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Divergent spatiotemporal variability of terrestrial water storage and eight hydroclimatic components over three different scales of the Yangtze River basin
被引:5
|作者:
Chao, Nengfang
[1
,2
]
Li, Fupeng
[1
,3
]
Yu, Nan
[1
]
Chen, Gang
[1
]
Wang, Zhengtao
[4
]
Ouyang, Guichong
[1
]
Yeh, Pat J. -F.
[5
]
机构:
[1] China Univ Geosci, Coll Marine Sci & Technol, Hubei Key Lab Marine Geol Resources, Key Lab Geol Survey & Evaluat,Minist Educ, Wuhan 430074, Peoples R China
[2] Univ Leeds, Ctr Polar Observat & Modelling, Sch Earth & Environm, Leeds, England
[3] Univ Bonn, Inst Geodesy & Geoinformat, D-53115 Bonn, Germany
[4] Wuhan Univ, Sch Geodesy & Geomat, Key Lab Geospace Environm & Geodesy, Wuhan 430079, Peoples R China
[5] Monash Univ Malaysia, Discipline Civil Engn, Subang Jaya, Malaysia
关键词:
Hydroclimatic components;
GRACE;
Terrestrial water storage;
Yangtze River basin;
SEA-LEVEL;
GROUNDWATER DEPLETION;
WAVELET COHERENCE;
GRACE;
DROUGHT;
D O I:
10.1016/j.scitotenv.2023.162886
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Terrestrial water storage anomaly (TWSA) from Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-on was first exacted by using the forward modeling (FM) method at three different scales over the Yangtze River basin (YRB): whole basin, three middle sub-basins, and eleven small sub-basins (total 15 basins). The spatiotem-poral variability of eight hydroclimatic variables, snow water storage change (SnWS), canopy water storage change (CnWS), surface water storage anomaly (SWSA), soil moisture storage anomaly (SMSA), groundwater storage anomaly (GWSA), precipitation (P), evapotranspiration (ET), and runoff (R), and their contribution to TWSA were comprehen-sively investigated over the YRB. The results showed that the root mean square error of TWS change after FM improved by 17 %, as validated by in situ P, ET, and R data. The seasonal, inter-annual, and trend revealed that TWSA over the YRB increased during 2003-2018. The seasonal TWSA signal increased from the lower to the upper of YRB, but the trend, sub-seasonal, and inter-annual signals receded from the lower to the upper of YRB. The contribution of CnWS to TWSA was small over the YRB. The contribution of SnWS to TWSA occurs mainly in the upper of YRB. The main contributors to TWSA were SMSA (-36 %), SWSA (-33 %), and GWSA (-30 %). GWSA can be affected by TWSA, but other hydrological elements may have a slight impact on groundwater in the YRB. The primary driver of TWSA over the YRB was P (-46 %), followed by ET and R (both-27 %). The contribution of SMSA, SWSA, and P to TWSA increased from the upper to the lower of YRB. R was the key driver of TWSA in the lower of YRB. The proposed approaches and results of this study can provide valuable new insights for water resource management in the YRB and can be applied globally.
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页数:14
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