Abstract
A coupled MM5–CAMx air quality modeling system was used to simulate SO2 concentrations in Beijing, China during the heating season. Particulate matter source apportionment technology was employed to investigate the apportionment of SO2 sources in the study area. Comprehensive analysis of the industry and region revealed that the most important SO2 contributors were publicly and privately supplied heating emission sources and other industry emission sources from the urban areas of Beijing, with 66.1 % of the emission source contribution ratio. Four SO2 emission reduction scenarios based on our SO2 source apportionment research were established to assess the potential for improving the SO2 air quality in Beijing during the heating season. By weighing the desired SO2 improvement, the availability of technology, and economic considerations, a suitable SO2 reduction plan was able to be recommended for Beijing city.
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