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USE OF PASSIVE SAMPLERS IN THE DEARS
Citation:
WILLIAMS, R. W., A. F. VETTE, D. A. WHITAKER, C. W. CROGHAN, P. A. JONES, H. DAUGHTREY, K. OLIVER, H. JACUMIN, D. WILLIAMS, C. E. RODES, J. THORNBURG, J. HERRINGTON, L. ZHANG, AND J. ZHANG. USE OF PASSIVE SAMPLERS IN THE DEARS. Presented at Symposium on Air Quality measurement Methods and Technology (AWMA), Durham, NC, May 09 - 11, 2006.
Impact/Purpose:
Six objectives have been defined for this study.
(1) To determine the associations between concentrations measured at central site monitors and outdoor residential, indoor residential and personal exposures for selected air toxics, PM constituents, and PM from specific sources.
(2) To describe the physical and chemical factors that affect the relationship between central site monitors and outdoor residential and indoor residential concentrations, including those that affect ambient source impacts.
(3) To identify the human activity factors that influence personal exposures to selected PM constituents and air toxics.
(4) To improve and evaluate models used to characterize and estimate residential concentrations of and human exposures to selected air toxics, PM constituents, and PM from specific sources.
(5) To investigate and apply source apportionment models to evaluate the relationships for PM from specific sources and to determine the contribution of specific ambient sources to residential concentrations and personal exposures to PM constituents and air toxics.
(6) To determine the associations between ambient concentrations of criteria gases (O3, NO2, and SO2) and personal exposures for these gases as well as personal exposures to air toxics, PM constituents, and PM from specific sources.
Description:
The Detroit Exposure and Aerosol Research Study (DEARS) employs a number of passive diffusion-based samplers for the collection of select gaseous air pollutants. These pollutants include criteria gases such as ozone, carbonyls such as acrolein, and volatile organics such as 1-3, butadiene. The use, range of applicability, and preliminary data quality findings from the first two seasons of the DEARS will be reported in this presentation.