AAAR 35th Annual Conference October 17 - October 21, 2016 Oregon Convention Center Portland, Oregon, USA
Abstract View
A Hybrid Sampling Network to Investigate Intracity Spatiotemporal Variation of Multiple Pollutants
HUGH LI, Peishi Gu, Qing Ye, Naomi Zimmerman, R. Subramanian, Ellis Shipley Robinson, Joshua Apte, Allen Robinson, Albert A. Presto, Carnegie Mellon University
Abstract Number: 501 Working Group: Urban Aerosols
Abstract Long-term exposure to particulate matter (PM) is the major contributor to air pollution related death in 21st century. Intracity exposure patterns can be more complex than intercity ones because of local traffic, land use, and industrial facilities. We use a hybrid sampling network to characterize spatiotemporal variations of multiple pollutants in Pittsburgh, PA. This network makes the first attempt to incorporate a mobile sampling platform, supersite, and distributed sampling together to investigate a wide range of pollutants (CO, NO, NO2, VOCs, O3, PM2.5 mass and composition, and ultrafine particles). In this project, we will use the detailed multi-pollutant measurements to characterize how potentially modifiable factors, including emission sources and urban form, affect spatiotemporal patterns. The key question to answer is how exposure-relevant patterns of air pollution in space and time relate to the spatial distribution of emissions sources within each region.