Abstract: The daily air quality data in Jingzhou city from January 1, 2014-December 31, 2016 and the daily observation data of ground meteorological elements in the same period were used to analyze the air quality status, variation characteristics and the correlation-ships with meteorological elements in Jingzhou. The results show that the air quality in Jingzhou was slightly improved during the period from 2014 to 2016 and less pollution occurred on fine days. The primary pollutant was PM_2.5. The monthly AQI, PM₁₀, PM_2.5, SO₂, NO₂, and CO has a 'V' shape variation, while O₃ reverses. The air pollution was the most serious in winter and relatively light in summer. The AQI and the concentration of pollutants except O₃ are positively related to the AQI and air pressure on previous day, and are negatively related to the temperature, aqueous vapor pressure, humidity, cloud amount, precipitation and wind speed. The regressive prediction models of AQI and the concentration of pollutants are established based on the analysis. The cause of a serious weather pollution case in January 2014 is further analyzed:the distribution of local pollutants, the importing pollutants and the meteorological diffusion condition are the main factors affecting the air quality in that month.