“…The use of RMs has been extensively applied to the identification and apportionment of PM sources, using both, chemical composition (Agarwal et al, 2017;Alleman et al, 2010;Contini et al, 2012;Gregoris et al, 2016;Manousakas et al, 2017;Ramírez et A C C E P T E D M A N U S C R I P T al., Viana et al, 2007;Zhang et al, 2018) and number size distribution (Friend et al, 2013;Leoni et al, 2018) as input datasets. Model inter-comparison was also used in a significant number of studies (Arruti et al, 2011;Belis et al, 2015;Bove et al, 2018;Cesari et al, 2016;Deng et al, 2018;Ogundele et al, 2016;Viana et al, 2008b), reporting strengths and limitations of the different approaches. Most frequent RMs are Chemical Mass Balance (CMB), Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) (Belis et al, 2013;Viana et al, 2008a;Watson et al, 2012).…”