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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: Flood Frequency Analysis of Ikpoba River Catchment at Benin City Using Log Pearson Type III Distribution
by O.C. Izinyon, N. Ihimekpen and G.E. Igbinoba

Abstract:
In this study, a flood frequency analysis (FFA) of Ikpoba River Catchment at Benin City, Edo State Nigeria was undertaken using the Log-Pearson Type III probability distribution, one of the numerous probability distribution functions used to model hydrologic phenomena that are characterized by significant variability not deterministically explained by physical principles. The study was motivated by the need for safe and economic hydrologic design and assessments in the catchment area. The log-Pearson type III probability distribution was used to model the annual peak discharge for the river for the period 1989 to 2000 based on stream flow measurements carried out by Benin Owena River Basin Development Authority. The probability distribution function was applied to return periods (T) of T = 2 yrs, 5yrs, 10yrs, 25yrs, 50yrs, 100yrs and 200 yrs commonly used in for engineering design of hydraulic structures. The estimated discharges obtained are 46.34m3/s, 55.84m3/s, 61m3/s, 66.89m3/s, 70.73m3/s, 74.18m3/s and 77.38m3/s respectively. these values are useful for hydraulic design of structures in the catchment area and for storm water management The model which relates the expected discharge(y) to return period is given by y= 6.546ln(x) + 44.4
Keywords: flood frequency analysis, return period, log pearson distribution frequency factor ____
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

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