Evaluation of GloFAS-Seasonal Forecasts for Cascade Reservoir Impoundment Operation in the Upper Yangtze River

被引:9
作者
Chen, Kebing [1 ]
Guo, Shenglian [1 ]
Wang, Jun [1 ]
Qin, Pengcheng [2 ]
He, Shaokun [1 ]
Sun, Sirui [3 ]
Naeini, Matin Rahnamay [4 ,5 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
[2] Wuhan Reg Climate Ctr, Hubei Meteorol Bur, Wuhan 430074, Peoples R China
[3] Middle Changjiang River Bur Hydrol & Water Resour, Wuhan 430012, Peoples R China
[4] Univ Calif Irvine, CHRS, Irvine, CA 92697 USA
[5] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
基金
中国国家自然科学基金;
关键词
Yangtze River; cascade reservoirs; impoundment operation; GloFAS-Seasonal; forecast evaluation; CLIMATE FORECASTS; EVOLUTIONARY ALGORITHM; GENETIC ALGORITHM; STREAMFLOW; DROUGHT; SYSTEM; RULES; MODEL; PREDICTION; HYDROLOGY;
D O I
10.3390/w11122539
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Standard impoundment operation rules (SIOR) are pre-defined guidelines for refilling reservoirs before the end of the wet season. The advancement and availability of the seasonal flow forecasts provide the opportunity for reservoir operators to use flexible and early impoundment operation rules (EIOR). These flexible impoundment rules can significantly improve water conservation, particularly during dry years. In this study, we investigate the potential application of seasonal streamflow forecasts for employing EIOR in the upper Yangtze River basin. We first define thresholds to determine the streamflow condition in September, which is an important period for decision-making in the basin, and then select the most suitable impoundment operation rules accordingly. The thresholds are used in a simulation-optimization model to evaluate different scenarios for EIOR and SIOR by multiple objectives. We measure the skill of the GloFAS-Seasonal forecast, an operational global seasonal river flow forecasting system, to predict streamflow condition according to the selected thresholds. The results show that: (1) the 20th and 30th percentiles of the historical September flow are suitable thresholds for evaluating the possibility of employing EIOR; (2) compared to climatological forecasts, GloFAS-Seasonal forecasts are skillful for predicting the streamflow condition according to the selected 20th and 30th percentile thresholds; and (3) during dry years, EIOR could improve the fullness storage rate by 5.63% and the annual average hydropower generation by 4.02%, without increasing the risk of flooding. GloFAS-Seasonal forecasts and early reservoir impoundment have the potential to enhance hydropower generation and water utilization.
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页数:19
相关论文
共 56 条
[1]  
[Anonymous], 2012, Forecast Verificaton: A Practitioner's Guide in Atmospheric Science
[2]   Skilful seasonal forecasts of streamflow over Europe? [J].
Arnal, Louise ;
Cloke, Hannah L. ;
Stephens, Elisabeth ;
Wetterhall, Fredrik ;
Prudhomme, Christel ;
Neumann, Jessica ;
Krzeminski, Blazej ;
Pappenberger, Florian .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (04) :2057-2072
[3]   Developing Subseasonal to Seasonal Climate Forecast Products for Hydrology and Water Management [J].
Baker, Sarah A. ;
Wood, Andrew W. ;
Rajagopalan, Balaji .
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2019, 55 (04) :1024-1037
[4]   A revised land hydrology in the ECMWF model: a step towards daily water flux prediction in a fully-closed water cycle [J].
Balsamo, G. ;
Pappenberger, F. ;
Dutra, E. ;
Viterbo, P. ;
van den Hurk, B. .
HYDROLOGICAL PROCESSES, 2011, 25 (07) :1046-1054
[5]   Reservoir-induced hydrological changes in the Ebro River basin (NE Spain) [J].
Batalla, RJ ;
Gómez, CM ;
Kondolf, GM .
JOURNAL OF HYDROLOGY, 2004, 290 (1-2) :117-136
[6]   Assessment of an ensemble seasonal streamflow forecasting system for Australia [J].
Bennett, James C. ;
Wang, Quan J. ;
Robertson, David E. ;
Schepen, Andrew ;
Li, Ming ;
Michael, Kelvin .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (12) :6007-6030
[7]   Tailoring seasonal climate forecasts for hydropower operations [J].
Block, P. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2011, 15 (04) :1355-1368
[8]   Evaluation of stochastic reservoir operation optimization models [J].
Celeste, Alcigeimes B. ;
Billib, Max .
ADVANCES IN WATER RESOURCES, 2009, 32 (09) :1429-1443
[9]   Multi-objective evolutionary algorithm for operating parallel reservoir system [J].
Chang, Li-Chiu ;
Chang, Fi-John .
JOURNAL OF HYDROLOGY, 2009, 377 (1-2) :12-20
[10]   The Value of Hydrologic Information in Reservoir Outflow Decision-Making [J].
Chen, Kebing ;
Guo, Shenglian ;
He, Shaokun ;
Xu, Tao ;
Zhong, Yixuan ;
Sun, Sirui .
WATER, 2018, 10 (10)