Use of Many-Objective Visual Analytics to Analyze Water Supply Objective Trade-Offs with Water Transfer
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 8
Abstract
The construction of water transfer projects can have a considerable impact on the operation of the receiving reservoir. This study investigates the change of the objective trade-offs in multiobjective reservoir operation problems due to the introduction of water transfer using a case study of the east-to-west water transfer project in northeastern China. Two optimization cases are constructed to analyze the trade-off changes: a base case with no water transfer that considers four objectives, i.e., minimizing industry water shortage, minimizing agriculture water shortage, minimizing water spillage, and maximizing ecological satisfaction; and a future postconstruction case that considers an additional objective to minimize the amount of water transferred. Results obtained from the case study show increasing water transfer substantially reduces the intensity of the competition between industrial and agricultural water shortages, and the objective trade-offs among water spillage, ecological satisfaction, and agricultural shortage index are substantially changed because of water transfer. In addition, the amount of water transferred with high efficiency regarding each objective is identified, and three solutions of different orders of magnitude in diverted water have been recommended for informed decision making considering efficiency and benefit. This study implies that many-objective visual analytics can be used to determine the optimal amount of water transferred in terms of water efficiency revealed in different objective trade-off spaces.
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Acknowledgments
This study was supported by the National Natural Science Foundation of China (Grant Nos. 51320105010, 51279021, and 51409043), and by the Ministry of Water Resources of China (Grant No. 201401014-2). The fourth author was partially supported by the Engineering and Physical Sciences Research Council (EPSRC) under the Building Resilience into Risk Management project (EP/N010329/1). The -NSGAII was provided by the MOEA Framework. The authors thank Dr. Joshua Kollat and Professor Patrick Reed for providing valuable assistance in the use of DecisionVis.
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Apr 26, 2016
Accepted: Mar 7, 2017
Published online: Jun 10, 2017
Published in print: Aug 1, 2017
Discussion open until: Nov 10, 2017
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