Influence of human activity patterns, particle composition, and residential air exchange rates on modeled distributions of PM2.5 exposure compared with central-site monitoring data
- 16 January 2013
- journal article
- Published by Springer Science and Business Media LLC in Journal of Exposure Science & Environmental Epidemiology
- Vol. 23 (3), 241-247
- https://doi.org/10.1038/jes.2012.118
Abstract
Central-site monitors do not account for factors such as outdoor-to-indoor transport and human activity patterns that influence personal exposures to ambient fine-particulate matter (PM2.5). We describe and compare different ambient PM2.5 exposure estimation approaches that incorporate human activity patterns and time-resolved location-specific particle penetration and persistence indoors. Four approaches were used to estimate exposures to ambient PM2.5 for application to the New Jersey Triggering of Myocardial Infarction Study. These include: Tier 1, central-site PM2.5 mass; Tier 2A, the Stochastic Human Exposure and Dose Simulation (SHEDS) model using literature-based air exchange rates (AERs); Tier 2B, the Lawrence Berkeley National Laboratory (LBNL) Aerosol Penetration and Persistence (APP) and Infiltration models; and Tier 3, the SHEDS model where AERs were estimated using the LBNL Infiltration model. Mean exposure estimates from Tier 2A, 2B, and 3 exposure modeling approaches were lower than Tier 1 central-site PM2.5 mass. Tier 2A estimates differed by season but not across the seven monitoring areas. Tier 2B and 3 geographical patterns appeared to be driven by AERs, while seasonal patterns appeared to be due to variations in PM composition and time activity patterns. These model results demonstrate heterogeneity in exposures that are not captured by the central-site monitor.Keywords
This publication has 26 references indexed in Scilit:
- Geographic differences in inter-individual variability of human exposure to fine particulate matterAtmospheric Environment, 2011
- Feasibility of Assessing Public Health Impacts of Air Pollution Reduction Programs on a Local Scale: New Haven Case StudyEnvironmental Health Perspectives, 2011
- A Bayesian model of time activity data to investigate health effect of air pollution in time series studiesAtmospheric Environment, 2011
- Triggering of Transmural Infarctions, but Not Nontransmural Infarctions, by Ambient Fine ParticlesEnvironmental Health Perspectives, 2010
- An approach for estimating the health effects of changes over time in air pollution: an illustration using cardio-respiratory hospital admissions in LondonOccupational and Environmental Medicine, 2009
- Association between GIS-Based Exposure to Urban Air Pollution during Pregnancy and Birth Weight in the INMA Sabadell CohortEnvironmental Health Perspectives, 2009
- The Effect of Fine and Coarse Particulate Air Pollution on Mortality: A National AnalysisEnvironmental Health Perspectives, 2009
- Fine-Particulate Air Pollution and Life Expectancy in the United StatesNew England Journal of Medicine, 2009
- A study of health effect estimates using competing methods to model personal exposures to ambient PM2.5Journal of Exposure Science & Environmental Epidemiology, 2007
- Estimating effects of ambient PM2.5 exposure on health using PM2.5 component measurements and regression calibrationJournal of Exposure Science & Environmental Epidemiology, 2005