A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan

This study was designed to find the best-fit probability distribution of annual maximum rainfall based on a twenty-four-hour sample in the northern regions of Pakistan using four probability distributions: normal, log-normal, log-Pearson type-III and Gumbel max. Based on the scores of goodness of fi...

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Bibliographic Details
Published inOpen life sciences Vol. 11; no. 1; pp. 432 - 440
Main Authors Amin, M. T., Rizwan, M., Alazba, A. A.
Format Journal Article
LanguageEnglish
Published De Gruyter Open 01.01.2016
De Gruyter
Subjects
goodness of fit tests
probability distributions
rainfall
rainfall estimates
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Summary:This study was designed to find the best-fit probability distribution of annual maximum rainfall based on a twenty-four-hour sample in the northern regions of Pakistan using four probability distributions: normal, log-normal, log-Pearson type-III and Gumbel max. Based on the scores of goodness of fit tests, the normal distribution was found to be the best-fit probability distribution at the Mardan rainfall gauging station. The log-Pearson type-III distribution was found to be the best-fit probability distribution at the rest of the rainfall gauging stations. The maximum values of expected rainfall were calculated using the best-fit probability distributions and can be used by design engineers in future research.
ISSN:2391-5412
2391-5412
DOI:10.1515/biol-2016-0057