Emission reduction scheme based on source apportionment analysis
XU Yun-fan1,2, WANG Da-wei1,3, XIANG Wei-ling1,3, WANG Zi-fa1,3
1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. CAS Center for Excellence in Regional Atmospheric Environment, Xiamen 361021, China
Abstract：In order to quantify the relationship between variability of mass concentration of ambient PM2.5 and the reduction in emission sources scenarios, a WRF-NAQPMS/OSAM model was used in this study to simulate the variations in mass concentration of PM2.5 in Beijing-Tianjin-Hebei and surrounding "2+26" cities in December 2017, and various iterative emission reduction experiments were carried out for cities based on the PM2.5 source apportionment. The results showed that reducing local emission sources in each city had the most significant effect on overall decrease in PM2.5 concentrations. Due to the influence of chemical formation, there was a highly non-linear relationship between the emission sources and the PM2.5 concentrations, which resulted in large uncertainties for the linear-reduction scheme. The changes in PM2.5 concentrations caused by the emission regulation in each city were mainly composed of the contributions of primary emissions and the secondary chemical generation. A significant linear relationship was observed between the PM2.5 concentration contributed by chemical formation and the sector source apportionment. With the reduction of emission sources, most of PM2.5 compositions decreased during the clean periods. However, mass concentration of nitrate, secondary organic compounds, ammonium increased during the pollution periods, which indicated that selection of emission reduction species was vitally important in the iterative emission reduction experiments.
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