Optimized reservoir operation to balance human and riverine ecosystem needs: model development, and a case study for the Tanghe reservoir, Tang river basin, China

被引:48
作者
Yin, Xinan [1 ]
Yang, Zhifeng [1 ]
Yang, Wei [1 ]
Zhao, Yanwei [1 ]
Chen, He [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
基金
美国国家科学基金会;
关键词
environmental flow; genetic algorithms; optimization; reservoir operation; rule curves; water release; GENETIC ALGORITHM OPTIMIZATION; RULE CURVES; FLOWS; FISH;
D O I
10.1002/hyp.7498
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Reservoirs impose many negative impacts on riverine ecosystems. To balance human and ecosystem needs, we propose a reservoir operation method that combines reservoir operating rule curves with the regulated minimum water release policy to meet the environmental flow requirements of riverine ecosystems. Based on the relative positions of the reservoir and the water intakes, we consider three scenarios: water used for human needs (including industrial, domestic and agricultural) is directly withdrawn from (1) the reservoir; (2) both reservoirs and downstream river channels and (3) downstream river. The proposed method offers two advantages over traditional methods: First, it can be applied to finding the optimal reservoir operating rule curves with the consideration of environmental flow requirement, which is beneficial to the sustainable water uses. Second, it avoids a problem with traditional approaches, which prescribe the minimum environmental flow requirements as the regulated minimum environmental flow releases from reservoirs, implicitly giving lower priority to the riverine ecosystem. Our method instead determines the optimal regulated minimum releases of water to sustain environmental flows while more effectively balancing human and ecosystem needs. To demonstrate practical use of the model, we present a case study for operation of the Tanghe reservoir in China's Tang river basin for the three above-mentioned scenarios. The results demonstrate that this approach will help the reservoir's managers satisfy both human and environmental requirements. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码:461 / 471
页数:11
相关论文
共 20 条
  • [1] *BEIJ NORM U, 2008, RIV EC PROT REST PLA
  • [2] Designing instream flows to satisfy fish and human water needs
    Cardwell, H
    Jager, HI
    Sale, MJ
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1996, 122 (05): : 356 - 363
  • [3] Optimizing the reservoir operating rule curves by genetic algorithms
    Chang, FJ
    Chen, L
    Chang, LC
    [J]. HYDROLOGICAL PROCESSES, 2005, 19 (11) : 2277 - 2289
  • [4] Intelligent control for modelling of real-time reservoir operation
    Chang, LC
    Chang, FJ
    [J]. HYDROLOGICAL PROCESSES, 2001, 15 (09) : 1621 - 1634
  • [5] Real coded genetic algorithm optimization of long term reservoir operation
    Chen, L
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2003, 39 (05): : 1157 - 1165
  • [6] A diversified multiobjective GA for optimizing reservoir rule curves
    Chen, Li
    McPhee, James
    Yeh, William W. -G.
    [J]. ADVANCES IN WATER RESOURCES, 2007, 30 (05) : 1082 - 1093
  • [7] River regulation and fish communities in the Murray-Darling river system, Australia
    Gehrke, PC
    Brown, P
    Schiller, CB
    Moffatt, DB
    Bruce, AM
    [J]. REGULATED RIVERS-RESEARCH & MANAGEMENT, 1995, 11 (3-4): : 363 - 375
  • [8] HOMA ES, 2005, WORLD WATER ENV RESO
  • [9] Hydrologic Engineering Center, 1975, HYDR ENG METH WAT RE, V8
  • [10] Sustainable reservoir operation: Can we generate hydropower and preserve ecosystem values?
    Jager, Henriette I.
    Smith, Brennan T.
    [J]. RIVER RESEARCH AND APPLICATIONS, 2008, 24 (03) : 340 - 352