Vol. 1, December 2023
Estimating Rainfall Intensity Duration-Frequency (IDF) Curves for River Rokel Catchment in Tonkolili District Using Satellite Rainfall Data
Amadu Barrie, Osman Koroma and Melvin B Scott
Abstract
Extreme rainfall events have been a frequent cause of economic, social, and environmental disasters
and are critical to hydrologic design and risk assessment. Rainfall Intensity-Duration-Frequency
(IDF) relationship is one among the plethora of tools used for planning, designing and operating
water resource development infrastructures. The study aimed at establishing IDF curves for the river
Rokel catchment in Tonkolili district using satellite rainfall data. The Chi-square goodness of fit test
was used to test the goodness of fit of empirical data to the two theoretical frequency distributions in
this study. From the results of the Chi-square goodness of fit test on annual maximum series of
rainfall, it was established that all of the data fit the two distributions at the level of significance of ?
=0.05, which yields ?????
????
2 =54.56, and ? =0.1, which yields ?????
2 =50.65 are both greater than
2 =1.42 and 1.75 for Gumbel and GEV distribution respectively for a degree of freedom of N-1
=39. The frequency analysis shows that the Gumbel distribution gives a maximum intensity of 420.76
mm/hr at return period of 500 years with duration of 0.083 hours and minimum intensity of 4.63
mm/hr at return period of 2 years with duration of 24 hours. The GEV distribution gives a maximum
intensity of 419.47 mm/hr at return period of 500 years with duration of 0.083 hours and minimum
intensity of 4.61 mm/hr at return period of 2 years with duration of 24 hours.
Keywords
Rainfall, Intensity-duration frequency relationship, Goodness of fit test, Probability distributions.
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