Analysis and zonation map of Tehran air quality monitoring data using grand and Rs

As the biggest metropolis of Iran, Tehran is among the most polluted cities of the world. Due to the detrimental effects of air pollution on health and environment, determining the exact pollutant and areas of pollution is necessary. The aim of this study was to investigate the ability of MODIS data. This study measure particulate matter (particle pollution) in urban areas and make air quality maps using these data and the ground data. Data related to the pollutants pm10, o3, co, so2,pm2.5 in 1394 using simple kriging method as a method of  ground statistics in different modes were evaluated and maps of pollutants levels were drawn. In addition, satellite images of the first level and second level data of this sensor for qualitative and quantitative analysis of particulate matter was used in large areas. Then, using the Normalized Difference dust Index (NDDI) related to the first level data and parameters such as optical depth and Angstrom view related to the second level data, their correlation and RMSE with ground data related to the pollutant PM10was calculated. Results indicate that there was proper correlation between satellite images parameters and ground measurements. Discussion and This correlation indicates the images ability of this sensor to detect atmospheric dust. Also, in this study the role of meteorological parameters influencing air pollution was investigated and results indicate that the dominant pollutant index in the year94, was the particulate matter pm2—.5and PM10.Continuous stability of weather condition is among the effective factors that increase the density of pollutants that leads to the pollutants accumulation.