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APPLICATIONS OF DECISION THEORY TECHNIQUES IN AIR POLLUTION MODELING
Citation:
Lamb, R. AND S. Hati. APPLICATIONS OF DECISION THEORY TECHNIQUES IN AIR POLLUTION MODELING. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/3-86/036 (NTIS PB86216793).
Description:
The study applies methods of operations research to two basic areas of air pollution modeling: (1) the generation of wind fields for use in models of regional scale transport, diffusion and chemistry; and (2) the application of models in studies of optimal pollution control strategies. The work is illustrated in the context of a hypothetical problem in which optimal sites and emissions control plans are sought for two new power plants. The study addresses all aspects of the problem starting with stochastic specification of the wind fields in the region of interest, proceeding to the development of simple models that relate pollutant emissions to both short and long term averaged concentration, and concluding with the incorporation of game theory concepts into mathematical methods of finding optimum solutions to multi-objective problems. Five objectives are considered in the study: minimization of plant operating cost, and minimization of given short period maximum and long-period averaged concentrations of each of two pollutants. The optimization procedure attempts to fulfill these objectives jointly while maintaining compliance with specified constraints on the overall system.