Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1599-2021
https://doi.org/10.5194/nhess-21-1599-2021
Research article
 | 
26 May 2021
Research article |  | 26 May 2021

Residential flood loss estimated from Bayesian multilevel models

Guilherme S. Mohor, Annegret H. Thieken, and Oliver Korup

Viewed

Total article views: 2,171 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,558 558 55 2,171 248 56 59
  • HTML: 1,558
  • PDF: 558
  • XML: 55
  • Total: 2,171
  • Supplement: 248
  • BibTeX: 56
  • EndNote: 59
Views and downloads (calculated since 03 Dec 2020)
Cumulative views and downloads (calculated since 03 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,171 (including HTML, PDF, and XML) Thereof 2,071 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
We explored differences in the damaging process across different flood types, regions within Germany, and six flood events through a numerical model in which the groups can learn from each other. Differences were found mostly across flood types, indicating the importance of identifying them, but there is great overlap across regions and flood events, indicating either that socioeconomic or temporal information was not well represented or that they are in fact less different within our cases.
Altmetrics
Final-revised paper
Preprint