Based on station precipitation observations,radar quantitative precipitation estimates(QPE),and radar fusion data during Typhoon Fitow(2013),the influence of multisource precipitation data on multiscale urban typhoon pluvial flood modeling is studied.Using Shanghai,China,as the study area,a simplified 2D hydrodynamic model is applied to simulations.Combined with actual flood incidents reported by the public and soil moisture data,we perform multiscale verifications and determine the applicability of three precipitation datasets in the modeling.The results are as follows:(1)At the city scale,although QPE have higher spatial resolution,these estimates are lower than station observations.Radar fusion data have both high accuracy and high spatial resolution.For flood depths above 5 cm,the radar fusion precipitation scenario can improve the match-ing probability by 6％.(2)At the neighborhood scale,the radar fusion precipitation scenario can effectively mitigate the problems of an uneven spatial distribution of stations and a weak QPE to accurately capture pluvial details.(3)One fixed-point assessment shows that different precipitation data have little influence on the temporal characteristics of the modeling result—all three types of data can accurately reflect flood occurrence times.This work can provide a sci-entific basis for constructing effective urban pluvial flood monitoring systems.

Yi Lu;Jie Yin;Dandan Wang;Yuhan Yang;Hui Yu;Peiyan Chen;Shuai Zhang

Key Laboratory of Geographic Information Science(Ministry of Education),East China Normal University,Shanghai 200241,China;Shanghai Typhoon Institute,China Meteorological Administration,Shanghai 200030,China;Key Laboratory of Numerical Modeling for Tropical Cyclone of China Meteorological Administration,Shanghai 20030,China;Institute of Eco-Chongming,East China Normal University,Shanghai 202162,China;Research Center for China Administrative Division,East China Normal University,Shanghai 202162,China;National Disaster Reduction Center of China,Beijing 100124,China;State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai,China

国际灾害风险科学学报（英文版）

[1]Yi Lu;Jie Yin;Dandan Wang;Yuhan Yang;Hui Yu;Peiyan Chen;Shuai Zhang-.Evaluating the Influence of Multisource Typhoon Precipitation Data on Multiscale Urban Pluvial Flood Modeling)[J].国际灾害风险科学学报（英文版）,2022(06):974-986

Multisource,Pluvial,Fitow,pluvial

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