Spatial evaluation of the effect of land use parameters on air quality in urban areas, a case study: Tehran

Air pollution has a serious impact on human health and the effects of different land use parameters and physical urban structure can not be ignored in the distribution and emission of air pollutants. To this end, in this study, the effect of land use pattern on spatial changes of pollutants in Tehran in the period 2011-2020 has been investigated..To achieve this goal Landsat satellite images as well as pollution data of Tehran Air Quality Control Center in 2011 and 2020 were used. The artificial neural network method was used in ENVI software to classify satellite images and determine the type of uses and Kriging model in Arc GIS software for zoning air pollution concentration in Tehran. The findings of this study show that Increased construction in the west and north of Tehran in these parts of the city has increased the concentration of pollutants. In return Land use change from barren lands to urban green spaces in the east and southeast of Tehran has reduced the concentration of urban air pollutants in these areas.