Literature DB >> 24313879

Quantifying the contribution of ambient and indoor-generated fine particles to indoor air in residential environments.

M MacNeill1, J Kearney, L Wallace, M Gibson, M E Héroux, J Kuchta, J R Guernsey, A J Wheeler.   

Abstract

UNLABELLED: Indoor fine particles (FPs) are a combination of ambient particles that have infiltrated indoors, and particles that have been generated indoors from activities such as cooking. The objective of this paper was to estimate the infiltration factor (Finf ) and the ambient/non-ambient components of indoor FPs. To do this, continuous measurements were collected indoors and outdoors for seven consecutive days in 50 non-smoking homes in Halifax, Nova Scotia in both summer and winter using DustTrak (TSI Inc) photometers. Additionally, indoor and outdoor gravimetric measurements were made for each 24-h period in each home, using Harvard impactors (HI). A computerized algorithm was developed to remove (censor) peaks due to indoor sources. The censored indoor/outdoor ratio was then used to estimate daily Finfs and to determine the ambient and non-ambient components of total indoor concentrations. Finf estimates in Halifax (daily summer median = 0.80; daily winter median = 0.55) were higher than have been reported in other parts of Canada. In both winter and summer, the majority of FP was of ambient origin (daily winter median = 59%; daily summer median = 84%). Predictors of the non-ambient component included various cooking variables, combustion sources, relative humidity, and factors influencing ventilation. This work highlights the fact that regional factors can influence the contribution of ambient particles to indoor residential concentrations. PRACTICAL IMPLICATIONS: Ambient and non-ambient particles have different risk management approaches, composition, and likely toxicity. Therefore, a better understanding of their contribution to the indoor environment is important to manage the health risks associated with fine particles (FPs) effectively. As well, a better understanding of the factors Finf can help improve exposure assessment and contribute to reduced exposure misclassification in epidemiologic studies.
© 2013 Her Majesty the Queen in Right of Canada Indoor Air © 2013 John Wiley & Sons Ltd Reproduced with the permission of the Minister of Health Canada.

Entities:  

Keywords:  Ambient component; Fine particulate matter; Indoor Air Quality; Infiltration factor (Finf); Non-ambient component

Mesh:

Substances:

Year:  2014        PMID: 24313879     DOI: 10.1111/ina.12084

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  12 in total

1.  Quantification of the impact of cooking processes on indoor concentrations of volatile organic species and primary and secondary organic aerosols.

Authors:  Felix Klein; Urs Baltensperger; André S H Prévôt; Imad El Haddad
Journal:  Indoor Air       Date:  2019-09-17       Impact factor: 5.770

Review 2.  Wood Stove Pollution in the Developed World: A Case to Raise Awareness Among Pediatricians.

Authors:  Lisa B Rokoff; Petros Koutrakis; Eric Garshick; Margaret R Karagas; Emily Oken; Diane R Gold; Abby F Fleisch
Journal:  Curr Probl Pediatr Adolesc Health Care       Date:  2017-06-02

3.  Real-time indoor PM2.5 monitoring in an urban cohort: Implications for exposure disparities and source control.

Authors:  MyDzung T Chu; Sara E Gillooly; Jonathan I Levy; Jose Vallarino; Lacy N Reyna; Jose Guillermo Cedeño Laurent; Brent A Coull; Gary Adamkiewicz
Journal:  Environ Res       Date:  2020-12-02       Impact factor: 6.498

4.  Household determinants of biocontaminant exposures in Canadian homes.

Authors:  Liu Sun; J David Miller; Keith Van Ryswyk; Amanda J Wheeler; Marie-Eve Héroux; Mark S Goldberg; Gary Mallach
Journal:  Indoor Air       Date:  2021-09-25       Impact factor: 6.554

5.  Evaluating the Long-Term Health and Economic Impacts of Central Residential Air Filtration for Reducing Premature Mortality Associated with Indoor Fine Particulate Matter (PM2.5) of Outdoor Origin.

Authors:  Dan Zhao; Parham Azimi; Brent Stephens
Journal:  Int J Environ Res Public Health       Date:  2015-07-21       Impact factor: 3.390

6.  Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions.

Authors:  Neil E Klepeis; John Bellettiere; Suzanne C Hughes; Benjamin Nguyen; Vincent Berardi; Sandy Liles; Saori Obayashi; C Richard Hofstetter; Elaine Blumberg; Melbourne F Hovell
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

7.  Spatiotemporal Variations of Indoor PM2.5 Concentrations in Nanjing, China.

Authors:  Zhijuan Shao; Xiangjun Yin; Jun Bi; Zongwei Ma; Jinnan Wang
Journal:  Int J Environ Res Public Health       Date:  2019-01-07       Impact factor: 3.390

Review 8.  Prenatal air pollution exposure and neurodevelopment: A review and blueprint for a harmonized approach within ECHO.

Authors:  Heather E Volk; Frederica Perera; Joseph M Braun; Samantha L Kingsley; Kimberly Gray; Jessie Buckley; Jane E Clougherty; Lisa A Croen; Brenda Eskenazi; Megan Herting; Allan C Just; Itai Kloog; Amy Margolis; Leslie A McClure; Rachel Miller; Sarah Levine; Rosalind Wright
Journal:  Environ Res       Date:  2020-10-22       Impact factor: 8.431

9.  Urban-rural differences in daily time-activity patterns, occupational activity and housing characteristics.

Authors:  Carlyn J Matz; David M Stieb; Orly Brion
Journal:  Environ Health       Date:  2015-11-13       Impact factor: 5.984

10.  Estimation of bias with the single-zone assumption in measurement of residential air exchange using the perfluorocarbon tracer gas method.

Authors:  K Van Ryswyk; L Wallace; D Fugler; M MacNeill; M È Héroux; M D Gibson; J R Guernsey; W Kindzierski; A J Wheeler
Journal:  Indoor Air       Date:  2014-12-31       Impact factor: 5.770

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