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dc.contributor.authorMcCall, RT
dc.contributor.authorMasselink, Gerd
dc.contributor.authorPoate, Tim
dc.contributor.authorRoelvink, JA
dc.contributor.authorAlmeida, LP
dc.contributor.authorMikhalenko, Natalia
dc.contributor.authorRussell, Paul
dc.date.accessioned2014-07-30T13:24:18Z
dc.date.available2014-07-30T13:24:18Z
dc.date.issued2014-09-01
dc.identifier.issn0378-3839
dc.identifier.issn1872-7379
dc.identifier.urihttp://hdl.handle.net/10026.1/3056
dc.descriptionThe research in this study was funded by the Engineering and Physical Sciences Research Council (EPSRC; EP/H040056/1). The full text is under embargo until 01.09.15
dc.description.abstract

In this paper we present a process-based numerical model for the prediction of storm hydrodynamics and hydrology on gravel beaches. The model comprises an extension of an existing open-source storm-impact model for sandy coasts (XBeach), through the application of (1) a non-hydrostatic pressure correction term that allows wave-by-wave modelling of the surface elevation and depth-averaged flow, and (2) a groundwater model that allows infiltration and exfiltration through the permeable gravel bed to be simulated, and is referred to as XBeach-G. Although the model contains validated sediment transport relations for sandy environments, transport relations for gravel in the model are currently under development and unvalidated. Consequently, all simulations in this paper are carried out without morphodynamic feedback. Modelled hydrodynamics are validated using data collected during a large-scale physical model experiment and detailed in-situ field data collected at Loe Bar, Cornwall, UK, as well as remote-sensed data collected at four gravel beach locations along the UK coast during the 2012-2013 storm season. Validation results show that the model has good skill in predicting wave transformation (overall SCI 0.14-0.21), run-up levels (SCI < 0.12; median error < 10%) and initial wave overtopping (85-90% prediction rate at barrier crest), indicating that the model can be applied to estimate potential storm impact on gravel beaches. The inclusion of the non-hydrostatic pressure correction term and groundwater model is shown to significantly improve the prediction and evolution of overtopping events. © 2014 Elsevier B.V.

dc.format.extent231-250
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.subjectGravel
dc.subjectStorms
dc.subjectRunup
dc.subjectOvertopping
dc.subjectModelling
dc.subjectGroundwater
dc.titleModelling storm hydrodynamics on gravel beaches with XBeach-G
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000340850300018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume91
plymouth.publication-statusPublished
plymouth.journalCoastal Engineering
dc.identifier.doi10.1016/j.coastaleng.2014.06.007
plymouth.organisational-group/Plymouth
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plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
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plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
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dc.identifier.eissn1872-7379
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectAdaptation and Resilience of Coastal Energy Supply
rioxxterms.versionofrecord10.1016/j.coastaleng.2014.06.007
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
plymouth.funderAdaptation and Resilience of Coastal Energy Supply::Engineering and Physical Sciences Research Council
plymouth.funderAdaptation and Resilience of Coastal Energy Supply::Engineering and Physical Sciences Research Council


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