Abstract
This study aimed to evaluate the correlation between temperature inversion and air pollution in Beijing, China in year 2020. The study first analyzed the monthly trend of temperature inversion levels in 2020, finding that it has two peaks in April and October and has the lowest value in August. The writer used line charts and linear regression method to study the correlation between temperature inversion level and the daily AQI level in Beijing in 2020. The study also focused on the relationship between concentration of polluting air particles: PM2.5, PM10, SO2, CO, NO2 and temperature inversion level, finding that temperature inversion level is positively correlated with the concentration of most polluting particles. The study provided comments for governments and citizens on how to reduce the effect of the air pollution caused by temperature inversion.
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