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dc.contributor.authorLe Gal, Marine
dc.contributor.authorFernández Momblant, Tomás 
dc.contributor.authorDuo, Enrico
dc.contributor.authorMontes Pérez, Juan Bautista 
dc.contributor.authorCabrita, Paulo
dc.contributor.authorSouto Ceccon, Paola
dc.contributor.authorGastal, Véra
dc.contributor.authorCiavola, Paolo
dc.contributor.authorArmaroli, Clara
dc.contributor.otherCiencias de la Tierraes_ES
dc.date.accessioned2024-04-01T09:51:27Z
dc.date.available2024-04-01T09:51:27Z
dc.date.issued2023
dc.identifier.issn1561-8633
dc.identifier.issn1684-9981
dc.identifier.urihttp://hdl.handle.net/10498/31504
dc.description.abstractCoastal flooding is recognized as one of the most devastating natural disasters, resulting in significant economic losses. Therefore, hazard assessment is crucial to support preparedness and response to such disasters. Toward this, flood map databases and catalogues are essential for the analysis of flood scenarios, and furthermore they can be integrated into disaster risk reduction studies. In this study and in the context of the European Coastal Flood Awareness System (ECFAS) project (GA 101004211), which aimed to propose the European Copernicus Coastal Flood Awareness System, a catalogue of flood maps was produced. The flood maps were generated from flood models developed with LISFLOOD-FP for defined coastal sectors along the entire European coastline. For each coastal sector, 15 synthetic scenarios were defined focusing on high-frequency events specific to the local area. These scenarios were constructed based on three distinct storm durations and five different total-water-level (TWL) peaks incorporating tide, mean sea level, surge and wave setup components. The flood model method was extensively validated against 12 test cases for which observed data were collated using satellite-derived flood maps and in situ flood markers. Half of the test cases represented well the flooding with hit scores higher than 80ĝ€¯%. The synthetic-scenario approach was assessed by comparing flood maps from real events and their closest identified scenarios, producing a good agreement and global skill scores higher than 70ĝ€¯%. Using the catalogue, flood scenarios across Europe were assessed, and the biggest flooding occurred in well-known low-lying areas. In addition, different sensitivities to the increase in the duration and TWL peak were noted. The storm duration impacts a few limited flood-prone areas such as the Dutch coast, for which the flooded area increases more than twice between 12 and 36ĝ€¯h storm scenarios. The influence of the TWL peak is more global, especially along the Mediterranean coast, for which the relative difference between a 2- and 20-year return period storm is around 80ĝ€¯%. Finally, at a European scale, the expansion of flood areas in relation to increases in TWL peaks demonstrated both positive and negative correlations with the presence of urban and wetland areas, respectively. This observation supports the concept of storm flood mitigation by wetlands.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherCopernicus Publicationses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceNatural Hazards and Earth System Sciences - 2023, Vol. 23 n. 11, pp. 3585-3602es_ES
dc.subjectcoastal zonees_ES
dc.subjectdatabasees_ES
dc.subjectfloodinges_ES
dc.subjecthazard assessmentes_ES
dc.titleA new European coastal flood database for low-medium intensity eventses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.5194/NHESS-23-3585-2023
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101004211/EU es_ES
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional