Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34061
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dc.contributor.authorJackson, Derek W Ten_UK
dc.contributor.authorShort, Andrew Den_UK
dc.contributor.authorLoureiro, Carlosen_UK
dc.contributor.authorCooper, J Andrew Gen_UK
dc.date.accessioned2022-03-15T01:02:16Z-
dc.date.available2022-03-15T01:02:16Z-
dc.date.issued2022-05-05en_UK
dc.identifier.other107812en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34061-
dc.description.abstractClassification of beach morphodynamic state relies on accurate representation of breaking wave conditions, Hb (plus grain size and spring tidal range). Measured breaking wave data, however, are absent from all but a handful of sites worldwide. Here, we apply process-based wave modelling for propagating offshore waves to the breaking zone using high-resolution nearshore bathymetry, obtaining representative and accurate Hb values for multiple beaches at regional scale, and thereby derive meaningful morphodynamic classifications that accord with observed beach state. Ninety-five beaches on the north coast of Ireland were investigated, with observed beach types and states compared to predictions based on morphodynamic parameters determined using wave, tide and sediment data, obtained from field surveys and detailed numerical wave modelling. The coast is exposed to micro-through meso-tides (0.43–3.90 m) and low sea through high swell waves (Hb = 0.13–1.18 m) and is composed of fine to medium sand resulting in a full range of beach types (wave-dominated, tide-modified and tide-dominated) and most beach states, thereby providing a comprehensive field laboratory to undertake such a comparison. We found that modal beach types reside within their predicted Relative Tide Range (RTR) and modal beach states close to the predicted dimensionless fall velocity (Ω) range. The use of high-resolution nearshore wave modelling to determine Hb was deemed the most appropriate approach for deriving predicted beach classification. The work follows the investigation of the same coast by Jackson et al. (2005) who found shortcomings in relating beach types to breaker wave conditions. However, advances in inshore wave modelling and access to high-resolution nearshore bathymetry since then have enabled improved estimates of breaker height, producing more accurate results and enhancing previous work. The results highlight the need to obtain accurate estimates of Hb and Tp if they are to be used effectively in predicting beach parameters. This work therefore sets a precedence for other coastal sites worldwide where detailed nearshore bathymetry is available and Hb can be derived from process-based wave modelling, improving the classification and prediction of morphodynamic beach type and state.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationJackson DWT, Short AD, Loureiro C & Cooper JAG (2022) Beach morphodynamic classification using high-resolution nearshore bathymetry and process-based wave modelling. Estuarine, Coastal and Shelf Science, 268, Art. No.: 107812. https://doi.org/10.1016/j.ecss.2022.107812en_UK
dc.rightsThis is an open access article distributed under the terms of the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectMorphodynamicsen_UK
dc.subjectBeach stateen_UK
dc.subjectBeach typeen_UK
dc.subjectTide rangeen_UK
dc.subjectBreaker wave heighten_UK
dc.subjectSWANen_UK
dc.titleBeach morphodynamic classification using high-resolution nearshore bathymetry and process-based wave modellingen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.ecss.2022.107812en_UK
dc.citation.jtitleEstuarine, Coastal and Shelf Scienceen_UK
dc.citation.issn0272-7714en_UK
dc.citation.volume268en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNatural Environment Research Councilen_UK
dc.author.emailcarlos.loureiro@stir.ac.uken_UK
dc.citation.date07/03/2022en_UK
dc.contributor.affiliationUlster Universityen_UK
dc.contributor.affiliationUniversity of Sydneyen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUlster Universityen_UK
dc.identifier.wtid1802612en_UK
dc.contributor.orcid0000-0003-1778-2187en_UK
dc.contributor.orcid0000-0003-3117-3492en_UK
dc.contributor.orcid0000-0003-4972-8812en_UK
dc.date.accepted2022-03-04en_UK
dcterms.dateAccepted2022-03-04en_UK
dc.date.filedepositdate2022-03-11en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorJackson, Derek W T|0000-0003-1778-2187en_UK
local.rioxx.authorShort, Andrew D|en_UK
local.rioxx.authorLoureiro, Carlos|0000-0003-3117-3492en_UK
local.rioxx.authorCooper, J Andrew G|0000-0003-4972-8812en_UK
local.rioxx.projectProject ID unknown|Natural Environment Research Council|http://dx.doi.org/10.13039/501100000270en_UK
local.rioxx.freetoreaddate2022-03-14en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2022-03-14|en_UK
local.rioxx.filenameJackson_etal_2022_PublishedVersion.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0272-7714en_UK
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