Spatial patterning in PM2.5 constituents under an inversion-focused sampling design across an urban area of complex terrain.

ABSTRACT: Health effects of fine particulate matter (PM2.5) vary by chemical composition, and composition can help to identify key PM2.5 sources across urban areas. Further, this intra-urban spatial variation in concentrations and composition may vary with meteorological conditions (e.g., mixing height). Accordingly, we hypothesized that spatial sampling during atmospheric inversions would help to better identify localized source effects, and reveal more distinct spatial patterns in key constituents. We designed a 2-year monitoring campaign to capture fine-scale intra-urban variability in PM2.5 composition across Pittsburgh, PA, and compared both spatial patterns and source effects during "frequent inversion" hours vs 24-h weeklong averages. Using spatially distributed programmable monitors, and a g

SUBMITTER: Tunno BJ 

PROVIDER: S-EPMC4913169 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature