Probability distribution of tidal elevation data around korean coasts

DC Field Value Language
dc.contributor.author Cho, H.-Y. -
dc.contributor.author Jeong, S.-T. -
dc.contributor.author Ko, D.-H. -
dc.contributor.author Lee, S.-H. -
dc.date.accessioned 2020-07-16T09:52:02Z -
dc.date.available 2020-07-16T09:52:02Z -
dc.date.created 2020-06-04 -
dc.date.issued 2013-01-25 -
dc.identifier.issn 1660-9336 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/27197 -
dc.description.abstract Frequency information of tidal elevations in the coastal zone is essential for the determination of datum level, the classification of inhabitation zones, and the analysis of mean sea level variation. In this study, the non-parametric density function is suggested for the analysis of hourly tidal elevation data provided by the Korea Hydrographic and Oceanographic Administration. The density function was estimated for six principal locations, Incheon, Mokpo, Jeju, Yeosu, Busan, and Pohang in the Korean coastal area using a kernel function. The parameter required for the probability density function was optimally estimated with the Sheather and Jones (SJ). And the optimal parameter appropriate for the normal distribution function was about 30% higher than that predicted by the SJ method or the Cross Validation (CV) method. It can be seen that the final kernel functions were less affected. The smoothing parameters for all of the tidal elevation data were optimized to be in the range of 0.13-0.17 with the SJ method. From the normality test of the observed tidal elevation data, it was proposed that the hypothesis of a normal distribution was inappropriate in the test techniques with a 95% significance level. © (2013) Trans Tech Publications, Switzerland. -
dc.description.uri 1 -
dc.language English -
dc.publisher ICETI -
dc.relation.isPartOf Applied Mechanics and Materials Volume 284-287, 2013 -
dc.title Probability distribution of tidal elevation data around korean coasts -
dc.type Conference -
dc.citation.conferenceDate 2012-11-02 -
dc.citation.conferencePlace CH -
dc.citation.endPage 1488 -
dc.citation.startPage 1484 -
dc.citation.title 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 -
dc.contributor.alternativeName 조홍연 -
dc.identifier.bibliographicCitation 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012, pp.1484 - 1488 -
dc.identifier.scopusid 2-s2.0-84873892711 -
dc.description.journalClass 1 -
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Marine Digital Resources Department > Marine Bigdata & A.I. Center > 2. Conference Papers
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