Seasonal and Non-Seasonal Generalized Pareto Distribution to Estimate Extreme Significant Wave Height in The Banda Sea

Nursamsiah, Nursamsiah and Sugianto, Denny Nugroho and Suprijanto, Jusup and Munasik, Munasik and Yulianto, Bambang (2018) Seasonal and Non-Seasonal Generalized Pareto Distribution to Estimate Extreme Significant Wave Height in The Banda Sea. IOP Conference Series: Earth and Environmental Science, 116 . ISSN 1755-1315

[img]
Preview
PDF (Artikel Proseding)
1067Kb
[img]
Preview
PDF (Hasil Turnitin)
2297Kb
[img]
Preview
PDF (Hasil Per Review)
6Mb

Official URL: http://iopscience.iop.org/article/10.1088/1755-131...

Abstract

The information of extreme wave height return level was required for maritime planning and management. The recommendation methods in analyzing extreme wave were better distributed by Generalized Pareto Distribution (GPD). Seasonal variation was often considered in the extreme wave model. This research aims to identify the best model of GPD by considering a seasonal variation of the extreme wave. By using percentile 95 % as the threshold of extreme significant wave height, the seasonal GPD and non-seasonal GPD fitted. The Kolmogorov-Smirnov test was applied to identify the goodness of fit of the GPD model. The return value from seasonal and non-seasonal GPD was compared with the definition of return value as criteria. The Kolmogorov-Smirnov test result shows that GPD fits data very well both seasonal and non-seasonal model. The seasonal return value gives better information about the wave height characteristics.

Item Type:Article
Subjects:S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions:Faculty of Fisheries and Marine Sciences > Department of Marine Science
ID Code:67437
Deposited By:Bayu Munandar
Deposited On:02 Dec 2018 19:58
Last Modified:04 Aug 2019 02:32

Repository Staff Only: item control page