Choosing the best fit probability distribution in rainfall design analysis for Pulau Pinang, Malaysia

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dc.contributor.authorRofat Bunmi Mudashiru
dc.contributor.authorIsmail Abustan
dc.contributor.authorNuridah Sabtu
dc.contributor.authorHanizan B. Mukhtar
dc.contributor.authorWaheed Balogun
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T03:08:33Z
dc.date.available2024-05-20T03:08:33Z
dc.date.issued2023
dc.description.abstractDesign rainfall is frequently utilized in the planning and design of urban infrastructure, including culverts and urban drainage systems. The choice of an appropriate probability distribution that sufficiently fits the observed rainfall data is one of the key elements in designing rainfall estimation. The current study compared five probability distribution methods which include Gumbel, log-Normal, Normal, Pearson III, and log-Pearson III probability distribution method (PDMs) to analyze the rainfall pattern of the study area.
dc.identifier.citationMudashiru, R. B., Abustan, I., Sabtu, N., Mukhtar, H. B., & Balogun, W. (2023). Choosing the best fit probability distribution in rainfall design analysis for Pulau Pinang, Malaysia. Modeling Earth Systems and Environment, 9(3), 3217-3227.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1372
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeModeling Earth Systems and Environment
dc.subjectDesign rainfall
dc.subjectProbability distribution methods
dc.subjectInverse distance weighting
dc.subjectKriging
dc.titleChoosing the best fit probability distribution in rainfall design analysis for Pulau Pinang, Malaysia
dc.typeJournal

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