Frequency analysis of maximum daily rainfalls via L-moment approach

Knowledge related to distributions of rainfall amounts are of great importance for the design of water related structures. The greater problem faced by the hydrologists and engineers is identifying the best distribution form for regional data. The main goal of the study is to perform regional freque...

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Main Authors: Shabri, Ani, Mohd. Ariff, Noratiqah
Format: Article
Published: Universiti Kebangsaan Malaysia 2009
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Online Access:http://eprints.utm.my/id/eprint/14620/
https://www.researchgate.net/profile/Ani_Shabri2/publication/242490901_Frequency_Analysis_of_Maximum_Daily_Rainfalls_via_L-Moment_Approach_Analisis_Frekuensi_Hujan_Harian_Maksimum_melalui_Kaedah_L-Momen/links/00b49533f67a097edb000000/Frequency-Analysis-of
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spelling my.utm.146202017-10-23T12:11:37Z http://eprints.utm.my/id/eprint/14620/ Frequency analysis of maximum daily rainfalls via L-moment approach Shabri, Ani Mohd. Ariff, Noratiqah QA Mathematics Knowledge related to distributions of rainfall amounts are of great importance for the design of water related structures. The greater problem faced by the hydrologists and engineers is identifying the best distribution form for regional data. The main goal of the study is to perform regional frequency analysis of maximum daily rainfalls selected each year among daily rainfalls measured over stations in Selangor and Kuala Lumpur using the L-moment method. Several distributions were taken into account in this study which include two-parameter normal (NOM), lognormal (LN2), three-parameter lognormal (LN3), logistic (LOG), generalized logistic (GLO), extreme value type I (EVI), generalized extreme value (GEV) and generalized Pareto (GPA) distribution. The most suitable distribution was determined according to the mean absolute deviation index (MADI), mean square deviation index (MSDI) and the L-moment ratio diagram. The result of this study showed that the GLO distribution is the most suitable distribution to fit the data of maximum daily rainfalls for stations in Selangor and Kuala Lumpur. Universiti Kebangsaan Malaysia 2009-04 Article PeerReviewed Shabri, Ani and Mohd. Ariff, Noratiqah (2009) Frequency analysis of maximum daily rainfalls via L-moment approach. Sains Malaysiana, 38 (2). pp. 149-158. ISSN 01266039 https://www.researchgate.net/profile/Ani_Shabri2/publication/242490901_Frequency_Analysis_of_Maximum_Daily_Rainfalls_via_L-Moment_Approach_Analisis_Frekuensi_Hujan_Harian_Maksimum_melalui_Kaedah_L-Momen/links/00b49533f67a097edb000000/Frequency-Analysis-of
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Shabri, Ani
Mohd. Ariff, Noratiqah
Frequency analysis of maximum daily rainfalls via L-moment approach
description Knowledge related to distributions of rainfall amounts are of great importance for the design of water related structures. The greater problem faced by the hydrologists and engineers is identifying the best distribution form for regional data. The main goal of the study is to perform regional frequency analysis of maximum daily rainfalls selected each year among daily rainfalls measured over stations in Selangor and Kuala Lumpur using the L-moment method. Several distributions were taken into account in this study which include two-parameter normal (NOM), lognormal (LN2), three-parameter lognormal (LN3), logistic (LOG), generalized logistic (GLO), extreme value type I (EVI), generalized extreme value (GEV) and generalized Pareto (GPA) distribution. The most suitable distribution was determined according to the mean absolute deviation index (MADI), mean square deviation index (MSDI) and the L-moment ratio diagram. The result of this study showed that the GLO distribution is the most suitable distribution to fit the data of maximum daily rainfalls for stations in Selangor and Kuala Lumpur.
format Article
author Shabri, Ani
Mohd. Ariff, Noratiqah
author_facet Shabri, Ani
Mohd. Ariff, Noratiqah
author_sort Shabri, Ani
title Frequency analysis of maximum daily rainfalls via L-moment approach
title_short Frequency analysis of maximum daily rainfalls via L-moment approach
title_full Frequency analysis of maximum daily rainfalls via L-moment approach
title_fullStr Frequency analysis of maximum daily rainfalls via L-moment approach
title_full_unstemmed Frequency analysis of maximum daily rainfalls via L-moment approach
title_sort frequency analysis of maximum daily rainfalls via l-moment approach
publisher Universiti Kebangsaan Malaysia
publishDate 2009
url http://eprints.utm.my/id/eprint/14620/
https://www.researchgate.net/profile/Ani_Shabri2/publication/242490901_Frequency_Analysis_of_Maximum_Daily_Rainfalls_via_L-Moment_Approach_Analisis_Frekuensi_Hujan_Harian_Maksimum_melalui_Kaedah_L-Momen/links/00b49533f67a097edb000000/Frequency-Analysis-of
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score 13.160551