Abstract
In this paper, 24-hour real-time monitoring data of 17 state-controlled monitoring stations in Z City of year 2016, including air quality and meteorological data, are used to analyze the spatial-temporal change trend of PM2.5 in Z City and its influencing factors. The results showed that: 1)a, the average annual concentration ofm-monthly histogram at each monitoring station showed a "U" type distribution; c, on a daily basis, the annual trend of PM2.5 concentration appears triple-peak and double-valley sawtooth-shaped fluctuation. 2) PM2.5 was positively correlated with CO, NO2, SO2, PM10 and was negatively correlated with O3. 3) PM2.5 was negatively correlated with temperature, humidity, rainfall, wind speed, and was positively correlated with the air pressure.
