Record Display for the EPA National Library Catalog


Main Title Calculation of the final acute value for water quality criteria for aquatic organisms /
Author Erickson, R. J.
CORP Author Wisconsin Univ.-Superior. Center for Lake Superior Environmental Studies.;Environmental Research Lab.-Duluth, MN.
Publisher Wisconsin Univ.-Superior. Center for Lake Superior Environmental Studies ;
Year Published 1988
Report Number PB88-214994; EPA/600/3-88/018
Stock Number PB88-214994
OCLC Number 45402431
Subjects Aquatic organisms--Effect of water pollution on ; Water quality--Measurement ; Acute toxicity testing
Additional Subjects Toxicity ; Concentration(Composition) ; Contaminants ; Samples ; Statistical analysis ; Ecology ; Water quality criteria ; Aquatic organisms ; Final acute value
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EKCD  EPA/600/3-88/018 CEMM/GEMMD Library/Gulf Breeze,FL 07/17/2018
ELBD ARCHIVE EPA 600-3-88-018 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ELBD  EPA 600-3-88-018 AWBERC Library/Cincinnati,OH 05/18/2001
ELDD  EPA/600/3-88/018 CCTE/GLTED Library/Duluth,MN 01/18/2006
ESAD  EPA 600-3-88-018 Region 10 Library/Seattle,WA 12/01/2000
NTIS  PB88-214994 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 63 pages ; 28 cm
The Final Acute Value (FAV) for a material, which is an integral part of the procedure for deriving water quality criteria for aquatic organisms, is an estimate of the fifth percentile of a statistical population represented by the set of Mean Acute Values (MAV) available for the material, a MAV being the concentration of the material that causes a specified level of acute toxicity to aquatic organisms in some taxonomic group. A new procedure for calculating FAVs has been developed under the assumption that sets of MAVs are random samples of such populations. Based on examination of available sets of MAVs, it was inferred that FAV estimation would be best served by assuming that the populations have a log triangular distribution. Also, because this or any other assumption will likely not completely hold over the entire range of data in all sets, it was judged that FAV estimation should be based on subset of the data near the fifth percentile. Major modifications of the new procedure were found to result either in only minor changes in FAVs or in FAVs at variance with the data.
"June 1988."