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

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 ~ 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.

[1]  Deliang Chen,et al.  China's National Assessment Report on Climate Change (I): Climate change in China and the future trend , 2007 .

[2]  D. Goodrich,et al.  Trends in water balance components across the Brazilian Cerrado , 2014 .

[3]  N. Sneeuw,et al.  Mumbai 2005, Bihar 2008 Flood Reflected in Mass Changes Seen by GRACE Satellites , 2013, Journal of the Indian Society of Remote Sensing.

[4]  B. Chao,et al.  Terrestrial water storage anomalies of Yangtze River Basin droughts observed by GRACE and connections with ENSO , 2015 .

[5]  F. Landerer,et al.  Accuracy of scaled GRACE terrestrial water storage estimates , 2012 .

[6]  Qi Zhang,et al.  GRACE-Based Hydrological Drought Evaluation of the Yangtze River Basin, China , 2016 .

[7]  Jiang Tong,et al.  Yangtze floods and droughts (China) and teleconnections with ENSO activities (1470–2003) , 2006 .

[8]  Chong-Yu Xu,et al.  Possible influence of ENSO on annual maximum streamflow of the Yangtze River, China , 2007 .

[9]  Brian C. Gunter,et al.  Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models , 2016 .

[10]  A. Kirilenko,et al.  Evaluating flood potential with GRACE in the United States , 2015 .

[11]  Yang Hong,et al.  Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data , 2014 .

[12]  B. Scanlon,et al.  Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites , 2014 .

[13]  F. Frappart,et al.  Climate-driven interannual ice mass evolution in Greenland , 2012 .

[14]  James S. Famiglietti,et al.  Remote Sensing of Terrestrial Water Storage, Soil Moisture and Surface Waters , 2013 .

[15]  M. Rodell,et al.  Water in the Balance , 2013, Science.

[16]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[17]  Shusen Wang,et al.  Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations , 2017, Remote. Sens..

[18]  S. Swenson,et al.  Satellites measure recent rates of groundwater depletion in California's Central Valley , 2011 .

[19]  C. Donlon,et al.  The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission , 2012 .

[20]  Y. Hong,et al.  Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin , 2015 .

[21]  Naiming Xie,et al.  China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model , 2014, Natural Hazards.

[22]  Chong-yu Xu,et al.  Spatial and temporal variability of precipitation maxima during 1960-2005 in the Yangtze River basin and possible association with large-scale circulation , 2008 .

[23]  Frédéric Frappart,et al.  Changes in terrestrial water storage versus rainfall and discharges in the Amazon basin , 2013 .

[24]  A. Hoekstra,et al.  Analysis of Long-term Terrestrial Water Storage Variations in the Yangtze River Basin , 2014 .

[25]  Byron D. Tapley,et al.  The 2009 exceptional Amazon flood and interannual terrestrial water storage change observed by GRACE , 2010 .

[26]  Irma J. Terpenning,et al.  STL : A Seasonal-Trend Decomposition Procedure Based on Loess , 1990 .

[27]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[28]  J. Famiglietti,et al.  Global terrestrial water storage capacity and flood potential using GRACE , 2009 .

[29]  M. Durand,et al.  Tracking River Flows from Space , 2017 .

[30]  S. Seneviratne,et al.  GRACE‐derived terrestrial water storage depletion associated with the 2003 European heat wave , 2005 .

[31]  Kenneth Grogan,et al.  A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring , 2016, Remote. Sens..