Publication | Open Access
A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan
83
Citations
5
References
2016
Year
HydrometeorologyMeteorologyEngineeringAnnual Maximum RainfallDroughtBest-fit Probability DistributionCivil EngineeringGeographyNorthern RegionsGumbel MaxWeather ForecastingSummer MonsoonMeteorological MeasurementApplied MeteorologyHydrologyStatisticsMardan Rainfall
Abstract 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.
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