ASSESSMENT OF THE BEST PROBABILITY DISTRIBUTION METHOD IN RAINFALL FREQUENCY ANALYSIS FOR A TROPICAL REGION

Authors

  • Stephen Luo Sheng Yong Faculty of Engineering, Technology and Built Environment, UCSI University Kuala Lumpur, Malaysia
  • Jing Lin Ng Faculty of Engineering, Technology and Built Environment, UCSI University Kuala Lumpur, Malaysia
  • Yuk Feng Huang Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia
  • Chun Kit Ang F aculty of Engineering, Technology and Built Environment, UCSI University Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.11113/mjce.v33.16253

Keywords:

IDF curve, Gumbel, Log Pearson Type III, Normal, Goodness of fit tests

Abstract

The Intensity-Duration-Frequency (IDF) curve defines the relationship between rainfall intensities at certain durations and with the frequencies. The IDF Curve is extensively used in many applications such as flood modelling and peak discharge estimation. Over the years, the frequent occurrence of flood has become a great challenge in Kelantan river basin. Herein, IDF curves using frequency analyses based on different distributions were developed and compared. The historical rainfall data at eight rainfall stations for the period of 1985-2019 were selected for the assessment purpose. The Gumbel, Normal and Log Pearson Type III distributions were fitted into the annual maximum rainfall series for durations varying from 30 minutes to 24 hours. The goodness of fit tests were then used to evaluate the performances of each frequency distribution. It was found that the Gumbel distribution gave the highest passing rate followed by the Log Pearson Type III and then the Normal distributions. The Gumbel distribution resulted in respective 86% and 75% passing rate since most of the p-values generated by both the K-S and the Mann-Whitney test were greater than 5% of significance level leading to the acceptance of the null hypothesis. Thus, the Gumbel distribution is suggested for the frequency analyses in this study.

Author Biography

Stephen Luo Sheng Yong, Faculty of Engineering, Technology and Built Environment, UCSI University Kuala Lumpur, Malaysia

Faculty of Engineering, Technology and Built Environment (FETBE)

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Published

2021-03-25

How to Cite

Yong, S. L. S., Ng, J. L. ., Huang, Y. F. ., & Ang, C. K. . (2021). ASSESSMENT OF THE BEST PROBABILITY DISTRIBUTION METHOD IN RAINFALL FREQUENCY ANALYSIS FOR A TROPICAL REGION. Malaysian Journal of Civil Engineering, 33(1). https://doi.org/10.11113/mjce.v33.16253

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