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, DOI https://doi.org/10.1016/j.atmosenv.2012.06.021.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Department of Chemistry, Faculty of Science Building, University of Malaya, 50603 Kuala Lumpur, MALAYSIA |
| Uncontrolled Keywords: | Air pollutants, HACA, MLR, Multivariate analysis, PCA, Multi variate analysis, Air quality, Carbon monoxide, Cluster analysis, Linear regression, Population statistics, Principal component analysis, Vehicles, Multivariant analysis, aircraft, ambient air, atmospheric pollution, database, pollution monitoring, spatial analysis, wind velocity, air monitoring, air pollutant, air pollution, article, combustion, correlation analysis, environmental temperature, exhaust gas, geographic distribution, humidity, industry, Malaysia, meteorology, multiple linear regression analysis, particulate matter, population density, priority journal, wind |
| Subjects: | Q Science > QD Chemistry |
| Divisions: | Faculty of Science > Department of Chemistry |
| Depositing User: | Miss Malisa Diana |
| Date Deposited: | 14 May 2013 01:31 |
| Last Modified: | 25 Oct 2019 09:16 |
| URI: | http://eprints.um.edu.my/id/eprint/6088 |
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