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RECORD NUMBER: 83 OF 94

OLS Field Name OLS Field Data
Main Title Statistical approach to predicting chronic toxicity of chemicals to fishes from acute toxicity test data /
Author Mayer, Foster L. ; Krause, G. F. ; Ellersieck, M. R. ; Lee, G.
Other Authors
Author Title of a Work
Krause, Gary F.
Kilersieck, Mark R.
Lee, Gunhee.
CORP Author Environmental Research Lab., Gulf Breeze, FL. ;Missouri Agricultural Experiment Station, Columbia.
Publisher U.S. Environmental Protection Agency, Environmental Research Laboratory, Office of Research & Development,
Year Published 1992
Report Number EPA/600/R-92/091; EPA/SW/DK-92/047A
Stock Number PB92-169655
OCLC Number 45877986
Subjects Acute toxicity testing. ; Fishes--Effect of chemicals on.
Additional Subjects Water pollution effects ; Fishes ; Toxicity ; Chemical compounds ; Statistical analysis ; Documentation ; Exposure ; Concentration(Composition) ; Mortality ; Fishkill ; Growth stages ; Fish physiology ; Risk assessment ; Multifactor probit analysis
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=94001LRA.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA 600-R-92-091 Headquarters Library/Washington,DC 02/06/2017
NTIS  PB92-169655 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation vi, 94 pages : illustrations ; 28 cm
Abstract
A comprehensive approach to predicting chronic toxicity from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect. A consistent endpoint (lethality) and degree of response (0%) were used to compare acute and chronic tests. Predicted no-effect concentrations were highly accurate 92% of the time (within a factor of 2.0 of the limits of the maximum acceptable toxicant concentrations for lethality) and did not vary by more than a factor of 4.8 when the technique was applied to a data base of 18 chemicals and 7 fish species. Growth effects can be predicted from chronic lethality, but reproductive effects should not be.
Notes
Includes bibliographical references (page 61). Microfiche.