| Title | Effectiveness of emission control in reducing PM2.5 pollution in central China during winter haze episodes under various potential synoptic controls |
| Authors | Yan, Yingying Zhou, Yue Kong, Shaofei Lin, Jintai Wu, Jian Zheng, Huang Zhang, Zexuan Song, Aili Bai, Yongqing Ling, Zhang Liu, Dantong Zhao, Tianliang |
| Affiliation | China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China China Meteorol Adm, Hubei Key Lab Heavy Rain Monitoring & Warning Res, Inst Heavy Rain, Wuhan 430205, Peoples R China China Univ Geosci, Dept Environm Sci & Engn, Sch Environm Studies, Wuhan 430074, Peoples R China Peking Univ, Lab Climate & Ocean Atmosphere Studies, Dept Atmospher & Ocean Sci, Sch Phys, Beijing 100871, Peoples R China Zhejiang Univ, Sch Earth Sci, Dept Atmospher Sci, Hangzhou 310058, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing 210044, Peoples R China |
| Issue Date | 2-Mar-2021 |
| Publisher | ATMOSPHERIC CHEMISTRY AND PHYSICS |
| Abstract | Currently, mitigating severe particle pollution in autumn and winter is the key to further improving the air quality of China. The source contributions and transboundary transport of fine particles (PM2.5) in pollution episodes are closely related to large-scale or synoptic-scale atmospheric circulation. How to effectively reduce emissions to control haze pollution under different synoptic conditions is rarely reported. In this study, we classify the synoptic conditions over central China from 2013 to 2018 by using Lamb-Jenkinson method and the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Final (FNL) operational global analysis data. The effectiveness of emission control to reduce PM2.5 pollution during winter haze episodes under potential synoptic controls is simulated by GEOS-Chem model. Among the 10 identified synoptic patterns, four types account for 87% of the total pollution days. Two typical synoptic modes are characterized by low surface wind speed and stable weather conditions or high relative humidity (A or C type) over central China due to a high-pressure system or a southwest trough and low-pressure system, blocking pollutants dispersion. Sensitivity simulations show that these two heavy pollution processes are mainly contributed by local emission sources with similar to 82% for A type and similar to 85% for C type, respectively. The other two patterns lead to pollution of transport characteristics affected by northerly or southerly winds (NW or SW type), carrying air pollution from northern or southern China to central China. The contribution of pollution transmission from northern and southern China is 36.9% and 7.6 %, respectively of PM2.5, and local emission sources contribute 41% and 69 %, respectively. We also estimate the effectiveness of emission reduction in these four typical severe pollution synoptic processes. By only reducing SO2 and NOx emission and not controlling NH3, the enhanced nitrate counteracts the effect of sulfate reduction on PM(2.5)mitigation, with a less than 4% decrease in PM2.5. In addition, to effectively mitigate haze pollution of NW- and SW-type synoptic-controlled episodes, local emission control actions should be in coordination with regional collaborative actions. |
| URI | http://hdl.handle.net/20.500.11897/605864 |
| ISSN | 1680-7316 |
| DOI | 10.5194/acp-21-3143-2021 |
| Indexed | SCI(E) |
| Appears in Collections: | 物理学院 |
