| Abstract [eng] |
In this work the receptor modelling of aerosol particle number concentration and black carbon sources in urban and background environments was applied. The effects of air mass transport of atmospheric pollutants from regional biomass burning and vegetation fires in the South-Eastern Baltic Sea region were estimated. It was indicated that the long-range transport of air masses had increased the particle number concentration background level values in Vilnius city (1.00•10^4 cm^−3 for winter and 5.0•10^3 cm^−3 for spring and autumn) up to 55% and 130%, respectively. The estimated background black carbon concentration in the South-Eastern Baltic Sea region was 0.71 µg•m^−3. The increase of black carbon concentration was affected in winter by biomass burning from S up to 350% and in spring – from SW up to 80%. The combined aerosol particle sizing technique and carbon stable isotope ratio (δ13^C_TC) analysis proved to be useful for fossil fuel combustion and non-fossil fuel source estimation. From the Bayesian isotope mixing model the fossil fuel source main contribution was indentified in the fine particle mode (D_A = 0,23 ± 0,02 µm) with δ13^C_TC = −28.0‰ and the non-fossil source main contribution was in the coarse particle mode (D_A = 7,05 ± 3,56 µm) with δ13^C_TC = −25.3‰. |
