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dc.rights.licenseopenen_US
dc.contributor.authorARIAS, Amélie
dc.contributor.authorALMAR, Rafael
dc.contributor.authorREGARD, Vincent
dc.contributor.authorBERGSMA, Erwin W. J.
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorCASTELLE, Bruno
IDREF: 087596520
dc.contributor.authorGARLAN, Thierry
dc.date.accessioned2025-02-21T09:33:15Z
dc.date.available2025-02-21T09:33:15Z
dc.date.issued2024-12-31
dc.identifier.issn2077-1312en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/205082
dc.description.abstractGrain size and beach slope are critical factors in coastal science and management. However, it is difficult to have information on their distribution everywhere in the world, as most of the coast has never been documented. For many applications, it is essential to have at least a rough estimate when local field measurements are not available. Here, we review the existing prediction formulas relating beach slope to grain size and wave conditions, using publicly available global datasets and comparing them with a benchmark dataset of ground measurements from different authors worldwide. Uncertainties arise from the input parameters, in particular coastal waves, a key parameter of all formulae, but also from empirical coefficients that are undocumented or inaccessible with the global dataset. Despite the recognized importance of tides, they are often overlooked in formulae relating beach slope to sediment grain size. We therefore present an improved formulation that incorporates tidal effects. Although satellites offer a promising alternative to predictive formulae for direct estimation of beach slope and grain size, the current accuracy and methodologies of satellite data are insufficient for global applications. Continued advances in satellite missions, including higher resolution and revisit frequency, as well as new sensors, are essential to improve predictive capabilities and facilitate wider implementation.
dc.description.sponsorshipDynamique littorale à l'échelle globale par approche satellitaire avec application à l'étude de l'impact du changement climatique - ANR-22-ASTR-0013en_US
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enbeach slope
dc.subject.ensediment grain size
dc.subject.ensatellite optical imagery
dc.subject.enwaves
dc.subject.entide
dc.titleAssessment of Beach Slope and Sediment Grain Size Anywhere in the World: Review of Existing Formulae, Integration of Tidal Influence, and Perspectives from Satellite Observations
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/jmse13010058en_US
dc.subject.halSciences de l'environnementen_US
bordeaux.journalJournal of Marine Science and Engineeringen_US
bordeaux.page58en_US
bordeaux.volume13en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamMETHYSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcecrossref
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcecrossref
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Assessment%20of%20Beach%20Slope%20and%20Sediment%20Grain%20Size%20Anywhere%20in%20the%20World:%20Review%20of%20Existing%20Formulae,%20Integration%20of%20Tidal%20Influence&rft.atitle=Assessment%20of%20Beach%20Slope%20and%20Sediment%20Grain%20Size%20Anywhere%20in%20the%20World:%20Review%20of%20Existing%20Formulae,%20Integration%20of%20Tidal%20Influenc&rft.jtitle=Journal%20of%20Marine%20Science%20and%20Engineering&rft.date=2024-12-31&rft.volume=13&rft.issue=1&rft.spage=58&rft.epage=58&rft.eissn=2077-1312&rft.issn=2077-1312&rft.au=ARIAS,%20Am%C3%A9lie&ALMAR,%20Rafael&REGARD,%20Vincent&BERGSMA,%20Erwin%20W.%20J.&CASTELLE,%20Bruno&rft.genre=article


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