Air pollution is one of the main environmental problems in Tehran capital of Iran. Every day, a huge volume of exotic and destroying gases and different kinds of dangerous pollutants are added to the city air by cars, heavy vehicles, motorcycles, small workshops activities and garbage burners of hospitals. A hazardous complex is made by different types of carbon and nitrogen monoxides, sulfurs and solid particles of lead create such a harmful complex which is able to expose civilian’s lungs, eyes, skin to kill poisonous compounds made by the secondary and primary reactions. In fact, there is an exceeding number of those suffering from cancer, eyes, skin and pulmonary diseases. Carbon monoxide, nitrogen and sulfur oxides, ozone, and floating solar particles were studied as a monthly average within 12 months of a five- year statistical period. For each month the amount of the correlation the coefficient the hazardous pollutions with monthly average the number of pulmonary patients in Imam Hussein Hospital located in the east of Tehran has been determined in the same five- year- statistical period. Neural network models have been applied to predict the pollutants concentration for the next months. Since the correlation coefficients were in the best conditions, regressive relationships have been applied to predict the number of patients in Tehran and estimated the rate of the environmental destructive effects.