Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation
- PMID: 22579357
- PMCID: PMC3543158
- DOI: 10.1016/j.envres.2012.04.008
Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation
Abstract
Air quality modeling could potentially improve exposure estimates for use in epidemiological studies. We investigated this application of air quality modeling by estimating location-specific (point) and spatially-aggregated (county level) exposure concentrations of particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM(2.5)) and ozone (O(3)) for the eastern U.S. in 2002 using the Community Multi-scale Air Quality (CMAQ) modeling system and a traditional approach using ambient monitors. The monitoring approach produced estimates for 370 and 454 counties for PM(2.5) and O(3), respectively. Modeled estimates included 1861 counties, covering 50% more population. The population uncovered by monitors differed from those near monitors (e.g., urbanicity, race, education, age, unemployment, income, modeled pollutant levels). CMAQ overestimated O(3) (annual normalized mean bias=4.30%), while modeled PM(2.5) had an annual normalized mean bias of -2.09%, although bias varied seasonally, from 32% in November to -27% in July. Epidemiology may benefit from air quality modeling, with improved spatial and temporal resolution and the ability to study populations far from monitors that may differ from those near monitors. However, model performance varied by measure of performance, season, and location. Thus, the appropriateness of using such modeled exposures in health studies depends on the pollutant and metric of concern, acceptable level of uncertainty, population of interest, study design, and other factors.
Copyright © 2012 Elsevier Inc. All rights reserved.
Conflict of interest statement
The authors declare no conflicts of interest.
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References
-
- Appel KW, et al. Evaluations of the community multiscale air quality (CMAQ) model version 4.5: Sensitivites impacting model performance, Part I — Ozone. Atmos. Environ. 2007;41:9603–9615.
-
- Bailey EM, et al. A comparison of the performance of four air quality models for the Southern Oxidants study episode in July 1999. J. Geophys. Res. 2007:112.
-
- Baker K, Scheff P. Photochemical model performance for PM2.5 sulfate, nitrate, ammonium, and precursor species SO2 HNO3 and NH3 at background monitor locations in the central and eastern United States. Atmos. Environ. 2007;41:6185–6195.
-
- Bell ML. The use of ambient air quality modeling to estimate individual and population exposure for human health research: A case study of ozone in the northern Georgia Region of the United States. Environ. Int. 2006;32:586–593. - PubMed
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