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Analysis of Air Quality Changes and Influencing Factors in Changchun during the COVID-19 Pandemic in 2020

机译:2020年Covid-19大流行期间长春空气质量变化及影响因素分析

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To study the air quality changes during the Corona Virus Disease 2019 (COVID-19) lockdown in Changchun, we analyzed the changes in pollution of six major pollutants (PM2.5, PM10, SO2, NO2, O3, CO) and correlated them with meteorological parameters, using meteorological data and pollutants concentration data. Regional transport pathways and potential source areas of pollutants were analyzed using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and Potential Source Contribution Function (PSCF). The results showed that the concentrations of PM2.5, PM10, SO2, NO2, CO were 30.5%–53.8% lower in the Level I period and 49.4%–65.0% lower in the Level II period than in the pre-lockdown period, respectively. Conversely, O3 increased 59.6% and 58.1% during Level I and Level II, respectively, compared to the pre-lockdown period. During the 55-day lockdown, daily average concentrations of each pollutant were lower than in previous years on 36-55 days, while O3 was higher on 35 days. The pollutants that decreased in concentration during the lockdown also showed an increase during the Level III period (up to 188.5%). The maximum daily growth rate of PM2.5 during the lockdown period in 2020 was 16.0%, which was higher than this value in the same period of previous years (21.8%, 21.4%, 17.4%). This shows that the change trend of pollutants during the lockdown period is smoother than in previous years. Temperature and O3 were positively correlated before the lockdown and during Level I and weakly negatively correlated during Level II and Level III. Despite the prevalence of northwest winds in winter, a high percentage of trajectories from other directions (up to 36.8%) was observed during the lockdown. Simultaneously, the lockdown reduced the potential source area for PM2.5 (WPSCF ≥ 0.000007), but rebounded after the lockdown was lifted. In conclusion, the lockdown only temporarily reduced the air pollution in Changchun.
机译:为了研究长春的电晕病毒疾病(Covid-19)锁定期间的空气质量变化,我们分析了六个主要污染物(PM2.5,PM10,SO2,NO2,O3,CO)的污染变化并将其与其相关联气象参数,使用气象数据和污染物浓度数据。使用混合单粒子拉格朗日集成轨迹(HYSPLIT)模型和潜在的源贡献函数(PSCF)分析区域交通途径和潜在的污染源区域。结果表明,I期浓度为PM2.5,PM10,SO2,NO2,CO,CO水平降低30.5%-53.8%,二级较低期间较低的49.4%-65.0%较低,分别。相反,与预锁定期间,o3分别在I级和II级和5级增长59.6%和58.1%。在55天的锁定期间,每日污染物的每日平均浓度低于前几年36-55天,而O3在35天后较高。在锁定期间浓度下降的污染物也在III水平期间增加(高达188.5%)。 2020年锁定期间PM2.5的最高每日增长率为16.0%,比上年同期高于此价值(21.8%,21.4%,17.4%)。这表明锁定期间污染物的变化趋势比前几年更顺畅。温度和O3在锁定之前和在水平I期间呈正相关,并且在II级和III水平期间弱呈负相关。尽管冬季西北风的普遍性,但在锁定期间观察到从其他方向(高达36.8%)的高比例的轨迹。同时,锁定降低了PM2.5的潜在源区域(WPSCF≥0.000007),但在锁定锁定后反弹。总之,锁定仅暂时降低了长春的空气污染。

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