Impacts of Anthropogenic Emission Reduction and Meteorological Conditions on PM2.5 Pollution in Typical Cities of Beijing-Tianjin-Hebei in Winter

被引：4

作者：

Shao X.-Y. ^{[1
]}

Wang X.-Q. ^{[1
]}

Zhong Y.-S. ^{[1
]}

Wang R.-P. ^{[1
]}

机构：

[1] Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing

来源：

Huanjing Kexue/Environmental Science | 2021年 / 42卷 / 09期

关键词：

Meteorological changes; PM[!sub]2.5[!/sub; Regional transport; Source apportionment; Water soluble inorganic ions;

D O I：

10.13227/j.hjkx.202011216

中图分类号：

学科分类号：

摘要：

This study used sampling analysis and a CAMx-PSAT coupling model to analyze the components, transmission, and source apportionment of PM2.5 in Beijing and Tangshan in January 2018. The results showed that in January 2018, water-soluble inorganic ions (WSIIs) accounted for 49.59% and 39.13% of PM2.5 mass concentrations in Beijing and Tangshan, respectively. The ratios of NO3- to SO42- were 2.02 and 1.51, respectively, indicating that pollution in both cities was dominated by mobile sources. In Beijing and Tangshan, PM2.5 accounted for 48.74% and 30.67% of transmission, respectively. Regional transmissions were mainly contributed by neighboring areas, northwest masses, and southwest masses. However, the contribution of the southwest passage to pollution in the respective cities increased by 9.65% and 15.02% during pollution periods. The principal sources contributing to PM2.5 pollution in Beijing were mobile and dust sources. Secondary ions were more obviously affected by regional contributions, mobile and industrial sources had the most significant effect in Tangshan, and most particulate matter and sulfate were contributed by local emissions. From 2013 to 2018, the dominant component of WSIIs changed from sulfate to nitrate while the main pollution sources changed from coal-fired and industrial sources to mobile and dust sources. Meanwhile, in January 2018, the meteorological factors were more favorable for pollution mitigation than in 2013. The meteorological impact of secondary ions is closely related to the lower relative humidity in 2018, compared to 2013. © 2021, Science Press. All right reserved.

引用

页码：4095 / 4103

页数：8

共 41 条

[1] Leoni C, Pokorna P, Hovorka J, Et al., Source apportionment of aerosol particles at a European air pollution hot spot using particle number size distributions and chemical composition, Environmental Pollution, 234, pp. 145-154, (2018)
[2] Yang X L, Wang Y, Li B, Et al., Influence of meteorological elements on pollutant concentration in River Valley Terrain, Research of Environmental Sciences, 31, 1, pp. 34-41, (2018)
[3] Leng C P, Duan J Y, Xu C, Et al., Insights into a historic severe haze event in Shanghai: synoptic situation, boundary layer and pollutants, Atmospheric Chemistry and Physics, 16, 14, pp. 9221-9234, (2016)
[4] Zhang Y L, Zhu B, Gao J H, Et al., The source apportionment of primary PM2.5 in an aerosol pollution event over Beijing-Tianjin-Hebei Region using WRF-Chem, China, Aerosol and Air Quality Research, 17, 12, pp. 2966-2980, (2017)
[5] Wu W L, Xue W B, Wang Y L, Et al., Health benefit evaluation for air pollution prevention and control action plan in China, Environmental Science, 40, 7, pp. 2961-2966, (2019)
[6] Zhang H F, Wang S X, Hao J M, Et al., Air pollution and control action in Beijing, Journal of Cleaner Production, 112, pp. 1519-1527, (2016)
[7] Li M G, Wang L L, Liu J D, Et al., Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013-2017, Environment International, 134, (2020)
[8] Wang X Q, Wei W, Cheng S Y, Et al., Characteristics of PM2.5 and SNA components and meteorological factors impact on air pollution through 2013-2017 in Beijing, China, Atmospheric Pollution Research, 10, 6, pp. 1976-1984, (2019)
[9] Geng G N, Xiao Q Y, Zheng Y X, Et al., Impact of China's air pollution prevention and control action plan on PM2.5 chemical composition over eastern China, Science China Earth Sciences, 62, 12, pp. 1872-1884, (2019)
[10] Shao P Y, Tian H Z, Sun Y J, Et al., Characterizing remarkable changes of severe haze events and chemical compositions in multi-size airborne particles (PM1, PM2.5 and PM10) from January 2013 to 2016-2017 winter in Beijing, China, Atmospheric Environment, 189, pp. 133-144, (2018)

← 1 2 3 4 5 →