Urban waterlogging risk assessment and drainage parameters design of Xicen Science and Technology Innovation Center based on satellite remote sensing data

Under global warming, the increase in extreme rainfall events has led to a significant rise in the frequency of urban waterlogging disasters, and major cities are facing severe risks of waterlogging. In this paper, the revised "annual maximum method" was utilized to develop the rainfall intensity formula suitable for Xicen Science and Technology Innovation Center (XICEN). Based on satellite remote sensing data and SCS-CN model, we evaluated the urban waterlogging risks under five extreme rainfall scenarios with return periods of 5a, 10a, 20a, 50a, and 100a through the inversion method of critical rainfall. The results indicate that when the hourly rainfall exceeds 50mm, waterlogging may affect the entire study area. Furthermore, as return period extends, the risk of waterlogging also increases. Under the scenario of 5a return period, the waterlogging risk is mainly categorized as mid-low or low risk; however, under the scenario of 100a return period, the waterlogging risk of XICEN exceeds mid-high levels. These findings can serve as references for urban waterlogging disaster response and future construction planning.