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    2019—2021年疫情前后唐山市大气污染物变化特征及成因分析

    Analysis of the variations and causes of air pollutants in Tangshan City before and after the COVID-19 pandemic from 2019 to 2021

    • 摘要: 为了研究COVID-19疫情前后大气污染受人类活动的影响程度,特对2019—2021年的唐山市大气污染物变化特征进行分析及成因研究。采用减排效应估算模型及反距离插值法,得出各时间段大气污染物的浓度变化情况及影响因素,为唐山市大气环境治理提供合理化建议。结果表明: 2019—2021年唐山市首要污染物占比比较稳定,PM2.5占据榜首,以O3为代表的光化学污染近几年大幅增多; 通过人为减排公式计算,表明控制人为源排放对大气污染治理有明显作用。通过反距离插值法分析发现,PM2.5浓度峰值逐步减少,且高浓度区域分布有往市中心移动的趋势。

       

      Abstract: To investigate the anthropogenic influence on air pollution before and after the COVID-19 pandemic, this study analyzed the variations and causes of air pollutants in Tangshan City from 2019 to 2021. It derived the changes in their concentrations and their influencing factors in each time period using an estimation model for emission reduction effects and an inverse distance interpolation method. Accordingly, this study proposed reasonable suggestions for the atmospheric environment control in Tangshan. The results show that: ① From 2019 to 2021, the proportions of primary pollutants in Tangshan remained relatively stable, with PM2.5 ranking first and photochemical pollution represented by O3 increasing significantly in recent years; ② The results calculated using the formula for anthropogenic emission reduction show that the control over anthropogenic emissions plays a significant role in constraining air pollution; ③ The analysis based on the inverse distance interpolation method indicates that the peak concentration of PM2.5 gradually decreased, with the high-concentration distribution shifting toward the city center.

       

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