Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration

Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration

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 (XBea...

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Bibliographic Details
Main Authors: Hyeok Jin, Kideok Do, Sungwon Shin, Daniel Cox
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Marine Science and Engineering
Subjects:
coastal dune
erosion
numerical model
physical model
model calibration
Online Access:https://www.mdpi.com/2077-1312/9/6/635
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spelling doaj-991b824c356b4af5b619a1160598d3552021-06-30T23:31:24ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-06-01963563510.3390/jmse9060635Process-Based Model Prediction of Coastal Dune Erosion through Parametric CalibrationHyeok Jin0Kideok Do1Sungwon Shin2Daniel Cox3Department of Convergence Study on the Ocean Science and Technology, Korea Maritime & Ocean University, Busan 49112, KoreaDepartment of Ocean Engineering, Korea Maritime & Ocean University, Busan 49112, KoreaDepartment of Marine Science and Convergence Engineering, Hanyang University, Ansan 15588, KoreaSchool of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331-2302, USACoastal 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.https://www.mdpi.com/2077-1312/9/6/635coastal duneerosionnumerical modelphysical modelmodel calibration
collection DOAJ
language English
format Article
sources DOAJ
author Hyeok Jin
Kideok Do
Sungwon Shin
Daniel Cox
spellingShingle Hyeok Jin
Kideok Do
Sungwon Shin
Daniel Cox
Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
Journal of Marine Science and Engineering
coastal dune
erosion
numerical model
physical model
model calibration
author_facet Hyeok Jin
Kideok Do
Sungwon Shin
Daniel Cox
author_sort Hyeok Jin
title Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
title_short Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
title_full Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
title_fullStr Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
title_full_unstemmed Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
title_sort process-based model prediction of coastal dune erosion through parametric calibration
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2021-06-01
description 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.
topic coastal dune
erosion
numerical model
physical model
model calibration
url https://www.mdpi.com/2077-1312/9/6/635
work_keys_str_mv AT hyeokjin processbasedmodelpredictionofcoastalduneerosionthroughparametriccalibration
AT kideokdo processbasedmodelpredictionofcoastalduneerosionthroughparametriccalibration
AT sungwonshin processbasedmodelpredictionofcoastalduneerosionthroughparametriccalibration
AT danielcox processbasedmodelpredictionofcoastalduneerosionthroughparametriccalibration
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