个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 副校长、党委常委
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:建设工程学院
学科:水文学及水资源. 人工智能. 计算机应用技术. 软件工程
办公地点:综合实验4号楼 411室
联系方式:0411-84708900
电子邮箱:czhang@dlut.edu.cn
Use of Many-Objective Visual Analytics to Analyze Water Supply Objective Trade-Offs with Water Transfer
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论文类型:期刊论文
发表时间:2017-08-01
发表刊物:JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
收录刊物:Scopus、SCIE、EI
卷号:143
期号:8
ISSN号:0733-9496
关键字:Many-objective optimization; Objective trade-offs; Reservoir operation; Visual analytics; Water efficiency; Water transfer
摘要: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. (C) 2017 American Society of Civil Engineers.