Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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 dis...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/1231/1/FH03-FIK-18-12078.pdf http://eprints.unisza.edu.my/1231/ |
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| Summary: | 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 LH-moments method. LHmoment, 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 LHmoments method is more efficient and reasonable than the L-moments method for
estimating data of the upper part of the distribution events. |
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