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[Evolution Characteristics of PM2.5 and O3 and Their Synergistic Effects on Atmospheric Compound Pollution in Tangshan].
Han, Li-Hui; Lan, Tong; Cheng, Shui-Yuan; Wang, Ying-Ao; Qi, Chao-Nan; Tian, Jian; Wang, Hai-Yan; Han, Deng-Yue; Wang, Shen-Ao.
Afiliação
  • Han LH; Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Lan T; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing 100124, China.
  • Cheng SY; Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Wang YA; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing 100124, China.
  • Qi CN; Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Tian J; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing 100124, China.
  • Wang HY; Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Han DY; Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Wang SA; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing 100124, China.
Huan Jing Ke Xue ; 45(8): 4385-4397, 2024 Aug 08.
Article em Zh | MEDLINE | ID: mdl-39168659
ABSTRACT
The concentrations of atmospheric pollutants PM2.5, O3, SO2, NO2, and CO together with the meteorological factors of temperature (T), relative humidity (RH), wind speed, and other relevant data in Tangshan from 2015 to 2021 were collected to study the variation characteristics of PM2.5 and O3 at different periods in Tangshan City in the past seven years and their influencing factors, to discuss the contributions of air mass transport to PM2.5 and O3 pollution, and to reveal the synergistic influence mechanism of PM2.5 and O3 on atmospheric compound pollution by using correlation analysis and backward trajectory cluster analysis techniques. The results showed that PM2.5 concentrations in Tangshan decreased year by year from 2015 to 2021, whereas O3 concentration showed a unimodal trend, with the peak appearing in 2017. Both PM2.5 and O3 concentrations showed obvious seasonal variation trends; PM2.5 was characterized by the highest concentration in winter and the lowest concentration in summer, whereas O3 was characterized by the highest concentration in summer and the lowest concentration in winter. In addition, the diurnal variation in PM2.5 showed a bimodal distribution, with the peak occurring during the morning and evening on weekdays, and O3 showed a unimodal distribution, with the peak value appearing during the period with strong ultraviolet radiation in the afternoon. PM2.5 had a significant positive correlation with SO2, NO2, and CO, whereas O3 had a significant positive correlation with radiation and temperature. Under the different pollution conditions, PM2.5 and O3 were affected by air mass transports from different directions. Being impacted by various factors, the synergistic effect of PM2.5 and O3 on atmospheric compound pollution showed an obvious negative effect in winter, whereas there was an obvious positive effect in spring, summer, and autumn. Under the backgrounds of different pollutions, when the concentration of PM2.5 exceeded 150 µg·m-3, the synergistic effect of PM2.5 and O3 showed an obvious negative effect.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article