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dc.contributor.authorFrancone, Antonio
dc.contributor.authorSimmonds, David
dc.date.accessioned2023-12-20T10:59:52Z
dc.date.available2023-12-20T10:59:52Z
dc.date.issued2023-05-12
dc.identifier.issn2077-1312
dc.identifier.issn2077-1312
dc.identifier.otherARTN 1037
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/21821
dc.description.abstract

The advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal hazards. Managing and protecting coastal areas requires accurate measurements and the availability of reliable numerical models for predicting shoreline evolution. The present study focuses on verifying the reliability of a recent one-line model: the General Shoreline beach (GSb) model. The numerical simulations were performed using wave data observed by the Acoustic Wave and Current profiler and the Channel Coast Observatory buoy. The numerical results were compared with high-resolution shoreline data collected from an ARGUS monitoring station during the impoundment experiment conducted in Milford-on-Sea, UK. The numerical results demonstrated that the GSb model accurately predicts shoreline evolution, particularly for mixed beaches. The findings of the present study also show the effectiveness of the GSb online numerical model in predicting day-to-day changes in shoreline dynamics caused by wave attack. The high-resolution dataset of the ARGUS observations combined with wave data collected during the field experiment could be valuable resources for coastal researchers to further evaluate and improve numerical models of coastal morphodynamics.

dc.format.extent1037-1037
dc.languageen
dc.publisherMDPI AG
dc.subjectcoastal zone
dc.subjectshoreline evolution
dc.subjectcoastal morphodynamics
dc.subjectGSb model
dc.subjectnumerical simulations
dc.subjectfield data
dc.subjectARGUS images
dc.titleAssessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000997206600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue5
plymouth.volume11
plymouth.publication-statusPublished online
plymouth.journalJournal of Marine Science and Engineering
dc.identifier.doi10.3390/jmse11051037
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Research Groups
plymouth.organisational-group|Plymouth|PRIMaRE Publications
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|Research Groups|Marine Institute
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA12 Engineering
plymouth.organisational-group|Plymouth|Research Groups|COAST Engineering Research Group
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA|UoA12 Engineering
dc.date.updated2023-12-20T10:59:45Z
dc.rights.embargodate2023-12-21
dc.identifier.eissn2077-1312
rioxxterms.versionofrecord10.3390/jmse11051037


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