Next Article in Journal
Microfungi in Drinking Water: The Role of the Frog Litoria caerulea
Next Article in Special Issue
Do Questions Reflecting Indoor Air Pollutant Exposure from a Questionnaire Predict Direct Measure of Exposure in Owner-Occupied Houses?
Previous Article in Journal
Relation between Temperature and Mortality in Thirteen Spanish Cities
Previous Article in Special Issue
Predictors of Indoor Air Concentrations in Smoking and Non-Smoking Residences
Int. J. Environ. Res. Public Health 2010, 7(8), 3211-3224; doi:10.3390/ijerph7083211
Article

Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration

1
,
2
,
3
,
4
,
5
,
5
,
6
,
7
 and
1,*
Received: 30 June 2010 / Revised: 12 August 2010 / Accepted: 13 August 2010 / Published: 16 August 2010
(This article belongs to the Special Issue Indoor Air Pollution and Human Health)
View Full-Text   |   Download PDF [340 KB, uploaded 19 June 2014]

Abstract

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.
Keywords: air exchange; air quality; indoor; infiltration; fine particulate matter; PM2.5; residential; sulphur air exchange; air quality; indoor; infiltration; fine particulate matter; PM2.5; residential; sulphur
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Clark, N.A.; Allen, R.W.; Hystad, P.; Wallace, L.; Dell, S.D.; Foty, R.; Dabek-Zlotorzynska, E.; Evans, G.; Wheeler, A.J. Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration. Int. J. Environ. Res. Public Health 2010, 7, 3211-3224.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert