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

Q2 Environmental Science
Li-Hui Han, Tong Lan, Shui-Yuan Cheng, Ying-Ao Wang, Chao-Nan Qi, Jian Tian, Hai-Yan Wang, Deng-Yue Han, Shen-Ao Wang
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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.

[唐山 PM2.5 和 O3 的演变特征及其对大气复合污染的协同效应]。
收集唐山市2015-2021年大气污染物PM2.5、O3、SO2、NO2、CO浓度及气象要素温度(T)、相对湿度(RH)、风速等相关数据,研究唐山市近7年不同时段PM2.5和O3的变化特征及其影响因素,探讨气团输送对PM2.5和O3污染的贡献,揭示其协同影响机制。5和O3的变化特征及其影响因素,探讨气团输送对PM2.5和O3污染的贡献,并利用相关分析和后向轨迹聚类分析技术揭示PM2.5和O3对大气复合污染的协同影响机制。结果表明,2015-2021年唐山市PM2.5浓度逐年下降,而O3浓度呈单峰趋势,峰值出现在2017年。PM2.5和O3浓度均呈现明显的季节变化趋势,PM2.5浓度冬季最高、夏季最低,O3浓度夏季最高、冬季最低。此外,PM2.5 的日变化呈双峰分布,峰值出现在工作日的早晨和傍晚;O3 呈单峰分布,峰值出现在下午紫外线辐射较强的时段。PM2.5 与二氧化硫、二氧化氮和一氧化碳呈显著正相关,而 O3 则与辐射和温度呈显著正相关。在不同的污染条件下,PM2.5 和 O3 受到来自不同方向的气团输送的影响。受多种因素影响,PM2.5 和 O3 对大气复合污染的协同效应在冬季表现出明显的负效应,而在春季、夏季和秋季则表现出明显的正效应。在不同污染背景下,当 PM2.5 浓度超过 150 μg-m-3 时,PM2.5 与 O3 的协同效应表现出明显的负效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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