- 期刊
- OpenAccess
Simulation-based Design of Regional Emission Control Experiments with Simultaneous Pollution of O_3 and PM_(2.5) in Jinan, China
摘要
High O_3 and PM_(2.5) concentrations were frequently observed in Jinan during June 2015 and simultaneously occurred on 8 days, with a maximum 8-hour-averaged O_3 concentration of 255 μg m^(-3) and a maximum daily averaged PM_(2.5) concentration of 111 μg m^(-3). In order to investigate simultaneously controlling these two air pollutants, two simulation-based regional emission control experiments were designed using a nested air quality prediction model system (NAQPMS). One emission control scenario (＂Conventional Control＂) implemented the strictest control measures in Jinan and surrounding areas and resulted in a 15.7% reduction of O_3 and a 21.3% reduction of PM_(2.5) on days polluted by O_3 and PM_(2.5), respectively. The other emission control scenario (＂Source-tagging Control＂), by contrast, used online source-tagging modeling results from NAQPMS to select emission reduction regions based on their source contributions to the O_3 and the PM_(2.5) in Jinan and resulted in a 16.2% reduction of O_3 and a 22.8% reduction of PM_(2.5) on days polluted by O_3 and PM_(2.5), respectively. Compared to Conventional Control, this scheme produced smaller reductions in emissions from areas with low contributions to the O_3 and PM_(2.5) concentrations in Jinan as well as in the total emissions of primary pollutants (the reduced emissions was only 61% of that needed by Conventional Control), and the area and the population affected by these reductions decreased by 12% and 31%, respectively. However, this study demonstrates that Source-tagging Control is more efficient than Conventional Control in reducing simultaneous pollution by O_3 and PM_(2.5) through regional measures.
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