CIVIL & ARCHITECTURE DOMAIN
Published December 5, 2023 | Version v1
Journal article Open

Estimation of Rainfall Duration Frequency Curve for Owerri, Nigeria

Creators

Description

Intensity-Duration-Frequency (IDF) relationship is one of the most commonly used tools in water resources engineering. The purpose of this study was to develop rainfall intensity- duration-frequency models/curves for Owerri Metropolis, Nigeria. Rainfall data was obtainedfrom Nigeria Hydrological ServicesAgency (NIHSA) and sorted for frequencyanalysis. Two differentfrequency analysis techniques namely, Normal and Gumbel distributions were used to develop the IDF relationships for Owerri. Storm durations of 10, 15, 30, 60, 120 and 240 minutes, and return periods of 5, 10, 15, 20, 25, and 30 years were adopted for the derivation of the models. Talbot empirical technique was used to develop the IDF curves for this study. Goodness of fit tests were conducted using NSE and R2 with Easy Fit software to ascertain the best distribution that fits the data.

Files

Estimation of Rainfall Duration Frequency Curve for Owerri.pdf

Files (1.0 MB)

Additional details

References

  • 1. Hadadin, N.A. (2005). Rainfall intensity–duration–frequency relationship in the Mujib basin in Jordan. Journal of Applied Science, 8(10), 1777–1784.
  • 2. Ehiorobo, J. O. (2012). Sustainable flood risk assessment and flood management in Nigeria: obstacles, challenges and solutions. Speech/Lecture delivered on the occasion of the end of the year luncheon/AGM of the Nigerian Institution of civil Engineers on Saturday December 15, 2012, Etuonovbe A.K., The devastating effect of flooding in Nigeria, TS06J Hydrography and Environment, FIG working week 2011, Marrakech, Morocco 2011.
  • 3. Abida, H. & Ellouze, M. (2008). "Probability distribution of Flood Flows in Tunisia" Hydrol. Earth Syst. Sci., 12, 703–714.
  • 4. Adenuga, I. O. (2002). Flood Frequency Analysis of Ogun River Basin" unpublished B.Eng. Thesis, Department of Water Resources Management and Agricultural Meteorology, College of Environmental Resources Management, University of Agriculture, Abeokuta.
  • 5. Bayliss, A. C., & Reed, D.W. (2001). The use of Historical Data in Flood frequency estimation" Executive Summary for National Environmental Research Council, Oxfordshire, OX 10, UK.
  • 6. Diana, S., Jurate K., (2011). Flood frequency Analysis of Lithuanian rivers. Available at: www.leidykla.vgtu.lt/conferences/Env iro2011..
  • 7. Ehiorobo, J. O & Izinyon O. C. (2013). Flood Frequency Analysis at Oshun River at Asejire Dam Site Nigeria. Journal of Earth Science and Engineering, 3(1), 292-300.
  • 8. Gabriele, V. & James A. S., (2010). Flood Peak Distributions for the Eastern United States. Water Resources Research, 46(6), 1 -17.
  • 9. Houessou-Dossou, E. A., Gathenya, J. M., Njuguna, M. B., & Gariy, Z. C. (2019). Flood Frequency Analysis Using Participatory GIS and Rainfall Data for Two Stations in Narok Town, Kenya. Hydrology.
  • 10. Rahman, A. S., Rahman, A., Zaman, M. A., Haddad, K., Ahsan, A., & Imteaz, M. (2013). A study on selection of probability distributions for at-site flood frequency analysis in Australia. Natural Hazards, 69(1), 1803 – 1813.