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Title: Modeling toxicity due to intermittent exposure of rainbow trout and common shiners to monochloramine

Journal Article · · Environmental Toxicology and Chemistry; (United States)
;  [1];  [2]; ;  [3]
  1. Univ. of Wyoming, Laramie, WY (United States). Dept. of Zoology and Physiology
  2. Woodward-Clyde Consultants, Franklin, TN (United States)
  3. Great Lakes Research Facility, Milwaukee, WI (United States). Center for Great Lakes Studies

The authors evaluated the ability of three mathematical models to predict toxicity to common shiners and rainbow trout during intermittent (pulsed) exposures to monochloramine, based on data from continuous-exposure toxicity tests. If a power term for the exposure-water concentration was included in the models, a concentration x time (Cxt) model and the Mancini uptake-depuration model predicted pulse LC50s to within [+-]50% of the observed pulse LC50s, for the first four pulses in toxicity tests with 2-h pulse/22-h recovery cycles. Beyond the fourth pulse cycle, though, the pulse LC50s predicted using the Cxt model appeared to diverge considerably from the trend of the experimental pulse LC50s, partly because this model does not predict an incipient lethal level (C[sub ILL]) for either continuous or intermittent exposures. The Mancini model predicted the C[sub ILL] moderately well in the common shiner intermittent-exposure test but not in the rainbow trout intermittent-exposure test. The Breck three-dimensional damage-repair model did not predict pulse LC50 or C[sub ILL] values as well as did the other two models, probably because not enough partial-mortality data were available to parameterize the model adequately. Although the underlying processes appear to be more complex than what these simple models assume, the models may still be adequate for use in regulating a few pulse discharges of monochloramine.

OSTI ID:
6517759
Journal Information:
Environmental Toxicology and Chemistry; (United States), Vol. 14:1; ISSN 0730-7268
Country of Publication:
United States
Language:
English