Correlation of indoor air quality and outdoor air quality at places with high air pollution in Tehran -1382

Nowadays the majority of people spend 80% to 90% of their time indoors and hence different air pollutants target them. This study aims at establishing a correlation between the air pollution concentrations of outdoors and indoors air quality. The main indoor air pollutants, namely CO and PM10 have been identified as real problems of Tehran’s indoor air quality. Topographically, Tehran is a bowl-shaped city with lacks rain, contains weather inversion during 70% of the year, uses older models and used vehicle in the streets, and has no wind for half the year. This research covers different types of locations, for measuring indoor and outdoor air quality such as, residential(R) and office (O) environments. For field studies, 5 stations were selected within a 500-meter radius. The locations selected are: Nejatollahi(O), Pardison(O), Fatemi(O), Gholhak(R) and with different terrains. Simultaneous measurements of air pollution concentrations were made between 8:00 to 16:00 in both indoor and outdoor conditions. The study shows that there are direct significant correlations between indoor air quality and nearby outdoor air conditions. The ratio of indoor air pollutants concentration to outdoor air pollutants concentration is defined as ρ. GRIMM and CO measuring instruments were used for sampling and particle deliberateness. The measurement results for different locations indicate:1. Stations and areas totally affected by open space show extreme influence of indoor air quality from nearby outdoor by signifying ρ= 80% for PM10 and 45% for CO. Variation of ρ shows, ρ CO has more tendencies to a straight line than ρ PM10; in fact, ρCO is between 37% to 68% and, under similar circumstances, ρ PM10 is 69% to 92%.2. Air condition is very important in buildings to push particles and CO out and prevent pollution from coming in.3. Finally, the results of the total measurements of the five stations are as follows:About 70% of locations heavily depend on CO, 10% depend a little on CO, and 18% show no dependency on CO. 27% of the tested areas were highly affected by PM10, 36% with low dependency and 27% with no dependency on PM10. .