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OPTIMIZING NONPOINT SOURCE CONTROLS IN WATER QUALITY REGULATION 1
Author(s) -
Milon J. Walter
Publication year - 1987
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1987.tb00817.x
Subject(s) - nonpoint source pollution , effluent , water quality , environmental science , reliability (semiconductor) , watershed , water resource management , water pollution , control (management) , total maximum daily load , pollution , environmental engineering , computer science , chemistry , quantum mechanics , machine learning , artificial intelligence , ecology , power (physics) , physics , biology , environmental chemistry
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.