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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
2018-04-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume559Pages:156-165
Corresponding AuthorLu, Hongwei(luhw@igsnrr.ac.cn)
AbstractUnder 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.
KeywordProjection pursuit model Grey wolf optimization Optimization allocation Transboundary river basins Songhua River basin
DOI10.1016/j.jhydrol.018.02.033
WOS KeywordGREENHOUSE-GAS EMISSIONS ; CONFLICT-RESOLUTION ; DECISION-MAKING ; CLIMATE-CHANGE ; HEALTH-RISKS ; MANAGEMENT ; CHINA ; UNCERTAINTY ; ALGORITHM ; VULNERABILITY
Indexed BySCI
Language英语
Funding ProjectKey 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]
Funding OrganizationKey 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
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000430902000013
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55066
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Hongwei
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
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.
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