PM10 Source Apportionment in Ahvaz, Iran, Using Positive Matrix Factorization

Authors

  • Mohammad Hossein Sowlat,

    1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
    2. Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
    3. Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
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  • Kazem Naddafi,

    Corresponding author
    1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
    2. Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
    • Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Enghelab St., Tehran, Iran

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  • Masud Yunesian,

    1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
    2. Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
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  • Peter L. Jackson,

    1. Environmental Science and Engineering, University of Northern British Columbia, Prince George, Canada
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  • Saeedeh Lotfi,

    1. Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran
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  • Abbas Shahsavani

    1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Abstract

Source apportionment of particulate matter <10 µm in diameter (PM10), having considerable impacts on human health and the environment, is of high priority in air quality management. The present study, therefore, aimed at identifying the potential sources of PM10 in an arid area of Ahvaz located in southwest of Iran. For this purpose, we collected 24-h PM10 samples by a high volume air sampler. The samples were then analyzed for their elemental (Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, K, Mg, Mn, Na, Ni, Pb, Se, Si, Sn, Sr, Li, Ti, V, Zn, Mo, and Sb) and ionic (NHmath formula, Cl, NOmath formula, and SOmath formula) components using inductively coupled plasma optical emission spectrometry and ion chromatography instruments, respectively. Eight factors were identified by positive matrix factorization: crustal dust (41.5%), road dust (5.5%), motor vehicles (11.5%), marine aerosol (8.0%), secondary aerosol (9.5%), metallurgical plants (6.0%), petrochemical industries and fossil fuel combustion (13.0%), and vegetative burning (5.0%). Result of this study suggested that the natural sources contribute most to PM10 particles in the area, followed closely by the anthropogenic sources.

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