pollution is known as one of the major environmental problems especially in areas where pollution sources and the human population are concentrated. Economic development, population growth and industrialization are the main sources of air pollution. Then, monitoring, quantifying, assessment and determine air pollution potential known as suitable method to improving air quality. In this research, GIS-based Multi Criteria Evaluation (MCE) approach was used for assessment and mapping of air pollution in the province of Isfahan. Combined MCE with GIS is an advanced method for air pollution studies, so that improves the GIS capability in spatial analysis and MCE in multi factors analysis. Natural and anthropogenic factors were selected as influencing factors on the air pollution potential. Industries activity, traffic and population were identified as sub-criteria for anthropogenic factors. Precipitation, wind speed and climate were the sub-criteria for natural resources. The analytical structure was defined based on the important factors influencing air pollution potential. All the selected criteria and sub criteria were converted to information layers and the process of standardization and weighting were performed. To produce the final map of air pollution potential, the layers were combined using Weighted Linear Combination (WLC) method. Central counties and northern of province were recognized as the regions with high air pollution load. On other hand the meteorological conditions is not very suitable for reducing air pollution. Counties located in the East and Northeastern of province which have not the air pollution load, present the average pollution potential due to unsuitable conditions of meteorological parameters. Industrial activity and population concentration increases the air pollution potential. The most favorable meteorological condition was observed in western counties due to the high precipitation, constant wind and humid climate. Final map was assorted into five suitability Key Words: Multi Criteria Evaluation, GIS, Weighted Linear Combination, Air Pollution Potential
