To investigate the seasonal differences in air quality in Yibin City， Sichuan Province and explore how meteorological factors influence the air pollution situation， based on 2 557 pieces of measured air quality data collected from three monitoring points in 11 districts and counties of Yibin City and 7 monitoring stations in county towns from 2017 to 2022， through the correlation analysis of air quality in Nanxi District， a prediction model was constructed using the LSTM network. The results indicated that the LSTM model could accurately reflect the trend of historical data， and provided a scientific basis for understanding the current status of air quality management in this region.