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

This 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, glo...

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Main Authors: Abdullah S., Ismail M., Ahmed A.N.
Other Authors: 56509029800
Format: Article
Published: IAEME Publication 2023
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id my.uniten.dspace-23781
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spelling my.uniten.dspace-237812023-05-29T14:51:48Z Identification of air pollution potential sources through Principal component analysis (PCA) Abdullah S. Ismail M. Ahmed A.N. 56509029800 57210403363 57214837520 This 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. Final 2023-05-29T06:51:48Z 2023-05-29T06:51:48Z 2018 Article 2-s2.0-85052367655 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052367655&partnerID=40&md5=b8cc25b5fc8291272743a8f4bf723654 https://irepository.uniten.edu.my/handle/123456789/23781 9 7 1435 1442 IAEME Publication Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This 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.
author2 56509029800
author_facet 56509029800
Abdullah S.
Ismail M.
Ahmed A.N.
format Article
author Abdullah S.
Ismail M.
Ahmed A.N.
spellingShingle Abdullah S.
Ismail M.
Ahmed A.N.
Identification of air pollution potential sources through Principal component analysis (PCA)
author_sort Abdullah S.
title Identification of air pollution potential sources through Principal component analysis (PCA)
title_short Identification of air pollution potential sources through Principal component analysis (PCA)
title_full Identification of air pollution potential sources through Principal component analysis (PCA)
title_fullStr Identification of air pollution potential sources through Principal component analysis (PCA)
title_full_unstemmed Identification of air pollution potential sources through Principal component analysis (PCA)
title_sort identification of air pollution potential sources through principal component analysis (pca)
publisher IAEME Publication
publishDate 2023
_version_ 1806426395597864960
score 13.2014675

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