Influence of COVID-19 Prevention and Control Measures on PM2.5 Concentration, Particle Size Distribution, Chemical Composition, and Source in Zhengzhou, China

被引：0

作者：

Huang B.-Y. ^{[1
]}

Wang S.-B. ^{[1
]}

He B. ^{[2
]}

Xue R.-Y. ^{[1
]}

Gao G.-Y. ^{[1
]}

Zhang R.-Q. ^{[3
]}

机构：

[1] College of Chemistry, Zhengzhou University, Zhengzhou

[2] Henan Zhengzhou Ecological Environment Monitoring Center, Zhengzhou

[3] School of Ecology and Environment, Zhengzhou University, Zhengzhou

来源：

Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 06期

关键词：

Chemical composition; COVID-19; epidemic; Particulate matter; Positive matrix factorization (PMF); Size distribution; Zhengzhou;

D O I：

10.13227/j.hjkx.202109082

中图分类号：

学科分类号：

摘要：

The COVID-19 lockdown was a typical occurrence of extreme emission reduction, which presented an opportunity to study the influence of control measures on particulate matter. Observations were conducted from January 16 to 31, 2020 using online observation instruments to investigate the characteristics of PM2.5 concentration, particle size distribution, chemical composition, source, and transport before (January 16-23, 2020) and during (January 24-31, 2020) the COVID-19 lockdown in Zhengzhou. The results showed that the atmospheric PM2.5 concentration decreased by 4.8% during the control period compared with that before the control in Zhengzhou. The particle size distribution characteristics indicated that there was a significant decrease in the mass concentration and number concentration of particles in the size range of 0.06 to 1.6 μm during the control period. The chemical composition characteristics of PM2.5 showed that secondary inorganic ions (sulfate, nitrate, and ammonium) were the dominant component of PM2.5, and the significant increase in PM2.5 was mainly owing to the decrease in NO3- concentration during the control period. The main sources of PM2.5 identified by the positive matrix factorization (PMF) model were secondary sources, combustion sources, vehicle sources, industrial sources, and dust sources. The emissions from vehicle sources, industrial sources, and dust sources decreased significantly during the control period. The results of analyses using the backward trajectory method and potential source contribution factor method indicated that the effects of transport from surrounding areas on PM2.5 concentration decreased during the control period. In summary, vehicle and industrial sources should be continuously controlled, and regional combined prevention and control should be strengthened in the future in Zhengzhou. © 2022, Science Press. All right reserved.

引用

页码：2840 / 2850

页数：10

共 57 条

[31] Wang Y Q, Zhang X Y, Arimoto R., The contribution from distant dust sources to the atmospheric particulate matter loadings at XiAn, China during spring, Science of the Total Environment, 368, 2-3, pp. 875-883, (2006)
[32] Wang S B, Fan X G, He B, Et al., Chemical composition characteristics of PM2.5 in Henan province during the Spring Festival and COVID-19 outbreak, China Environmental Science, 40, 12, pp. 5115-5123, (2020)
[33] Wang S B, Yin S S, Zhang R Q, Et al., Insight into the formation of secondary inorganic aerosol based on high-time-resolution data during haze episodes and snowfall periods in Zhengzhou, China, Science of the Total Environment, 660, pp. 47-56, (2019)
[34] Septiani R, Huboyo H S, Sumiyati S., Evaluation of cofiring application in power plant's coal combustion, IOP Conference Series: Earth and Environmental Science, 802, (2021)
[35] Xie D D, Qi J H, Zhang R F., Formation and size distribution of the secondary aerosol inorganic ions in different intensity of haze in Qingdao, China, Environmental Science, 38, 7, pp. 2667-2678, (2017)
[36] Yu F., Analysis of typical air pollution process in Zhengzhou, (2017)
[37] Tian Y, Zou Y, Yin C Q, Et al., Pollution characteristics of NO, NO2 and O3 during high incidence season of atmospheric photochemical reaction, Environmental Science & Technology, 42, 2, pp. 74-80, (2019)
[38] Wehner B, Birmili W, Gnauk T, Et al., Particle number size distributions in a street canyon and their transformation into the urban-air background: measurements and a simple model study, Atmospheric Environment, 36, 13, pp. 2215-2223, (2002)
[39] Guo S, Hu M, Zamora M L, Et al., Elucidating severe urban haze formation in China, Proceedings of the National Academy of Sciences of the United States of America, 111, 49, pp. 17373-17378, (2014)
[40] Kittelson D B., Engines and nanoparticles: a review, Journal of Aerosol Science, 29, 5-6, pp. 575-588, (1998)

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