Assessing Terrestrial Water Storage and Flood Potential Using GRACE Data in the Yangtze River Basin, China

被引:51
|
作者
Sun, Zhangli [1 ,2 ,3 ,4 ,5 ]
Zhu, Xiufang [1 ,2 ,5 ]
Pan, Yaozhong [2 ,3 ,4 ,5 ]
Zhang, Jinshui [1 ,2 ,5 ]
机构
[1] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[4] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100875, Peoples R China
[5] Beijing Normal Univ, Inst Remote Sensing Sci & Engn, Fac Geog Sci, Beijing 100875, Peoples R China
关键词
floods; GRACE; FPI; Yangtze River Basin; VARIABILITY;
D O I
10.3390/rs9101011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Floods have caused tremendous economic, societal and ecological losses in the Yangtze River Basin (YRB) of China. To reduce the impact of these disasters, it is important to understand the variables affecting the hydrological state of the basin. In this study, we used Gravity Recovery and Climate Experiment (GRACE) satellite data, flood potential index (FPI), precipitation data (Tropical Rainfall Measuring Mission, TRMM 3B43), and other meteorological data to generate monthly terrestrial water storage anomalies (TWSA) and to evaluate flood potential in the YRB. The results indicate that the basin contained increasing amounts of water from 2003 to 2014, with a slight increase of 3.04 mm/year in the TWSA. The TWSA and TRMM data exhibit marked seasonal characteristics with summer peaks and winter dips. Estimates of terrestrial water storage based on GRACE, measured as FPI, are critical for understanding and predicting flooding. The 2010 flood (FPI similar to 0.36) was identified as the most serious disaster during the study period, with discharge and precipitation values 37.95% and 19.44% higher, respectively, than multi-year average values for the same period. FPI can assess reliably hydrological extremes with high spatial and temporal resolution, but currently, it is not suitable for smaller and/or short-term flood events. Thus, we conclude that GRACE data can be effectively used for monitoring and examining large floods in the YRB and elsewhere, thus improving the current knowledge and presenting potentially important political and economic implications.
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页数:15
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