Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China

Yan Chen, Hao Hou, Yao Li, Luoyang Wang, Jinjin Fan, Ben Wang and Tangao Hu
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Yan Chen: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
Hao Hou: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
Yao Li: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands
Luoyang Wang: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
Jinjin Fan: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
Ben Wang: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
Tangao Hu: Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China

IJERPH, 2022, vol. 19, issue 12, 1-18

Abstract: Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting the attention of both researchers and governors. The accurate simulation of urban inundation is essential for the prevention of inundation hazards. In this study, a 1D pipe network and a 2D urban inundation coupling model constructed by InfoWorks ICM was used to simulate the inundation conditions in the typical urbanized area in the north of Lin’an. Two historical rainfall events in 2020 were utilized to verify the modeling results. The spatial–temporal variation and the causes of urban inundation under different designed rainfalls were studied. The results were as follows: (1) The constructed model had a good simulation accuracy, the Nash–Sutcliffe efficiency coefficient was higher than 0.82, R 2 was higher than 0.87, and the relative error was ±20%. (2) The simulation results of different designed rainfall scenarios indicated that the maximum inundation depth and inundation extent increased with the increase in the return period, rainfall peak position coefficient, and rainfall duration. According to the analysis results, the urban inundation in Lin’an is mainly affected by topography, drainage network (spatial distribution and pipe diameter), and rainfall patterns. The results are supposed to provide technical support and a decision-making reference for the urban management department of Lin’an to design inundation prevention measures.

Keywords: urban inundation; InfoWorks ICM; designed rainfalls; Lin’an city (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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