Laboratori de Raigs-X, Institute of Environmental Assessment and Water Research (IDÆA), Consejo Superior de Investigaciones Científicas (CSIC), C/Jordi Girona, 18-26, 08034 Barcelona, Spain
School of Geography Earth and Environmental Science, University of
Birmingham, Birmingham, B15 2TT, UK
also at: Department of Environmental Sciences/Centre of
Excellence in Environmental Studies, King Abdulaziz University, P.O. Box
80203, Jeddah, 21589, Saudi Arabia
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5,354
1,892
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7,361
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237
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PDF: 1,892
XML: 115
Total: 7,361
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BibTeX: 136
EndNote: 237
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Cumulative views and downloads
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Total article views: 6,155 (including HTML, PDF, and XML)
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4,761
1,302
92
6,155
373
120
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HTML: 4,761
PDF: 1,302
XML: 92
Total: 6,155
Supplement: 373
BibTeX: 120
EndNote: 216
Views and downloads (calculated since 05 Oct 2021)
Cumulative views and downloads
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Total article views: 1,206 (including HTML, PDF, and XML)
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593
590
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1,206
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Total: 1,206
Supplement: 212
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EndNote: 21
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 7,361 (including HTML, PDF, and XML)
Thereof 7,361 with geography defined
and 0 with unknown origin.
Total article views: 6,155 (including HTML, PDF, and XML)
Thereof 6,155 with geography defined
and 0 with unknown origin.
Total article views: 1,206 (including HTML, PDF, and XML)
Thereof 1,189 with geography defined
and 17 with unknown origin.
This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PMF) at urban and rural sites in Beijing. These factors are interpreted as traffic emissions, biomass burning, road and soil dust, coal and oil combustion, and secondary inorganics. PMF failed to resolve some sources identified by CMB and AMS and appears to overestimate the dust sources. Comparison with earlier PMF studies from the Beijing area highlights inconsistent findings using this method.
This study presents the source apportionment of PM2.5 performed by positive matrix factorization...
