Numerical Simulation and Large-Scale Physical Modelling of Coastal Sand Dune Erosion SCIE SCOPUS

DC Field Value Language
dc.contributor.author Do, Kideok -
dc.contributor.author Shin, Sungwon -
dc.contributor.author Cox, Daniel -
dc.contributor.author Yoo, Jeseon -
dc.date.accessioned 2020-04-16T08:55:14Z -
dc.date.available 2020-04-16T08:55:14Z -
dc.date.created 2020-01-28 -
dc.date.issued 2018-05 -
dc.identifier.issn 0749-0208 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/916 -
dc.description.abstract Coastal sand dune system is important in the nearshore environment for sand supply, ecosystem, and hazard mitigation. In this study, a process-based morphological model was performed and the results were compared with large-scale laboratory experimental data. Two-dimensional large-scale laboratory experiments were conducted with 1:6 geometric scale in the large wave flume (104m (L) x 3.7 m (W) x 4.6 m (D)) of the Hinsdale Wave Research Laboratory at Oregon State University (Maddux et al, 2006). Several different wave conditions were used with different water levels in this experiment including pre-storm, storm, and post storm based on random wave time series by using TMA spectrum. The data set included cross-shore Wave heights, fluid velocities, and the profile changes of the beach and dune. The process based model, XBeach (Roelvink et al., 2009) was used to simulate the nearshore hydrodynamics and bed level change during storm wave condition. Several semi-empirical parameters were used in the)(Beach model to predict morphodynamic process (Roelvink et al., 2009) and recently the updated parameters (WTI settings) were suggested based on the results of field observations. The present study ran the)(Beach model by using both default and WTI settings and compared with the results from the experiments. The results showed that the model results with WTI settings showed good agreement with the measured beach profile while the model results with default settings over-predicted the offshore sediment transport and dune erosion. Especially, the wave skewness (facSk) and asymmetry (facAs) gave the highest contribution to predict dune erosion. -
dc.description.uri 1 -
dc.language English -
dc.publisher COASTAL EDUCATION & RESEARCH FOUNDATION -
dc.title Numerical Simulation and Large-Scale Physical Modelling of Coastal Sand Dune Erosion -
dc.type Article -
dc.citation.endPage 200 -
dc.citation.startPage 196 -
dc.citation.title JOURNAL OF COASTAL RESEARCH -
dc.contributor.alternativeName 유제선 -
dc.identifier.bibliographicCitation JOURNAL OF COASTAL RESEARCH, pp.196 - 200 -
dc.identifier.doi 10.2112/SI85-040.1 -
dc.identifier.scopusid 2-s2.0-85051395574 -
dc.identifier.wosid 000441173100040 -
dc.type.docType Article; Proceedings Paper -
dc.description.journalClass 1 -
dc.subject.keywordAuthor Dune erosion -
dc.subject.keywordAuthor sediment transport -
dc.subject.keywordAuthor XBeach model -
dc.subject.keywordAuthor large-scale experiment -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.relation.journalWebOfScienceCategory Geography, Physical -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.relation.journalResearchArea Physical Geography -
dc.relation.journalResearchArea Geology -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 1. Journal Articles
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