elements of several may be combined, and when
used with newer risk assessment tools, will produce more usable and flexible criteria
derivation procedures that are protective.
Acknowledgments We thank the following reviewers: Lawrence R. Curtis (Oregon State
University), Brian Finlayson (California Department of Fish and Game), Evan P. Gallagher
(University of Washington), John P. Knezovich (Lawrence Livermore National Laboratory), and
Marshall Lee (California Department of Pesticide Regulation). This project was funded through a
contract with the Central Valley RWQCB. Mention of specific products, policies, or procedures
does not represent endorsement by the Regional Board. The contents also do not necessarily
reflect the views or policies of the USEPA nor does mention of trade names or commercial products
constitute endorsement or recommendation for use.
References
Alabaster JS, Lloyd R (1982) Water quality criteria for freshwater fish. Butterworth Scientific,
Surrey, UK, pp 253-314.
Aldenberg T, Jaworska JS (2000) Uncertainty of the hazardous concentration and fraction affected
for normal species sensitivity distributions. Ecotox Environ Saf 46: 1-18.
Aldenberg T, Slob W (1993) Confidence limits for hazardous concentrations based on logistically
distributed NOEC toxicity data. Ecotox Environ Saf 25: 48-63.
Aldenberg T, Luttik R (2002) Extrapolation factors for tiny toxicity data sets from species sensitivity
distributions with known standard deviation. In: Species Sensitivity Distributions in Ecotoxicology.
Posthuma L, Suter IIGW, Traas TP (eds), Lewis Publishers, CRC Press, New York, NY.
ANZECC and ARMCANZ (2000) Australian and New Zealand guidelines for fresh and marine
water quality. Australian and New Zealand Environment and Conservation Council and
Agriculture and Resource management Council of Australia and New Zealand, Canberra,
Australia.
Applegate JS (2000) The precautionary preference: An American perspective on the precautionary
principle. Human Ecol Risk Assess 6: 413-443.
AQUIRE (1981-present) AQUIRE database. US Environmental Protection Agency. Available
through ECOTOX at http://www.epa.gov/ecotox/.
AQUIRE (Aquatic Toxicity Information Retrieval Database) (1994) AQUIRE standard operat-
ing procedures. USEPA, Washington, DC.
Auer CM, Nabholz JV, Baetcke KP (1990) Mode of action and the assessment of chemical hazards
in the presence of limited data: Use of Structure-Activity Relationships (SAR) under TSCA,
Section 5. Environ Health Perspect 87: 183-197.
Bailey HC, Deanovic L, Reyes E, Kimball T, Larson K, Cortright K, Connor V, Hinton DE (2000)
Diazinon and chlorpyrifos in urban waterways in Northern California, USA. Environ Toxicol
Chem 19: 82-87.
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