Inundation characteristics of typhoon-induced rainfall in Zhuhai based on Sentinel-1A SAR images
[Purposes]Based on radar remote sensing satellite images,this paper aims to explore the inundation characteristics of typhoon-induced rainfall in urban areas of Zhuhai City,so as to solve the problem of not being able to accurately obtain the inundation scope during the passage of a typhoon.[Methods]Firstly,Sentinel-1A synthetic aperture radar(SAR)images and an annual dataset of global surface water were selected to obtain the inundation scope in the main urban area of Zhuhai City in the corresponding time period by using the threshold segmentation method and the dual-polarized water index.Then,combined with the digital elevation model and the land-use type data,the spatial characteristics and causes of inundation scopes caused by rainfalls during the passage of 10 typhoons from 2015 to 2022 were analyzed by using the ArcGIS platform.Through the hierarchical analysis method,the inundation risk in the main urban area of Zhuhai City caused by typhoon-induced rainfalls was analyzed in terms of inundation possibility,tidal flood control capacity,elevation,and river network density.[Findings]In the inundation scopes generated by typhoon-induced and non-typhoon-induced rainfalls,Doumen District is the administrative district with the largest inundation area,and inundation is the most frequent in the areas with denser river networks in Zhuhai City,followed by urban and rural residential land use;some areas in Zhuhai City are susceptible to inundation due to the impacts of typhoon-induced rainfall,and the inundation risk is high.[Conclusions]Using Sentinel-1A SAR images combined with a dual-polarized water index can obtain more accurate information on the inundation scope of typhoon-induced rainfall.During the passage of typhoons,more attention should be paid to the disaster situation in areas with low elevation and areas with dense water system distribution.
inundation scopetyphoon-induced rainfallspatial characteristicSentinel-1Ainundation riskdual-polarized water index
万方数据
维普
