Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia

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dc.contributor.authorK. C. Tan
dc.contributor.authorH. S. Lim
dc.contributor.authorM. Z. Mat Jafri
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T02:53:41Z
dc.date.available2024-05-10T02:53:41Z
dc.date.issued2014
dc.description.abstractThis study aimed to predict monthly columnar ozone (O3) in Peninsular Malaysia by using data on the concentration of environmental pollutants. Data (2003-2008) on five atmospheric pollutant gases (CO2, O3, CH4, NO2, and H2O vapor) retrieved from the satellite Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) were employed to develop a model that predicts columnar ozone through multiple linear regression.
dc.identifier.citationTan, K. C., Lim, H. S., & Mat Jafri, M. Z. (2014). Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia. Environmental science and pollution research, 21, 7567-7577.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/477
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeEnvironmental Science and Pollution Research
dc.subjectOzone
dc.subjectRegression
dc.subjectSCIAMACHY
dc.subjectPeninsular Malaysia
dc.titleMultiple regression analysis in modeling of columnar ozone in Peninsular Malaysia
dc.typeJournal

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