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OPTIMIZING NONPOINT SOURCE CONTROLS IN WATER QUALITY REGULATION1
Authors:J. Walter Milon
Abstract:ABSTRACT: A stochastic programming framework is developed to evaluate the economic implications of reliability criteria and multiple effluent controls on nonpoint source pollution. An integrated watershed simulation model is used to generate probability distributions for agricultural effluents in surface and ground water resulting from agricultural practices. Results from the planning model indicate that reliability and multiple effluent constraints significantly increase the cost of nonpoint controls but the effects vary by control alternative. The analysis indicates that an evaluation of multiple water quality objectives can be an important planning tool for designing nonpoint source controls for innovative programs to promote cost-effective water quality regulation.
Keywords:agricultural nonpoint source pollution  surface and ground water regulation  best management practices  effluent trading  cost-effectiveness  chance constrained programming
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