Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 1
Articles | Volume 25, issue 1
https://doi.org/10.5194/nhess-25-13-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-13-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 1
Research article
 | 
03 Jan 2025
Research article |  | 03 Jan 2025

Validated probabilistic approach to estimate flood direct impacts on the population and assets on European coastlines

Enrico Duo, Juan Montes, Marine Le Gal, Tomás Fernández-Montblanc, Paolo Ciavola, and Clara Armaroli

Viewed

Total article views: 882 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
656 177 49 882 40 43
  • HTML: 656
  • PDF: 177
  • XML: 49
  • Total: 882
  • BibTeX: 40
  • EndNote: 43
Views and downloads (calculated since 11 Dec 2023)
Cumulative views and downloads (calculated since 11 Dec 2023)

Viewed (geographical distribution)

Total article views: 882 (including HTML, PDF, and XML) Thereof 848 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Feb 2025
Download
Short summary
The present work, developed within the EU H2020 European Coastal Flood Awareness System (ECFAS) project, presents an approach used to estimate direct impacts of coastal flood on population, buildings, and roads along European coasts. The findings demonstrate that the ECFAS impact approach offers valuable estimates for affected populations, reliable damage assessments for buildings and roads, and improved accuracy compared to traditional grid-based approaches.
Read more
Share
Altmetrics
Final-revised paper
Preprint