Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신성원 | - |
dc.date.accessioned | 2022-08-22T23:57:19Z | - |
dc.date.available | 2022-08-22T23:57:19Z | - |
dc.date.issued | 2021-07 | - |
dc.identifier.citation | JOURNAL OF MARINE SCIENCE AND ENGINEERING, v. 9, NO 6, Page. 1-16 | en_US |
dc.identifier.issn | 20771312 | - |
dc.identifier.uri | https://www.proquest.com/docview/2544875150?accountid=11283 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/172541 | - |
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. | en_US |
dc.description.sponsorship | This research was partly supported by the project titled ‘Practical Technologies for Coastal Erosion Control and Countermeasure’, funded by the Ministry of Oceans and Fisheries, Korea (20180404) and by the National Research Foundation of Korea (NRF-2019R1C1C1003160). The authors are thankful to Maddux and Ruggiero for providing their experimental data. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.subject | coastal dune | en_US |
dc.subject | erosion | en_US |
dc.subject | numerical model | en_US |
dc.subject | physical model | en_US |
dc.subject | model calibration | en_US |
dc.title | Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 9 | - |
dc.identifier.doi | 10.3390/jmse9060635 | - |
dc.relation.page | 1-16 | - |
dc.relation.journal | JOURNAL OF MARINE SCIENCE AND ENGINEERING | - |
dc.contributor.googleauthor | Jin, Hyeok | - |
dc.contributor.googleauthor | Do, Kideok | - |
dc.contributor.googleauthor | Shin, Sungwon | - |
dc.contributor.googleauthor | Cox, Daniel | - |
dc.relation.code | 2021005420 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF MARINE SCIENCE AND CONVERGENCE ENGINEERING | - |
dc.identifier.pid | sungwshin | - |
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