Abstract: The paper aims to understand the correlation between atmospheric pollutants and meteorological factors in Beibei District of Chongqing, and to provide a basis for improving air quality in Beibei. The authors analyzed the variation characteristics of atmospheric pollution in Beibei and the correlation between atmospheric pollutants and meteorological elements by using linear regression, mathematical statistics method based on the air quality data and ground meteorological observation data from 2009 to 2014. The results showed that: the average annual variation of PM10 in Beibei had a rising trend; its seasonal change was obvious, following the order: winter >autumn> spring>summer; the monthly variation presented a“V”type, the minimum and maximum value occurred in July and December, respectively; the atmospheric pollutant concentration in Beibei decreased with the increase of temperature, wind speed and precipitation, and PM10 value tended to be large when there was static wind. In winter, the atmospheric pollutant concentration in Beibei reached the maximum, which was closely related to the atmospheric circulation.