Estimation of component contributions to total terrestrial water storage change in the Yangtze river basin

环境科学 蓄水 冰川 水文学(农业) 构造盆地 地下水 气候变化 地下水位 流域 含水量 水位 降水 地质学 气候学 地貌学 气象学 海洋学 地理 地图学 岩土工程 入口
作者
Nengfang Chao,Taoyong Jin,Zuansi Cai,Gang Chen,Xianglin Liu,Zhengtao Wang,Pat J.‐F. Yeh
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:595: 125661-125661 被引量:46
标识
DOI:10.1016/j.jhydrol.2020.125661
摘要

Terrestrial water storage (TWS) is a key variable in global and regional hydrological cycles. In this study, the TWS changes in the Yangtze River Basin (YRB) were derived using the Lagrange multiplier method (LMM) from Gravity Recovery and Climate Experiment (GRACE) data. To assess TWS changes from LMM, different GRACE solutions, different hydrological models, and in situ data were used for validation. Results show that TWS changes from LMM in YRB has the best performance with the correlation coefficients of 0.80 and root mean square error of 1.48 cm in comparison with in situ data. The trend of TWS changes over the YRB increased by 10.39 ± 1.27 Gt yr−1 during the 2003–2015 period. Moreover, TWS change is disintegrated into the individual contributions of hydrological components (i.e., glaciers, surface water, soil moisture, and groundwater) from satellite data, hydrologic models, and in situ data. The estimated changes in individual TWS components in the YRB show that (1) the contribution of glaciers, surface water, soil moisture, and groundwater to total TWS changes is 15%, 12%, 25% and 48%, respectively; (2) Geladandong glacier melt from CryoSat-2/ICESat data has a critical effect on TWS changes with a correlation coefficients of −0.51; (3) the Three Gorges Reservoir Impoundment has a minimal effect on surface water changes (mainly lake water storage), but it has a substantial effect on groundwater storage (GWS), (4) the Poyang and Doting Lake water storage changes are mainly caused by climate change, (5) soil moisture storage change is mainly influenced by surface water, (6) human-induced GWS changes accounted for approximately half of the total GWS. The results of this study can provide valuable information for decision-making in water resources management.
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