Monitoring the Catastrophic Flood With GRACE-FO and Near-Real-Time Precipitation Data in Northern Henan Province of China in July 2021

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 16; pp. 89 - 101
• Main Authors: Xiao, Cuiyu, Zhong, Yulong, Feng, Wei, Gao, Wei, Wang, Zhonghua, Zhong, Min, Ji, Bing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anomalies; Casualties; Daily; Data collection; Emergency preparedness; Emergency response; Environmental risk; Extreme weather; Flash flooding; Flash floods; Flood; Flood control; Flood damage; Flood management; Flood warnings; Floods; GRACE-FO; Gravity; Hydrologic data; Hydrology; Indexes; Moisture content; Moisture effects; Monitoring; northern Henan Province; Precipitation; precipitation reconstruction; Property damage; Rain; Rainfall; rainstorm; Rainstorms; Real time; Risk management; Rivers; Runoff; Soil moisture; Spatial resolution; Temporal resolution; Water storage; China; Henan China
• ISSN: 1939-1404; 2151-1535
• DOI: 10.1109/JSTARS.2022.3223790

Zhengzhou and its surrounding areas, located in northern Henan Province, China, receive continuous extreme rainfall from July 17 to July 22, 2021. Northern Henan Province experiences extensive flash floods and urban floods, causing severe casualties and property damage. Understanding the variation of hydrologic features during this flood event could be valuable for future flood emergency response work and flood risk management. This study first demonstrates the rainstorm process based on near-real-time precipitation data from the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0). To meet the temporal resolution required for monitoring this short-term flood event, reconstructed daily terrestrial water storage anomalies (TWSAs) based on GRACE and GRACE-FO data and CLDAS-V2.0 datasets are first introduced. The spatial and temporal evolution of the reconstructed daily TWSA is analyzed in the study area during this heavy rainfall event. We further employ a wetness index based on the reconstructed daily TWSA for flood warnings. Furthermore, the modeled soil moisture data and daily runoff data are used for flood monitoring. Results show that the reconstructed daily TWSA increases by 437.7 mm in just six days (from July 17 to July 22, 2021), with a terrestrial water storage increment of 9.4 km 3 . Compared with ITSG-Grace2018, the reconstructed daily TWSA has better potential for near-real-time flood monitoring for short-term events in a small region. The wetness index derived from reconstructed daily TWSA is potential for flood early warning.