An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin

doi:10.1016/j.jhydrol.018.02.033

	An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin
	Yu, Sen; Lu, Hongwei
刊名	JOURNAL OF HYDROLOGY
	2018-04-01
卷号	559 页码:156-165
关键词	Projection pursuit model Grey wolf optimization Optimization allocation Transboundary river basins Songhua River basin
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.018.02.033
通讯作者	Lu, Hongwei(luhw@igsnrr.ac.cn)
英文摘要	Under the effects of global change, water crisis ranks as the top global risk in the future decade, and water conflict in transboundary river basins as well as the geostrategic competition led by it is most concerned. This study presents an innovative integrated PPMGWO model of water resources optimization allocation in a transboundary river basin, which is integrated through the projection pursuit model (PPM) and Grey wolf optimization (GWO) method. This study uses the Songhua River basin and 25 control units as examples, adopting the PPMGWO model proposed in this study to allocate the water quantity. Using water consumption in all control units in the Songhua River basin in 2015 as reference to compare with optimization allocation results of firefly algorithm (FA) and Particle Swarm Optimization (PSO) algorithms as well as the PPMGWO model, results indicate that the average difference between corresponding allocation results and reference values are 0.195 bil m(3), 0.151 bil m(3), and 0.085 bil m(3), respectively. Obviously, the average difference of the PPMGWO model is the lowest and its optimization allocation result is closer to reality, which further confirms the reasonability, feasibility, and accuracy of the PPMGWO model. And then the PPMGWO model is adopted to simulate allocation of available water quantity in Songhua River basin in 2018, 2020, and 2030. The simulation results show water quantity which could be allocated in all controls demonstrates an overall increasing trend with reasonable and equal exploitation and utilization of water resources in the Songhua River basin in future. In addition, this study has a certain reference value and application meaning to comprehensive management and water resources allocation in other transboundary river basins. (C) 2018 Elsevier B.V. All rights reserved.
资助项目	Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[WL2017003] ; Program for China Postdoctoral Science Foundation - China[2016M591139]
WOS关键词	GREENHOUSE-GAS EMISSIONS ; CONFLICT-RESOLUTION ; DECISION-MAKING ; CLIMATE-CHANGE ; HEALTH-RISKS ; MANAGEMENT ; CHINA ; UNCERTAINTY ; ALGORITHM ; VULNERABILITY
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000430902000013
资助机构	Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Program for China Postdoctoral Science Foundation - China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/55065]
专题	中国科学院地理科学与资源研究所
通讯作者	Lu, Hongwei
作者单位	Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Yu, Sen,Lu, Hongwei. An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin[J]. JOURNAL OF HYDROLOGY,2018,559:156-165.
APA	Yu, Sen,&Lu, Hongwei.(2018).An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin.JOURNAL OF HYDROLOGY,559,156-165.
MLA	Yu, Sen,et al."An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin".JOURNAL OF HYDROLOGY 559(2018):156-165.