Spatial assessment of air quality patterns in malaysia using multivariate analysis
This study aims to investigate possible sources of air pollutants and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009). The multivariate analysis was applied on the dataset. It incorporated Hierarchical Agglomerative Cluster An...
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my.um.eprints.60882019-10-25T09:16:55Z http://eprints.um.edu.my/6088/ Spatial assessment of air quality patterns in malaysia using multivariate analysis Dominick, D. Aris, A.Z. Zain, Sharifuddin Md Latif, M.T. Juahir, H. QD Chemistry This study aims to investigate possible sources of air pollutants and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009). The multivariate analysis was applied on the dataset. It incorporated Hierarchical Agglomerative Cluster Analysis (HACA) to access the spatial patterns, Principal Component Analysis (PCA) to determine the major sources of the air pollution and Multiple Linear Regression (MLR) to assess the percentage contribution of each air pollutant. The HACA results grouped the eight monitoring stations into three different clusters, based on the characteristics of the air pollutants and meteorological parameters. The PCA analysis showed that the major sources of air pollution were emissions from motor vehicles, aircraft, industries and areas of high population density. The MLR analysis demonstrated that the main pollutant contributing to variability in the Air Pollutant Index (API) at all stations was particulate matter with a diameter of less than 10 μm (PM 10). Further MLR analysis showed that the main air pollutant influencing the high concentration of PM 10 was carbon monoxide (CO). This was due to combustion processes, particularly originating from motor vehicles. Meteorological factors such as ambient temperature, wind speed and humidity were also noted to influence the concentration of PM 10. © 2012 Elsevier Ltd. 2012 Article PeerReviewed Dominick, D. and Aris, A.Z. and Zain, Sharifuddin Md and Latif, M.T. and Juahir, H. (2012) Spatial assessment of air quality patterns in malaysia using multivariate analysis. Atmospheric Environment, 60. pp. 172-181. ISSN 13522310 http://www.scopus.com/inward/record.url?eid=2-s2.0-84863755433&partnerID=40&md5=42b8f440d43c4d52cc11b10e4b6b9323 10.1016/j.atmosenv.2012.06.021 |
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QD Chemistry Dominick, D. Aris, A.Z. Zain, Sharifuddin Md Latif, M.T. Juahir, H. Spatial assessment of air quality patterns in malaysia using multivariate analysis |
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This study aims to investigate possible sources of air pollutants and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009). The multivariate analysis was applied on the dataset. It incorporated Hierarchical Agglomerative Cluster Analysis (HACA) to access the spatial patterns, Principal Component Analysis (PCA) to determine the major sources of the air pollution and Multiple Linear Regression (MLR) to assess the percentage contribution of each air pollutant. The HACA results grouped the eight monitoring stations into three different clusters, based on the characteristics of the air pollutants and meteorological parameters. The PCA analysis showed that the major sources of air pollution were emissions from motor vehicles, aircraft, industries and areas of high population density. The MLR analysis demonstrated that the main pollutant contributing to variability in the Air Pollutant Index (API) at all stations was particulate matter with a diameter of less than 10 μm (PM 10). Further MLR analysis showed that the main air pollutant influencing the high concentration of PM 10 was carbon monoxide (CO). This was due to combustion processes, particularly originating from motor vehicles. Meteorological factors such as ambient temperature, wind speed and humidity were also noted to influence the concentration of PM 10. © 2012 Elsevier Ltd. |
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Article |
author |
Dominick, D. Aris, A.Z. Zain, Sharifuddin Md Latif, M.T. Juahir, H. |
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Dominick, D. Aris, A.Z. Zain, Sharifuddin Md Latif, M.T. Juahir, H. |
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Dominick, D. |
title |
Spatial assessment of air quality patterns in malaysia using multivariate analysis |
title_short |
Spatial assessment of air quality patterns in malaysia using multivariate analysis |
title_full |
Spatial assessment of air quality patterns in malaysia using multivariate analysis |
title_fullStr |
Spatial assessment of air quality patterns in malaysia using multivariate analysis |
title_full_unstemmed |
Spatial assessment of air quality patterns in malaysia using multivariate analysis |
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spatial assessment of air quality patterns in malaysia using multivariate analysis |
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2012 |
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http://eprints.um.edu.my/6088/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84863755433&partnerID=40&md5=42b8f440d43c4d52cc11b10e4b6b9323 |
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