Abstract: In order to explore the contribution of meteorological factors to air pollution, based on MLR model, the contribution rate of meteorological factors and air pollution in Beibei District Chongqing from 2014 to 2020 were quantitatively studied by using PCA principal component and path analysis. The results showed that the air quality in Beibei was dominated by excellent days, and the excellent days were increasing year by year, The days of moderate and severe pollution were not obvious. The concentration of AQI, PM_2.5 showed a downward trend year by year, and the change rate of the maximum concentration of O₃ showed an upward trend as a whole. Tmax and Rh contributed the most to AQI, accounting for 16%, and WS contributed the least, accounting for 11%. Tmin and Tmax were the main factors affecting the daily variation of PM_2.5 concentration, with contribution rates of 31.6% and −12.6%. T and Tmin were the main factors affecting the diurnal variation of O ₃ concentration, with contribution rates of 63.6% and −36.8% respectively. It can be seen that the temperature has the greatest impact on the air pollution in the central urban area of Chongqing.