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A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin

Flood frequency analysis should consider small and frequent floods. Despite the complexities in partial duration series implementation, it can give a better flood estimation in a way that it does not exclude any significant high flow events, even if it is not the highest event of the year. This stud...

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Main Authors: Firdaus Mohamad Hamzah,, Hazrina Tajudin,, Othman Jaafar,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/17548/1/2.pdf
http://journalarticle.ukm.my/17548/
https://www.ukm.my/jsm/malay_journals/jilid50bil7_2021/KandunganJilid50Bil7_2021.html
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spelling my-ukm.journal.175482021-11-15T01:28:38Z http://journalarticle.ukm.my/17548/ A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin Firdaus Mohamad Hamzah, Hazrina Tajudin, Othman Jaafar, Flood frequency analysis should consider small and frequent floods. Despite the complexities in partial duration series implementation, it can give a better flood estimation in a way that it does not exclude any significant high flow events, even if it is not the highest event of the year. This study employs the streamflow data recorded at Kajang station, Sungai Langat, Malaysia over a 36-year period spanning from 1978 to 2013. The paper attempts to conduct flood frequency analysis using two approaches, annual maximum and partial duration series. The optimal threshold value is selected to be 48.7 m3/s, where the dispersion index stabilizes at around 1, DI = 1. The results have shown that generalized extreme value (GEV) distribution describes the annual maximum data while the lognormal (LN3) and generalized Pareto (GPA) distribution is chosen as the best fit distribution at Kajang station for a partial duration series. There is a slight difference between estimated streamflow magnitude when using GPA and LN3 for selected return periods, while a considerable difference was observed when using annual maximum at a higher return period. As a conclusion, PDS gives more relevant magnitude estimation rather than AMS. Flood frequency plays an important role in understanding the nature and magnitude of high flow, which in turn can assist relevant agencies in the design of hydrological structures and reduce flood impacts. Penerbit Universiti Kebangsaan Malaysia 2021-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17548/1/2.pdf Firdaus Mohamad Hamzah, and Hazrina Tajudin, and Othman Jaafar, (2021) A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin. Sains Malaysiana, 50 (7). pp. 1843-1856. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil7_2021/KandunganJilid50Bil7_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Flood frequency analysis should consider small and frequent floods. Despite the complexities in partial duration series implementation, it can give a better flood estimation in a way that it does not exclude any significant high flow events, even if it is not the highest event of the year. This study employs the streamflow data recorded at Kajang station, Sungai Langat, Malaysia over a 36-year period spanning from 1978 to 2013. The paper attempts to conduct flood frequency analysis using two approaches, annual maximum and partial duration series. The optimal threshold value is selected to be 48.7 m3/s, where the dispersion index stabilizes at around 1, DI = 1. The results have shown that generalized extreme value (GEV) distribution describes the annual maximum data while the lognormal (LN3) and generalized Pareto (GPA) distribution is chosen as the best fit distribution at Kajang station for a partial duration series. There is a slight difference between estimated streamflow magnitude when using GPA and LN3 for selected return periods, while a considerable difference was observed when using annual maximum at a higher return period. As a conclusion, PDS gives more relevant magnitude estimation rather than AMS. Flood frequency plays an important role in understanding the nature and magnitude of high flow, which in turn can assist relevant agencies in the design of hydrological structures and reduce flood impacts.
format Article
author Firdaus Mohamad Hamzah,
Hazrina Tajudin,
Othman Jaafar,
spellingShingle Firdaus Mohamad Hamzah,
Hazrina Tajudin,
Othman Jaafar,
A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
author_facet Firdaus Mohamad Hamzah,
Hazrina Tajudin,
Othman Jaafar,
author_sort Firdaus Mohamad Hamzah,
title A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
title_short A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
title_full A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
title_fullStr A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
title_full_unstemmed A comparative flood frequency analysis of high-flow between annual maximum and partial duration series at Sungai Langat Basin
title_sort comparative flood frequency analysis of high-flow between annual maximum and partial duration series at sungai langat basin
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/17548/1/2.pdf
http://journalarticle.ukm.my/17548/
https://www.ukm.my/jsm/malay_journals/jilid50bil7_2021/KandunganJilid50Bil7_2021.html
_version_ 1717094734966554624
score 13.211869

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