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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IAEME Publication
2023
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| _version_ | 1833410269131309056 |
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| author | Abdullah S. Ismail M. Ahmed A.N. |
| author2 | 56509029800 |
| author_facet | 56509029800 Abdullah S. Ismail M. Ahmed A.N. |
| author_sort | Abdullah S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uniten.dspace-23781 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | IAEME Publication |
| record_format | dspace |
| 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 |
| spellingShingle | Abdullah S. Ismail M. Ahmed A.N. Identification of air pollution potential sources through Principal component analysis (PCA) |
| title | 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_short | Identification of air pollution potential sources through Principal component analysis (PCA) |
| title_sort | identification of air pollution potential sources through principal component analysis (pca) |
| url_provider | http://dspace.uniten.edu.my/ |