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Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration


Clark, NA and Allen, RW and Hystad, P and Wallace, L and Dell, SD and Foty, R and Dabek-Zlotorzynska, E and Evans, G and Wheeler, AJ, Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration, International Journal of Environmental Research and Public Health, 7 pp. 3211-3224. ISSN 1660-4601 (2010) [Refereed Article]


Copyright Statement

Copyright 2010 The Authors Licenced under the terms and conditions of the Creative Commons Attribution license

DOI: doi:10.3390/ijerph7083211


Although individuals spend the majority of their time indoors, most epidemiological studies estimate personal air pollution exposures based on outdoor levels. This almost certainly results in exposure misclassification as pollutant infiltration varies between homes. However, it is often not possible to collect detailed measures of infiltration for individual homes in large-scale epidemiological studies and thus there is currently a need to develop models that can be used to predict these values. To address this need, we examined infiltration of fine particulate matter (PM2.5) and identified determinants of infiltration for 46 residential homes in Toronto, Canada. Infiltration was estimated using the indoor/outdoor sulphur ratio and information on hypothesized predictors of infiltration were collected using questionnaires and publicly available databases. Multiple linear regression was used to develop the models. Mean infiltration was 0.52 0.21 with no significant difference across heating and non-heating seasons. Predictors of infiltration were air exchange, presence of central air conditioning, and forced air heating. These variables accounted for 38% of the variability in infiltration. Without air exchange, the model accounted for 26% of the variability. Effective modelling of infiltration in individual homes remains difficult, although key variables such as use of central air conditioning show potential as an easily attainable indicator of infiltration.

Item Details

Item Type:Refereed Article
Keywords:air exchange, air quality, indoor, infiltration, fine particulate matter, PM2.5, residential, sulphur
Research Division:Commerce, Management, Tourism and Services
Research Group:Human resources and industrial relations
Research Field:Occupational and workplace health and safety
Objective Division:Health
Objective Group:Public health (excl. specific population health)
Objective Field:Public health (excl. specific population health) not elsewhere classified
UTAS Author:Wheeler, AJ (Dr Amanda Wheeler)
ID Code:101109
Year Published:2010
Web of Science® Times Cited:38
Deposited By:Menzies Institute for Medical Research
Deposited On:2015-06-10
Last Modified:2015-09-17
Downloads:208 View Download Statistics

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