Science Inventory

EXPOSURE RELATIONSHIP OF PERSONAL EXPOSURE OF HIGH-RISK SUBPOPULATIONS TO AMBIENT CONCENTRATIONS OF FINE PARTICLES.

Impact/Purpose:

The primary study objectives are:

1.To quantify personal exposures and indoor air concentrations for PM/gases for potentially sensitive individuals (cross sectional, inter- and intrapersonal).

2.To describe (magnitude and variability) the relationships between personal exposure, and indoor, outdoor and ambient air concentrations for PM/gases for different sensitive cohorts. These cohorts represent subjects of opportunity and relationships established will not be used to extrapolate to the general population.

3.To examine the inter- and intrapersonal variability in the relationship between personal exposures, and indoor, outdoor, and ambient air concentrations for PM/gases for sensitive individuals.

4.To identify and model the factors that contribute to the inter- and intrapersonal variability in the relationships between personal exposures and indoor, outdoor, and ambient air concentrations for PM/gases.

5.To determine the contribution of ambient concentrations to indoor air/personal exposures for PM/gases.

6.To examine the effects of air shed (location, season), population demographics, and residential setting (apartment vs stand-alone homes) on the relationship between personal exposure and indoor, outdoor, and ambient air concentrations for PM/gases.

Description:

An association has been demonstrated between ambient particulate matter (PM 2.5 and PM 10) concentrations and human morbidity/mortality. However, little is known regarding the most important sources of PM exposure, interpersonal and intrapersonal variability in exposure, and the relationship between personal exposure and ambient exposure estimates based on fixed site monitoring. The NERL in association with a series of cooperating universities are currently analyzing data from several recent longitudinal (10-28 day) panel studies to address these uncertainties and to evaluate the important determinants of PM exposure for different subpopulations, area of the country, air sheds, housing structures, and life styles. Exposure assessments are being performed on panel data involving among others, the elderly, individuals with cardiovascular disease, asthmatics, and healthy individuals living in Atlanta, Boston, Anaheim, Los Angeles, Seattle, and New York City. PM measurements data from personal exposures, ambient, outdoor residential, and indoor residential locations will be analyzed. Copollutants such as CO, ozone, NO2, metals, and elemental-organic carbon will also be incorporated into the analysis. Information on time/activity patterns and potential sources of PM exposure from all participating subjects in conjunction with real-time PM monitoring is being used to establish the influence of various sources (ambient, indoor, personal) on total personal PM exposures. Results to date indicate that personal PM mass concentration exposures for individual panelists can be highly dependent upon the contribution of non-ambient sources (such as the presence of cooking aerosols within a home). The contribution of PM of ambient origin to personal exposures in many of the studies would not appear to be dependent upon susceptibility (health status) while seasonality and geographical settings for residents of some cities (Seattle and Los Angeles) may be influencing factors. Results indicate that a substantial portion of the interpersonal differences in personal-ambient associations appears to be due to the varying impact of outdoor particles on indoor environments. Building type and ventilation strongly influence penetration of ambient PM. Since people spend >90% of their time indoors, understanding particle penetration into buildings will be critical in determining exposure to ambient PM. Until recently, particle penetration efficiencies were thought to be constant and often assumed to be 100%. Results from these studies show that penetration efficiencies can vary substantially by residences and by season and that geographical locality may be important factors. Preliminary findings concerning seasonality from west coast studies performed here stand in contrast to similar studies performed under TD 5676 in a number of east coast cities (Baltimore, Research Triangle Park) concerning this issue. For 30 residences in Seattle, estimated mean penetration efficiency was 56 +/- 8%. In Fresno for 60 apartments, the estimated mean was 25 +/- 17% in the winter and 49 +/- 38% in the spring showing the substantial impact that differences in building ventilation can have over different seasons.

Record Details:

Record Type:PROJECT
Start Date:10/01/1999
Completion Date:09/01/2003
Record ID: 56150