Frequency Analysis of Annual Maximum Flood for Segamat River

Romali, Noor Suraya; Yusop, Zulkifli

doi:10.1051/matecconf/201710304003

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…Return periods of 2, 5, 10, 25, 50, and 100-year were used. Then, EasyFit software and Kolmogorov-Smirnov test (K-S) were used to select the most appropriate statistical distribution for maximum discharge data (Romali and Yusop 2017a;Farooq et al 2018;Ahmad et al 2023). Some important speci cations of the studied RGS in Ardabil province were listed in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Iso-severity flood hazard patterns in diverse relief and climatic regions to support flood management

Mostafazadeh

Khiavi

2023

Preprint

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Floods are one of the most devastating natural events that threaten social and economic conditions more than any other natural disaster. Therefore, the aim of this study was to map the Iso-severity flood patterns and determining the seasonality of flood events over different return periods in in Ardabil province, Iran with diverse relief and climatic regions. Thus, the data of 32 River Gauge Stations (RGS) were used in the spatiotemporal analysis in a 40-year recorded period. EasyFit software was used to determine the most appropriate statistical distribution for the discharge data at 2-, 5-, 10-, 25-, 50- and 100-year return periods. Then, the frequency of monthly and seasonal flood events was quantified in each RGS. Then, the significant trend of flood frequency in each RGS was tested, and the seasonality of flood events was explored. According to the results, it can be said that in the studied RGS, about 63.63% of the floods are occurred in April. On the other hand, the seasonality of flood events showed that the maximum number and percentage of flood events are assigned to spring season over different return periods. As in some stations such as Yamchi, Nouran, Naneh-Karan, Mashiran, Amouqin, Doroud and Pole- Almas, almost 100% of the floods are related to spring and this shows that the floods in Ardabil province are spring floods. Iso-severity flood mapping in different return periods showed that the frequency of floods was higher than the central and northern regions in the southern and highlands of the study area. It is necessary for the southern and Iso-severity flood areas of the province, while conducting the necessary studies, proper planning should be considered with the focus on Integrated Watershed Management (IWM) in order to reduce the flood occurrence in the future and minimize its human and economic losses.

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Section: Methodsmentioning

confidence: 99%

Iso-severity flood hazard patterns in diverse relief and climatic regions to support flood management

Mostafazadeh

Khiavi

2023

Preprint

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“…Among statistical distribution which are commonly used to describe extreme events are Lognormal (3 Parameters), Generalized Extreme Value (GEV), Generalized Pareto (GPA), Weibull, Fréchet, Gumbel, Pearson (3 Parameters), Generalized Logistics and Kappa distribution [6][7] [8]. L-moment is a linear combination of probability weighted moments which gives a simple interpretation of the location, shape and dispersion of the sample data.…”

Section: Methodsmentioning

confidence: 99%

Flood Frequency Analysis of Tidal Data at Pelabuhan Klang, Malaysia

Hamzah¹,

Tajudin²,

Abdullah³

et al. 2020

IJETT

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Flooding will continue being an issue as long as there are group of peoples who stays nearby the shore line area with high risk factor. Thus, flood frequency analysis at this location should always be updated from time to time. This study focuses on analysis at Pelabuhan Klang area. This port is one of the most important port located in Peninsular Malaysia. It is greatly functional and there are many active activities going on there such as transferring goods between one ship to another, port throughput and the port infrastructure. This study attempts to determine magnitude of high tide at selected return period at Pelabuhan Klang. There are several distributions namely Weibull, Gumbel, Generalized Extreme Value, Generalized Pareto and Lognormal with 3 parameters. L-moment method is selected to determine estimation of parameter due to its robustness to outliers and is most commonly applied in hydrology. Based on the analysis, all five distribution is significant, however, Weibull distribution is most fitted to the annual maximum data of high tide at

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“…K-S at 5% level of significant (p<0.05) was used to define the best fit ranking. The detailed description of flood frequency analysis is described in [28].…”

Section: Flood Frequency Analysismentioning

confidence: 99%

Application of Hec-Ras and Arc Gis for Floodplain Mapping in Segamat Town, Malaysia

Romali¹

2018

GEOMATE

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Nowadays, a risk-based flood mitigation concept has received more attention rather than the conventional flood control approach in reducing the impacts of flooding. With the intention to assist in the management of flood risk, flood modeling is useful in providing information on the flood extent and flood characteristics. This paper presents the application of HEC-RAS model to the development of floodplain maps for an urban area in Segamat town in Malaysia. The analysis used Interferometric Synthetic Aperture Radar (IFSAR) as the main modeling input data. Five distribution models, namely Generalized Pareto, Generalized Extreme Value, Log-Pearson 3, Log-Normal (3P) and Weibull (3P) were tested in flood frequency analysis to calculate extreme flows with different return periods. Using Kolmogorov-Smirnov (KS) test, the Generalized Pareto was found to be the best distribution for the Segamat River. The peak floods from frequency analysis for selected return periods were input into the HEC-RAS model to find the expected corresponding flood levels. Results obtained from HEC-RAS model were used in ArcGIS to prepare floodplain maps for different return periods. The results indicated that most of the inundated areas in the simulated 100 year return period were also affected by 2011 historical floods. For 100 years flood simulation, the inundated area was almost 5 times larger than the simulated 10 years' flood.

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Frequency Analysis of Annual Maximum Flood for Segamat River

Cited by 9 publications

References 14 publications

Iso-severity flood hazard patterns in diverse relief and climatic regions to support flood management

Iso-severity flood hazard patterns in diverse relief and climatic regions to support flood management

Flood Frequency Analysis of Tidal Data at Pelabuhan Klang, Malaysia

Application of Hec-Ras and Arc Gis for Floodplain Mapping in Segamat Town, Malaysia

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