Abstract The waste load allocation (WLA) process is an important but complex part of decision-making in regional water quality management. The results of WLA have profound implications on regional environmental protection. It requires a sound understanding of the physical, chemical and biological processes of the aquatic environment and an appreciation for the legal, social, and environmental impacts of such decisions.
Most WLA processes are performed using either pollutant transport simulation models or deterministic optimization models. Only a few stochastic WLA models have been developed which treat either streamflow or background pollution as random variables to avoid nonlinearity in the model formulation so as to simplify the solution procedures.
This research is directed toward the development of an optimal stochastic waste load allocation model considering the uncertainty associated with physical, chemical and biological parameters in the transport equation for a complex multiple discharge setting. A general solution technique for solving the nonlinear WLA model, as a result of considering the overall uncertainty, will be developed. The result of this investigation is to expand the capability of performing WLA in a stochastic environment and to enhance the understanding of the tradeoffs between risk and economics, ultimately in order to develop a more effective and realistic decision-making process for the future.
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