Regional frequency analysis of maximum daily rainfalls using TL-Moment approach

Analyzing rainfalls data are important in order to obtain the probability distribution of flood. The main aim of the study is to perform regional frequency analysis of maximum daily rainfalls measured over stations in Selangor and Kuala Lumpur by using the TL-moment method with t = 0, t = 1 and t =...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd. Ariff, Noratiqah
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/12545/1/NoratiqahMohdAriffMFSA2009.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.12545
record_format uketd_dc
spelling my-utm-ep.125452018-06-04T09:54:07Z Regional frequency analysis of maximum daily rainfalls using TL-Moment approach 2009-10 Mohd. Ariff, Noratiqah QA Mathematics Analyzing rainfalls data are important in order to obtain the probability distribution of flood. The main aim of the study is to perform regional frequency analysis of maximum daily rainfalls measured over stations in Selangor and Kuala Lumpur by using the TL-moment method with t = 0, t = 1 and t = 2. Initially, the maximum of each daily rainfall for each year were obtained. Then, parameters of every distributions considered including the normal (N), logistic (LOG), generalized logistic (GLO), extreme value type I (EV), generalized extreme value (GEV) and generalized Pareto (GPA) distribution were estimated using TL-moment approach. TL-moments with t = 0 are known as L-moments while TL-moments with and imply TLmoments that are symmetrically trimmed by one and two conceptual sample values respectively. The most suitable distribution were determined according to the mean absolute deviation index (MADI), mean square deviation index (MSDI) and correlation, r. L-moment and TL-moment ratio diagrams provided visual proofs of the results. The L-moment method showed that the generalized logistic (GLO) distribution is the best distribution whilst TL-moment method with t = 1 and t = 2 concluded that the extreme value type I (EV) and generalized extreme value (GEV) distributions are the most suitable distributions to fit the data of maximum daily rainfalls for stations in Selangor and Kuala Lumpur. 2009-10 Thesis http://eprints.utm.my/id/eprint/12545/ http://eprints.utm.my/id/eprint/12545/1/NoratiqahMohdAriffMFSA2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mohd. Ariff, Noratiqah
Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
description Analyzing rainfalls data are important in order to obtain the probability distribution of flood. The main aim of the study is to perform regional frequency analysis of maximum daily rainfalls measured over stations in Selangor and Kuala Lumpur by using the TL-moment method with t = 0, t = 1 and t = 2. Initially, the maximum of each daily rainfall for each year were obtained. Then, parameters of every distributions considered including the normal (N), logistic (LOG), generalized logistic (GLO), extreme value type I (EV), generalized extreme value (GEV) and generalized Pareto (GPA) distribution were estimated using TL-moment approach. TL-moments with t = 0 are known as L-moments while TL-moments with and imply TLmoments that are symmetrically trimmed by one and two conceptual sample values respectively. The most suitable distribution were determined according to the mean absolute deviation index (MADI), mean square deviation index (MSDI) and correlation, r. L-moment and TL-moment ratio diagrams provided visual proofs of the results. The L-moment method showed that the generalized logistic (GLO) distribution is the best distribution whilst TL-moment method with t = 1 and t = 2 concluded that the extreme value type I (EV) and generalized extreme value (GEV) distributions are the most suitable distributions to fit the data of maximum daily rainfalls for stations in Selangor and Kuala Lumpur.
format Thesis
qualification_level Master's degree
author Mohd. Ariff, Noratiqah
author_facet Mohd. Ariff, Noratiqah
author_sort Mohd. Ariff, Noratiqah
title Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
title_short Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
title_full Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
title_fullStr Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
title_full_unstemmed Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
title_sort regional frequency analysis of maximum daily rainfalls using tl-moment approach
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2009
url http://eprints.utm.my/id/eprint/12545/1/NoratiqahMohdAriffMFSA2009.pdf
_version_ 1747814941119741952