dc.contributor.author | Álvarez Cuesta, Moisés | |
dc.contributor.author | Losada Rodríguez, Iñigo | |
dc.contributor.author | Toimil Silva, Alexandra | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2023-10-18T15:02:20Z | |
dc.date.available | 2023-10-18T15:02:20Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1364-8152 | |
dc.identifier.issn | 1873-6726 | |
dc.identifier.other | PID2021-126506OB-100 | es_ES |
dc.identifier.other | TED2021-131885B-100 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/30235 | |
dc.description.abstract | This 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.sponsorship | MA-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.extent | 19 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier Ltd | es_ES |
dc.rights | Attribution-NonCommercial 4.0 International | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.source | Environmental Modelling and Software, 2023, 169, 105827 | es_ES |
dc.subject.other | Coastal evolution | es_ES |
dc.subject.other | Artificial structures | es_ES |
dc.subject.other | Nature-based solutions | es_ES |
dc.subject.other | Sandy coasts | es_ES |
dc.subject.other | Adaptation | es_ES |
dc.title | A nearshore evolution model for sandy coasts: IH-LANSloc | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1016/j.envsoft.2023.105827 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1016/j.envsoft.2023.105827 | |
dc.type.version | publishedVersion | es_ES |