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Open AccessFeature PaperArticle

Source Apportionment and Influencing Factor Analysis of Residential Indoor PM2.5 in Beijing

National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Int. J. Environ. Res. Public Health 2018, 15(4), 686; https://doi.org/10.3390/ijerph15040686
Received: 28 February 2018 / Revised: 24 March 2018 / Accepted: 3 April 2018 / Published: 5 April 2018
(This article belongs to the Special Issue Indoor Environmental Quality)
In order to identify the sources of indoor PM2.5 and to check which factors influence the concentration of indoor PM2.5 and chemical elements, indoor concentrations of PM2.5 and its related elements in residential houses in Beijing were explored. Indoor and outdoor PM2.5 samples that were monitored continuously for one week were collected. Indoor and outdoor concentrations of PM2.5 and 15 elements (Al, As, Ca, Cd, Cu, Fe, K, Mg, Mn, Na, Pb, Se, Tl, V, Zn) were calculated and compared. The median indoor concentration of PM2.5 was 57.64 μg/m3. For elements in indoor PM2.5, Cd and As may be sensitive to indoor smoking, Zn, Ca and Al may be related to indoor sources other than smoking, Pb, V and Se may mainly come from outdoor. Five factors were extracted for indoor PM2.5 by factor analysis, explained 76.8% of total variance, outdoor sources contributed more than indoor sources. Multiple linear regression analysis for indoor PM2.5, Cd and Pb was performed. Indoor PM2.5 was influenced by factors including outdoor PM2.5, smoking during sampling, outdoor temperature and time of air conditioner use. Indoor Cd was affected by factors including smoking during sampling, outdoor Cd and building age. Indoor Pb concentration was associated with factors including outdoor Pb and time of window open per day, building age and RH. In conclusion, indoor PM2.5 mainly comes from outdoor sources, and the contributions of indoor sources also cannot be ignored. Factors associated indoor and outdoor air exchange can influence the concentrations of indoor PM2.5 and its constituents. View Full-Text
Keywords: indoor PM2.5; residential houses; chemical elements; source apportionment; influencing factor analysis indoor PM2.5; residential houses; chemical elements; source apportionment; influencing factor analysis
MDPI and ACS Style

Yang, Y.; Liu, L.; Xu, C.; Li, N.; Liu, Z.; Wang, Q.; Xu, D. Source Apportionment and Influencing Factor Analysis of Residential Indoor PM2.5 in Beijing. Int. J. Environ. Res. Public Health 2018, 15, 686.

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