Rainfall Pattern in Pakistan in the Perspective of Probability Distribution

Probability distribution of Pakistan rainfall big cities

Authors

  • Muhammad Fahim Akhter Mathematical Sciences Research Centre, Federal Urdu University of Arts, Sciences and Technology, Karachi, Pakistan
  • Shaheen Abbas Mathematical Sciences Research Centre, Federal Urdu University of Arts, Sciences and Technology, Karachi, Pakistan

Keywords:

Kolmogorov Smirnov, Anderson Darling, Chi-Square, Rainfall pattern, Probability Distribution

Abstract

Rainfall of Pakistan big cities (Karachi, Peshawar, Quetta, Lahore, and Islamabad) are investigated by the probability distribution. The time series range of monthly analysis (1961 to 2015) is used. In this study, Johnson SB, Gen. Pareto, Pareto 2, Power function and Weibull are fitted for rainfall. The significance of probability distribution is estimated by Kolmogorov-Smirnov, Anderson Darling and Chi-square statistical tests. The Johnson SB is the bestfitted distribution observed for each rainfall cities using Chi-square test, while the other two test shows the variation in fitted distribution. In our study of the distribution, all rainfall stations obtained (excess of Kurtosis > 0) is leptokurtic.

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Published

2021-03-08

How to Cite

Akhter, M. F., & Abbas, S. (2021). Rainfall Pattern in Pakistan in the Perspective of Probability Distribution: Probability distribution of Pakistan rainfall big cities. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 57(3), 31–38. Retrieved from http://ppaspk.org/index.php/PPAS-A/article/view/12

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Articles