TY - JOUR
T1 - Estimation of component contributions to total terrestrial water storage change in the Yangtze river basin
AU - Chao, Nengfang
AU - Jin, Taoyong
AU - Cai, Zuansi
AU - Chen, Gang
AU - Liu, Xianglin
AU - Wang, Zhengtao
AU - Yeh, Pat J.F.
N1 - Funding Information:
The authors thank the following data providers for making the data available: GRACE-CSR, JPL, GFZ, GRGS; Altimetry; SRTM; GLDAS; CPC; WGHM; runoff; in situ water level; TRMM; GPCP, National Meteorological Information Center and CLM4.0 from Prof. Lo Minhui. This study is supported by the NSFC (China) under Grants 41974019, 41704011, 41721003, and 41974007; Supported by the CRSRI Open Research Program (Program SN: CKWV2019728/KY), and Natural Science Foundation of Hubei Province of China under Grant 2019CFB427.
Funding Information:
The authors thank the following data providers for making the data available: GRACE-CSR, JPL, GFZ, GRGS; Altimetry; SRTM; GLDAS; CPC; WGHM; runoff; in situ water level; TRMM; GPCP, National Meteorological Information Center and CLM4.0 from Prof. Lo Minhui. This study is supported by the NSFC (China) under Grants 41974019, 41704011, 41721003, and 41974007; Supported by the CRSRI Open Research Program (Program SN: CKWV2019728/KY), and Natural Science Foundation of Hubei Province of China under Grant 2019CFB427.
Publisher Copyright:
© 2020 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
KW - CryoSat-2/ICESat
KW - GRACE
KW - Groundwater
KW - Terrestrial water storage change
KW - Yangtze River basin
UR - https://www.scopus.com/pages/publications/85094813373
U2 - 10.1016/j.jhydrol.2020.125661
DO - 10.1016/j.jhydrol.2020.125661
M3 - Article
AN - SCOPUS:85094813373
SN - 0022-1694
VL - 595
JO - Journal of Hydrology
JF - Journal of Hydrology
M1 - 125661
ER -
SDG 13 Climate Action