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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 364
Proc. IAHS, 364, 159–163, 2014
https://doi.org/10.5194/piahs-364-159-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 364, 159–163, 2014
https://doi.org/10.5194/piahs-364-159-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Sep 2014

16 Sep 2014

Evaluation of the best fit distribution for partial duration series of daily rainfall in Madinah, western Saudi Arabia

F. Alahmadi1,2, N. A. Rahman1,3, and M. Abdulrazzak3 F. Alahmadi et al.
  • 1Department of Hydraulic and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai Campus, 81310 Johor Bahru Johor, Malaysia
  • 2Madinah Water Directorate, Madinah, Kingdom of Saudi Arabia
  • 3Department of Civil Engineering, College of Engineering, Taibah University, Madinah, Kingdom of Saudi Arabia

Keywords: Rainfall frequency analysis; statistical distributions; L-moments; goodness-of-fit tests; arid region; Madinah, Saudi Arabia

Abstract. Rainfall frequency analysis is an essential tool for the design of water related infrastructure. It can be used to predict future flood magnitudes for a given magnitude and frequency of extreme rainfall events. This study analyses the application of rainfall partial duration series (PDS) in the vast growing urban Madinah city located in the western part of Saudi Arabia. Different statistical distributions were applied (i.e. Normal, Log Normal, Extreme Value type I, Generalized Extreme Value, Pearson Type III, Log Pearson Type III) and their distribution parameters were estimated using L-moments methods. Also, different selection criteria models are applied, e.g. Akaike Information Criterion (AIC), Corrected Akaike Information Criterion (AICc), Bayesian Information Criterion (BIC) and Anderson-Darling Criterion (ADC). The analysis indicated the advantage of Generalized Extreme Value as the best fit statistical distribution for Madinah partial duration daily rainfall series. The outcome of such an evaluation can contribute toward better design criteria for flood management, especially flood protection measures.

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