Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2529-2016
© Author(s) 2016. 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-16-2529-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Nov 2016
Research article |
| 30 Nov 2016
Analyzing the sensitivity of a flood risk assessment model towards its input data
Hanne Glas
CORRESPONDING AUTHOR
Department of Civil Engineering, Ghent University, Ghent, 9000,
Belgium
Greet Deruyter
Department of Civil Engineering, Ghent University, Ghent, 9000,
Belgium
Philippe De Maeyer
Department of Geography, Ghent University, Ghent, 9000, Belgium
Arpita Mandal
Department of Geography and Geology, University of the West Indies,
Mona Campus, Jamaica
Sherene James-Williamson
Department of Geography and Geology, University of the West Indies,
Mona Campus, Jamaica
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Cited
16 citations as recorded by crossref.
- A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain N. Chen et al. 10.3390/su11102734
- A Framework for Calculating Peak Discharge and Flood Inundation in Ungauged Urban Watersheds Using Remotely Sensed Precipitation Data: A Case Study in Freetown, Sierra Leone A. Cotugno et al. 10.3390/rs13193806
- Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. 10.1016/j.jag.2018.06.019
- Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt K. Abdrabo et al. 10.3390/rs12213548
- Assessing flood disaster impacts in agriculture under climate change in the river basins of Southeast Asia B. Shrestha et al. 10.1007/s11069-019-03632-1
- Small Island City Flood Risk Assessment: The Case of Kingston, Jamaica A. Rivosecchi & M. Singh 10.3390/w15223936
- Flood Risk Mapping Worldwide: A Flexible Methodology and Toolbox H. Glas et al. 10.3390/w11112371
- Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. 10.1016/j.ijdrr.2023.103901
- Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models W. Li et al. 10.1016/j.jhydrol.2019.03.002
- A sensitivity analysis for tissue development by varying model parameters and input variables Á. Paim et al. 10.1002/cjce.23171
- Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo 10.1111/jfr3.12530
- Quantitative assessment of flood risk with evaluation of the effectiveness of dam operation for flood control: A case of the Bago River Basin of Myanmar B. Shrestha & A. Kawasaki 10.1016/j.ijdrr.2020.101707
- Wind disasters adaptation in cities in a changing climate: A systematic review Y. He et al. 10.1371/journal.pone.0248503
- Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. 10.1016/j.ejrh.2021.100872
- Development of a low‐cost methodology for data acquisition and flood risk assessment in the floodplain of the river Moustiques in Haiti H. Glas et al. 10.1111/jfr3.12608
- Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar B. Shrestha et al. 10.1016/j.ijdrr.2021.102602
16 citations as recorded by crossref.
- A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain N. Chen et al. 10.3390/su11102734
- A Framework for Calculating Peak Discharge and Flood Inundation in Ungauged Urban Watersheds Using Remotely Sensed Precipitation Data: A Case Study in Freetown, Sierra Leone A. Cotugno et al. 10.3390/rs13193806
- Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. 10.1016/j.jag.2018.06.019
- Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt K. Abdrabo et al. 10.3390/rs12213548
- Assessing flood disaster impacts in agriculture under climate change in the river basins of Southeast Asia B. Shrestha et al. 10.1007/s11069-019-03632-1
- Small Island City Flood Risk Assessment: The Case of Kingston, Jamaica A. Rivosecchi & M. Singh 10.3390/w15223936
- Flood Risk Mapping Worldwide: A Flexible Methodology and Toolbox H. Glas et al. 10.3390/w11112371
- Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. 10.1016/j.ijdrr.2023.103901
- Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models W. Li et al. 10.1016/j.jhydrol.2019.03.002
- A sensitivity analysis for tissue development by varying model parameters and input variables Á. Paim et al. 10.1002/cjce.23171
- Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo 10.1111/jfr3.12530
- Quantitative assessment of flood risk with evaluation of the effectiveness of dam operation for flood control: A case of the Bago River Basin of Myanmar B. Shrestha & A. Kawasaki 10.1016/j.ijdrr.2020.101707
- Wind disasters adaptation in cities in a changing climate: A systematic review Y. He et al. 10.1371/journal.pone.0248503
- Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. 10.1016/j.ejrh.2021.100872
- Development of a low‐cost methodology for data acquisition and flood risk assessment in the floodplain of the river Moustiques in Haiti H. Glas et al. 10.1111/jfr3.12608
- Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar B. Shrestha et al. 10.1016/j.ijdrr.2021.102602
Latest update: 19 Apr 2024
Short summary
Adequate flood damage assessments can help to minimize damage costs in the SIDS. Data availability is, however, a major issue in these areas. In order to determine the minimal data necessary for an adequate result, a sensitivity analysis was performed on the input data. This has shown that population density, in combination with an average number of people per household, is a good parameter to determine building damage. Furthermore, a complete road dataset is visually indispensable.
Adequate flood damage assessments can help to minimize damage costs in the SIDS. Data...
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