Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 20, issue 7
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.
https://doi.org/10.5194/nhess-20-2067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 7
Research article
 | 
31 Jul 2020
Research article |  | 31 Jul 2020

A generic physical vulnerability model for floods: review and concept for data-scarce regions

Mark Bawa Malgwi, Sven Fuchs, and Margreth Keiler

Viewed

Total article views: 212,741 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,167 1,940 205,634 212,741 117 121
  • HTML: 5,167
  • PDF: 1,940
  • XML: 205,634
  • Total: 212,741
  • BibTeX: 117
  • EndNote: 121
Views and downloads (calculated since 22 Nov 2019)
Cumulative views and downloads (calculated since 22 Nov 2019)

Viewed (geographical distribution)

Total article views: 212,741 (including HTML, PDF, and XML) Thereof 188,386 with geography defined and 24,355 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint