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| Evaluation of Best -Fit Probability Distribution Models for the Prediction of Rainfall Intensity Duration in Umuahia, Nigeria
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Arimieari, L. W. and Omunakwe, C.
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Abstract:
In this research, the Nigeria Hydrological Services Agency (NIHSA), in Abuja provided data on the amount, duration, and frequency of rainfall in Umuahia, Nigeria. The data was sorted for frequency analysis using two distinct techniques: the Gumbel and Normal distribution approaches. The Talbot Rainfall Intensity Duration Frequency (IDF) Equation, an empirical relationship between maximum rainfall intensity (as dependent variable) and other parameters of interest, such as rainfall duration and frequency (as independent variables), was used to develop the desired curves for the study area. According to the results, the Gumbel Distribution model best fits the data collection. Since these values exceed those of the Normal Distribution, it may be said that the Gumbel is a more reliable measure for the area of study. IDF curves for rainfall intensity duration frequencies were created using the aforementioned procedures. The duration of the curves varied from 10, 15, 30, 60, 120, and 240 minutes for each return period, which was 5, 10, 15, 20, 25, and 30 years. The essential storm duration (a concentration of times for determining peak discharge) for the catchment area, the chosen frequency (return period), and the intensity of rainfall are required variables for the hydrological design of hydraulic structures.
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