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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/21/4381 |
| _version_ | 1797511851359076352 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:53:48Z |
| format | Article |
| id | doaj.art-52e44b99b720409588912c5b910b006b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:53:48Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-52e44b99b720409588912c5b910b006b2023-11-22T21:32:42ZengMDPI AGRemote Sensing2072-42922021-10-011321438110.3390/rs13214381Risk Assessment of Urban Floods Based on a SWMM-MIKE21-Coupled Model Using GF-2 DataLidong Zhao0Ting Zhang1Jun Fu2Jianzhu Li3Zhengxiong Cao4Ping Feng5State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaInternational College, National Institute of Development Administration, Bangkok 10240, ThailandState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaGlobal 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.https://www.mdpi.com/2072-4292/13/21/4381urban flooddamage curverisk assessmentGF-2 datacoupled model |
| spellingShingle | 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 Remote Sensing urban flood damage curve risk assessment GF-2 data coupled model |
| title | 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_short | 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 |
| topic | urban flood damage curve risk assessment GF-2 data coupled model |
| url | https://www.mdpi.com/2072-4292/13/21/4381 |
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