AAAR 34th Annual Conference
October 12 - October 16, 2015
Hyatt Regency
Minneapolis, Minnesota, USA
Abstract View
Characterization of Traffic Emissions Exposure Metrics in the Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study: Spatial and Temporal Dynamics in an Urban Area
JENNIFER L. MOUTINHO, Donghai Liang, Rachel Golan, Chandresh Ladva, Karoline Johnson, Joseph Abrams, Roby Greenwald, Stefanie Ebelt Sarnat, Vishal Verma, Rodney J. Weber, Dean Jones, Jeremy Sarnat, Armistead G. Russell, Georgia Institute of Technology
Abstract Number: 178 Working Group: Urban Aerosols
Abstract A 13-week intensive sampling campaign was conducted at 6 ambient and 2 indoor monitoring sites surrounding Atlanta’s busiest highway with the study area focusing on the Georgia Institute of Technology campus. 54 college students living in dorms near (20 m) or far (1.4 km) from the highway were recruited for personal exposure monitor sampling and biomonitoring which included saliva and blood sampling. Traffic-related contaminant indicators selected to capture the heterogeneity of primary traffic emissions were measured at each site, including particle mass and number, elemental and organic carbon, nitrogen oxides, and carbon monoxide. Measurements collected at the sampling sites were further compared to AERMOD modeling results to determine pollutant gradients across the sampling area. In addition, the suitability of two multipollutant traffic exposure indicators were quantified and evaluated for use in small cohort epidemiological studies. Measurements of nitrogen oxides, carbon monoxide, and particulate matter were collected using low cost sensors to also assess their applicability in epidemiological studies. Results indicate a substantial impact from the highway on surrounding concentrations of primary traffic pollutants leading to prominent spatial and temporal variability at each sampling location, though the gradients were highly species dependent. The results are being used to identify which exposure metrics are most predictive of biologically-relevant primary traffic exposures for panel-based epidemiologic studies.