Physiologically Structured Population Models in Risk Assessment

Thomas G. Hallam, Ray R. Lassiter, Jia Li and William McKinney
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Thomas G. Hallam: University of Tennessee, Department of Mathematics and Graduate Program in Ecology
Ray R. Lassiter: U.S. Environmental Protection Agency, Environmental Research Laboratory
Jia Li: University of Tennessee, Department of Mathematics
William McKinney: University of Tennessee, Department of Mathematics

A chapter in Biomathematics and Related Computational Problems, 1988, pp 197-211 from Springer

Abstract: Abstract Perturbations of population structure due to toxic chemical exposure are studied by employing a mathematical model. The risk assessment scheme is composed of an individual model, an exposure model, and a population model. The differential equation model of an individual has components chosen by chemical affinity to organism phase and is based upon energy budget principles. These individual dynamics are integrated into a population model of McKendrick-von Foerster type. The exposure model is employed to determine concentration of toxicant in the individual organism. Individual mortality is assessed by employing LD-50 bioassays; then, effects on the population are determined from the perturbed population model.

Keywords: Risk Assessment; Population Model; Exposure Model; Differential Equation Model; Renewal Equation (search for similar items in EconPapers)
Date: 1988
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DOI: 10.1007/978-94-009-2975-3_18

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