Positive matrix factorization used to identify PM2.5 and PM10 sources in southern Brazilian cities

Particulate matter (PM) is one of the main air pollutants found suspended in the atmosphere, and is composed of a mixture of chemical elements of natural and anthropogenic origin. Therefore, the objective of this study was to use the Positive Matrix Factorization (PMF) receptor model to identify the sources of PM 2.5 and PM 10 concentrations, the data for which were collected and chemically…