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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2025
Research article |
| 03 Jan 2025
| 03 Jan 2025
Validated probabilistic approach to estimate flood direct impacts on the population and assets on European coastlines
Enrico Duo
Department of Physics and Earth Sciences, University of Ferrara, Ferrara, Italy
Consorzio Futuro in Ricerca, Ferrara, Italy
Department of Physics and Earth Sciences, University of Ferrara, Ferrara, Italy
Earth Sciences Department, University of Cádiz INMAR, Avda. República Saharaui s/n, Puerto Real, 11510 Cádiz, Spain
Marine Le Gal
Department of Physics and Earth Sciences, University of Ferrara, Ferrara, Italy
Consorzio Futuro in Ricerca, Ferrara, Italy
Tomás Fernández-Montblanc
Earth Sciences Department, University of Cádiz INMAR, Avda. República Saharaui s/n, Puerto Real, 11510 Cádiz, Spain
Paolo Ciavola
Department of Physics and Earth Sciences, University of Ferrara, Ferrara, Italy
Consorzio Futuro in Ricerca, Ferrara, Italy
Department of Biological, Geological, and Environmental Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
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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.
The present work, developed within the EU H2020 European Coastal Flood Awareness System (ECFAS)...
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