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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.8
- 수록면
- 251 - 269 (19page)
이용수
초록· 키워드
오류제보하기
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.
목차
ABSTRACT
1. Introduction
2. Study Methodology and Field Data Analysis
3. Configuration of the Numerical Model and Selection of Calibration Parameters
4. Selection of Initial Range of Parameters through GLUE
5. Proposal of Optimal Range and Combination with the Precision Range through GLUE
6. Conclusions
References
참고문헌 (44)
참고문헌 신청
Baquerizo, A., & Losada, M. A. (2008). Human Interaction with Large Scale Coastal Morphological Evolution. An assessment of the uncertainty. Coastal Engineering, 55(7–8), 569–580. https://doi.org/10.1016/j.coastaleng.2007.10.004
Beven, K. (2006). A Manifesto for the Equifinality Thesis. Journal of Hydrology, 320(1–2), 18–36. https://doi.org/10.1016/j.jhydrol.2005.07.007
Beven, K., & Binley, A. (1992). The Future of Distributed Models: Model Calibration and Uncertainty Prediction. Hydrological Processes, 6(3), 279–298. http://dx.doi.org/10.1002/hyp.3360060305
Bolle, A., Mercelis, P., Roelvink, D., Haerens, P., & Trouw, K. (2010). Application and Validation of XBeach for Three Different Field Sites. Coastal Engineering Proceedings, 32, 40–40. https://doi.org/10.9753/icce.v32.sediment.40
Bugajny, N., Furmańczyk, K., Dudzińska-Nowak, J., & Paplińska-Swerpel, B. (2013). Modelling Morphological Changes of Beach and Dune Induced by Storm on the Southern Baltic Coast using XBeach (Case Study: Dziwnow Spit). Journal of Coastal Research, 65(sp1), 672–677. https://doi.org/10.2112/si65-114.1
Beven, K. (2006). A Manifesto for the Equifinality Thesis. Journal of Hydrology, 320(1–2), 18–36. https://doi.org/10.1016/j.jhydrol.2005.07.007
Beven, K., & Binley, A. (1992). The Future of Distributed Models: Model Calibration and Uncertainty Prediction. Hydrological Processes, 6(3), 279–298. http://dx.doi.org/10.1002/hyp.3360060305
Bolle, A., Mercelis, P., Roelvink, D., Haerens, P., & Trouw, K. (2010). Application and Validation of XBeach for Three Different Field Sites. Coastal Engineering Proceedings, 32, 40–40. https://doi.org/10.9753/icce.v32.sediment.40
Bugajny, N., Furmańczyk, K., Dudzińska-Nowak, J., & Paplińska-Swerpel, B. (2013). Modelling Morphological Changes of Beach and Dune Induced by Storm on the Southern Baltic Coast using XBeach (Case Study: Dziwnow Spit). Journal of Coastal Research, 65(sp1), 672–677. https://doi.org/10.2112/si65-114.1
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