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Multiobjective risks in reservoir operation
Author(s) -
Croley Thomas E.,
Raja Rao Kuchibotla N.
Publication year - 1979
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr015i004p00807
Subject(s) - mathematical optimization , constraint (computer aided design) , computer science , flood control , set (abstract data type) , a priori and a posteriori , flood myth , function (biology) , feasible region , multi objective optimization , operations research , engineering , mathematics , mechanical engineering , philosophy , theology , epistemology , evolutionary biology , biology , programming language
Reservoir operation objectives are considered by maximizing an objective function while maintaining various minimum values of a second objective in an optimization constraint. This is often referred to as the ϵ‐constraint approach; a priori estimates of objective worth are thereby eliminated. The constrained optimizations are repeated for many synthetic sequences of inputs to evaluate the risk associated with attainment of one objective for a given value of another objective. A trade‐off level for design of the reservoir operation rule is then subjectively selected based upon consideration of objective trade‐offs and their risks. An operation rule is estimated from the optimum decision set associated with the selected trade‐off level, by using Implicit Stochastic Optimization methods already available. These techniques are applied to the practical problem of the Coralville reservoir, near Iowa City, Iowa, for flood control and recreation operating purposes and resulting operation rules are compared to the existing operation rule.