Process-based model prediction of coastal dune erosion through parametric calibration
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jin, Hyeok | - |
dc.contributor.author | Do, Kideok | - |
dc.contributor.author | Shin, Sungwon | - |
dc.contributor.author | Cox, Daniel | - |
dc.date.accessioned | 2021-07-28T08:10:05Z | - |
dc.date.available | 2021-07-28T08:10:05Z | - |
dc.date.issued | 2021-06 | - |
dc.identifier.issn | 2077-1312 | - |
dc.identifier.issn | 2077-1312 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/105766 | - |
dc.description.abstract | Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy. In the present study, a process-based model (XBeachX) was tested and calibrated to improve the accuracy of the simulation of dune erosion from a storm event by adjusting the coefficients in the model and comparing it with the large-scale experimental data. The breaker slope coefficient was calibrated to predict cross-shore wave transformation more accurately. To improve the prediction of the dune erosion profile, the coefficients related to skewness and asymmetry were adjusted. Moreover, the bermslope coefficient was calibrated to improve the simulation performance of the bermslope near the dune face. Model performance was assessed based on the model-data comparisons. The calibrated XBeachX successfully predicted wave transformation and dune erosion phenomena. In addition, the results obtained from other two similar experiments on dune erosion with the same calibrated set matched well with the observed wave and profile data. However, the prediction of underwater sand bar evolution remains a challenge. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Process-based model prediction of coastal dune erosion through parametric calibration | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/jmse9060635 | - |
dc.identifier.scopusid | 2-s2.0-85108218283 | - |
dc.identifier.wosid | 000666201300001 | - |
dc.identifier.bibliographicCitation | Journal of Marine Science and Engineering , v.9, no.6 | - |
dc.citation.title | Journal of Marine Science and Engineering | - |
dc.citation.volume | 9 | - |
dc.citation.number | 6 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Oceanography | - |
dc.relation.journalWebOfScienceCategory | Engineering, Marine | - |
dc.relation.journalWebOfScienceCategory | Engineering, Ocean | - |
dc.relation.journalWebOfScienceCategory | Oceanography | - |
dc.subject.keywordPlus | RUN-UP | - |
dc.subject.keywordPlus | EVOLUTION | - |
dc.subject.keywordPlus | OVERWASH | - |
dc.subject.keywordPlus | XBEACH | - |
dc.subject.keywordPlus | SCALE | - |
dc.subject.keywordAuthor | Coastal dune | - |
dc.subject.keywordAuthor | Erosion | - |
dc.subject.keywordAuthor | Model calibration | - |
dc.subject.keywordAuthor | Numerical model | - |
dc.subject.keywordAuthor | Physical model | - |
dc.identifier.url | https://www.mdpi.com/2077-1312/9/6/635 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.