2004
DOI: 10.1016/j.buildenv.2003.09.015
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Size-dependent particulate matter indoor/outdoor relationships for a wind-induced naturally ventilated airspace

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Cited by 22 publications
(16 citation statements)
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“…In favor of differential infiltration behavior of dust particles with different origin are the results presented by Meng et al [2007], who showed that infiltration factors for PM2.5 originating from primary combustion, secondary formation and mechanical formation differ significantly, being much higher for the first two groups of particles. The obtained range of variations of the ratio χ indoor / χ outdoor may be compared to the widely studied PM 10 mass indoor/outdoor (I/O) ratio [ Thatcher and Layton , 1995; Jones et al , 2000; Liao et al , 2003, 2004]. This similarity suggests that magnetic fraction in indoor and outdoor dusts obeys the same behavior as the major mineral dust components, contributing to the amount of PM.…”
Section: Discussionmentioning
confidence: 84%
“…In favor of differential infiltration behavior of dust particles with different origin are the results presented by Meng et al [2007], who showed that infiltration factors for PM2.5 originating from primary combustion, secondary formation and mechanical formation differ significantly, being much higher for the first two groups of particles. The obtained range of variations of the ratio χ indoor / χ outdoor may be compared to the widely studied PM 10 mass indoor/outdoor (I/O) ratio [ Thatcher and Layton , 1995; Jones et al , 2000; Liao et al , 2003, 2004]. This similarity suggests that magnetic fraction in indoor and outdoor dusts obeys the same behavior as the major mineral dust components, contributing to the amount of PM.…”
Section: Discussionmentioning
confidence: 84%
“…Several modeling studies of indoor/outdoor relationships of fine particles have been presented in the literature, addressing issues such as contaminant penetration of indoor environment and corresponding particle size dependence. ( 52–54 ) The Stochastic Human Exposure and Dose Simulation (SHEDS) application ( 55 ) provides distributions of air exchange rates for different types of residential microenvironments, while other models and databases provide distributions for air exchange rates for general nonresidential microenvironments ( 56 ) and vehicle microenvironments. ( 57 )…”
Section: Approachmentioning
confidence: 99%
“…14,15 Further investigation results have indicated that indoor PM 2.5 concentrations could be dominated by outdoor sources in the absence of significant indoor particle sources from smoking and cooking, etc. 7,[16][17][18][19][20][21][22] Therefore, understanding of the relationships between indoor and outdoor PM 2.5 concentrations is important to control the indoor PM 2.5 pollution.…”
Section: Introductionmentioning
confidence: 99%