Record Display for the EPA National Library Catalog


Main Title A prototype toxicity factors model for site-specific copper water quality criteria /
Author Erickson, Russell J.
Other Authors
Author Title of a Work
Benoit, Duane A.
Mattson, Vincent R.
Publisher U.S. Environmental Protection Agency, Environmental Research Laboratory-Duluth,
Year Published 1996
Report Number EPA 600-X-87-290
OCLC Number 660057964
Subjects Copper--Toxicity testing ; Copper--Toxicology ; Water quality--Measurement ; Fathead minnow ; Fishes--Effect of water pollution on
Library Call Number Additional Info Location Last
EJBD  EPA 600-X-87-290 Headquarters Library/Washington,DC 09/08/2010
ELBD ARCHIVE EPA 600-X-87-290 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ELBD  EPA 600-X-87-290 AWBERC Library/Cincinnati,OH 09/12/2023
ELDD  EPA 600-X-87-290 CCTE/GLTED Library/Duluth,MN 03/16/2023
Edition Rev.
Collation 30 leaves : charts ; 28 cm
Cover title. "August 20, 1987 (revised September 5, 1996)"--Beneath title. Includes bibliographical references (leaves 29-30).
Contents Notes
"The effects of suspended solids, dissolved organic matter, pH, temperature, and major inorganic cations (Cap2s, Mgp+2s, Nap+s, Kp+s) and anions (HCOb3p-s, Clp-s, SOb4p-2s) on the lethality of copper sulfate to larval fathead minnows were investigated. Increases in all these parameters, except potassium salts, were found to increase LC50s (decrease toxicity) on the basis of total copper. Empirical models were developed for the dependence of LC50s on seven 'toxicity factors' - dissolved organic matter, suspended solids, temperature, pH, and three factors involving variation of major inorganic cations and anions. These models were combined to predict the toxicity of copper to larval fathead minnows as a function of water chemistry. This work demonstrated the importance of these factors to copper toxicity and the feasibility of developing mathematical models for predicting toxicity as a function of water chemistry. Validation and further refinement of these models would provide improved methods for establishing and applying water quality criteria."--Abstract.