Literature DB >> 11393992

Using time- and size-resolved particulate data to quantify indoor penetration and deposition behavior.

C M Long1, H H Suh, P J Catalano, P Koutrakis.   

Abstract

Because people spend approximately 85-90% of their time indoors, it is widely recognized that a significant portion of total personal exposures to ambient particles occurs in indoor environments. Although penetration efficiencies and deposition rates regulate indoor exposures to ambient particles, few data exist on the levels or variability of these infiltration parameters, in particular for time- and size-resolved data. To investigate ambient particle infiltration, a comprehensive particle characterization study was conducted in nine nonsmoking homes in the metropolitan Boston area. Continuous indoor and outdoor PM2.5 and size distribution measurements were made in each of the study homes over weeklong periods. Data for nighttime, nonsource periods were used to quantify infiltration factors for PM2.5 as well as for 17 discrete particle size intervals between 0.02 and 10 microns. Infiltration factors for PM2.5 exhibited large intra- and interhome variability, which was attributed to seasonal effects and home dynamics. As expected, minimum infiltration factors were observed for ultrafine and coarse particles. A physical-statistical model was used to estimate size-specific penetration efficiencies and deposition rates for these study homes. Our data show that the penetration efficiency depends on particle size as well as home characteristics. These results provide new insight on the protective role of the building shell in reducing indoor exposures to ambient particles, especially for tighter (e.g., winterized) homes and for particles with diameters greater than 1 micron.

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Year:  2001        PMID: 11393992     DOI: 10.1021/es001477d

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  46 in total

1.  Determinants of Indoor and Personal Exposure to PM(2.5) of Indoor and Outdoor Origin during the RIOPA Study.

Authors:  Qing Yu Meng; Dalia Spector; Steven Colome; Barbara Turpin
Journal:  Atmos Environ (1994)       Date:  2009-11       Impact factor: 4.798

2.  Indoor and outdoor sources of size-resolved mass concentration of particulate matter in a school gym-implications for exposure of exercising children.

Authors:  Martin Braniš; Jiří Safránek; Adéla Hytychová
Journal:  Environ Sci Pollut Res Int       Date:  2010-10-24       Impact factor: 4.223

3.  Seasonal variability in environmental tobacco smoke exposure in public housing developments.

Authors:  R E Arku; G Adamkiewicz; J Vallarino; J D Spengler; D E Levy
Journal:  Indoor Air       Date:  2014-05-14       Impact factor: 5.770

4.  The lasting effect of limonene-induced particle formation on air quality in a genuine indoor environment.

Authors:  Carolin Rösch; Dirk K Wissenbach; Martin von Bergen; Ulrich Franck; Manfred Wendisch; Uwe Schlink
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-14       Impact factor: 4.223

5.  Indoor and outdoor particulate matter in primary school classrooms with fan-assisted natural ventilation in Singapore.

Authors:  Ailu Chen; Elliott T Gall; Victor W C Chang
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-28       Impact factor: 4.223

6.  Indoor particle dynamics in a school office: determination of particle concentrations, deposition rates and penetration factors under naturally ventilated conditions.

Authors:  X C Cong; J J Zhao; Z Jing; Q G Wang; P F Ni
Journal:  Environ Geochem Health       Date:  2018-05-09       Impact factor: 4.609

7.  Indoor and outdoor measurements of particle number concentration in near-highway homes.

Authors:  Christina H Fuller; Doug Brugge; Paige L Williams; Murray A Mittleman; Kevin Lane; John L Durant; John D Spengler
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-01-16       Impact factor: 5.563

8.  Geographic differences in inter-individual variability of human exposure to fine particulate matter.

Authors:  Ye Cao; H Christopher Frey
Journal:  Atmos Environ (1994)       Date:  2011-07-23       Impact factor: 4.798

9.  Predicting residential indoor concentrations of nitrogen dioxide, fine particulate matter, and elemental carbon using questionnaire and geographic information system based data.

Authors:  Lisa K Baxter; Jane E Clougherty; Chritopher J Paciorek; Rosalind J Wright; Jonathan I Levy
Journal:  Atmos Environ (1994)       Date:  2007-10       Impact factor: 4.798

10.  Indoor and outdoor PM mass and number concentrations at schools in the Athens area.

Authors:  E Diapouli; A Chaloulakou; N Mihalopoulos; N Spyrellis
Journal:  Environ Monit Assess       Date:  2007-04-26       Impact factor: 2.513

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