Wave-period distribution and statistics at the Hua-lien waters

碩士 === 國立交通大學 === 土木工程系所 === 94 === In this study, Erlang, Gamma, Rayleigh, and Longuet-Higgins distribution were chosen to examine the best distribution of wave period among these four distributions for the field data in the whole year 2004 at the Hua-lien waters using four criteria that are the ro...

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Main Authors: Tsai hung-wei, 蔡弘偉
Other Authors: Hsien-Kuo Chang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/51897711658341351557
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spelling ndltd-TW-094NCTU50150432016-05-27T04:18:37Z http://ndltd.ncl.edu.tw/handle/51897711658341351557 Wave-period distribution and statistics at the Hua-lien waters 花蓮海域波浪之週期分佈及其統計特性研究 Tsai hung-wei 蔡弘偉 碩士 國立交通大學 土木工程系所 94 In this study, Erlang, Gamma, Rayleigh, and Longuet-Higgins distribution were chosen to examine the best distribution of wave period among these four distributions for the field data in the whole year 2004 at the Hua-lien waters using four criteria that are the root mean square error, determinant coefficient, the double-peaked distribution and the isolated peaked distribution. Meanwhile five to seven groups are the most suitable number of histogram of wave period of each data. The predicted significant period and average period are theoretically derived using the first and second moment of the spectrum of the Erlang distribution. For every data set Erlang distribution is the best approach to the wave period distributions when the significant wave height is over 1.5m. Otherwhile the significant wave height is smaller than 1.5m, Longuet-Higgins distribution is the best wave period distributions. However, the significant wave periods of one-month, quarter-month, and one year are also examined to best fit the Normal distribution. Hsien-Kuo Chang 張憲國 2006 學位論文 ; thesis 93 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立交通大學 === 土木工程系所 === 94 === In this study, Erlang, Gamma, Rayleigh, and Longuet-Higgins distribution were chosen to examine the best distribution of wave period among these four distributions for the field data in the whole year 2004 at the Hua-lien waters using four criteria that are the root mean square error, determinant coefficient, the double-peaked distribution and the isolated peaked distribution. Meanwhile five to seven groups are the most suitable number of histogram of wave period of each data. The predicted significant period and average period are theoretically derived using the first and second moment of the spectrum of the Erlang distribution. For every data set Erlang distribution is the best approach to the wave period distributions when the significant wave height is over 1.5m. Otherwhile the significant wave height is smaller than 1.5m, Longuet-Higgins distribution is the best wave period distributions. However, the significant wave periods of one-month, quarter-month, and one year are also examined to best fit the Normal distribution.
author2 Hsien-Kuo Chang
author_facet Hsien-Kuo Chang
Tsai hung-wei
蔡弘偉
author Tsai hung-wei
蔡弘偉
spellingShingle Tsai hung-wei
蔡弘偉
Wave-period distribution and statistics at the Hua-lien waters
author_sort Tsai hung-wei
title Wave-period distribution and statistics at the Hua-lien waters
title_short Wave-period distribution and statistics at the Hua-lien waters
title_full Wave-period distribution and statistics at the Hua-lien waters
title_fullStr Wave-period distribution and statistics at the Hua-lien waters
title_full_unstemmed Wave-period distribution and statistics at the Hua-lien waters
title_sort wave-period distribution and statistics at the hua-lien waters
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/51897711658341351557
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AT càihóngwěi huāliánhǎiyùbōlàngzhīzhōuqīfēnbùjíqítǒngjìtèxìngyánjiū
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