The wave height parameter in ocean waves is one of the important information for a marine structure design. The present paper investigates the results of wave heights distribution from laboratory-generated for single sea state. Data of the random wave time series collected at the ocean basin are analyzed using the wave spectrum and compared with the theoretical spectrum in this study. The random wave data is varied with four sea states consisting of sea states 3, 4, 5 and 6 obtained from laboratory measurements. The parameter conditions of generated sea waves are represented by a value of significant wave height and wave peak period in the range of sea states. The individual wave heights data in each sea state are presented in the form of exceedance probability distribution and the predictions using a linear model. This study aims to estimate the wave heights distribution using the Rayleigh and Weibull distribution model. Furthermore, the accuracy of the wave heights distribution data's prediction results in each sea state has been compared and examined for both models. The applied linear models indicate similar and reasonable estimations on the observed data trends.


    Access

    Download


    Export, share and cite



    Title :

    The Wave Heights Distribution of Random Wave Based on Ocean Basin


    Contributors:


    Publication date :

    2020




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown


    Keywords :


    Forecasting The Ocean Wave Heights Using Linear Genetic Programming

    Nitsure, S. P. / Londhe, S. N. / Khare, K. C. | HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2010

    Free access

    Joint Distribution of Shallow Water Wave Heights and Periods

    Hameed, T. S. S. / Baba, M. / Brazilian Water Resources Association | British Library Conference Proceedings | 1995



    Estimation of Shallow Water Representative Wave Heights

    Rattanapitikon, W. / Shibayama, T. | British Library Online Contents | 2007