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.
Research article
| 
31 Jul 2020
Research article |
| 31 Jul 2020
| 31 Jul 2020
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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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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