Source apportionment of PM10 in Delhi,India using PCA/APCS,UNMIX and PMF |
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| Institution: | 1. University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA;2. Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran;3. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran;4. Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran;2. Geometric Tools, LLC, 2909 181st Ave NE, Redmond, WA 98052, United States;3. University of Helsinki, Dept. of Physics, Rikalantie 6, 00970, Helsinki, Finland;4. U.S. EPA, Office of Research and Development, Research Triangle Park, NC, United States;1. Department of Civil Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh 208016, India;2. Centre for Environmental Science and Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh 208016, India;1. Istituto di Scienze dell''Atmosfera e del Clima, ISAC-CNR, Lecce 73100, Italy;2. Alfaanalisi Laboratory s.r.l., Poggiardo, LE 73037, Italy;3. Dipartimento di Matematica e Fisica, Università del Salento, 73100 Lecce, Italy |
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| Abstract: | Source apportionment of particulate matter (PM10) measurements taken in Delhi, India between January 2013 and June 2014 was carried out using two receptor models, principal component analysis with absolute principal component scores (PCA/APCS) and UNMIX. The results were compared with previous estimates generated using the positive matrix factorization (PMF) receptor model to investigate each model’s source-apportioning capability. All models used the PM10 chemical composition (organic carbon (OC), elemental carbon (EC), water soluble inorganic ions (WSIC), and trace elements) for source apportionment. The average PM10 concentration during the study period was 249.7 ± 103.9 μg/m3 (range: 61.4–584.8 μg/m3). The UNMIX model resolved five sources (soil dust (SD), vehicular emissions (VE), secondary aerosols (SA), a mixed source of biomass burning (BB) and sea salt (SS), and industrial emissions (IE)). The PCA/APCS model also resolved five sources, two of which also included mixed sources (SD, VE, SD+SS, (SA+BB+SS) and IE). The PMF analysis differentiated seven individual sources (SD, VE, SA, BB, SS, IE, and fossil fuel combustion (FFC)). All models identified the main sources contributing to PM10 emissions and reconfirmed that VE, SA, BB, and SD were the dominant contributors in Delhi. |
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| Keywords: | Receptor model PCA/APCS UNMIX PMF Source apportionment |
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