[Evolution Characteristics of PM<sub>2.5</sub> and O<sub>3</sub> and Their Synergistic Effects on Atmospheric Compound Pollution in Tangshan].

The concentrations of atmospheric pollutants PM<sub>2.5</sub>, O<sub>3</sub>, SO<sub>2</sub>, NO<sub>2</sub>, and CO together with the meteorological factors of temperature (<i>T</i>), relative humidity (RH), wind speed, and other relevant data in Tangshan from 2015 to 2021 were collected to study the variation characteristics of PM<sub>2.5</sub> and O<sub>3</sub> at different periods in Tangshan City in the past seven years and their influencing factors, to discuss the contributions of air mass transport to PM<sub>2.5</sub> and O<sub>3</sub> pollution, and to reveal the synergistic influence mechanism of PM<sub>2.5</sub> and O<sub>3</sub> on atmospheric compound pollution by using correlation analysis and backward trajectory cluster analysis techniques. The results showed that PM<sub>2.5</sub> concentrations in Tangshan decreased year by year from 2015 to 2021, whereas O<sub>3</sub> concentration showed a unimodal trend, with the peak appearing in 2017. Both PM<sub>2.5</sub> and O<sub>3</sub> concentrations showed obvious seasonal variation trends; PM<sub>2.5</sub> was characterized by the highest concentration in winter and the lowest concentration in summer, whereas O<sub>3</sub> was characterized by the highest concentration in summer and the lowest concentration in winter. In addition, the diurnal variation in PM<sub>2.5</sub> showed a bimodal distribution, with the peak occurring during the morning and evening on weekdays, and O<sub>3</sub> showed a unimodal distribution, with the peak value appearing during the period with strong ultraviolet radiation in the afternoon. PM<sub>2.5</sub> had a significant positive correlation with SO<sub>2</sub>, NO<sub>2</sub>, and CO, whereas O<sub>3</sub> had a significant positive correlation with radiation and temperature. Under the different pollution conditions, PM<sub>2.5</sub> and O<sub>3</sub> were affected by air mass transports from different directions. Being impacted by various factors, the synergistic effect of PM<sub>2.5</sub> and O<sub>3</sub> 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 PM<sub>2.5</sub> exceeded 150 μg·m<sup>-3</sup>, the synergistic effect of PM<sub>2.5</sub> and O<sub>3</sub> showed an obvious negative effect.

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Journal
PubMed
Published
2024-08-08
DOI
https://doi.org/10.13227/j.hjkx.202308122
Citations
1
Primary Topic
Synthesis and properties of polymers
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article
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[Evolution Characteristics of PM2.5 and O3 and Their Synergistic Effects on Atmospheric Compound Pollution in Tangshan].

Jian Tian, Shen-Ao Wang, Ying-Ao Wang, Lihui Han et al.
1 citations
PubMed
Synthesis and properties of polymers
article

[Evolution Characteristics of PM2.5 and O3 and Their Synergistic Effects on Atmospheric Compound Pollution in Tangshan].

Jian Tian, Shen-Ao Wang, Ying-Ao Wang, Lihui Han, Shui-Yuan Cheng, Haiyan Wang, Tong Lan, Deng-Yue Han, Chao-Nan Qi
article en
1 citations

Abstract

The concentrations of atmospheric pollutants PM<sub>2.5</sub>, O<sub>3</sub>, SO<sub>2</sub>, NO<sub>2</sub>, and CO together with the meteorological factors of temperature (<i>T</i>), relative humidity (RH), wind speed, and other relevant data in Tangshan from 2015 to 2021 were collected to study the variation characteristics of PM<sub>2.5</sub> and O<sub>3</sub> at different periods in Tangshan City in the past seven years and their influencing factors, to discuss the contributions of air mass transport to PM<sub>2.5</sub> and O<sub>3</sub> pollution, and to reveal the synergistic influence mechanism of PM<sub>2.5</sub> and O<sub>3</sub> on atmospheric compound pollution by using correlation analysis and backward trajectory cluster analysis techniques. The results showed that PM<sub>2.5</sub> concentrations in Tangshan decreased year by year from 2015 to 2021, whereas O<sub>3</sub> concentration showed a unimodal trend, with the peak appearing in 2017. Both PM<sub>2.5</sub> and O<sub>3</sub> concentrations showed obvious seasonal variation trends; PM<sub>2.5</sub> was characterized by the highest concentration in winter and the lowest concentration in summer, whereas O<sub>3</sub> was characterized by the highest concentration in summer and the lowest concentration in winter. In addition, the diurnal variation in PM<sub>2.5</sub> showed a bimodal distribution, with the peak occurring during the morning and evening on weekdays, and O<sub>3</sub> showed a unimodal distribution, with the peak value appearing during the period with strong ultraviolet radiation in the afternoon. PM<sub>2.5</sub> had a significant positive correlation with SO<sub>2</sub>, NO<sub>2</sub>, and CO, whereas O<sub>3</sub> had a significant positive correlation with radiation and temperature. Under the different pollution conditions, PM<sub>2.5</sub> and O<sub>3</sub> were affected by air mass transports from different directions. Being impacted by various factors, the synergistic effect of PM<sub>2.5</sub> and O<sub>3</sub> 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 PM<sub>2.5</sub> exceeded 150 μg·m<sup>-3</sup>, the synergistic effect of PM<sub>2.5</sub> and O<sub>3</sub> showed an obvious negative effect.

PubMedVol. 45(8)
Beijing University of Technology (CN)
Synthesis and properties of polymers
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