A general framework of design flood estimation for cascade reservoirs in operation period

被引:29
作者
Xiong, Feng [1 ]
Guo, Shenglian [1 ]
Liu, Pan [1 ]
Xu, C-Y [2 ]
Zhong, Yixuan [1 ]
Yin, Jiabo [1 ]
He, Shaokun [1 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
[2] Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
基金
中国国家自然科学基金;
关键词
Cascade reservoirs; Design flood; Most likely regional composition; Flood limited water level; Multivariate t-copula; Genetic algorithm; FREQUENCY-ANALYSIS; GENETIC ALGORITHM; WATER-LEVEL; COPULA; OPTIMIZATION; IMPACTS; CLIMATE; INDEX; DEPENDENCE; EVOLUTION;
D O I
10.1016/j.jhydrol.2019.124003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The hydrological regimes of downstream reservoirs have been significantly altered due to the operation and regulation of upstream cascade reservoirs. The original design flood quantiles, namely "design flood in construction period", do not consider anthropogenic impacts in reservoir operation period, and have led to enormous conflicts between flood control and conservation. In this study, the "design flood and flood limited water level in operation period" are defined for practical application. We establish a general framework to measure the spatiotemporal pattern of streamflow and to estimate design floods of cascade reservoirs in operation period. The multivariate t-copula and a genetic algorithm strategy are proposed to solve the curse of dimensionality encountered in the derivation of most likely regional composition. The Jinsha River and Yalong River cascade reservoir system in China, which consists of 13 large reservoirs with the total storage capacity of 74.06 billion m(3) and hydropower capacity of 71.47 GW, is selected as a case study. Results indicate that: (1) The curse of dimensionality can be well addressed by applying multivariate t-copula to build high dimensional joint distribution and using the genetic algorithm to achieve the most likely regional composition. (2) Compared with the design floods in construction period, the design floods of downstream reservoirs in operation period have been significantly reduced due to the upstream reservoir regulation. The 1000-year design peak flood discharge, 3-day, 7-day and 30-day flood volumes of Xiangjiaba reservoir decrease by 38.7%, 37.4%, 34.2% and 13.8%, respectively. (3) The flood limited water level of these reservoirs can be raised without increasing flood control risks in operation period. The cascade reservoirs in the Jinsha River and Yalong River can generate 3.28 billion kW h more hydropower (or increase 4.3%) annually during flood season.
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页数:15
相关论文
共 63 条
  • [1] Pair-copula constructions of multiple dependence
    Aas, Kjersti
    Czado, Claudia
    Frigessi, Arnoldo
    Bakken, Henrik
    [J]. INSURANCE MATHEMATICS & ECONOMICS, 2009, 44 (02) : 182 - 198
  • [2] [Anonymous], RISK
  • [3] [Anonymous], 2006, MINIST WATER RESOUR
  • [4] NONLINEAR RESERVOIR ROUTING - PARTICULAR ANALYTICAL SOLUTION
    BASHA, HA
    [J]. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 1994, 120 (05): : 624 - 632
  • [5] Optimization Methods for Large-Scale Machine Learning
    Bottou, Leon
    Curtis, Frank E.
    Nocedal, Jorge
    [J]. SIAM REVIEW, 2018, 60 (02) : 223 - 311
  • [6] Dependence structures for multivariate high-frequency data in finance
    Breymann, W
    Dias, A
    Embrechts, P
    [J]. QUANTITATIVE FINANCE, 2003, 3 (01) : 1 - 14
  • [7] Optimization of operation rule curves and flushing schedule in a reservoir
    Chang, FJ
    Lai, JS
    Kao, LS
    [J]. HYDROLOGICAL PROCESSES, 2003, 17 (08) : 1623 - 1640
  • [8] Chen J., 2017, WATER RESOUR RES, V53
  • [9] Streamflow forecast uncertainty evolution and its effect on real-time reservoir operation
    Chen, Lu
    Singh, Vijay P.
    Lu, Weiwei
    Zhang, Junhong
    Zhou, Jianzhong
    Guo, Shenglian
    [J]. JOURNAL OF HYDROLOGY, 2016, 540 : 712 - 726
  • [10] CWRC (Changjiang Water Resources Commission Ministry of Water Resource), 2018, JOINT OP RUL RES UPP