Impacts of Meteorology and Emission Variations on PM2.5 Concentration Throughout the Country During the 2020 Epidemic Period

被引:5
作者
Lu S.-Z. [1 ]
Shi X.-R. [2 ]
Xue W.-B. [2 ,3 ]
Lei Y. [2 ]
Yan G. [2 ]
机构
[1] School of Environment, Tsinghua University, Beijing
[2] Center of Air Modeling and Systems Analysis, Chinese Academy for Environmental Planning, Beijing
[3] State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing
来源
Huanjing Kexue/Environmental Science | 2021年 / 42卷 / 07期
关键词
COVID-19; epidemic; Meteorological condition; PM[!sub]2.5[!/sub; Pollutant emission; WRF-CMAQ model;
D O I
10.13227/j.hjkx.202011016
中图分类号
学科分类号
摘要
This study analyzed the impacts of meteorological conditions and changes in air pollutant emissions on PM2.5 across the country during the first quarter of 2020 based on the WRF-CMAQ model. Results showed that the variations in meteorological conditions led to a national PM2.5 concentration decreased of 1.7% from 2020-01 to 2020-03, whereas it increased by 1.6% in January and decreased by 1.3% and 7.9% in February and March, respectively. The reduction of pollutants emissions led to a decrease of 14.1% in national PM2.5 concentration during the first quarter of 2020 and a decrease of 4.0%, 25.7%, and 15.0% in January, February, and March, respectively. Compared to the same period last year, the PM2.5 concentration measured in Wuhan City decreased more than in the entire country. This was caused by improved meteorological conditions and a higher reduction of pollutant emissions in Wuhan City. PM2.5 in Beijing increased annually before the epidemic outbreak and during the strict control period, mainly due to unfavorable meteorological conditions. However, the decrease in PM2.5 in Beijing compared to March 2019 was closely related to the substantial reduction of emissions. The measured PM2.5 in the "2+26" cities, the Fenwei Plain and the Yangtze River Delta (YRD) decreased during the first quarter of 2020, with the largest drop occurring in the Yangtze River Delta due to higher YRD emissions reductions. The meteorological conditions of "2+26" cities and Fenwei Plain were unfavorable before the epidemic outbreak and greatly improved during the strict control period, whereas the Yangtze River Delta had the most favorable meteorological conditions in March. The decrease in PM2.5 concentration caused by the reduction of pollutant emissions in the three key areas was highest during the strict control period. © 2021, Science Press. All right reserved.
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页码:3099 / 3106
页数:7
相关论文
共 26 条
  • [1] Yue X, Lei Y D, Zhou H, Et al., Changes of anthropogenic carbon emissions and air pollutants during the coronavirus epidemic in China, Transactions of Atmospheric Sciences, 43, 2, pp. 265-274, (2020)
  • [2] Huang X, Ding A J, Gao J, Et al., Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China, National Science Review, (2020)
  • [3] Cheng Y H, Li Y S., Influences of traffic emissions and meteorological conditions on ambient PM<sub>10</sub> and PM<sub>2.5</sub> levels at a highway toll station, Aerosol and Air Quality Research, 10, pp. 456-462, (2010)
  • [4] Wang P, Cao J J, Tie X X, Et al., Impact of meteorological parameters and gaseous pollutants on PM<sub>2.5</sub>and PM<sub>10</sub> mass concentrations during 2010 in Xi'an, China, Aerosol and Air Quality Research, 15, pp. 1844-1854, (2015)
  • [5] Zhang J P, Zhu T, Zhang Q H, Et al., The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings, Atmospheric Chemistry and Physics, 12, 11, pp. 5031-5053, (2012)
  • [6] Wang H, Xu J Y, Zhang M, Et al., A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China, Atmospheric Environment, 98, pp. 146-157, (2014)
  • [7] Ren P J, Wei P, Zhao S, Et al., A case study on PM<sub>2.5</sub> heavy pollution caused by easterly winds transport during winter in Guanzhong area, Research of Environmental Sciences, 34, 5, pp. 1033-1043, (2021)
  • [8] Wang Z, Yang W F, Ye X, Et al., Impacts of meteorological factors on PM<sub>2.5</sub> concentration in urban regions of Changzhou, Journal of Meteorology and Environment, 36, 3, pp. 26-32, (2020)
  • [9] Wang T, Li J, Wang W, Et al., Numerical simulation study on source apportionment of PM<sub>2.5</sub> in a heavy winter pollution event over Beijing area, Acta Scientiae Circumstantiae, 39, 4, pp. 1025-1038, (2019)
  • [10] Wang Y, Wang L L, Zhao G N, Et al., Analysis of different-scales circulation patterns and boundary layer structure of PM<sub>2.5</sub> heavy pollutions in Beijing during winter, Climatic and Environmental Research, 19, 2, pp. 173-184, (2014)