Open AccessRainfall frequency analysis using LH-moments approach: A case of Kemaman Station, Malaysia
Author(s) -
Zalmiyah Zakaria,
Jarah Moath Ali Suleiman,
Mohd Saberi Mohamad
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.15.11363
Subject(s) - l moment , moment (physics) , method of moments (probability theory) , mathematics , statistics , order statistic , distribution (mathematics) , generalization , flood myth , cumulant , mathematical analysis , geography , physics , archaeology , classical mechanics , estimator
Statistical analysis of extreme events is often carried out to obtain the probability distribution of floods data and then predict the occurrence of floods for a significant return period. L-moments approach is known as the most popular approach in frequency analysis. This paper discusses comparison of the L-moments method with higher order moments (LH-moments) method. LH-moment, a generalization of L-moment, which is proposed based on the linear combinations of higher-order statistics has been used to characterize the upper part of distributions and larger events in flood data. It is observed from a comparative study that the results of the analysis of observed data and the diagram based on the K3D-II distribution using LH-moments method is more efficient and reasonable than the L-moments method for estimating data of the upper part of the distribution events.