Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5291-2024
https://doi.org/10.5194/gmd-17-5291-2024
Model description paper
 | 
10 Jul 2024
Model description paper |  | 10 Jul 2024

Fluvial flood inundation and socio-economic impact model based on open data

Lukas Riedel, Thomas Röösli, Thomas Vogt, and David N. Bresch

Viewed

Total article views: 1,200 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
963 197 40 1,200 31 24
  • HTML: 963
  • PDF: 197
  • XML: 40
  • Total: 1,200
  • BibTeX: 31
  • EndNote: 24
Views and downloads (calculated since 18 Jan 2024)
Cumulative views and downloads (calculated since 18 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,200 (including HTML, PDF, and XML) Thereof 1,177 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Dec 2024
Download
Short summary
River floods are among the most devastating natural hazards. We propose a flood model with a statistical approach based on openly available data. The model is integrated in a framework for estimating impacts of physical hazards. Although the model only agrees moderately with satellite-detected flood extents, we show that it can be used for forecasting the magnitude of flood events in terms of socio-economic impacts and for comparing these with past events.