Distribution Estimation and Characteristic Analysis of the Number of the High Waves and Sudden High Waves in the East Coastal Seas

Diverse statistical characteristic analyses, including distribution estimation, location differences, and monthly differences, were performed with emphasis using monthly frequency information for high waves and sudden high waves extracted from 17 years of wave observation data from seven stations along the East Sea coast. Overall, the Poisson distribution was identified as the most appropriate distribution for all locations, while the Zero-Inflated Poisson distribution was found to be a more suitable distribution for the Mukho station. Station differences were identified as distinct from other stations, with Mukho showing a clear distinction and being categorized into groups with relatively high and low high wave frequency. On the other hand, while distinct differences were observed in monthly frequency, the statistical confidence intervals were estimated to be substantial. As a result of analyzing the data by reducing the size of the confidence interval using a large sample dataset that integrates all locations, it was found that the frequency was below the average from May to August, April and September were at the average level, and the remaining periods showed an above-average frequency.

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Publication Details

Journal
한국해안·해양공학회논문집
Published
2026-08-27
DOI
https://doi.org/10.9765/kscoe.2026.38.4.194
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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article

Distribution Estimation and Characteristic Analysis of the Number of the High Waves and Sudden High Waves in the East Coastal Seas

Kyong-Ho Ryu, Weon-Mu Jeong, Ye-Chan Jeong, Hong-Yeon Cho
한국해안·해양공학회논문집
Ocean Waves and Remote Sensing
article

Distribution Estimation and Characteristic Analysis of the Number of the High Waves and Sudden High Waves in the East Coastal Seas

Kyong-Ho Ryu, Weon-Mu Jeong, Ye-Chan Jeong, Hong-Yeon Cho
article en

Abstract

Diverse statistical characteristic analyses, including distribution estimation, location differences, and monthly differences, were performed with emphasis using monthly frequency information for high waves and sudden high waves extracted from 17 years of wave observation data from seven stations along the East Sea coast. Overall, the Poisson distribution was identified as the most appropriate distribution for all locations, while the Zero-Inflated Poisson distribution was found to be a more suitable distribution for the Mukho station. Station differences were identified as distinct from other stations, with Mukho showing a clear distinction and being categorized into groups with relatively high and low high wave frequency. On the other hand, while distinct differences were observed in monthly frequency, the statistical confidence intervals were estimated to be substantial. As a result of analyzing the data by reducing the size of the confidence interval using a large sample dataset that integrates all locations, it was found that the frequency was below the average from May to August, April and September were at the average level, and the remaining periods showed an above-average frequency.

한국해안·해양공학회논문집Vol. 38(4)
Korea Institute of Ocean Science and Technology (KR), National Institute of Ocean Technology (IN), Ocean Institute (US)
Life below water
Openalex Percentile: Top 12%
Ocean Waves and Remote Sensing
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Distribution Estimation and Characteristic Analysis of the Number of the High Waves and Sudden High Waves in the East Coastal Seas — Kyong-Ho Ryu, Weon-Mu Jeong, et al. · 한국해안·해양공학회논문집 (2026) | TGRS Research Map | TGRS