Positive matrix factorization of a 32-month series of daily PM_2.5 speciation data with incorporation of temperature stratification.

ABSTRACT: This study presents source apportionment results for PM_2.5 from applying positive matrix factorization (PMF) to a 32-month series of daily PM_2.5 compositional data from Denver, CO, including concentrations of sulfate, nitrate, bulk elemental carbon (EC) and organic carbon (OC), and 51 organic molecular markers (OMMs). An optimum 8-factor solution was determined primarily based on the interpretability of the PMF results and rate of matching factors from bootstrapped PMF solutions with those from the base case solution. These eight factors were identified as inorganic ion, n-alkane, EC/sterane, light n-alkane/polycyclic aromatic hydrocarbon (PAH), medium alkane/alkanoic acid, PAH, winter/methoxyphenol and summer/odd n-alkane. The inorganic ion facto

SUBMITTER: Xie M 

PROVIDER: S-EPMC4159165 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature