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A nature-based reservoir optimization model for resolving the conflict in human water demand and riverine ecosystem protection
Ren, Kang1; Huang, Shengzhi1; Huang, Qiang1; Wang, Hao2; Leng, Guoyong3; Cheng, Linyin4; Fang, Wei1; Li, Pei1
2019-09-10
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
Volume231Pages:406-418
Corresponding AuthorHuang, Shengzhi(huangshengzhi@xaut.edu.cn)
AbstractAlthough construction of reservoirs and dams is one of the most common approaches to satisfy water demand and alleviate water scarcity, this approach severely affects river ecosystems. The most direct impact of human activities on rivers, for instance, regulating river can lead to degraded riverine ecosystems as part of the hydrological alteration. This paper determines the available ratio of water resource of natural or semi-natural rivers for ecological feasible regions using a method that transcends the traditional perspective of designed environmental flow. Our framework involves a modified percent of flow approach to identify the ecological feasible region of water resources utilization, which sequentially acts as a constraint for a reservoir optimization model based on the Cuckoo Search algorithm to obtain an optimal diversion process. Indicators of the hydrological alteration statistical method and the histogram matching approach are used to examine the framework's performance. The Han to Wei inter-basin water transfer project of China is selected as a case study. Results indicate that: (1) the allowable diversion rate with this modified percent of flow approach is more effective for reducing interference of diversion on the ecosystems than the conventional planned diversion rule; water demand, however, cannot be satisfied by the allowable diversion rate; (2) ecological feasible region is an accessible constraint for reservoir operation model, and the optimal diversion rate of such model is a trade-off output between the human water demand and the riverine ecosystems protection; and (3) increased allowable diversion rates alter flow indicators including the February flow, 30-day minimum flow, and low pulse count more appreciably than does the optimal diversion rate. This study provides key insights on how to achieve a trade-off between human water demand and riverine ecosystems protection, therefore contributing to the local sustainable development of social economy and ecological environment. (C) 2019 Elsevier Ltd. All rights reserved.
KeywordWater resources management Nature-based solution Natural flow regime Ecological feasible region
DOI10.1016/j.jclepro.2019.05.221
WOS KeywordSPATIAL-TEMPORAL CHANGES ; CHINA CHANGING PATTERNS ; ENVIRONMENTAL FLOWS ; HYDROLOGIC ALTERATION ; CLIMATE-CHANGE ; CUCKOO SEARCH ; MANAGEMENT ; OPERATION ; IDENTIFICATION ; VEGETATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0405900] ; National Natural Science Foundation of China[51709221] ; Planning Project of Science and Technology of Water Resources of Shaanxi[2017sIkj-16] ; Planning Project of Science and Technology of Water Resources of Shaanxi[2017sIkj-19] ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803] ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources andHydraulic Engineering[2018490711]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Planning Project of Science and Technology of Water Resources of Shaanxi ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources andHydraulic Engineering
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000474680100036
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58458
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Shengzhi
Affiliation1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
2.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
4.Univ Arkansas, Dept Geosci, Fayetteville, AR 72701 USA
Recommended Citation
GB/T 7714
Ren, Kang,Huang, Shengzhi,Huang, Qiang,et al. A nature-based reservoir optimization model for resolving the conflict in human water demand and riverine ecosystem protection[J]. JOURNAL OF CLEANER PRODUCTION,2019,231:406-418.
APA Ren, Kang.,Huang, Shengzhi.,Huang, Qiang.,Wang, Hao.,Leng, Guoyong.,...&Li, Pei.(2019).A nature-based reservoir optimization model for resolving the conflict in human water demand and riverine ecosystem protection.JOURNAL OF CLEANER PRODUCTION,231,406-418.
MLA Ren, Kang,et al."A nature-based reservoir optimization model for resolving the conflict in human water demand and riverine ecosystem protection".JOURNAL OF CLEANER PRODUCTION 231(2019):406-418.
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