Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Terrestrial Ecosystem Exposure Assessment Model (TEEAM).
Author Dean, J. D. ; Voos, K. A. ; Schanz, R. W. ; Popenuck, B. P. ;
CORP Author Woodward-Clyde Consultants, Oakland, CA.;Environmental Research Lab., Athens, GA.
Publisher Aug 89
Year Published 1989
Report Number EPA-68-03-6304; EPA/600/03-88/038;
Stock Number PB90-119959
Additional Subjects Computerized simulation ; Organic compounds ; Wildlife ; Environmental surveys ; Pesticides ; Regulations ; Concentration(Composition) ; Monte Carlo method ; Water pollution ; Air pollution ; Plants(Botany) ; Terrestrial ecosystems ; Toxic substances ; Biological effects ; Land pollution ; Food chain ; Bioaccumulation
Library Call Number Additional Info Location Last
NTIS  PB90-119959 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 03/10/1990
Collation 401p
The Terrestrial Ecosystem Exposure Assessment Model is a computer code that simulates toxic organic chemical exposures to wildlife. The approach was to build a code generally applicable to a diverse range of terrestrial ecosystems that could be parameterized to represent various ecosystem types. The initial focus, however, was on pesticide exposure to small and medium-size birds in agricultural settings. Using TEEAM, the environmental analyst can compute the probability of wildlife exposure in evaluating the registration or regulation of pesticides. The model, which consists of seven computational modules, simulates the environmental concentrations of pesticides in air, ephemeral surface ponds, soil, soil water and soil gas, plant roots and aboveground plant biomass, and animals in the food chain. These media serve as vectors for end-point species exposure to pesticides. The model computes both toxicant loadings to, and whole body concentrations in, the end-point species. To compute the probability of wildlife exposures to these environmental concentrations, the model is equipped with a Monte Carlo pre- and post-processing capability. The model documentation contains a discussion of model theory, code installation and execution, parameter guidance and programmer's-level model description. Also described is ATTEAM, a simplified analytical version of the food chain portion of the model.