Eugene Kim

TL;DR: Data characterizing daily integrated particulate matter samples collected at the Jefferson Street monitoring site in Atlanta, GA, were analyzed through the application of a bilinear positive matrix factorization (PMF) model and agreed well with the locations of known local point sources.

TL;DR: In this paper, fine and coarse fractions of airborne particulate matter (PM) were collected in a semi-residential (AECD) area from June 2001 to June 2002 of Dhaka and in an urban area of Rajshahi, a city in northwestern region of Bangladesh from August 2001 to May 2002.

TL;DR: Overall, although these intercomparisons suggest areas where further research is needed, they provide support the contention that PM2.5 mass source apportionment results are consistent across users and methods, and that today's sourceapportionment methods are robust enough for application to PM2-5 health effects assessments.

TL;DR: The findings suggest that modeled source-apportioned data can produce robust estimates of acute health risk, and particularly in Atlanta, there were consistent associations across methods between PM2.5 from mobile sources and biomass burning with both cardiovascular and respiratory ED visits, and between sulfate-rich secondary PM 2.5 with respiratory visits.

TL;DR: The multivariate receptor models Positive Matrix Factorization (PMF) and Unmix were used along with the EPA's Chemical Mass Balance model to deduce the sources of PM2.5 at a centrally located urban area as mentioned in this paper.