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Sun, Kai, Gary F. Krause, Foster L. Mayer, Jr., Mark R. Ellersieck and Asit P. Basu. 1995. Predicting Chronic Lethality of Chemicals to Fishes from Acute Toxicity Test Data: Theory of Accelerated Life Testing. Environ. Toxicol. Chem. 14(10):1745-1752. (ERL,GB 904).

A method for modeling aquatic toxicity data based on the theory of accelerated life testing and a procedure for maximum likelihood fitting the proposed model is presented. The procedure is computerized as software which can predict chronic lethality of chemicals using data from acute toxicity tests. A data base of a variety of chemicals and fish species was analyzed. When the calculated values of prediction were compared to the maximum acceptable toxicant concentrations obtained from actual chronic toxicity experiments, the new technique provided accurate predictions. Problems in using the "maximum acceptable toxicant concentration" and applications of the proposed method are discussed.

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