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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5,093
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6,992
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PDF: 1,797
XML: 102
Total: 6,992
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EndNote: 193
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Cumulative views and downloads
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Total article views: 5,803 (including HTML, PDF, and XML)
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4,507
1,215
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5,803
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HTML: 4,507
PDF: 1,215
XML: 81
Total: 5,803
Supplement: 361
BibTeX: 103
EndNote: 175
Views and downloads (calculated since 05 Oct 2021)
Cumulative views and downloads
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Total article views: 1,189 (including HTML, PDF, and XML)
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586
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Total: 1,189
Supplement: 199
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EndNote: 18
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 6,992 (including HTML, PDF, and XML)
Thereof 6,992 with geography defined
and 0 with unknown origin.
Total article views: 5,803 (including HTML, PDF, and XML)
Thereof 5,803 with geography defined
and 0 with unknown origin.
Total article views: 1,189 (including HTML, PDF, and XML)
Thereof 1,173 with geography defined
and 16 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...
