Revealing the Chemical Profiles of Airborne Particulate Matter Sources in Lake Baikal Area: A Combination of Three Techniques

Positive matrix factorization (PMF) is a widely used multivariate source apportionment technique. However, PMF-derived profiles are never compared to real ones because of the absence data on chemical composition emissions. The aim this study was verify validity using diagnostic ratios (DR) method and end-member mixing analysis (EMMA). polycyclic aromatic hydrocarbons (PAHs) in particulate matter (PM) sampled air above Lake Baikal summer inorganic elements (IE) PM accumulated snowpack were as objects. Five PAH sources five IE identified PMF. Eight PAHs six IEs selected from recognized eligible for calculating DRs (species 1/(species 1 + species 2)) suitable testing PMF results EMMA. EMMA based determining whether most samples diagrams that use DR values coordinates points could be bound by geometrical shape whose vertices pollution sources. It found four obtained also Thus, proved.