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Inexact stochastic dynamic programming method and...
Journal article

Inexact stochastic dynamic programming method and application to water resources management in Shandong China under uncertainty

Abstract

In this study, an interval parameter multistage joint-probability programming (IMJP) approach has been developed to deal with water resources allocation under uncertainty. The IMJP can be used not only to deal with uncertainties in terms of joint-probability and intervals, but also to examine the risk of violating joint probabilistic constraints in the context of multistage. The proposed model can handle the economic expenditure caused by …

Authors

Gu JJ; Guo P; Huang GH

Journal

Stochastic Environmental Research and Risk Assessment, Vol. 27, No. 5, pp. 1207–1219

Publisher

Springer Nature

Publication Date

July 2013

DOI

10.1007/s00477-012-0657-y

ISSN

1436-3240

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