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Identification of risk hotspots to storm events in a coastal region with high morphodynamic alongshore variability

dc.contributor.authorCeledón, Victoria
dc.contributor.authorDel Río, Laura
dc.contributor.authorFerreira, Óscar
dc.contributor.authorCostas, Susana
dc.contributor.authorPlomaritis, Theocharis A.
dc.date.accessioned2022-12-19T15:18:25Z
dc.date.available2022-12-19T15:18:25Z
dc.date.issued2022
dc.description.abstractHigh-energy storm events induce hazards that promote damage and destruction of property and infrastructure. Defining high-risk areas is therefore fundamental to prioritise management actions. This work presents the application of an approach to identify hotspots of storm impact at a regional scale (tens to hundreds of kilometres). The Coastal Risk Assessment Framework Phase 1 (CRAF1) is a hotspot selection method based on a coastal index that combines the potential hazard (i.e. overwash and erosion), the exposure (based on land use) and the vulnerability (based on socio-economic data) along each kilometre of the coast to assess the risk level. The suitability of the approach was tested on the southeastern coast of the Gulf of Cadiz (South Spain). CRAF1 was applied considering a morphological worst-case scenario and events of 10/50/100-year return period. The region shows a high overwash and erosion hazard level. Nevertheless, a relatively low number of risk hotspots were identified due to the low level of occupation in the study area. Comparison against available information of previous overwash and erosion events proved the reliability of the method to identify hotspots at a regional scale, even in a coastal area with high alongshore variability (geomorphology, wave exposure and tidal range). The results support the utility of the tool for coastal managers to prioritise and support risk reduction plans. Furthermore, the method presents two aspects that enlarge its potential applicability: (1) it is relatively easy to apply at a regional scale, and (2) it can be updated with new data to test different scenarios (e.g. sea-level rise).pt_PT
dc.description.sponsorshipALG-LISBOA-01-145-FEDER-028657
dc.description.sponsorshipCGL2014-53153-R
dc.description.sponsorshipFEDER-UCA18-107062
dc.description.sponsorshipPID2019-109143RB-I00
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s11069-022-05562-xpt_PT
dc.identifier.eissn1573-0840
dc.identifier.urihttp://hdl.handle.net/10400.1/18661
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.subjectStorm eventspt_PT
dc.subjectErosion hazardpt_PT
dc.subjectOverwash hazardpt_PT
dc.subjectHotspotpt_PT
dc.subjectHotspotpt_PT
dc.subjectRiskpt_PT
dc.subjectCoastal indexpt_PT
dc.titleIdentification of risk hotspots to storm events in a coastal region with high morphodynamic alongshore variabilitypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00350%2F2020/PT
oaire.citation.titleNatural Hazardspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameRamos Ferreira
person.familyNameCostas
person.givenNameÓscar Manuel
person.givenNameSusana
person.identifierAAQ-8792-2020
person.identifier1448818
person.identifier.ciencia-id3E1E-B010-2453
person.identifier.ciencia-idAF19-9EEE-7550
person.identifier.orcid0000-0002-1703-347X
person.identifier.orcid0000-0002-4005-077X
person.identifier.scopus-author-id9043656500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0368e799-e8ed-4b67-9804-936565808463
relation.isAuthorOfPublication62d73183-10ba-42ca-80a7-458c42d1375b
relation.isAuthorOfPublication.latestForDiscovery62d73183-10ba-42ca-80a7-458c42d1375b
relation.isProjectOfPublication62b4d568-8b21-464c-97ed-de826eab4136
relation.isProjectOfPublication.latestForDiscovery62b4d568-8b21-464c-97ed-de826eab4136

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