Nitrogen dioxide（ NO 2）

sulfur dioxide（ SO 2）

and smoke are major pollutants from coal-fired power plants. In this study

we evaluated the air quality in coal-fired power plants by using satellite observations of NO 2

SO 2

and Aerosol Optical Depth（ AOD）. We first compared and analyzed the different temporal and spatial resolutions of NO 2

SO 2

and AOD in the North China Plain. Five classification grades were assigned to each pollutant factor

and then different images were overlaid based on the different weights of the pollutants. Next

the air quality model for near-surface evaluation was established. Multi-factors were s elected for a comprehensive evaluation to avoid the disadvantages of a single factor or function relation and to improve evaluation accuracy. Results show that the proposed model can reflect the characteristics of power plants in different regions.