Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data

Global climate change and rapid urbanization have caused increases in urban floods. Urban flood risk assessment is a vital method for preventing and controlling such disasters. This paper takes the central region of Cangzhou city in Hebei Province as an example. Detailed topographical information, s...

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Autores principales: Lidong Zhao, Ting Zhang, Jun Fu, Jianzhu Li, Zhengxiong Cao, Ping Feng
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/52e44b99b720409588912c5b910b006b
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spelling oai:doaj.org-article:52e44b99b720409588912c5b910b006b2021-11-11T18:55:08ZRisk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data10.3390/rs132143812072-4292https://doaj.org/article/52e44b99b720409588912c5b910b006b2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4381https://doaj.org/toc/2072-4292Global climate change and rapid urbanization have caused increases in urban floods. Urban flood risk assessment is a vital method for preventing and controlling such disasters. This paper takes the central region of Cangzhou city in Hebei Province as an example. Detailed topographical information, such as the buildings and roads in the study area, was extracted from GF-2 data. By coupling the two models, the SWMM and MIKE21, the spatial distribution of the inundation region, and the water depth in the study area under different return periods, were simulated in detail. The results showed that, for the different return periods, the inundation region was generally consistent. However, there was a large increase in the mean inundation depth within a 10-to-30-year return period, and the increase in the maximum inundation depth and inundation area remained steady. The comprehensive runoff coefficient in all of the scenarios exceeded 0.8, indicating that the drainage system in the study area is insufficient and has a higher flood risk. The flood risk of the study area was evaluated based on the damage curve, which was obtained from field investigations. The results demonstrate that the loss per unit area was less than CNY 250/m<sup>2</sup> in each return period in the majority of the damaged areas. Additionally, the total loss was mainly influenced by the damaged area, but, in commercial areas, the total loss was highly sensitive to the inundation depth.Lidong ZhaoTing ZhangJun FuJianzhu LiZhengxiong CaoPing FengMDPI AGarticleurban flooddamage curverisk assessmentGF-2 datacoupled modelScienceQENRemote Sensing, Vol 13, Iss 4381, p 4381 (2021)
institution DOAJ
collection DOAJ
language EN
topic urban flood
damage curve
risk assessment
GF-2 data
coupled model
Science
Q
spellingShingle urban flood
damage curve
risk assessment
GF-2 data
coupled model
Science
Q
Lidong Zhao
Ting Zhang
Jun Fu
Jianzhu Li
Zhengxiong Cao
Ping Feng
Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
description Global climate change and rapid urbanization have caused increases in urban floods. Urban flood risk assessment is a vital method for preventing and controlling such disasters. This paper takes the central region of Cangzhou city in Hebei Province as an example. Detailed topographical information, such as the buildings and roads in the study area, was extracted from GF-2 data. By coupling the two models, the SWMM and MIKE21, the spatial distribution of the inundation region, and the water depth in the study area under different return periods, were simulated in detail. The results showed that, for the different return periods, the inundation region was generally consistent. However, there was a large increase in the mean inundation depth within a 10-to-30-year return period, and the increase in the maximum inundation depth and inundation area remained steady. The comprehensive runoff coefficient in all of the scenarios exceeded 0.8, indicating that the drainage system in the study area is insufficient and has a higher flood risk. The flood risk of the study area was evaluated based on the damage curve, which was obtained from field investigations. The results demonstrate that the loss per unit area was less than CNY 250/m<sup>2</sup> in each return period in the majority of the damaged areas. Additionally, the total loss was mainly influenced by the damaged area, but, in commercial areas, the total loss was highly sensitive to the inundation depth.
format article
author Lidong Zhao
Ting Zhang
Jun Fu
Jianzhu Li
Zhengxiong Cao
Ping Feng
author_facet Lidong Zhao
Ting Zhang
Jun Fu
Jianzhu Li
Zhengxiong Cao
Ping Feng
author_sort Lidong Zhao
title Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
title_short Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
title_full Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
title_fullStr Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
title_full_unstemmed Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 Data
title_sort risk assessment of urban floods based on a swmm-mike21-coupled model using gf-2 data
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/52e44b99b720409588912c5b910b006b
work_keys_str_mv AT lidongzhao riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
AT tingzhang riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
AT junfu riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
AT jianzhuli riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
AT zhengxiongcao riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
AT pingfeng riskassessmentofurbanfloodsbasedonaswmmmike21coupledmodelusinggf2data
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