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

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...

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Autores principales: Chen, Yan, Hou, Hao, Li, Yao, Wang, Luoyang, Fan, Jinjin, Wang, Ben, Hu, Tangao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223009/
https://www.ncbi.nlm.nih.gov/pubmed/35742457
http://dx.doi.org/10.3390/ijerph19127210
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author Chen, Yan
Hou, Hao
Li, Yao
Wang, Luoyang
Fan, Jinjin
Wang, Ben
Hu, Tangao
author_facet Chen, Yan
Hou, Hao
Li, Yao
Wang, Luoyang
Fan, Jinjin
Wang, Ben
Hu, Tangao
author_sort Chen, Yan
collection PubMed
description 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.
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spelling pubmed-92230092022-06-24 Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China Chen, Yan Hou, Hao Li, Yao Wang, Luoyang Fan, Jinjin Wang, Ben Hu, Tangao Int J Environ Res Public Health Article 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. MDPI 2022-06-12 /pmc/articles/PMC9223009/ /pubmed/35742457 http://dx.doi.org/10.3390/ijerph19127210 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Yan
Hou, Hao
Li, Yao
Wang, Luoyang
Fan, Jinjin
Wang, Ben
Hu, Tangao
Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title_full Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title_fullStr Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title_full_unstemmed Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title_short Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China
title_sort urban inundation under different rainstorm scenarios in lin’an city, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223009/
https://www.ncbi.nlm.nih.gov/pubmed/35742457
http://dx.doi.org/10.3390/ijerph19127210
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