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The Variation in Chemical Composition and Source Apportionment of PM2.5 before, during, and after COVID-19 Restrictions in Zhengzhou, China.
Huang, Jinting; Cai, Aomeng; Wang, Weisi; He, Kuan; Zou, Shuangshuang; Ma, Qingxia.
Afiliação
  • Huang J; College of Surveying and Mapping Engineering, Yellow River Conservancy Technical Institute, Kaifeng 475004, China.
  • Cai A; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
  • Wang W; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
  • He K; Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China.
  • Zou S; Henan Ecological and Environmental Monitoring Center, Zhengzhou 450007, China.
  • Ma Q; College of Surveying and Mapping Engineering, Yellow River Conservancy Technical Institute, Kaifeng 475004, China.
Toxics ; 12(1)2024 Jan 17.
Article em En | MEDLINE | ID: mdl-38251036
ABSTRACT
Despite significant improvements in air quality during and after COVID-19 restrictions, haze continued to occur in Zhengzhou afterwards. This paper compares ionic compositions and sources of PM2.5 before (2019), during (2020), and after (2021) the restrictions to explore the reasons for the haze. The average concentration of PM2.5 decreased by 28.5% in 2020 and 27.9% in 2021, respectively, from 102.49 µg m-3 in 2019. The concentration of secondary inorganic aerosols (SIAs) was 51.87 µg m-3 in 2019, which decreased by 3.1% in 2020 and 12.8% in 2021. In contrast, the contributions of SIAs to PM2.5 increased from 50.61% (2019) to 68.6% (2020) and 61.2% (2021). SIAs contributed significantly to PM2.5 levels in 2020-2021. Despite a 22~62% decline in NOx levels in 2020-2021, the increased O3 caused a similar NO3- concentration (20.69~23.00 µg m-3) in 2020-2021 to that (22.93 µg m-3) in 2019, hindering PM2.5 reduction in Zhengzhou. Six PM2.5 sources, including secondary inorganic aerosols, industrial emissions, coal combustion, biomass burning, soil dust, and traffic emissions, were identified by the positive matrix factorization model in 2019-2021. Compared to 2019, the reduction in PM2.5 from the secondary aerosol source in 2020 and 2021 was small, and the contribution of secondary aerosol to PM2.5 increased by 13.32% in 2020 and 12.94% in 2021. In comparison, the primary emissions, including biomass burning, traffic, and dust, were reduced by 29.71% in 2020 and 27.7% in 2021. The results indicated that the secondary production did not significantly contribute to the PM2.5 decrease during and after the COVID-19 restrictions. Therefore, it is essential to understand the formation of secondary aerosols under high O3 and low precursor gases to mitigate air pollution in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Toxics Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Toxics Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China