Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur

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dc.contributor.authorJannatul Naemah Mohamed Sedek
dc.contributor.authorNor Azam Ramli
dc.contributor.authorAhmad Shukri Yahaya
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:22Z
dc.date.available2024-05-10T03:25:22Z
dc.date.issued2006
dc.description.abstractMalaysia's capital city of Kuala Lumpur has been developed from a small settlement at the confluence of the Klang and Gombak rivers into a vibrant and bustling metropolis. The associated rapid economic growths have started to impose costs in terms of industrial pollution and the degradation of urban environment. Air pollution is a major issue in this city that has been affecting human health, agricultural crops, forest species, and ecosystems. This paper reports findings of a research aimed at developing a tool needed to analyze the statistical characters of air quality data in Kuala Lumpur, Malaysia. In this study, the theoretical distribution Log Normal was used to fit the parent distribution of PM10 for 1998 and 2002 for Kuala Lumpur.
dc.identifier.citationSedek, J. N. M., Ramli, N. A., & Yahaya, A. S. (2006). Air quality predictions using lognormal distribution functions of particulate matter in Kuala Lumpur. Malaysian Journal of Environmental Management, 7(3).
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/549
dc.language.isoen
dc.publisherEnvironmental Management Society Malaysia
dc.publisher.alternativeMalaysian Journal of Environmental Management
dc.titleAir quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
dc.typeJournal

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