Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101063
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorChen, Len_US
dc.creatorHuang, Ken_US
dc.creatorZhou, Jen_US
dc.creatorDuan, HFen_US
dc.creatorZhang, Jen_US
dc.creatorWang, Den_US
dc.creatorQiu, Hen_US
dc.date.accessioned2023-08-30T04:14:35Z-
dc.date.available2023-08-30T04:14:35Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/101063-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Chen, L., Huang, K., Zhou, J., Duan, H. F., Zhang, J., Wang, D., & Qiu, H. (2020). Multiple-risk assessment of water supply, hydropower and environment nexus in the water resources system. Journal of Cleaner Production, 268, 122057 is available at https://doi.org/10.1016/j.jclepro.2020.122057.en_US
dc.subjectHydropoweren_US
dc.subjectMultiple-risk assessmenten_US
dc.subjectWater resources systemen_US
dc.subjectWater supplyen_US
dc.subjectWater-energy-environment nexusen_US
dc.titleMultiple-risk assessment of water supply, hydropower and environment nexus in the water resources systemen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume268en_US
dc.identifier.doi10.1016/j.jclepro.2020.122057en_US
dcterms.abstractHydropower has been one of the effective and reliable renewable sources utilized for electricity generation globally, which forms over 70% of all the renewable energy measures since 2016. However, this effective energy source can be greatly affected by the uneven spatiotemporal distributions of water resources in the catchment, leading to the potential risks of insufficient water supply, hydropower and ecological water uses. In this study, the multi-dimensional models by coupling water supply, hydropower generation and environment effects were developed to improve the efficiency and sustainability of water resources utilization. To this end, the joint distributions and conditional expectation models were established to analyze the nexus of water supply, hydropower and environment variables, thereby to evaluate multiple risks in the water resources system. For the validation and demonstration of the proposed method, the upper Yangtze River Basin was selected for a case study through multivariate analysis under different conditions. The application results of bivariate analysis indicated that the probability of water supply exceeding a threshold value decreases gradually with the increase of hydropower generation, which means that the risk of insufficient water supply increases with the increasing of the hydropower generation. Specifically, when the frequency of hydropower generation exceeds 90%, both the expected values of water supply sufficiency and water use sustainability will decrease sharply, causing potential risks of water supply insufficiency and environment damage at upstream of the dam. Furthermore, the application results of trivariate analysis evidenced that different combinations of hydropower generation and ecological water use may be achievable for optimally compromising the water resources supply and utilization. The results and findings of this study may provide useful implications for effective multiple function-based development of water resources, with aims to reduce the water supply risks as well as to improve the water utilization efficiency and environmental sustainability.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 20 Sept 2020, v. 268, 122057en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2020-09-20-
dc.identifier.scopus2-s2.0-85084440064-
dc.identifier.artn122057en_US
dc.description.validate202308 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-0711-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS23134437-
dc.description.oaCategoryGreen (AAM)en_US
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