A source apportionment (SA) study was conducted on two PM2.5 data sets, carbon fractions and eight temperature-resolved collected during Cincinnati Childhood Allergy Air Pollution Study (CCAAPS). This aimed to evaluate clustering algorithms: k-means (kMC) spectral (SC) as potential receptor models for apportionment. The application of kMC produced unsatisfactory results, but the results obtaine...

Receptor-oriented source apportionment models are often used to identify sources of ambient air pollutants and to estimate source contributions to air pollutant concentrations. In this study, a PCA/APCS model was applied to the data on non-methane hydrocarbons (NMHCs) measured from January to December 2001 at two sampling sites: Tsuen Wan (TW) and Central & Western (CW) Toxic Air Pollutants Mon...