Ambient air quality is the current hot topic of social concern, the relevant departments announced the ambient air quality data in real time, including air quality monitoring Air Quality Index (AQI) and PM2.5, PM10, SO2, CO, NO 2 , O 3 concentration six indicators data. First, the use of the data, the air quality index for information and six changes of monitoring indicators and the main influencing factors derived from the concentration values in the abstract, Intuitively and quickly established by the X (pollutant concentrations) to Y (time) mappings, the concentration value by making abstract mathematical model into the air quality index can integrate with a variety of environmental evaluation methods, laws and regulations, to facilitate the environmental assessment and environmental management. In this paper, the trend to reflect the relationship between time and effective annual six monitoring indicators, radiation from the wind speed, rainfall, sun, geography and other meteorological factors and pollutant emissions do cause analysis. Using this model we can in the coming years Kunming air quality forecast, but also facilitate the future more targeted for ambient air quality management.