Receptor model to identify emission sources of particulate matter in cities from the Rio Grande do Sul (RS)

This dataset contains data samples of particulate matter and metallic elements concentrations derived from three secondary studies, carried out in different locations during the years 2013 to 2019, in five cities located in the South of Brazil: Campo Bom (ALVES et al., 2016), Canoas (ALVES et al.,2016; ALVES et al.,2020), São Leopoldo (ALVES et al.,2016; ALVES et al.,2020), Gramado and Canela (PLETSCH (2019). Those studies realized the particulate matter sampling and their metallic quantification through chemical analysis. We performed the identification of polluting sources using the Positive Matrix Factorization (PMF) receptor model (US-EPA, 2021). The spreadsheet presents a tab with the raw data for each study, collection sites and date, particle size, PM concentration (µg/m³), and quantification of metallic elements (ng/m³). Another tab presents the MDL (method detection limits) values for the replacement of data below the MDL value by zero to perform the PMF simulation. Another tab contains the data uncertainties values, determined by PMF modeling. The PMF results can be made available upon request to the responsible researcher.