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Review of relationship between indoor and outdoor particles: I/O ratio, infiltration factor and penetration factor

Journal

ATMOSPHERIC ENVIRONMENT
Volume 45, Issue 2, Pages 275-288

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2010.09.048

Keywords

Particle; Penetration; Infiltration; I/O ratio; Indoor environment; Outdoor environment

Funding

  1. National Natural Science Foundation of China [51078216]
  2. Program for New Century Excellent Talents in University, China [NCET-07-0502]

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Epidemiologic evidence indicates a relationship between outdoor particle exposure and adverse health effects, while most people spend 85-90% of their time indoors, thus understanding the relationship between indoor and outdoor particles is quite important. This paper aims to provide an up-to-date revision for both experiment and modeling on relationship between indoor and outdoor particles. The use of three different parameters: indoor/outdoor (I/O) ratio, infiltration factor and penetration factor, to assess the relationship between indoor and outdoor particles were reviewed. The experimental data of the three parameters measured both in real houses and laboratories were summarized and analyzed. The I/O ratios vary considerably due to the difference in size-dependent indoor particle emission rates, the geometry of the cracks in building envelopes, and the air exchange rates. Thus, it is difficult to draw uniform conclusions as detailed information, which make I/O ratio hardly helpful for understanding the indoor/outdoor relationship. Infiltration factor represents the equilibrium fraction of ambient particles that penetrates indoors and remains suspended, which avoids the mixture with indoor particle sources. Penetration factor is the most relevant parameter for the particle penetration mechanism through cracks and leaks in the building envelope. We investigate the methods used in previously published studies to both measure and model the infiltration and penetration factors. We also discuss the application of the penetration factor models and provide recommendations for improvement. (C) 2010 Elsevier Ltd. All rights reserved.

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