Geostatistical analysis of air pollutant, Case study:Mashhad City

Today, air pollution has become one of the serious problems in developing countries. In this paper, the eventful areas for Mashhad city has been represented and the polluted area has been predicted with interpolation technique. For this purpose, 6 air pollutant data (CO, NO2,PM10, PM2.5) in 11 Mashhad air-evaluating stations in for one year according to Iranian calendar has been used. Geographic information system and two ordinary and probability Kriging approach has been used for representing the hotspots areas in study area. The Kriging method has been used as a tool for interpolation. In this research, at first with using semivirogram map, the spatial dependence of air pollutant in air station has been evaluated. Then, spatial model has been created with average daily air pollutant concentration and the quantity of air pollution in various areas has been represented in study area.