A dual-interval fixed-mix stochastic programming method for water resources management under uncertainty

J. Liu, Y.P. Li, G.H. Huang and X.T. Zeng

Resources, Conservation & Recycling, 2014, vol. 88, issue C, 50-66

Abstract: In this study, a dual-interval fixed-mix stochastic programming (DFSP) method is developed for planning water resources management systems under uncertainty. DFSP incorporates interval-parameter programming (IPP) and fuzzy vertex analysis (FVA) within a fixed-mix stochastic programming (FSP) framework to address uncertain parameters described as probability distributions and dual intervals. It can also be used for analyzing various policy scenarios that are associated with different levels of economic consequences since penalties are exercised with recourse actions against any infeasibility. A real case for water resources management planning of Zhangweinan River Basin in China is then conducted for demonstrating the applicability of the developed DFSP method. Solutions in association with α-cut levels are generated by solving a set of deterministic submodels, which are useful for generating a range of decision alternatives under compound uncertainties. The results can help to identify desired water-allocation schemes for local sustainable development that the prerequisite water demand can be guaranteed when the available water resource is scarce.

Keywords: Stochastic program; Vertex analysis; Planning; Water resources; Agricultural development; Uncertainty (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921344914000962
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:recore:v:88:y:2014:i:c:p:50-66

DOI: 10.1016/j.resconrec.2014.04.010

Access Statistics for this article

Resources, Conservation & Recycling is currently edited by Ming Xu

More articles in Resources, Conservation & Recycling from Elsevier
Bibliographic data for series maintained by Kai Meng ().