This study collected and compiled statistical data on atmospheric pollution in Jilin City, China during 2013-2014, using models and methods to calculate the source proportion of PM2.5 emitted by various sources. The statistical activity levels and emission factors of various pollution sources were found to be key parameters for obtaining the total amount of PM2.5 in the exhaust gas emitted from all types of pollution sources using an emissions model. In this study, relevant data were collected by the top-down method, and pollutant emission was calculated by the emission factor method to establish the PM2.5 pollution emission inventory of Jilin City. The source apportionment was calculated using the Chemical Mass Balance (CMB) model. Industrial process source and fixed combustion source are the largest sources of PM2.5 emission from all sources, respectively. Among the two calculation results, the results of pollution emission inventory are more accurate. The PM2.5 emission inventory in Jilin was established and countermeasures were proposed focused on the coordinated control of air pollution and the prevention and control of industrial dust pollution sources, as well as environmental management and impact assessment.
Keywords: Emission inventory; Fixed combustion source; Industrial process source; PM2.5; Source apportionment; Uncertainty analysis.