Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula

The objective of this study is to determine the magnitude and frequency of floods for Sarawak using Gumbel distribution. Nineteen stations were selected for the study based on the criteria stated in Hydrological Procedure No. 4 (HP4). The probability plot and flood-frequency curves by Gumbel distr...

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Main Authors: Onni S., Selaman, Salim, Said, Putuhena, F.J.
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2007
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Online Access:http://ir.unimas.my/id/eprint/10207/1/Onni%20S..pdf
http://ir.unimas.my/id/eprint/10207/
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Institution: Universiti Malaysia Sarawak
Language: English
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spelling my.unimas.ir.102072022-01-19T07:46:18Z http://ir.unimas.my/id/eprint/10207/ Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula Onni S., Selaman Salim, Said Putuhena, F.J. TC Hydraulic engineering. Ocean engineering The objective of this study is to determine the magnitude and frequency of floods for Sarawak using Gumbel distribution. Nineteen stations were selected for the study based on the criteria stated in Hydrological Procedure No. 4 (HP4). The probability plot and flood-frequency curves by Gumbel distribution of each individual station are prepared using three different plotting position formulas (i.e. Weibull, Gringorten and L-Moments). From the results and analysis of each individual station, Gumbel distribution based on L-Moments always give the least ratio of peak discharge of T year’s recurrence interval over mean annual flood (QT/MAF) but at some stations, it gives unreasonable return period (T) and reduced variate (y) range. The appropriateness of L-moments with Gumbel distribution had some limitation. It is only good for small samples data. If compared between Gumbel distribution by Weibull formula and Gumbel distribution by Gringorten formula, the latter is better because it gives the least ratio (which is in agreement with the literature). Therefore, it could be concluded that for some stations, LMoments method is the best, but since L-Moments method had some limitations, Gringorten formula is still the best plotting position method to be applied with Gumbel distribution. The Institution of Engineers, Malaysia 2007 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/10207/1/Onni%20S..pdf Onni S., Selaman and Salim, Said and Putuhena, F.J. (2007) Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula. Journal - The Institution of Engineers, Malaysia, 68 (1). ISSN 0538-0057
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TC Hydraulic engineering. Ocean engineering
spellingShingle TC Hydraulic engineering. Ocean engineering
Onni S., Selaman
Salim, Said
Putuhena, F.J.
Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
description The objective of this study is to determine the magnitude and frequency of floods for Sarawak using Gumbel distribution. Nineteen stations were selected for the study based on the criteria stated in Hydrological Procedure No. 4 (HP4). The probability plot and flood-frequency curves by Gumbel distribution of each individual station are prepared using three different plotting position formulas (i.e. Weibull, Gringorten and L-Moments). From the results and analysis of each individual station, Gumbel distribution based on L-Moments always give the least ratio of peak discharge of T year’s recurrence interval over mean annual flood (QT/MAF) but at some stations, it gives unreasonable return period (T) and reduced variate (y) range. The appropriateness of L-moments with Gumbel distribution had some limitation. It is only good for small samples data. If compared between Gumbel distribution by Weibull formula and Gumbel distribution by Gringorten formula, the latter is better because it gives the least ratio (which is in agreement with the literature). Therefore, it could be concluded that for some stations, LMoments method is the best, but since L-Moments method had some limitations, Gringorten formula is still the best plotting position method to be applied with Gumbel distribution.
format Article
author Onni S., Selaman
Salim, Said
Putuhena, F.J.
author_facet Onni S., Selaman
Salim, Said
Putuhena, F.J.
author_sort Onni S., Selaman
title Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
title_short Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
title_full Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
title_fullStr Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
title_full_unstemmed Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
title_sort flood frequency analysis for sarawak using weibull, gringorten and l-moments formula
publisher The Institution of Engineers, Malaysia
publishDate 2007
url http://ir.unimas.my/id/eprint/10207/1/Onni%20S..pdf
http://ir.unimas.my/id/eprint/10207/
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