Noor Suraya, Romali and Zulkifli, Yusop (2017) Frequency Analysis of Annual Maximum Flood for Segamat River. In: MATEC Web of Conferences: International Symposium on Civil and Environmental Engineering 2016 (ISCEE 2016) , 5-6 December 2017 , Melaka, Malaysia. pp. 1-9., 103 (04003). ISSN 2261-236X
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Abstract
Several major floods had occurred in the last few decades in Segamat, causing extensive damage to properties and harm local community. For the purpose of flood risk management, this study estimated the average recurrence interval (ARI) and peak flows associated with the ARI based on the distributions of annual peak flow. The flood frequency analysis was performed for flood series data of Segamat River, at Sg. Segamat gauging station (Site 2528414) for the years 1960 – 2011. Five distribution models, namely Generalized Pareto, Generalized Extreme Value, Log-Pearson 3, Log-Normal (3P) and Weibull (3P) were tested for the 52 years flood series data. The goodness of fit test (GOF) of Kolmogorov-Smirnov (K-S) was used to evaluate and estimate the bestfitted distribution. The results obtained using Generalized Pareto distribution provided the best fit, followed by Generalized Extreme Value, Log-Pearson 3, Log-Normal (3P), and the least for Weibull (3P). The estimated peak flows for Segamat River for 50, 100 and 200 ARIs are 1362.2 m3/s, 1914 m3/s and 2642 m3/s respectively. Results can be useful as a reference for further/future flood risk assessment works in the study area.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Distribution models; Flood frequency analysis; Flood risk assessments; Flood risk management |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Faculty of Civil Engineering & Earth Resources |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 24 Jul 2017 03:20 |
| Last Modified: | 16 May 2018 03:54 |
| URI: | http://umpir.ump.edu.my/id/eprint/17537 |
| Download Statistic: | View Download Statistics |
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