INCORPORATION OF WEIBULL DISTRIBUTION IN L-MOMENTS METHOD FOR

Yoshimi Goda; Masanobu Kudaka; Hiroyasu Kawai

doi:10.9753/icce.v32.waves.62

No. 32 (2010), Waves

No. 32 (2010)

INCORPORATION OF WEIBULL DISTRIBUTION IN L-MOMENTS METHOD FOR

Waves

https://doi.org/10.9753/icce.v32.waves.62

Published 2011-01-21

Yoshimi Goda⁺⁻
Masanobu Kudaka⁺⁻
Hiroyasu Kawai⁺⁻

Yoshimi Goda

ECOH CORPORATION

Masanobu Kudaka

ECOH CORPORATION

Hiroyasu Kawai

Port and Airport Res. Inst.

Proceedings of the 32nd International Conference

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Keywords

extreme wave analysis
distribution function
Weibull distribution
GPA distribution
L-moments
regional

How to Cite

Goda, Y., Kudaka, M., & Kawai, H. (2011). INCORPORATION OF WEIBULL DISTRIBUTION IN L-MOMENTS METHOD FOR. Coastal Engineering Proceedings, 1(32), waves.62. https://doi.org/10.9753/icce.v32.waves.62

Abstract

The L-moments of the Weibull distribution are derived and incorporated in the regional frequency analysis of peaksover-threshold significant wave heights at eleven stations along the eastern coast of Japan Sea. The effective duration of wave measurements varies from 18.0 to 37.2 years with the mean rate of 10.4 to 15.1 events per year. The eleven stations are divided into three regions to assure homogeneity of the data. Both the Weibull and Generalized Pareto (GPA) distributions fit well to the observed data. The 100-year wave height varied from 8.2 to 11.2 m by the Weibull and 7.6 to 10.3 m by the GPA. The GPA distribution is not recommended for determination of design waves for these stations because it has an inherent upper limit and a tendency of under-prediction. References Coles, S. 2001. An Introduction to Statistical Modeling of Extreme Values, Springer, 208p. Goda, Y., Konagaya, O., Takeshita, N., Hitomi, H., and T. Nagai. 2000. Population distribution of extreme wave heights estimated through regional analysis, Coastal Engineering 2000 (Proc. 26th ICCE, Sydney), ASCE, Sydney, 1078-1091. Greenwood, J A., J. M. Landwehr, N. C. Matalas, and J. R. Wallis. 1978. Probability weighted moments: Definition and relation to parameters of several distributions expressable in inverse form, Water Resources Res., Vol. 15, No. 5, pp. 1049-1064. http://dx.doi.org/10.1029/WR015i005p01049 Hosking, J. R. M. 1990. L-moments: Analysis and estimation of distributions using linear combinations of order statistics, J. Roy. Statistical Soc., Series B, 52, pp. 105-24. Hosking, J. R. M. and J. R. Wallis. 1997. Regional Frequency Analysis, Cambridge Univ. Press, 224p. http://dx.doi.org/10.1017/CBO9780511529443 Ma, Q.-S., Li, Y.-B., and J. Li .2006. Regional frequency analysis of siginicant wave heights based on L-moments, China Ocean Engineering, 20(1), pp. 85-98. Petruaskas, C. and P. M. Aagaard. 1971. Extrapolation of historical storm data for estimating design wave heights, J. Soc. Petroleum Engrg., 11, pp. 23-27. van Gelder, P. H. A. J. M. 2000. Statistical Methods for the Risk-Based Design of Civil Structures, Ph.D. thesis Delft University of Technology, 249p. van Gelder, P. H. A. J. M., J. De Ronde, N. W. Neykov, and P. Neytchev. 2000. Regional frequency analysis of extreme wave heights: trading space for time, Coastal Engineering 2000

https://doi.org/10.9753/icce.v32.waves.62

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INCORPORATION OF WEIBULL DISTRIBUTION IN L-MOMENTS METHOD FOR

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