Abstract: According to the measured data of Liuyang air automatic monitoring station and Liuyang Meteorological Station,the data processing software was used to produce the monthly and seasonal concentration change diagram of the main pollutants,pollution factors and meteorological factors.The correlation between pollution factors and meteorological factors were analyzed by SPSS software correlation analysis model.The results showed PM_2.5 and 03 have relatively large impact on ambient air quality of the city,and the effects of SO₂,O₂ and PM₁₀ on the ambient air quality were relatively small.The better air quality was observed in autumn.The NO₂ concentration had an extremely significant negative correlation with air temperature,and there was an extremely significant positive correlation between NO₂ concentration and air pressure.PM₁₀ concentration has a significant negative correlation with wind speed.PM_2.5 concentration has an extremely significant negative correlation with air temperature,and a significant negative correlation with wind speed,but an extremely significant positive correlation with air pressure.03 concentration had significant negative correlation with humidity,and an extremely significant negative correlation with air pressure and an extremely significant positive correlation with temperature.