Articles | Volume 16, issue 3
https://doi.org/10.5194/nhess-16-833-2016
© 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-16-833-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Mar 2016
Research article |
| 23 Mar 2016
Regional prioritisation of flood risk in mountainous areas
María Carolina Rogelis
CORRESPONDING AUTHOR
UNESCO-IHE, P.O. Box 3015, 2601DA Delft, the Netherlands
Micha Werner
UNESCO-IHE, P.O. Box 3015, 2601DA Delft, the Netherlands
Deltares, P.O. Box 177, 2600MH Delft, the Netherlands
Nelson Obregón
Universidad Javeriana, KR 7 No 40-62, Bogotá, Colombia
Nigel Wright
School of Civil Engineering, University of Leeds, Leeds, LS2 9JT, UK
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Cited
12 citations as recorded by crossref.
- Upgrading of an index-oriented methodology for consequence analysis of natural hazards: application to the Upper Guil catchment (southern French Alps) B. Carlier et al. 10.5194/nhess-18-2221-2018
- The application of frameworks for measuring social vulnerability and resilience to geophysical hazards within developing countries: A systematic review and narrative synthesis J. Ran et al. 10.1016/j.scitotenv.2019.134486
- Terminology of natural hazards and disasters: A review and the case of Brazil B. Monte et al. 10.1016/j.ijdrr.2020.101970
- Review article: A systematic review and future prospects of flood vulnerability indices L. Moreira et al. 10.5194/nhess-21-1513-2021
- Construction of an integrated social vulnerability index in urban areas prone to flash flooding E. Aroca-Jimenez et al. 10.5194/nhess-17-1541-2017
- Flood risk assessment in South Asia to prioritize flood index insurance applications in Bihar, India K. Matheswaran et al. 10.1080/19475705.2018.1500495
- Prioritizing Flood-Prone Areas Using Spatial Data in the Province of New Brunswick, Canada S. Henry et al. 10.3390/geosciences10120478
- Effects of Different Normalization, Aggregation, and Classification Methods on the Construction of Flood Vulnerability Indexes L. Moreira et al. 10.3390/w13010098
- The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. 10.3389/fmars.2022.939380
- A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region A. Sergeev et al. 10.1016/j.apr.2023.102000
- Spatial distribution patterns and potential exposure risks of urban floods in Chinese megacities C. Li et al. 10.1016/j.jhydrol.2022.127838
- Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach L. Moreira et al. 10.3389/frwa.2023.970469
12 citations as recorded by crossref.
- Upgrading of an index-oriented methodology for consequence analysis of natural hazards: application to the Upper Guil catchment (southern French Alps) B. Carlier et al. 10.5194/nhess-18-2221-2018
- The application of frameworks for measuring social vulnerability and resilience to geophysical hazards within developing countries: A systematic review and narrative synthesis J. Ran et al. 10.1016/j.scitotenv.2019.134486
- Terminology of natural hazards and disasters: A review and the case of Brazil B. Monte et al. 10.1016/j.ijdrr.2020.101970
- Review article: A systematic review and future prospects of flood vulnerability indices L. Moreira et al. 10.5194/nhess-21-1513-2021
- Construction of an integrated social vulnerability index in urban areas prone to flash flooding E. Aroca-Jimenez et al. 10.5194/nhess-17-1541-2017
- Flood risk assessment in South Asia to prioritize flood index insurance applications in Bihar, India K. Matheswaran et al. 10.1080/19475705.2018.1500495
- Prioritizing Flood-Prone Areas Using Spatial Data in the Province of New Brunswick, Canada S. Henry et al. 10.3390/geosciences10120478
- Effects of Different Normalization, Aggregation, and Classification Methods on the Construction of Flood Vulnerability Indexes L. Moreira et al. 10.3390/w13010098
- The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. 10.3389/fmars.2022.939380
- A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region A. Sergeev et al. 10.1016/j.apr.2023.102000
- Spatial distribution patterns and potential exposure risks of urban floods in Chinese megacities C. Li et al. 10.1016/j.jhydrol.2022.127838
- Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach L. Moreira et al. 10.3389/frwa.2023.970469
Saved (preprint)
Latest update: 25 Apr 2024
Short summary
A method to identify mountainous watersheds with the highest flood risk at the regional level is proposed and applied in Bogotá (Colombia). Vulnerability at the regional level was assessed and combined with an existing flood susceptibility indicator, thus providing an index that allows the watersheds to be prioritised. Results show that vulnerability can be expressed in terms of four constituent indicators and a sensitivity analysis shows that the classification of vulnerability is robust.
A method to identify mountainous watersheds with the highest flood risk at the regional level is...
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