Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3815-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3815-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Nov 2022
Research article |
| 28 Nov 2022
| 28 Nov 2022
Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models
Qinke Sun
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
Institute of Remote Sensing and Earth Sciences, School of Information
Science and Technology, Hangzhou Normal University, Hangzhou 311121, China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional
Change, Hangzhou 311121, China
Xuewei Dang
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070,
China
Kepeng Xu
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
Yongqiang Fang
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
Min Liu
CORRESPONDING AUTHOR
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai 200241, China
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Cited
15 citations as recorded by crossref.
- Combined effects of future urban development and rainfall patterns on flood characteristics in the Qinhuai River basin Y. Gao et al. 10.1016/j.uclim.2024.102256
- Study on multiscale-multivariate prediction and risk assessment of urban flood Y. Wang et al. 10.1016/j.envsoft.2024.105958
- The Impact of Climate Change and Urbanization on Compound Flood Risks in Coastal Areas: A Comprehensive Review of Methods X. Ruan et al. 10.3390/app142110019
- Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm D. Garshasbi et al. 10.1016/j.indic.2024.100559
- Sustainable urban planning to control flood exposure in the coastal zones of China Y. Wu et al. 10.1007/s10980-024-01951-8
- Application of NEXRAD precipitation data for assessing the implications of low development practices in an ungauged basin A. Aryal & A. Kalra 10.1002/rvr2.55
- An open framework for analysing future flood risk in urban areas O. Butters et al. 10.1016/j.envsoft.2024.106302
- Comprehensive flood risk assessment in highly developed urban areas B. Dong et al. 10.1016/j.jhydrol.2024.132391
- Optimization of Manning’s roughness coefficient using 1-dimensional hydrodynamic modelling in the perennial river system: A case of lower Narmada Basin, India A. Bhargav et al. 10.1007/s10661-024-12883-w
- Typhoon and flooding occurrences on Chongming Island, Changjiang Estuary, as revealed by a newly acquired sedimentary record P. Zhao et al. 10.3389/fmars.2024.1366676
- A Study on Identification of Urban Waterlogging Risk Factors Based on Satellite Image Semantic Segmentation and XGBoost J. Tong et al. 10.3390/su15086434
- Exploring sustainable watershed flood risks management: An innovative TFAHP-TOPSIS methodology in the Georges River Basin, Australia H. Sun et al. 10.1016/j.ijdrr.2024.104626
- Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques A. Khoshkonesh et al. 10.1016/j.scitotenv.2024.175859
- SEA for better climate adaptation in the face of the flood risk: Multi-scenario, strategic forecasting, nature-based solutions X. Qin et al. 10.1016/j.eiar.2024.107495
- Understanding the evolution trend of urban flood risk and resilience for better flood management W. Chen et al. 10.1016/j.ecolind.2024.112829
15 citations as recorded by crossref.
- Combined effects of future urban development and rainfall patterns on flood characteristics in the Qinhuai River basin Y. Gao et al. 10.1016/j.uclim.2024.102256
- Study on multiscale-multivariate prediction and risk assessment of urban flood Y. Wang et al. 10.1016/j.envsoft.2024.105958
- The Impact of Climate Change and Urbanization on Compound Flood Risks in Coastal Areas: A Comprehensive Review of Methods X. Ruan et al. 10.3390/app142110019
- Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm D. Garshasbi et al. 10.1016/j.indic.2024.100559
- Sustainable urban planning to control flood exposure in the coastal zones of China Y. Wu et al. 10.1007/s10980-024-01951-8
- Application of NEXRAD precipitation data for assessing the implications of low development practices in an ungauged basin A. Aryal & A. Kalra 10.1002/rvr2.55
- An open framework for analysing future flood risk in urban areas O. Butters et al. 10.1016/j.envsoft.2024.106302
- Comprehensive flood risk assessment in highly developed urban areas B. Dong et al. 10.1016/j.jhydrol.2024.132391
- Optimization of Manning’s roughness coefficient using 1-dimensional hydrodynamic modelling in the perennial river system: A case of lower Narmada Basin, India A. Bhargav et al. 10.1007/s10661-024-12883-w
- Typhoon and flooding occurrences on Chongming Island, Changjiang Estuary, as revealed by a newly acquired sedimentary record P. Zhao et al. 10.3389/fmars.2024.1366676
- A Study on Identification of Urban Waterlogging Risk Factors Based on Satellite Image Semantic Segmentation and XGBoost J. Tong et al. 10.3390/su15086434
- Exploring sustainable watershed flood risks management: An innovative TFAHP-TOPSIS methodology in the Georges River Basin, Australia H. Sun et al. 10.1016/j.ijdrr.2024.104626
- Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques A. Khoshkonesh et al. 10.1016/j.scitotenv.2024.175859
- SEA for better climate adaptation in the face of the flood risk: Multi-scenario, strategic forecasting, nature-based solutions X. Qin et al. 10.1016/j.eiar.2024.107495
- Understanding the evolution trend of urban flood risk and resilience for better flood management W. Chen et al. 10.1016/j.ecolind.2024.112829
Latest update: 14 Jan 2025
Short summary
Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Flooding by extreme weather events and human activities can lead to catastrophic impacts in...
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