Details

Autor(en) / Beteiligte

• QING YU MENG
• SPECTOR, Dalia
• COLOME, Steven
• TURPIN, Barbara

Titel

Determinants of indoor and personal exposure to PM2.5 of indoor and outdoor origin during the RIOPA study

Ist Teil von

• Atmospheric environment (1994), 2009-11, Vol.43 (36), p.5750-5758

Ort / Verlag

Kidlington: Elsevier

Erscheinungsjahr

2009

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Effects of physical/environmental factors on fine particle (PM 2.5 ) exposure, outdoor-to-indoor transport and air exchange rate ( AER ) were examined. The fraction of ambient PM 2.5 found indoors ( F INF ) and the fraction to which people are exposed (α) modify personal exposure to ambient PM 2.5 . Because F INF , α, and AER are infrequently measured, some have used air conditioning (AC) as a modifier of ambient PM 2.5 exposure. We found no single variable that was a good predictor of AER . About 50% and 40% of the variation in F INF and α, respectively, was explained by AER and other activity variables. AER alone explained 36% and 24% of the variations in F INF and α, respectively. Each other predictor, including Central AC Operation, accounted for less than 4% of the variation. This highlights the importance of AER measurements to predict F INF and α. Evidence presented suggests that outdoor temperature and home ventilation features affect particle losses as well as AER , and the effects differ. Total personal exposures to PM 2.5 mass/species were reconstructed using personal activity and microenvironmental methods, and compared to direct personal measurement. Outdoor concentration was the dominant predictor of (partial R 2 = 30–70%) and the largest contributor to (20–90%) indoor and personal exposures for PM 2.5 mass and most species. Several activities had a dramatic impact on personal PM 2.5 mass/species exposures for the few study participants exposed to or engaged in them, including smoking and woodworking. Incorporating personal activities (in addition to outdoor PM 2.5 ) improved the predictive power of the personal activity model for PM 2.5 mass/species; more detailed information about personal activities and indoor sources is needed for further improvement (especially for Ca, K, OC). Adequate accounting for particle penetration and persistence indoors and for exposure to non-ambient sources could potentially increase the power of epidemiological analyses linking health effects to particulate exposures.