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Open Access Green as soon as Postprint is submitted to ZB.
Air pollution Exposure Model for Individuals (EMI) in health studies: Evaluation for ambient PM2.5 in Central North Carolina.
Environ. Sci. Technol. 49, 14184-14194 (2015)
Air pollution health studies of fine particulate matter (diameter ≤2.5 μm, PM2.5) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and time indoors can induce exposure errors. We developed and evaluated an exposure model for individuals (EMI), which predicts five tiers of individual-level exposure metrics for ambient PM2.5 using outdoor concentrations, questionnaires, weather, and time-location information. We linked a mechanistic air exchange rate (AER) model to a mass-balance PM2.5 infiltration model to predict residential AER (Tier 1), infiltration factors (Tier 2), indoor concentrations (Tier 3), personal exposure factors (Tier 4), and personal exposures (Tier 5) for ambient PM2.5. Using cross-validation, individual predictions were compared to 591 daily measurements from 31 homes (Tiers 1-3) and participants (Tiers 4-5) in central North Carolina. Median absolute differences were 39% (0.17 h(-1)) for Tier 1, 18% (0.10) for Tier 2, 20% (2.0 μg/m(3)) for Tier 3, 18% (0.10) for Tier 4, and 20% (1.8 μg/m(3)) for Tier 5. The capability of EMI could help reduce the uncertainty of ambient PM2.5 exposure metrics used in health studies.
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Publication type
Article: Journal article
Document type
Scientific Article
Language
english
Publication Year
2015
HGF-reported in Year
2015
ISSN (print) / ISBN
0013-936X
e-ISSN
1520-5851
Quellenangaben
Volume: 49,
Issue: 24,
Pages: 14184-14194
Publisher
ACS
Publishing Place
Washington, DC
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology (EPI)
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-001
PubMed ID
26561729
WOS ID
WOS:000366872300035
Scopus ID
84950115881
Erfassungsdatum
2015-12-08