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dc.contributor.authorToimil Silva, Alexandra
dc.contributor.authorÁlvarez Cuesta, Moisés 
dc.contributor.authorLosada Rodríguez, Iñigo 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-12-23T14:08:11Z
dc.date.available2022-12-23T14:08:11Z
dc.date.issued2023-01
dc.identifier.issn0378-3839
dc.identifier.issn1872-7379
dc.identifier.otherPID2021-126506OB-100es_ES
dc.identifier.otherRYC2021-030873-Ies_ES
dc.identifier.urihttps://hdl.handle.net/10902/27001
dc.description.abstractABSTRACT: Flooding and erosion are among the most relevant hazards for coastal regions and although they are linked, their inherent complexity has typically led them to be addressed separately, potentially leading to highly uncertain estimates. This paper has three aims: (a) to present a methodology for coupling coastal flood projections with shoreline changes; (b) to quantify the effects of neglecting the coupling of flooding and erosion on future projections at a case study location; and (c) to analyse the relative importance of the climate-related uncertainty sources. We use a suite of statistical, process-based, and physics-based models to generate and downscale storms, compute water levels affected by storm morphodynamics and long-term profile changes and propagate flooding over topo-bathymetries that are in turn modified to incorporate the impact of sea-level rise, longshore sediment transport and storm-driven erosion. We sample climate uncertainty by considering storm variability (synthetic generation) and ensembles of radiative forcing scenarios, regional climate models, and sea-level rise trajectories. For illustration purposes, we consider a 40-km coastal stretch in the Spanish Mediterranean. We find that if the effect of erosion is neglected, the mean values of the total water level and flooded area can be either over- or underestimated by up to 18% and 22%, and up to 7% and 85%, respectively, with respect to our coupled results. The factors that most influence total water levels are storm erosion and profile geometry, highlighting the relevance of using real profiles in shoreface translation. In the flooded area, longshore transport can play a fundamental enhancing role. We also find that the coupling approach used can contribute more to the projection of flooded areas than the choice of climate models and sea-level rise trajectories even by 2100 (up to 76% versus 8% and 16%, respectively). We conclude that neglecting erosion effects on coastal flooding can have management implications, especially for urban beaches, leading to poor adaptation planning and maladaptation.es_ES
dc.description.sponsorshipThis study was partially funded by the Spanish Government through the grant COASTALfutures (PID2021-126506OB-100); the Government of Cantabria through the FENIX Project; and the European Union’s Horizon 2020 CoCliCo Project (grant agreement No 101003598). AT and MA-C are also funded by the Spanish Ministry of Science and Innovation through the Ramon y Cajal Programme (RYC2021-030873-I) and the FPI studentship (PRE-2018-085009), respectively.es_ES
dc.format.extent21 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceCoastal Engineering 2023,179,104248es_ES
dc.titleNeglecting the effect of long- and short-term erosion can lead to spurious coastal flood risk projections and maladaptationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.coastaleng.2022.104248es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101003598/EU/COASTAL CLIMATE CORE SERVICES/CoCliCo/es_ES
dc.identifier.DOI10.1016/j.coastaleng.2022.104248
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International