Correlation Analysis between Wave Parameters using Wave Data Observed in HeMOSU-1&2

Author:

Lee Uk-Jae,Ko Dong-Hui,Cho Hong-Yeon,Oh Nam-Sun

Abstract

In this study, waves were defined using the water surface elevation data observed from the HeMOSU-1 and 2 marine meteorological observation towers installed on the west coast of Korea, and correlation analysis was performed between wave parameters. The wave height and wave period were determined using the wave-train analysis method and the wave spectrum analysis method, and the relationship between the wave parameters was calculated and compared with the previous study. In the relation between representative wave heights, most of the correlation coefficients between waves showed a difference of less than 0.1% in error rate compared to the previous study, and the maximum wave height showed a difference of up to 29%. In addition, as a result of the correlation analysis between the wave periods, the peak period was estimated to be abnormally large at rates of 2.5% and 1.3% in HeMOSU-1&2, respectively, due to the effect of the bimodal spectrum that occurs when the spectral energy density is small.

Funder

Ministry of Trade, Industry and Energy

Publisher

Korean Society of Coastal and Ocean Engineers

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of Representative Wave Period and Optimal Probability Density Function Using Wave Observed Data around Korean Western Coast;Journal of Korean Society of Coastal and Ocean Engineers;2023-12-31

2. Optimal Smoothing of the Wind–Wave Spectrum Based on the Confidence-Interval Trade-Off;Journal of Marine Science and Engineering;2023-10-28

3. Design Wave Period Estimation Using the Wave Height Information;Journal of Korean Society of Coastal and Ocean Engineers;2023-08-31

4. Optimal Estimation of the Peak Wave Period using Smoothing Method;Journal of Korean Society of Coastal and Ocean Engineers;2022-12-27

5. Estimation and Analysis of Wave Spectrum Parameter using HeMOSU-2 Observation Data;Journal of Korean Society of Coastal and Ocean Engineers;2021-12-31

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