Impact of Three Gorges Reservoir Operation on Water Level at Jiujiang Station and Poyang Lake in the Yangtze River

被引:0
作者
Wang, Yun [1 ]
Guo, Shenglian [1 ]
Xiang, Xin [1 ]
Li, Chenglong [1 ]
Li, Na [2 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan 430072, Peoples R China
[2] China Yangtze Power Corp Ltd, Yichang 44300, Peoples R China
基金
中国国家自然科学基金;
关键词
water level; flow discharge; riverbed incision; Jiujiang Station; Poyang Lake; Three Gorges Reservoir; Yangtze River; DECLINE; DAM; SURFACE;
D O I
10.3390/hydrology12030052
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The variation in water level at Jiujiang Station (JJS) directly affects flow exchange between the Yangtze River and the Poyang Lake. Quantitative research on the influencing factors of water level changes at JJS is of great importance for water supply and eco-environment protection in the Poyang Lake region. In this study, the Mann-Kendall method was used to test the trend of water level variation, and the impacts of riverbed incision and flow volume changes on water level at JJS were macroscopically analyzed using the observed monthly flow data series from 1981 to 2021. Furthermore, Long Short-Term Memory (LSTM) neural network model was used to simulate the impacts of outflow discharge of Three Gorges Reservoir (TGR) and flow discharge of the interval basin between TGR and JJS on water level at JJS; the partial dependence plot was adopted to analyze the impact of single feature variable variation on the simulation results. The results show that, after the TGR was put into operation in 2003, the water level changes at JJS mainly occurred during the impoundment period, the annual average storage of TGR was decreased 6.9 billion m3, and the annual average runoff volume at JJS was decreased 11.5 billion m3, which resulted in the average water levels at JJS being decreased 1.74 m and 2.11 m in September and October, respectively. The annual average runoff of JJS was increased 4.5 billion m3 with TGR replenishment of 1.8 billion m3 from December to March of the following year. Impacted by riverbed incision, the water levels at JJS were decreased 0.59 m and 0.99 m in September and October and increased 0.63 m from December to March. Every additional 5000 m3/s (1000 m3/s) of TGR outflow discharge could increase 1.0 m (0.16 m) the water level at JJS in September and October (from December to March of the following year).
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页数:17
相关论文
共 31 条
[1]   Non-stationary water-level fluctuation in China's Poyang Lake and its interactions with Yangtze River [J].
Dai Xue ;
Wan Rongrong ;
Yang Guishan .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2015, 25 (03) :274-288
[2]   Impacts of large dams on downstream fluvial sedimentation: An example of the Three Gorges Dam (TGD) on the Changjiang (Yangtze River) [J].
Dai, Zhijun ;
Liu, James T. .
JOURNAL OF HYDROLOGY, 2013, 480 :10-18
[3]   Strategic assessment of the magnitude and impacts of sand mining in Poyang Lake, China [J].
de Leeuw, Jan ;
Shankman, David ;
Wu, Guofeng ;
de Boer, Willem Frederik ;
Burnham, James ;
He, Qing ;
Yesou, Herve ;
Xiao, Jing .
REGIONAL ENVIRONMENTAL CHANGE, 2010, 10 (02) :95-102
[4]   Unravelling the spatiotemporal variation in the water levels of Poyang Lake with the variational mode decomposition model [J].
Gan, Min ;
Lai, Xijun ;
Guo, Yan ;
Lu, Zhao ;
Chen, Yongping ;
Pan, Shunqi ;
Pan, Haidong ;
Chu, Ao .
HYDROLOGICAL PROCESSES, 2024, 38 (07)
[5]  
Greenwell BM, 2017, R J, V9, P421
[6]   Investigating variation characteristics and driving forces of lake water level complexity in a complex river-lake system [J].
Huang, Feng ;
Ochoa, Carlos G. ;
Guo, Lidan ;
Wu, Yao ;
Qian, Bao .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (05) :1003-1017
[7]   Multiple Changes in the Hydrologic Regime of the Yangtze River and the Possible Impact of Reservoirs [J].
Huang, Feng ;
Zhang, Nan ;
Ma, Xirong ;
Zhao, Dayong ;
Guo, Lidan ;
Ren, Li ;
Wu, Yao ;
Xia, Ziqiang .
WATER, 2016, 8 (09)
[8]   Assessing the effects of the Three Gorges Dam and upstream inflow change on the downstream flow regime during different operation periods of the dam [J].
Jiang, Cong ;
Zhang, Quan ;
Luo, Mingming .
HYDROLOGICAL PROCESSES, 2019, 33 (22) :2885-2897
[9]  
[江丰 Jiang Feng], 2015, [地理学报, Acta Geographica Sinica], V70, P837
[10]   A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall-runoff modeling [J].
Kratzert, Frederik ;
Klotz, Daniel ;
Hochreiter, Sepp ;
Nearing, Grey S. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2021, 25 (05) :2685-2703