Multiobjective Stochastic Fractional Goal Programming Model for Water Resources Optimal Allocation among Industries
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 10
Abstract
This paper developed a multiobjective stochastic fractional goal programming (MOSFGP) model for optimal water resources allocation among industries based on analyses of water resources quantity, quality, and uncertainty. The model integrated chance constrained programming, fractional programming, and multiobjective goal programming. The developed model was then applied in a real-world case study. The developed MOSFGP has the following advantages: (1) the model deals with economic and social objectives simultaneously, thus reflecting the actual situation more realistically; (2) the model in fractional form can determine water resources use efficiency directly; (3) water quantity and water quality are coupled in the model; and (4) the model can generate different optimal schemes under different risk probabilities. Based on the results of the MOSFGP model, decision makers could use water resources efficiently and obtain higher economic and social benefits. The model is also of great significance to industrial structure optimization, which means adjusting the industrial structures on the basis of optimal water resources allocation schemes to achieve the goal of economic planning and sustainable development.
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Acknowledgments
This research was supported by the National Natural Science Foundation of China (No. 41271536, 51321001).
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 10 • October 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Oct 12, 2015
Accepted: Mar 15, 2016
Published online: Jun 6, 2016
Published in print: Oct 1, 2016
Discussion open until: Nov 6, 2016
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