Record Display for the EPA National Library Catalog

RECORD NUMBER: 442 OF 959

OLS Field Name OLS Field Data
Main Title Fate of Chemicals in Aquatic Systems: Process Models and Computer Codes.
Author Burns, Lawrence A. ;
CORP Author Environmental Research Lab., Athens, GA.
Year Published 1983
Report Number EPA-600/D-83-067;
Stock Number PB83-225342
Additional Subjects Chemical compounds ; Mathematical models ; Water pollution ; Forecasting ; Concentration(Composition) ; Transport properties ; Pesticides ; Concentration(Composition) ; Photochemical reactions ; Sorption ; Photolysis ; Reaction kinetics ; Path of pollutants ; Computer applications ; Biological processes ; Bioaccumulation
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB83-225342 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 21p
Abstract
Aquatic fate models are designed to forecast the residual concentrations, dominant pathways, distributions among subsystems, and characteristic time scales of xenobiotic chemicals. Most are constructed as systems of differential equations organized around mass balances. The resulting computer codes are used as aids in chemical use and disposal evaluations; their primary function is to reduce complex chemical and environmental data sets to useful forms. Relevant chemical phenomena include direct and indirect photochemical reactions, hydrolytic processes, biotransformations, ionic speciation, and sorption. These phenomena include both reversible and irreversible processes, with a mixture of time scales ranging from the virtually instantaneous to the imperceptible, depending on the structure and reactivity of the chemical involved. Aquatic transport processes include hydrodynamic transport of dissolved materials, entrained transport of chemicals sorbed with particulates, volatilization, and exchange across the benthic boundary layer. The models combine chemical partitioning and rate constants with environmental driving forces, yielding a set of differential equations that can be analyzed to reveal chemical behavior as a function of time, space, and extrinsic chemical loadings.