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RELIABILITY AND ECONOMIC OPTIMIZATION FOR URBAN RETURN FLOWS MANAGEMENT 1
Author(s) -
Shih Chia Shun,
Garner Joseph K.,
Curry Guy L.
Publication year - 1974
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.1752-1688.1974.tb00544.x
Subject(s) - reliability (semiconductor) , computer science , probabilistic logic , risk analysis (engineering) , water resources , control (management) , reliability engineering , minification , quality (philosophy) , liability , environmental economics , operations research , environmental science , business , engineering , economics , ecology , power (physics) , philosophy , physics , epistemology , finance , quantum mechanics , artificial intelligence , biology , programming language
The reduction of the liability of pollution to urban water resources is considered as one of the common goals of all elements of our society. To approach the challenge with a sense of realism the probabilistic nature of the performance of pollution control facilities as well as environmental responses must not be ignored and cannot be eliminated. Reliability is defined herein as the measure of effectiveness for the attainment of water quality managerial goals. The objective of this paper is to develop an optimization model for the determination of the best pollution control policies for each treatment facility in terms of the minimization of total regional cost requirements, the quality control requirements, and the reliability desired. A chance‐constrained quadratic programming technique coupled with parametric analysis is utilized as the basic solution approach. A practical problem based on the situation existing in the San Antonio River Basin Region of Texas was used for the illustration of this application. The implications resulting from the sensitivity analysis of this model will be discussed.