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

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