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Identification of air pollution potential sources through Principal component analysis (PCA)

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dc.citedby10
dc.contributor.authorAbdullah S.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorid56509029800en_US
dc.contributor.authorid57210403363en_US
dc.contributor.authorid57214837520en_US
dc.date.accessioned2023-05-29T06:51:48Z
dc.date.available2023-05-29T06:51:48Z
dc.date.issued2018
dc.description.abstractThis study intended to determine the air pollution potential sources at different land use of urban, sub-urban and rural areas. Principal Component Analysis (PCA) was utilized in analyzing the meteorological parameters (wind speed, relative humidity, ambient temperature, mean sea level pressure, global radiation, and rainfall amount) and air pollutants data (particulate matter, carbon monoxide, nitrogen dioxide, sulphur dioxide) from year 2010-2014. Result shows that the main contributor is motor vehicles, followed by the influences of meteorology and seasonality. The results can help local authority in managing air quality and controlling the main contributor of air pollution for a better air quality. � IAEME Publication.en_US
dc.description.natureFinalen_US
dc.identifier.epage1442
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85052367655
dc.identifier.spage1435
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85052367655&partnerID=40&md5=b8cc25b5fc8291272743a8f4bf723654
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23781
dc.identifier.volume9
dc.publisherIAEME Publicationen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Civil Engineering and Technology
dc.titleIdentification of air pollution potential sources through Principal component analysis (PCA)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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