Abstract: Based on the hourly concentrations of six atmospheric pollutants from three environmental monitoring stations in Panjin from December 2023 to November 2024, as well as the average temperature, relative temperature, wind speed and other meteorological data during the same period, the characteristics of atmospheric pollutants were analyzed through methods such as correlation analysis, principal component analysis (PCA), and eXtreme Gradient Boosting (XGBoost). The relationships among six atmospheric pollutants and with meteorological factors were discussed. The results show that the daily, monthly and seasonal concentrations of atmospheric pollutants at each station in Panjin are different, while their trends are basically the same. The diurnal variations of PM2.5, PM10, NO2 and CO are bimodal, while SO2 and O3 are unimodal. Monthly variations of PM2.5 and PM10 show fluctuating changes, NO2 and CO are W-shaped, O3 is unimodal, and SO2 is irregular V-shaped. Seasonal variations of PM2.5 and PM10 are high in winter and spring and low in summer and autumn; SO2, NO2 and CO are high in winter and low in summer; O3 is high in summer and low in winter. Compared with each station, the concentrations of PM2.5, PM10 and O3 are mostly in the order of Kaifaqu station > Xinglongtai station > Xinshengjiedao Station, while the concentrations of SO2, NO2 and CO are mostly in the order of Xinglongtai station > Kaifaqu station > Xinshengjiedao Station. O3 is negatively correlated with the other five atmospheric pollutants, and its correlation with NO2 is the best, with a correlation coefficient of -0.57. The other atmospheric pollutants are all positively correlated. The higher correlation coefficients are 0.76 between CO and NO2 and 0.76 between PM2.5 and PM10. The first principal components of pollutants are CO, NO2 and SO2, with a variance contribution rate of 59.0%. Analysis based on XGBoost and Shapley Additive ExPlanations (SHAP) indicates that the lowest temperature has the greatest impact on PM2.5, SO2, NO2 and CO, while the average temperature has the greatest impact on PM10 and O3. The atmospheric pollution in Panjin area is mainly gaseous pollutants, and temperature has a significant impact on various atmospheric pollutants.