Research On Emission Inventory Of Fine Particulate Matter(PM_2.5) In The Atmosphere Of Changchun

The emissions of PM2.5 in Changchun were 112996.38 tons in 2013. The emissions of each pollution source from large to small were arranged respectively combustion sources, biomass burning sources, industrial production sources, dust sources and mobile sources. The contribution of each pollution source to the emissions of PM2.5 in Changchun were 37%, 36%, 17%, 6% and 4%.The combination method of CMB model and the regional transmission results of PM2.5 in the atmosphere in Changchun was used to analyze the local source apportionment, the results showed that the local source contribution to PM2.5 in Changchun was as high as 75%. Combustion sources were primary in the local sources of PM2.5, the contribution rate was 28.5%. The industrial production source was the second largest source accounting for 20.44%. The third place of PM2.5 contribution was dust sources, accounted for 19.47%. The contribution of motor vehicle sources was 19.14%, in the fourth place. Other source contribution rate was 8.69%, and 3.76% of contribution was from biomass burning sources.By comparing the above two methods, the results of the biomass burning sources existed the biggest difference, one reason was that the biomass burning in the source apportionment only involved the open burning part, but the emission inventory also included household biomass stoves. The second reason was the receptor sampling sites were selected in the built-up area in Changchun, however the biomass burning activities were focused on the periphery of the built-up area. Therefore the contribution of biomass burning sources calculated by CMB model was relatively smaller. For the last reason was that the open biomass burning activities were concentrated in the autumn, and the results of the whole year source apportionment was the average contribution of the seasons, so the contribution rate was relatively smaller in the source apportionment. The larger difference in the results of biomass burning sources lead to the contributions of mobile sources and dust sources in the emission inventory were smaller than that in source apportionment.Monte Carlo method was used in this paper to analyze the uncertainty in emissions inventory. The results showed that the range of uncertainty was smaller, the results in emissions inventory were credible. Among them, the uncertainty of biomass burning was biggest from-21.0% to 21.0%. The road mobile source was minimal, the range of uncertainty was-8.1%~8.1%.