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dc.contributor.authorÁlvarez Cuesta, Moisés 
dc.contributor.authorLosada Rodríguez, Iñigo 
dc.contributor.authorToimil Silva, Alexandra
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-10-18T15:02:20Z
dc.date.available2023-10-18T15:02:20Z
dc.date.issued2023
dc.identifier.issn1364-8152
dc.identifier.issn1873-6726
dc.identifier.otherPID2021-126506OB-100es_ES
dc.identifier.otherTED2021-131885B-100es_ES
dc.identifier.urihttps://hdl.handle.net/10902/30235
dc.description.abstractThis paper presents IH-LANSloc (IH-Long-term Anthropized coastlines Simulation tool for local-scale studies), a numerical model that solves shoreline and nearshore evolution at short and long-term time scales and in a wide variety of sandy coastal settings. IH-LANSloc results from the two-way fully coupling of a data-assimilated shoreline evolution model with a process-based wave propagation model and a rules-based profile translation tool. In contrast to shoreline evolution models, IH-LANSloc is able to reproduce the nearshore evolution in areas with complex bathymetries, considering the effects of human interventions (e.g., groynes, seawalls, breakwaters and nourishments) and natural ecosystems (e.g., coral reefs, seagrasses, and vegetation patches). This nearshore evolution model is less computationally expensive and is applicable to larger time scales than most process-based models and provides more accurate and richer results than present-day physics-based models. Model validation is carried out at an embayed beach in northern Spain showing great agreement with satellite-derived shoreline observations (RMSE<7m).es_ES
dc.description.sponsorshipMA-C acknowledges the financial support from the Ministerio de Ciencia e Innovaci´on and Innovation through the FPI studentship (PRE, 2018–085009). This research was partially supported by the Ministerio de Ciencia e Innovaci´on through the grants COASTALfutures (PID2021- 126506OB-100; MCIN/AEI/10.13039/501100011033/FEDER UE), CoastDiTwin (TED2021-131885B-100; MCIN/AEI and NextGenerationEU/ PRTR) and the ThinkInAzul programme (with funding from European Union NextGenerationEU/PRTR-C17.I1 and the Comunidad de Cantabria) and by the Comunidad de Cantabria through the FENIX Project (GFLOOD). AT is also funded by the Ramon y Cajal Programme (RYC2021-030873-I) of the Ministerio de Ciencia e Innovaci´on (MCIN/ AEI and NextGenerationEU/PRTR).es_ES
dc.format.extent19 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.rightsAttribution-NonCommercial 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceEnvironmental Modelling and Software, 2023, 169, 105827es_ES
dc.subject.otherCoastal evolutiones_ES
dc.subject.otherArtificial structureses_ES
dc.subject.otherNature-based solutionses_ES
dc.subject.otherSandy coastses_ES
dc.subject.otherAdaptationes_ES
dc.titleA nearshore evolution model for sandy coasts: IH-LANSloces_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.envsoft.2023.105827es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.envsoft.2023.105827
dc.type.versionpublishedVersiones_ES


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