Probability distribution of tidal elevation data around korean coasts

Title
Probability distribution of tidal elevation data around korean coasts
Author(s)
Cho, H.-Y.; Jeong, S.-T.; Ko, D.-H.; Lee, S.-H.
KIOST Author(s)
Cho, Hong Yeon(조홍연)
Publication Year
2013-01-25
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.
ISSN
1660-9336
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/27197
Bibliographic Citation
2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012, pp.1484 - 1488, 2013
Publisher
ICETI
Type
Conference
Language
English
Publisher
ICETI
Related Researcher
Research Interests

coastal numerical modeling,statistical modeling,uncertainty analysis,연안수치모델링,해양통계모델링,불확실성 분석

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