Identifying Reservoir-Induced Hydrological Alterations in the Upper Yangtze River Basin through Statistical and Modeling Approaches

被引:0
作者
Liu, Hanqi [1 ,2 ]
Wang, Tingting [1 ]
Feng, Yao [1 ]
Liu, Fa [1 ]
Wang, Ning [3 ]
Wang, Hong [1 ]
Liu, Wenbin
Sun, Fubao
机构
[1] Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
关键词
hydrological alteration; climate change; reservoirs; SWAT model; upper Yangtze River basin; CLIMATE-CHANGE; CUMULATIVE IMPACTS; FLOW REGIMES; HYDROPOWER; DAM; IMPOUNDMENT; PRECIPITATION; MISSISSIPPI; DOWNSTREAM; CHALLENGES;
D O I
10.3390/w15162914
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Elucidating the impact of reservoir operation on hydrological signatures is crucial for the effective management of large rivers under the changing climate. This study first revised the reservoir operation scheme in the Soil and Water Assessment Tool (SWAT) model to improve its description of actual operation laws of reservoirs in the upper Yangtze River basin (UYRB). Then, we identified the reservoir-induced hydrological alteration through a hydrological index method driven by observed and simulated daily streamflow from 1960 to 2017. The results revealed the superiority of the revised reservoir algorithm in the SWAT model in simulating streamflow and floods at Cuntan and Yichang stations with the Nash-Sutcliffe efficiency (NSE) coefficient and the Kling-Gupta efficiency (KGE) coefficient improved from 0.01 to 0.08 and 0.01 to 0.05, respectively. Relative to the baseline period (1960-2002), the hydrological signatures in the impact period (2003-2017) changed substantially after 2003. Reservoirs induced a remarkable increase of 27.76% and 55.97% in streamflow from January to March, accompanied by a notable decrease of 6.95% and 20.92% in streamflow from September to October after 2003 at Cuntan and Yichang stations, respectively. Meanwhile, the annual streamflow range contracted, and the flow became more stable with a reduced variation in daily streamflow, extremely low flow spell duration, and extremely high flow spell duration. Consequently, our results improved the quantitative understanding of reservoir-induced alteration and informed the management and planning of reservoir construction in the UYRB under climate change.
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页数:17
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共 32 条
[21]   Study on streamflow response to land use change over the upper reaches of Zhanghe Reservoir in the Yangtze River basin [J].
Chen, Yuqi ;
Niu, Jun ;
Sun, Yuqing ;
Liu, Qi ;
Li, Sien ;
Li, Peng ;
Sun, Liqun ;
Li, Qinglan .
GEOSCIENCE LETTERS, 2020, 7 (01)
[22]   Future hydrological drought changes over the upper Yellow River basin: The role of climate change, land cover change and reservoir operation [J].
Ji, Peng ;
Yuan, Xing ;
Jiao, Yang .
JOURNAL OF HYDROLOGY, 2023, 617
[23]   Revealing the water-energy-food nexus in the Upper Yellow River Basin through multi-objective optimization for reservoir system [J].
Si, Yuan ;
Li, Xiang ;
Yin, Dongqin ;
Li, Tiejian ;
Cai, Ximing ;
Wei, Jiahua ;
Wang, Guangqian .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 682 :1-18
[24]   Landscape- and climate change-induced hydrological alterations in the typically urbanized Beiyun River basin, Beijing, China [J].
Zhang, Yueqiu ;
Liu, Shiliang ;
Hou, Xiaoyun ;
Cheng, Fangyan ;
Shen, Zhenyao .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 33 (01) :149-168
[25]   Landscape- and climate change-induced hydrological alterations in the typically urbanized Beiyun River basin, Beijing, China [J].
Yueqiu Zhang ;
Shiliang Liu ;
Xiaoyun Hou ;
Fangyan Cheng ;
Zhenyao Shen .
Stochastic Environmental Research and Risk Assessment, 2019, 33 :149-168
[26]   Influence of cascade reservoir operation in the Upper Mekong River on the general hydrological regime: A combined data-driven modeling approach [J].
Yuan, Xu ;
Wang, Jiahong ;
He, Daming ;
Lu, Ying ;
Sun, Jingrui ;
Li, Ya ;
Guo, Zipu ;
Zhang, Keyao ;
Li, Fei .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 324
[27]   A simple regional snow hydrological process-based snow depth model and its application in the Upper Yangtze River Basin [J].
Ren, Yanqun ;
Liu, Suxia .
HYDROLOGY RESEARCH, 2019, 50 (02) :672-690
[28]   Assessing changes of river discharge under global warming of 1.5 °C and 2 °C in the upper reaches of the Yangtze River Basin: Approach by using multiple- GCMs and hydrological models [J].
Chen, Jing ;
Gao, Chao ;
Zeng, Xiaofan ;
Xiong, Ming ;
Wang, Yanjun ;
Jing, Cheng ;
Krysanova, Valentina ;
Huang, Jinlong ;
Zhao, Na ;
Su, Buda .
QUATERNARY INTERNATIONAL, 2017, 453 :63-73
[29]   Modeling projected impacts of climate and land use/land cover changes on hydrological responses in the Lake Tana Basin, upper Blue Nile River Basin, Ethiopia [J].
Getachew, Birhan ;
Manjunatha, B. R. ;
Bhat, H. Gangadhara .
JOURNAL OF HYDROLOGY, 2021, 595
[30]   Bridging data-driven and process-based approaches for hydrological modeling in the tropics: insights from the Kelani River Basin, Sri Lanka [J].
Makumbura, Randika K. ;
Manatunge, Jagath ;
Rathnayake, Upaka .
RESULTS IN ENGINEERING, 2025, 27