Comprehensive Influence of Meteorology on Air Quality

Abstract

In view of the increasingly serious air pollution problem in China in recent years, especially the significant threat of PM2.5 to public health, this study focuses on the key driving factor of meteorological conditions, aiming to reveal the specific impact path of PM2.5 concentration in Beijing, and provide a solid theoretical basis and practical guidance for scientific formulation of provention and control strategies and effective response to climate change. Spearman correlation analysis, multiple linear regression and stepwise regression were used in the empirical analysis. The results showed that the air temperature was the most important meteorological factor affecting the concentration of PM PM. There was a significant negative correlation between the air temperature and the concentration of PM Yu. (Standardized coefficient Beta = -0. 691, p < 0.05), and the concentration of PM °C. Decreased by 0. 975 μg/m ³ when the air temperature increased by 1 °C. In addition, it is found that there is a serious multicollinearity problem among the meteorological factors, which may be the main reason why other factors except temperature are not significant in the regression model. The final regression model was significant (F = 4.941, p = 0.002). This study provides a quantitative basis for understanding the impact of meteorological conditions on air quality, and suggests that temperature should be used as a key indicator for short-term pollution warning, while providing a methodological reference for subsequent studies to overcome the multicollinearity problem.