Using ITSG-Grace2018 Daily Solutions Time-Varying Model to Detect Short-Term Flood
Abstract We use the ITSG-Grace2018 daily gravity field solutions model to invert the changes of terrestrial water storage(TWS) in Chongqing from January 1, 2003, to August 31, 2016. We compare the model with hydrological data(WGHM, GLDAS) and precipitation data(CPC). The flood events from July 16 to 18, 2007, July 2 to 5, and July 8 to 13, 2012 in Chongqing are our focus. The results show that TWS derived from ITSG-Grace2018 is in good agreement with that from WGHM and GLDAS. The correlation coefficient between ITSG-Grace2018 water storage change and precipitation anomaly is 0.50, indicating precipitation is an important factor leading to TWS changes in Chongqing. For flood disasters shorter than one month, the monthly solution cannot give the spatio-temporal evolution process before and after flood, while the daily solutions can reflect more high-frequency details, but there is a time delay compared with the precipitation data.
Key words ：
terrestrial water storage
ITSG-Grace2018
hydrology model
precipitation
short-term flood
Cite this article:
LI Xiaonan,LI Weiwei. Using ITSG-Grace2018 Daily Solutions Time-Varying Model to Detect Short-Term Flood[J]. jgg, 2023, 43(4): 414-419.
LI Xiaonan,LI Weiwei. Using ITSG-Grace2018 Daily Solutions Time-Varying Model to Detect Short-Term Flood[J]. jgg, 2023, 43(4): 414-419.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2023/V43/I4/414
[1]
NIE Shengkun, YIN Wenjie, ZHENG Wei, LI Kezhao, WU Tingtao, LIU Jie. Analysis of Terrestrial Water Storage Changes in the Haihe River Basin before and after the South-to-North Water Diversion Project
[2]
YANG Xinchun, YOU Wei, WAN Xiangyu, SONG Mengzhi. Reconstruction of Terrestrial Water Storage Changes of Nine Major River Basins in China Using a Multiple Linear Regression Model
[3]
ZHAO Yaxian, ZHANG Zizhan, ZHENG Shuo, YAN Haoming. Comparison of Satellite Gravimetry of Terrestrial Water Storage Anomaly and Drought Indices in the Yangtze River Basin
[4]
ZHAO Yingli,SHEN Qiang,FENG Wei,WANG Hansheng,GAO Fan,LAI Weiyu,LIU Tiantian. Changes and Spatio-Temporal Characteristics of Terrestrial Water Storage Variation in China’s Seven Main River Basins During 2002-2018
[5]
XUAN Jianhao,ZHANG Xingfu,CHEN Jianhua,MA Ziying. Terrestrial Water Storage Changes in the Loess Plateau Based on COST-G GRACE Temporal Model
[6]
SU Yong,WEI Wei,LI Qiong,GU Yanchao. Drought Monitoring in Southwest China in 2010 Using Three-Dimensional Acceleration Point-Mass Modeling Approach
[7]
XUAN Jianhao,CHEN Zhiwei,ZHANG Xingfu,LIANG Chenghao,WU Bo. Combining GRACE and GRACE-FO to Derive Terrestrial Water Storage Changes in the Yangtze River Basin from 2002 to 2020
[8]
JI Chunling，DONG Bo，ZHANG Yang，ZHOU Anpin. Study on Temporal and Spatial Variation of Fluid Solid Tide Parameters before the Tangshan Guye MS5.1 Earthquake in 2020
[9]
YIN Weiwei，ZHANG Hui. Using Focal Mechanism to Distinguish Types of Earthquake Events in Shanxi
[10]
ZHAO Rui，ZHU Xinyun，LI Junchao. Exploring the Attenuation Characteristics of Coda Wave of Lg-Wave at Zhongxiang Seismic Station by Using Stack Spectral Ration Method
[11]
WANG Juntao,ZHU Yongchao,GAO Fei,LI Jiangyang,TAO Tingye. Research on Detection Method of Water Distribution of Spaceborne GNSS-R Based on CYGNSS Data
[12]
LI Chengtao，LI Qi，TAN Kai，LU Xiaofei，ZUO Xiao. Coseismic Deformation Field of the 2020 Turkey MW5.7 Earthquake from Sentinel-1A InSAR Data and Rupture Slip Distribution
[13]
DAI Zhihong，LU Peng，ZHANG Zhifang，WANG Xiaolong，XU Guo，DONG Jianming. Surface Subsidence Monitoring and Analysis of Nanning Based on PS-InSAR Technology
[14]
GAO Chenxuan，KE Baogui，ZHANG Chuanyin，LI Wanqiu，ZHANG Jian. Monitoring of Surface Vertical Deformation from Terrestrial Water Loading in Taizhou Region by the CORS Network
[15]
NIE Shihai，ZHANG Xianyun，FU Ting，ZHAO Feifei. Soil Moisture Retrieval Based on BDS Triple-Frequency Phase Multipath Error
