In order to explore the characteristics of air pollution and their relationship with meteorological elements in the three major urban agglomerations around the Bohai Sea, China, based on the daily report data of air quality index from 2015 to 2019 and the meteorological element data of the same period, the spatial autocorrelation model and Pearson correlation coefficient are used to analyze the correlation between them. The results show that: (1) For the three major pollutants studied, PM2.5, PM10 and O3, the main pollutants are PM2.5 and PM10 in winter and O3 in summer. Except O3, the concentrations of other pollutants show a downward trend from 2015 to 2019. (2) The air quality index (AQI) is the lowest in autumn and the highest in winter, and the air quality is gradually improving interannually. (3) AQI has an obvious spatial agglomeration phenomenon, which gradually changes from the good air quality area to the air pollution area from the coastal area to the inland area. (4) The correlations of AQI, PM2.5, PM10 and O3 with various meteorological elements are different in different seasons, and the correlation intensity shows a non-linear change.