Source Identification of Particulate Matter in a Semi-urban Area of Malaysia Using Multivariate Techniques

被引:0
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作者
N. B. A. Wahid
M. T. Latif
L. S. Suan
D. Dominick
M. Sahani
S. A. Jaafar
N. Mohd Tahir
机构
[1] Universiti Kebangsaan Malaysia,School of Environmental and Natural Resource Sciences, Faculty of Science and Technology
[2] Universiti Pendidikan Sultan Idris,Department of Biology, Faculty of Science and Mathematics
[3] Universiti Kebangsaan Malaysia,Research Centre for Tropical Climate Change System (IKLIM), Institute for Climate Change
[4] Universiti Kebangsaan Malaysia,Faculty of Health Sciences
[5] Universiti Malaysia Terengganu,Institute of Oceanography and Environment
[6] Universiti Malaysia Terengganu,Environmental Research Group, School of Marine Science and Environment
关键词
Particulate matter; Elemental composition; Soluble ions; Multivariate analysis; Source apportionment;
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摘要
This study aims to determine the composition and sources of particulate matter with an aerodynamic diameter of 10 μm or less (PM10) in a semi-urban area. PM10 samples were collected using a high volume sampler. Heavy metals (Fe, Zn, Pb, Mn, Cu, Cd and Ni) and cations (Na+, K+, Ca2+ and Mg2+) were detected using inductively coupled plasma mass spectrometry, while anions (SO42−, NO3−, Cl− and F−) were analysed using Ion Chromatography. Principle component analysis and multiple linear regressions were used to identify the source apportionment of PM10. Results showed the average concentration of PM10 was 29.5 ± 5.1 μg/m3. The heavy metals found were dominated by Fe, followed by Zn, Pb, Cu, Mn, Cd and Ni. Na+ was the dominant cation, followed by Ca2+, K+ and Mg2+, whereas SO42− was the dominant anion, followed by NO3−, Cl− and F−. The main sources of PM10 were the Earth’s crust/road dust, followed by vehicle emissions, industrial emissions/road activity, and construction/biomass burning.
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页码:317 / 322
页数:5
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