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dc.contributor.authorStripling, S
dc.contributor.authorPanzeri, M
dc.contributor.authorBlanco, B
dc.contributor.authorRossington, K
dc.contributor.authorSayers, P
dc.contributor.authorBorthwick, A
dc.date.accessioned2017-02-17T12:47:58Z
dc.date.issued2017-03
dc.identifier.issn0378-3839
dc.identifier.urihttp://hdl.handle.net/10026.1/8524
dc.description.abstract

Rapid deterministic modelling of shoreline evolution at regional and coastal-scheme scale enables Monte-Carlo simulations by which long-term shoreline statistics can be estimated. This paper describes UnaLinea, a fast, accurate finite difference solver of the one-line sediment continuity equation. The model is verified for the evolution of an initially straight shoreline of a plane beach subject to regular breaking waves at constant angle of incidence in the presence of either a groyne or a continuous single-point feed of sediment. Grid convergence and stability tests are used to obtain accurate, stable results, with satisfactory computational efficiency. Influences of wave input filtering and event-based sediment loading are considered. The rapid deterministic model is applied to Monte-Carlo simulations of the evolution of the west coast of Calabria, Italy for different scenarios including increased sediment load from a river and selected beach nourishment. The potential role of probabilistic shoreline evolution in regional coastal flood-risk assessment is explored through application to an idealised stretch of the Holderness coastline, U.K., where flood depths and expected damage are estimated for a 1000 year return period event.

dc.format.extent129-144
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.subjectShoreline evolution
dc.subjectFlood/erosion-risk
dc.subjectProbabilistic modelling
dc.subjectWave filtering
dc.subjectRegional scale
dc.titleRegional-scale probabilistic shoreline evolution modelling for flood-risk assessment
dc.typejournal-article
dc.typeJournal Article
plymouth.volume121
plymouth.publisher-urlhttp://dx.doi.org/10.1016/j.coastaleng.2016.12.002
plymouth.publication-statusPublished
plymouth.journalCoastal Engineering
dc.identifier.doi10.1016/j.coastaleng.2016.12.002
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2016-12-12
dc.rights.embargodate2018-1-13
dc.rights.embargoperiod12 months
rioxxterms.versionofrecord10.1016/j.coastaleng.2016.12.002
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2017-03
rioxxterms.typeJournal Article/Review


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