Research Article

Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria

Volume: 3 Number: 1 July 9, 2020
EN

Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria

Abstract

The aim of this study is to analyze rainfall data so as to develop rainfall intensity – duration – frequency (IDF) models and curves for Abuja metropolis, Nigeria. A thirty-one years data set was obtained, checked for consistency and then used for the modeling. The method of Annual Series was used to select the data sets for the rainfall analysis. The data were fitted to Gumbel Extreme Value Type – 1 (GEVT – 1), Log Pearson Type III (LPT – 3), Pearson Type III (PLT – 3), Normal and Log Normal (LN) Distributions. Probability distribution function (PDF) and Non-Probability distribution function (nPDF) were calibrated to obtain the IDF models. Chi-squared goodness-of- fit test was used to confirm the appropriateness of the fitted distributions for the location. The Gumbel Extreme Value distribution has the best fit and was adopted in developing models using the PDF (power model). The location parameters resulting from GEVT – 1 were determined thus: c = 23.16, m = 0.21 and e = 0.55. Five IDF models were developed using the nPDF (quotient model) for return periods of 2, 5, 10, 16 and 32 years. The coefficient of correlation (R2) for different return periods for all models developed showed very high values ranging from 0.7538 to 0.9927, an indication of good curve fitting. The IDF models developed for Abuja showed no significant difference when compared with results from locations within the same zone using t-test of significance though durations of 12 and 24 hours had exceptions. The application of IDF models (power law and quotient) with return period of 10 years and rainfall duration of 2 hours for design of a typical rectangular drainage channel was found to be okay. The IDF models and curves are recommended for the prediction of rainfall events for Abuja.

Keywords

Supporting Institution

Nil

Thanks

thanks to NIMET for making available rainfall data

References

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  2. 2. Nwaogazie IL and Sam MG. Probability and Non-Probability Rainfall Intensity-Duration-Frequency Modeling for Port-Harcourt Metropolis, Nigeria. International Journal of Hydrology, 2019; 3(1): 66 ‒75.
  3. 3. Rapheal MW. Estimating Rainfall Intensity – Duration – Frequency (IDF) Curves for a Tropical River Basin. International Journal of Advanced Research and Publications, 2019; 3 (4): 99 – 106.
  4. 4. Alemaw BF and Chaoka RT. Regionalization of Rainfall Intensity-Duration Frequency (IDF) curves in Botswana. Journal of Water Resource and Protection, 2016; 8 (12): 1128-1144.
  5. 5. Carlier E and Khattabi JE. Impact of global warming on Intensity-Duration-Frequency (IDF) relationship of precipitation, a case study of Toronto, Canada. Open Journal of Modern Hydrology, 2016; 6 (1): 1-7.
  6. 6. Wagesho N and Claire M. Analysis of rainfall Intensity- Duration Frequency relationship for Rwanda. Journal of Water Resource and Protection, 2016; 8 (7): 706-723.
  7. 7. Nwaogazie LL and Duru EO. Developing Rainfall - Intensity-Duration- Frequency Models for Port Harcourt City. Nigeria Society of Engineers Technical Transaction, 2002; 37(2): 19-32.
  8. 8. Nwoke HU and Okoro BC. Rainfall - Intensity-Frequency Regime for Warri, South-South, Nigeria Journal of New Clues in Sciences, 2012; 2: 42-49.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

July 9, 2020

Submission Date

April 23, 2020

Acceptance Date

July 6, 2020

Published in Issue

Year 2020 Volume: 3 Number: 1

APA
Apken, G., Omale, E., & Ekwule, O. (2020). Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria. Usak University Journal of Engineering Sciences, 3(1), 13-33. https://izlik.org/JA88DG88HU
AMA
1.Apken G, Omale E, Ekwule O. Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria. UUJES. 2020;3(1):13-33. https://izlik.org/JA88DG88HU
Chicago
Apken, Gabriel, Ejeh Omale, and Oloche Ekwule. 2020. “Frequency Modeling of Rainfall Intensities Using a Probability and a Non-Probability Distribution Function for Abuja Metropolis, Nigeria”. Usak University Journal of Engineering Sciences 3 (1): 13-33. https://izlik.org/JA88DG88HU.
EndNote
Apken G, Omale E, Ekwule O (July 1, 2020) Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria. Usak University Journal of Engineering Sciences 3 1 13–33.
IEEE
[1]G. Apken, E. Omale, and O. Ekwule, “Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria”, UUJES, vol. 3, no. 1, pp. 13–33, July 2020, [Online]. Available: https://izlik.org/JA88DG88HU
ISNAD
Apken, Gabriel - Omale, Ejeh - Ekwule, Oloche. “Frequency Modeling of Rainfall Intensities Using a Probability and a Non-Probability Distribution Function for Abuja Metropolis, Nigeria”. Usak University Journal of Engineering Sciences 3/1 (July 1, 2020): 13-33. https://izlik.org/JA88DG88HU.
JAMA
1.Apken G, Omale E, Ekwule O. Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria. UUJES. 2020;3:13–33.
MLA
Apken, Gabriel, et al. “Frequency Modeling of Rainfall Intensities Using a Probability and a Non-Probability Distribution Function for Abuja Metropolis, Nigeria”. Usak University Journal of Engineering Sciences, vol. 3, no. 1, July 2020, pp. 13-33, https://izlik.org/JA88DG88HU.
Vancouver
1.Gabriel Apken, Ejeh Omale, Oloche Ekwule. Frequency modeling of rainfall intensities using a probability and a non-probability distribution function for Abuja metropolis, Nigeria. UUJES [Internet]. 2020 Jul. 1;3(1):13-3. Available from: https://izlik.org/JA88DG88HU

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