Spatial analysis of air pollutant aimed at blue sky in Tehran city

Today in most developing countries, the concentration of air pollutant is extremely high and due to the growing rate of financial losses and fatalities, management and analysis of this crisis has created challenges for managers. One way to manage and alleviate this crisis is the use of spatial analysis and applying its different methods. A combination of spatial density analysis with Geographic Information System (GIS) data has helped to organize data and accelerate the implementation of various spatial analyzes. In this paper, to study the concentration of air pollutant, a combination of GIS data and network spatial analysis has been used and for this purpose, a statistical study on 30 air station was performed. In this study, by using spatial analysis, including kernel density estimation (KDE) method, eventful segments were identified and the results were implemented on the satellite image of the route.