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Parameter Estimation and Analysis of Extreme Highest Tide Level in Marginal Seas around Korea  

Jeong, Shin-Taek (School of Civil, Environmental & Urban Engineering, Wonkwang University)
Kim, Jeong-Dae (School of Civil, Environmental & Urban Engineering, Wonkwang University)
Ko, Dong-Hui (School of Civil, Environmental & Urban Engineering, Wonkwang University)
Yoon, Gil-Lim (Korea Ocean Research & Development Institute, Coastal Space Research)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.20, no.5, 2008 , pp. 482-490 More about this Journal
Abstract
For a coastal or harbor structure design, one of the most important environmental factors is the appropriate extreme highest tide level condition. Especially, the information of extreme highest tide level distribution is essential for reliability design. In this paper, 23 set of extreme highest tide level data obtained from National Oceanographic Research Institute(NORI) were analyzed for extreme highest tide levels. The probability distributions considered in this research were Generalized Extreme Value(GEV), Gumbel, and Weibull distribution. For each of these distributions, three parameter estimation methods, i.e. the method of moments, maximum likelihood and probability weighted moments, were applied. Chi-square and Kolmogorov-Smirnov goodness-offit tests were performed, and the assumed distribution was accepted at the confidence level 95%. Gumbel distribution which best fits to the 22 tidal station was selected as the most probable parent distribution, and optimally estimated parameters and extreme highest tide level with various return periods were presented. The extreme values of Incheon, Cheju, Yeosu, Pusan, and Mukho, which estimated by Shim et al.(1992) are lower than that of this result.
Keywords
Extreme highest tide level; reliability design; tidal station; extreme value distribution; parameter; Gumbel distribution;
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