A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches

In data scarce regions, regionalization provides a means for estimating hydrological extremes. In this study, regional pooling of 1-, 3-, 5- and 10-day annual maximum rainfall from 1948 to 2013 at 32 stations across Terengganu, Malaysia is used in a standard regional frequency analysis using the we...

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Main Authors: Roslinazairimah, Zakaria, Noor Fadhilah, Ahmad Radi, Ngongondo, Cosmo S., Muhammad Az-Zuhri, Azman
格式: Conference or Workshop Item
语言:English
出版: 2014
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在线阅读:http://umpir.ump.edu.my/id/eprint/8612/1/fist-2014-roslinazairimah-Regional_Frequency_Analysis.pdf
http://umpir.ump.edu.my/id/eprint/8612/
https://drive.google.com/file/d/0B02jW7Y1R3ICX0s0dG9XN3I1dVU/view?usp=sharing
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spelling my.ump.umpir.86122015-03-03T09:42:32Z http://umpir.ump.edu.my/id/eprint/8612/ A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches Roslinazairimah, Zakaria Noor Fadhilah, Ahmad Radi Ngongondo, Cosmo S. Muhammad Az-Zuhri, Azman Q Science (General) In data scarce regions, regionalization provides a means for estimating hydrological extremes. In this study, regional pooling of 1-, 3-, 5- and 10-day annual maximum rainfall from 1948 to 2013 at 32 stations across Terengganu, Malaysia is used in a standard regional frequency analysis using the well-known L-moments approach. The objectives of this study are (1) to estimate extreme rainfall in Terengganu, Malaysia using regional pooling of frequency analysis, (2) to establish a well-designed and accurate procedures of analysis of rainfall extremes in Terengganu using the regional frequency approach and (3) to improve the understanding of spatial rainfall characteristics as a main cause for design and planning practices in flood control. Cluster analysis is performed to determine the homogeneity of rainfall regions based on at-site characteristics. The cluster analysis has identified four rainfall regions based on homogeneity and heterogeneity tests using Monte Carlo simulations with regional average L-moment ratios fitted to the Kappa distribution. On the basis of the accuracy of the derived index rainfall quantiles, the regional rainfall frequency approach is found to be acceptable and had smaller uncertainty as compared to at-site estimates. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8612/1/fist-2014-roslinazairimah-Regional_Frequency_Analysis.pdf Roslinazairimah, Zakaria and Noor Fadhilah, Ahmad Radi and Ngongondo, Cosmo S. and Muhammad Az-Zuhri, Azman (2014) A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches. In: Proceedings of the 10th IMT‐GT International Conference On Mathematics, Statistics And Its Applications (ICMSA 2014), 14-16 October 2014 , Kuala Terengganu. pp. 667-674.. https://drive.google.com/file/d/0B02jW7Y1R3ICX0s0dG9XN3I1dVU/view?usp=sharing
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Ngongondo, Cosmo S.
Muhammad Az-Zuhri, Azman
A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
description In data scarce regions, regionalization provides a means for estimating hydrological extremes. In this study, regional pooling of 1-, 3-, 5- and 10-day annual maximum rainfall from 1948 to 2013 at 32 stations across Terengganu, Malaysia is used in a standard regional frequency analysis using the well-known L-moments approach. The objectives of this study are (1) to estimate extreme rainfall in Terengganu, Malaysia using regional pooling of frequency analysis, (2) to establish a well-designed and accurate procedures of analysis of rainfall extremes in Terengganu using the regional frequency approach and (3) to improve the understanding of spatial rainfall characteristics as a main cause for design and planning practices in flood control. Cluster analysis is performed to determine the homogeneity of rainfall regions based on at-site characteristics. The cluster analysis has identified four rainfall regions based on homogeneity and heterogeneity tests using Monte Carlo simulations with regional average L-moment ratios fitted to the Kappa distribution. On the basis of the accuracy of the derived index rainfall quantiles, the regional rainfall frequency approach is found to be acceptable and had smaller uncertainty as compared to at-site estimates.
format Conference or Workshop Item
author Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Ngongondo, Cosmo S.
Muhammad Az-Zuhri, Azman
author_facet Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Ngongondo, Cosmo S.
Muhammad Az-Zuhri, Azman
author_sort Roslinazairimah, Zakaria
title A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
title_short A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
title_full A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
title_fullStr A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
title_full_unstemmed A Regional Frequency Analysis of Annual Maximum Rainfall in Terengganu using the Index Rainfall and L-moments Approaches
title_sort regional frequency analysis of annual maximum rainfall in terengganu using the index rainfall and l-moments approaches
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8612/1/fist-2014-roslinazairimah-Regional_Frequency_Analysis.pdf
http://umpir.ump.edu.my/id/eprint/8612/
https://drive.google.com/file/d/0B02jW7Y1R3ICX0s0dG9XN3I1dVU/view?usp=sharing
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score 13.250246