Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-2067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A generic physical vulnerability model for floods: review and concept for data-scarce regions
Mark Bawa Malgwi
CORRESPONDING AUTHOR
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
Sven Fuchs
University of Natural Resources and Life Sciences, Institute of
Mountain Risk Engineering, Peter-Jordan-Str. 82, 1190 Vienna, Austria
Margreth Keiler
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
University of Bern, Mobiliar Lab for Natural Risks, Hallerstrasse 12, 3012 Bern, Switzerland
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- Risk Assessment of Flash Flood to Buildings Using an Indicator-Based Methodology: A Case Study of Mountainous Rural Settlements in Southwest China Y. Zhen et al. 10.3389/fenvs.2022.931029
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- Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: Review of indicators and example of parameters selection for a sample area R. Agliata et al. 10.1016/j.ijdrr.2021.102199
- Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research N. Sultana & S. Paul 10.1016/j.hydres.2024.06.002
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1 citations as recorded by crossref.
Latest update: 04 Nov 2024
Short summary
Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
Mitigation planning and economic loss assessment generally rely on flood damage prediction...
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