Some statistical characteristics of large deepwater waves around the Korean Peninsula SCIE SCOPUS

Cited 19 time in WEB OF SCIENCE Cited 24 time in Scopus
Title
Some statistical characteristics of large deepwater waves around the Korean Peninsula
Author(s)
Suh, Kyung-Duck; Kwon, Hyuk-Dong; Lee, Dong-Young
Publication Year
2010-04
Abstract
The relationship between significant wave height and period, the variability of significant wave period, the spectral peak enhancement factor, and the directional spreading parameter of large deepwater waves around the Korean Peninsula have been investigated using various sources of wave measurement and hindcasting data. For very large waves comparable to design waves, it is recommended to use the average value of the empirical formulas proposed by Shore Protection Manual in 1977 and by Coda in 2003 for the relationship between significant wave height and period. The standard deviation of significant wave periods non-dimensionalized with respect to the mean value for a certain significant wave height varies between 0.04 and 0.21 with a typical value of 0.1 depending upon different regions and different ranges of significant wave heights. The probability density function of the peak enhancement factor is expressed as a lognormal distribution, with its mean value of 2.14, which is somewhat smaller than the value in the North Sea. For relatively large waves, the probability density function of the directional spreading parameter at peak frequency is also expressed as a lognormal distribution. (C) 2009 Elsevier B.V. All rights reserved.
ISSN
0378-3839
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4114
DOI
10.1016/j.coastaleng.2009.10.016
Bibliographic Citation
COASTAL ENGINEERING, v.57, no.4, pp.375 - 384, 2010
Publisher
ELSEVIER SCIENCE BV
Subject
CAISSON BREAKWATERS; RELIABILITY-DESIGN; DIRECTION; SPECTRUM
Keywords
Coastal structures; Design waves; Wave direction; Wave period; Wave spectrum
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCIENCE BV
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse