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

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  • B.J. Lence
  • A. Ruszczynski

Abstract

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.

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File URL: http://www.iiasa.ac.at/Publications/Documents/WP-96-066.pdf
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File URL: http://www.iiasa.ac.at/Publications/Documents/WP-96-066.ps
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Bibliographic Info

Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number wp96066.

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Date of creation: Jun 1996
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Handle: RePEc:wop:iasawp:wp96066

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  1. Beavis, Brian & Walker, Martin, 1979. "Interactive pollutants and joint abatement costs: Achieving water quality standards with effluent charges," Journal of Environmental Economics and Management, Elsevier, vol. 6(4), pages 275-286, December.
  2. V.I. Norkin & Y.M. Ermoliev & A. Ruszczynski, 1994. "On Optimal Allocation of Indivisibles Under Uncertainty," Working Papers wp94021, International Institute for Applied Systems Analysis.
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Cited by:
  1. K. Haeggloef, 1996. "The Implementation of the Stochastic Branch and Bound Method for Applications in River Basin Water Quality Management," Working Papers wp96089, International Institute for Applied Systems Analysis.

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