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Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of Tianjin, China

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Abstract

Environmental and ecological issues caused by water resources crisis have brought enormous challenges to the sustainable development of water-deficient area. Water resources allocation management balancing the relationship between the social-economic development and the ecological environment has become a hot topic in recent years. In this paper, an inexact fuzzy chance-constrained programming (IFCCP) approach is proposed for regional water resource allocation optimization with the aim of promoting the harmonious development of the social economic and the ecological environment, improving water utilization efficiency, and realizing water resources consumption control under uncertainties. The method is incorporated with interval parameter programming, fuzzy programming, and chance-constrained programming, for handling system uncertainties and balancing the optimal objectives with the risk of violating system constraints. Under this framework, an IFCCP model for water resources allocation management was successfully formulated and applied to a typical water-deficit area, Tianjin, China, for obtaining a better water resources plan among multiple users under resources and environmental limitation. Different total water consumption control policies are designed for assessing regional water allocation schemes. The results indicated that the gap of supply and demand will only be solved by foreign water, the transferred water from Luan River and Changjiang River would still be the main supplier in planning horizon. Moreover, the strict total water consumption control policy would guarantee the water requirement of ecological environment, lead to changes in the structure of water supply, actively guide on water conservation, and promote the large-scale utilization of desalted water and recycle water.

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Acknowledgements

The work is financial supported by Natural Science Foundation of Beijing Municipality (Grant No. 9174028) and National Natural Science Foundation of China (Grant Nos. 71603016 and U1765101). The authors are also grateful for the valuable comments of anonymous reviewers and editor, which help to improve the manuscript greatly.

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Authors and Affiliations

  1. Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing, 100124, China

    Ling Ji

  2. Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, SASK, S4S 0A2, Canada

    Guohe Huang

  3. Polytech Nice Sophia, Ploytech Lab, Nice Sophia Antipolis University, 930 Route de Colles, 06903, Sophia Antipolis, France

    Qiang Ma

Authors
  1. Ling Ji
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  2. Guohe Huang
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  3. Qiang Ma
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Correspondence to Ling Ji.

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Appendix

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Ji, L., Huang, G. & Ma, Q. Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of Tianjin, China. Stoch Environ Res Risk Assess 32, 3299–3315 (2018). https://doi.org/10.1007/s00477-018-1627-9

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