Studies on the Criteria of Design Wave Height for Fishing Harbors

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基本資料

Project title

Code/計畫編號

90農科-1.4.5-漁-F4(6)

Translated Name/計畫中文名

漁港設計波高模式建立方法研究

Funding Organization/主管機關

Council of Agriculture,Executive Yuan

Co-Investigator(s)/共同執行人

蕭葆羲
周宗仁

Department/Unit

Department of Harbor and River Engineering

Website

https://www.grb.gov.tw/search/planDetail?id=1046416

Year

2001

Start date/計畫起

01-01-2001

Expected Completion/計畫迄

01-12-2001

Co-Investigator(s)

Bao-Shi Shiau

Bugetid/研究經費

700千元

ResearchField/研究領域

土木水利工程

本計畫擬藉著有系統地整理台灣地區各大漁港附近測站現有的海象量測資料, 找出它們特有的波高及周期的機率分佈模式和頻譜的特性.再利用不同測站之間的相互相關關係, 藉著所謂的區域模式, 建立其它各個小漁港特有之波高、週期的統計模式.最後利用數值模擬延長現有的海象記錄, 並利用極值統計的模式建立起台灣地區各個漁港五○年一遇之最大波高與其之週期, 以提供日後漁港工程設計時之參考依據.計畫目標: 建立波高模擬模式.架構( 重要工作項目 ): 本計畫本年度主要工作項目及實施方法可分為下列數項: 整理文獻裡有關波浪的短期及長期統計模式, 撰寫電腦程式: 目前已撰寫完有關短期的統計模式包括: Rayleigh、常態、Weibull等; 有關長期的統計模式包括: Fisher-Tippett第一類( Gumbel )模式、對數-常態、指數、以及Gamma分佈等模式; 建立模擬波浪記錄的數學模式: 預備利用時間序列裡通用的方式-譬如說( 一個參數的線性 )自我相關( ARMA或ARIMA )模式等, 或是參考其它非線性的模式等; 收集各個大漁港附近測站的波浪記錄, 轉譯、輸入實測資料; 利用數值模擬方法補足波浪資料中缺失、空白處並利用數學模式延長波浪記錄; 預期效益: 本計畫完成後可望建立起台灣地區各個漁港五○-一○○年一遇之最大波高與其之週期, 以提供日後漁港工程設計時之參考依據. When planning a construction for fishing harbors, quite often is the case that there is only a limited amount of data of the sea state available.As a way out of this dilemma, coastal engineers have either to resort to measurements made somewhere else, which can, however, be located kilometers away from the interested sites; or to start to record for a few months.The acute problems associated with either of these methods are rather clear.It can be argued that, for the former the sea states could bear absolutely no resemblance of the two sites, and as for the latter, there is the problem as to whether short-term sea state characteristics can be used for long-term predictions.The main objective of this project is to set up the criteria of the design wave height for fishing harbors.In the first place, statistical models for long-term distribution of significant wave heights used by researchers will be summarized.These can include models such as, the lognormal distribution, the Weibull distribution, the beta and the gamma distribution.Then, methods found in the literature will be used to study the possibility of simulating measured wave heights.Models like the Auto-Regressive model ( AR ), the Moving-Average model ( MA ), the Auto-Regressive and Moving-Average model ( ARMA ), and the Auto-Regressive and Moving-Average ( ARMA )model, as well as the Auto-Regressive and Integrated Moving-Average ( ARIMA )model, are presently under consideration.If there is enough time, nonlinear models will also be taken into consideration.Thirdly, a model for prediction using simulated time series will be built up.It is hoped that with such a model a short-term time series of significant wave heights of, for example, a year, can be elongated and becomes suitable to be used for predicting design wave height, and periods, for fishing harbours, where suitable data are missing.

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Studies on the Criteria of Design Wave Height for Fishing Harbors

基本資料

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