Intra-urban spatial variability and uncertainty assessment of PM_2.5 sources based on carbonaceous species.

ABSTRACT: To identify the sources of PM_2.5 - bound carbonaceous species and examine the spatial variability of source contributions in the Denver metropolitan area, positive matrix factorization (PMF) was applied to one year of every sixth day ambient PM_2.5 compositional data, including elemental carbon (EC), organic carbon (OC), and 32 organic molecular markers, from four sites (two residential and two near-traffic). Statistics (median, inner quantiles and 5^th - 95^th percentiles range) of factor contributions, expressed as reconstructed carbonaceous mass (EC + OC), were estimated from PMF solutions of replicate datasets generated by using a stationary block bootstrap technique. A seven-factor solution was resolved for a set of data pooled across the four

SUBMITTER: Xie M 

PROVIDER: S-EPMC4159203 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature