Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4259 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4259 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/4259 archive 351 disk0/00/00/49/61 2016-01-15 02:07:53 2021-08-27 17:15:46 2016-01-15 02:07:53 monograph show 2 Lence B.J. 1644 Ruszczynski A. 1475 Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method pub iis_met iis_wat prog_opt The problem of water quality management under uncertain emission levels, reaction rates and pollutant transport is considered. Various performance measures: reliability, resiliency and vulnerability are taken into account. A general methodology for finding a cost-effective water quality management program is developed. The approach employs a new idea of the stochastic branch and bound method, which combines random estimates of the performance for subsets of decisions with iterative refinement of the most promising subsets. 1996-06 published WP-96-066 WP-96-066 10 1412 1544 public working_paper IIASA, Laxenburg, Austria 22 FALSE info:eu-repo/semantics/book