Journal of Ocean Engineering and Technology (한국해양공학회지)

Korean Society of Ocean Engineers (한국해양공학회)
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Proposal of Parameter Range that Offered Optimal Performance in the Coastal Morphodynamic Model (XBeach) Through GLUE

  • Bae, Hyunwoo (Department of Convergence study on the Ocean Science and Technology, Korea Maritime and Ocean University) ;
  • Do, Kideok (Department of Ocean Engineering, Korea Maritime and Ocean University) ;
  • Kim, Inho (Department of Earth and Environmental Engineering, Kangwon National University) ;
  • Chang, Sungyeol (Haeyeon Engineering and Consultants Corporation)
  • Received : 2022.05.16
  • Accepted : 2022.06.21
  • Published : 2022.08.31
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Abstract

The process-based XBeach model has numerous empirical parameters because of insufficient understanding of hydrodynamics and sediment transport on the nearshore; hence, it is necessary to calibrate parameters to apply to various study areas and wave conditions. Therefore, the calibration process of parameters is essential for the improvement of model performance. Generally, the trial-and-error method is widely used; however, this method is passive and limited to various and comprehensive parameter ranges. In this study, the Generalized Likelihood Uncertainty Estimation (GLUE) method was used to estimate the optimal range of three parameters (gamma, facua, and gamma2) using morphological field data collected in Maengbang beach during the four typhoons that struck from September to October 2019. The model performance and optimal range of empirical parameters were evaluated using Brier Skill Score (BSS) along with the baseline profiles, sensitivity, and likelihood density analysis of BSS in the GLUE tools. Accordingly, the optimal parameter combinations were derived when facua was less than 0.15 and simulated well the shifting shape, from crescentic sand bar to alongshore uniform sand bars in the surf zone of Maengbang beach after storm impact. However, the erosion and accretion patterns nearby in the surf zone and shoreline remain challenges in the XBeach model.

Keywords

Acknowledgement

This study was supported by a This study was supported by the National Research Foundation of Korea grant funded by the Korea government (NRF-2022R1I1A3065599), and by the project titled "Establishment of the Ocean Research Station in the Jurisdiction Zone and Convergence Research" funded by the Ministry of Oceans and Fisheries in Korea.

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