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Water 2017, 9(6), 414; doi:10.3390/w9060414

Inexact Two-Stage Stochastic Programming for Water Resources Allocation under Considering Demand Uncertainties and Response—A Case Study of Tianjin, China

1
Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing 100124, China
2
Polytech Nice Sophia, Ploytech Lab, University Nice Sophia Antipolis, 930 Route de Colles, 06903 Sophia Antipolis, France
3
Yingda Taihe Property Insurance Co., LTD., Beijing 100005, China
4
Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada
5
School of Energy and Environmental Engineering, University of Science & Technology, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ashok K. Chapagain
Received: 25 April 2017 / Revised: 25 May 2017 / Accepted: 2 June 2017 / Published: 9 June 2017
(This article belongs to the Special Issue Modeling of Water Systems)
View Full-Text   |   Download PDF [1215 KB, uploaded 9 June 2017]   |  

Abstract

In this paper, an inexact two-stage stochastic programming model was developed for supporting regional water resource allocation management under uncertainties. The proposed model is an integrated framework of interval parameter programming and two-stage stochastic programming, which can tackle uncertain parameters expressed as interval values with probability distribution information. The proposed model was successfully applied to a typical heavy industrial city suffering water shortage in the east of China, Tianjin. The uncertainties of future water demand were taken into account through generating a set of representative scenarios. The results indicated that different scenarios would affect the water distribution patterns, water shortages, total benefits and system cost. The results revealed that the transferred water from Luan River and Changjiang River would still be the main water resource for each water user. Besides, nearly all water demand in planning horizon would be guaranteed through the reasonable dispatch except under high demand level scenario, in which a small proportion of water requirement in agricultural, municipal and environmental sectors would not be satisfied. The developed method could be used by environmental managers to identify the optimal water supply plan from multiple sources to different end-user sectors under system uncertainties. View Full-Text
Keywords: water resources allocation; optimization; inexact two-stage stochastic programming; uncertainty water resources allocation; optimization; inexact two-stage stochastic programming; uncertainty
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Ji, L.; Sun, P.; Ma, Q.; Jiang, N.; Huang, G.-H.; Xie, Y.-L. Inexact Two-Stage Stochastic Programming for Water Resources Allocation under Considering Demand Uncertainties and Response—A Case Study of Tianjin, China. Water 2017, 9, 414.

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