Articles | Volume 17, issue 3
https://doi.org/10.5194/nhess-17-315-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-315-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2017
Research article |
| 07 Mar 2017
An examination of land use impacts of flooding induced by sea level rise
Jie Song
Department of Urban and Regional Planning, University of Florida,
Gainesville, Florida, FL 32611, USA
Xinyu Fu
Department of Urban and Regional Planning, University of Florida,
Gainesville, Florida, FL 32611, USA
Yue Gu
Department of Urban and Regional Planning, University of Florida,
Gainesville, Florida, FL 32611, USA
Yujun Deng
Department of Urban and Regional Planning, University of Florida,
Gainesville, Florida, FL 32611, USA
Zhong-Ren Peng
CORRESPONDING AUTHOR
Department of Urban and Regional Planning, University of Florida,
Gainesville, Florida, FL 32611, USA
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key
Laboratory of Ocean Engineering, School of Naval Architecture, Ocean
and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
China Institute for Urban Governance, Shanghai Jiao Tong
University, Shanghai 200240, China
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Cited
18 citations as recorded by crossref.
- Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area D. Liu et al. 10.1016/j.compenvurbsys.2020.101545
- Does planned retreat matter? Investigating land use change under the impacts of flooding induced by sea level rise J. Song et al. 10.1007/s11027-017-9756-x
- Simulating Future Exposure to Coastal Urban Flooding Using a Neural Network–Markov Model A. Frifra et al. 10.3390/jmse12050800
- A Two-Period Model of Coastal Urban Adaptation Supported by Climate Services D. Kovalevsky & J. Scheffran 10.3390/urbansci6040065
- Advancing scenario planning through integrating urban growth prediction with future flood risk models Y. Kim & G. Newman 10.1016/j.compenvurbsys.2020.101498
- Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area S. Rifat & W. Liu 10.1016/j.landusepol.2022.105994
- Utilizing a cellular automaton model to explore the influence of coastal flood adaptation strategies on Helsinki's urbanization patterns A. Votsis 10.1016/j.compenvurbsys.2017.04.005
- Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston Y. Kim & G. Newman 10.3390/su11041048
- A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models Y. Kim et al. 10.3390/land9080246
- How suitable are current approaches to simulate flood risk under future urbanization trends? V. Zwirglmaier et al. 10.1088/1748-9326/ad536f
- The hidden threat of heavy metal leaching in urban runoff: Investigating the long-term consequences of land use changes on human health risk exposure S. Soltaninia et al. 10.1016/j.envres.2024.118668
- Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data K. Ahmed & S. Akter 10.1016/j.rsase.2017.08.010
- Cities on the Coast and Patterns of Movement between Population Growth and Diffusion D. Kovalevsky et al. 10.3390/e23081041
- Urban growth modeling for the assessment of future climate and disaster risks: approaches, gaps and needs A. Reimuth et al. 10.1088/1748-9326/ad1082
- Impact Assessment Analysis of Sea Level Rise in Denmark: A Case Study of Falster Island, Guldborgsund A. Boest-Petersen et al. 10.3390/su13137503
- Assessing the Economic Costs of Sea Level Rise and Benefits of Coastal Protection: A Spatiotemporal Approach X. Fu & J. Song 10.3390/su9081495
- Risk assessment of shanghai extreme flooding under the land use change scenario X. Shan et al. 10.1007/s11069-021-04978-1
- A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment E. Stamellou et al. 10.3390/hydrology8040159
18 citations as recorded by crossref.
- Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area D. Liu et al. 10.1016/j.compenvurbsys.2020.101545
- Does planned retreat matter? Investigating land use change under the impacts of flooding induced by sea level rise J. Song et al. 10.1007/s11027-017-9756-x
- Simulating Future Exposure to Coastal Urban Flooding Using a Neural Network–Markov Model A. Frifra et al. 10.3390/jmse12050800
- A Two-Period Model of Coastal Urban Adaptation Supported by Climate Services D. Kovalevsky & J. Scheffran 10.3390/urbansci6040065
- Advancing scenario planning through integrating urban growth prediction with future flood risk models Y. Kim & G. Newman 10.1016/j.compenvurbsys.2020.101498
- Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area S. Rifat & W. Liu 10.1016/j.landusepol.2022.105994
- Utilizing a cellular automaton model to explore the influence of coastal flood adaptation strategies on Helsinki's urbanization patterns A. Votsis 10.1016/j.compenvurbsys.2017.04.005
- Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston Y. Kim & G. Newman 10.3390/su11041048
- A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models Y. Kim et al. 10.3390/land9080246
- How suitable are current approaches to simulate flood risk under future urbanization trends? V. Zwirglmaier et al. 10.1088/1748-9326/ad536f
- The hidden threat of heavy metal leaching in urban runoff: Investigating the long-term consequences of land use changes on human health risk exposure S. Soltaninia et al. 10.1016/j.envres.2024.118668
- Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data K. Ahmed & S. Akter 10.1016/j.rsase.2017.08.010
- Cities on the Coast and Patterns of Movement between Population Growth and Diffusion D. Kovalevsky et al. 10.3390/e23081041
- Urban growth modeling for the assessment of future climate and disaster risks: approaches, gaps and needs A. Reimuth et al. 10.1088/1748-9326/ad1082
- Impact Assessment Analysis of Sea Level Rise in Denmark: A Case Study of Falster Island, Guldborgsund A. Boest-Petersen et al. 10.3390/su13137503
- Assessing the Economic Costs of Sea Level Rise and Benefits of Coastal Protection: A Spatiotemporal Approach X. Fu & J. Song 10.3390/su9081495
- Risk assessment of shanghai extreme flooding under the land use change scenario X. Shan et al. 10.1007/s11069-021-04978-1
- A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment E. Stamellou et al. 10.3390/hydrology8040159
Latest update: 20 Nov 2024
Short summary
Coastal settlements face unprecedented pressures from sea level variations. To investigate such issues, we applied a land change model to simulate three scenarios of urban growth under different land use policies and validated the model in Bay County, Florida (USA). The work shows that strict flood mitigation strategies mitigate greatly the urban exposure to sea-level-rise-induced flooding. Planners and hazard mitigation teams can use the procedures to strengthen coastal planning and management.
Coastal settlements face unprecedented pressures from sea level variations. To investigate such...
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