Source identification of particulate matter in a semi-urban area of Malaysia using multivariate techniques

N. B A Wahid, Mohd Talib Latif, L. S. Suan, D. Dominick, Mazrura Sahani, S. A. Jaafar, N. Mohd Tahir

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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 (SO4 2-, 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 SO4 2- was the dominant anion, followed by NO3 -, Cl- and F-. The main sources of PM 10 were the Earth's crust/road dust, followed by vehicle emissions, industrial emissions/road activity, and construction/biomass burning.

Original languageEnglish
Pages (from-to)317-322
Number of pages6
JournalBulletin of Environmental Contamination and Toxicology
Volume92
Issue number3
DOIs
Publication statusPublished - Mar 2014

Fingerprint

Particulate Matter
Malaysia
Heavy Metals
Heavy metals
Anions
Cations
Negative ions
Positive ions
Industrial emissions
Vehicle Emissions
Ion chromatography
Inductively coupled plasma mass spectrometry
Dust
Linear regression
Biomass
Chromatography
Linear Models
Mass Spectrometry
Aerodynamics
Earth (planet)

Keywords

  • Elemental composition
  • Multivariate analysis
  • Particulate matter
  • Soluble ions
  • Source apportionment

ASJC Scopus subject areas

  • Health, Toxicology and Mutagenesis
  • Pollution
  • Toxicology

Cite this

Source identification of particulate matter in a semi-urban area of Malaysia using multivariate techniques. / Wahid, N. B A; Latif, Mohd Talib; Suan, L. S.; Dominick, D.; Sahani, Mazrura; Jaafar, S. A.; Mohd Tahir, N.

In: Bulletin of Environmental Contamination and Toxicology, Vol. 92, No. 3, 03.2014, p. 317-322.

Research output: Contribution to journalArticle

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AU - Jaafar, S. A.

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