Atmospheric aerosol source apportionment based on receptor modelling

Another area of DACP research is focused on source apportionment of size-resolved atmospheric aerosol (AA) based on mass concentration data, chemical composition and particle number size distribution. The application of receptor models using AA chemical and physical characteristics data at the measurement site, receptor, combined with meteorological and other indicators, is appropriate to explain temporal and spatial changes in air quality. AA source receptor modelling by Factor Analysis (FA) enables us to estimate the number and composition of the sources, as well as their contribution to the receptor. Proper identification of AA sources is essential for qualified decision-making in air quality management. The research identifies AA anthropogenic sources using online and offline measurement methods and advanced receptor modelling. Receptor modelling results enable assessment of the long-term evolution of the contribution of individual AA sources to the air quality at a given site, and affect the spatial variability of AA sources of a larger region and the temporal variability of AA sources at a selected site.