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공공누리This item is licensed Korea Open Government License

Title
Wave Run-up Modeling with Adaptive Mesh Refinement (AMR) Method in the Busan Marine City during Typhoon Chaba (1618)
Author(s)
박정현육진희주원균이한수
Publisher
Coastal Education and Research Foundation
Publication Year
2019-09-09
Abstract
The accuracy of numerical calculations is highly dependent on the grid spacing, and the smaller the grid spacing the better the accuracy. However, the portion requiring high accuracy often corresponds to only a part of the entire model domain. Setting a small grid interval for the entire model domain to study the calculation region is undesirable from the viewpoint of computation load and computation time. In this study, we illustrate the efficiency of the adaptive mesh refinement method for wave run-up modelling in terms of computational time and accuracy using numerical experiments. In this study, we conducted numerical experiments of wave run-up to verify the efficacy of the Adaptive Mesh Refinement (AMR) method in terms of accuracy and computation load for typhoon Chaba (1618). We determined that wave propagation modelling with storm surge height using the AMR method might be a good alternative to calculated wave run-up height. The difference between the observed and AMR model values for wave run-up height was calculated to be less than 1 m. Compared to the results of non-adaptive experiments with fixed spatial resolutions, those with the AMR method produced highly accurate results, while requiring only 75% of the computation time. The estimation of wave run-up height using AMR is expected to allow the accurate estimation of coastal inundation if more accurate topography and input conditions are given.
Keyword
파처오름; 적합격자세분화; 부산마린시티; 태풍차바; Wave run-up; adaptive mesh refinement; Busan marine city; Typhoon Chaba
Journal Title
Journal of coastal research : JCR;
ISSN
0749-0208
DOI
10.2112/si91-012.1
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/16243
Fulltext
 https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NART98076614
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