Background and Objective: The land use pattern represents the distribution and horizontal combination of urban applications, which plays a very important role in the distribution of pollutants and urban air quality. The impacts of these pollutants can be identified in t
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Background and Objective: The land use pattern represents the distribution and horizontal combination of urban applications, which plays a very important role in the distribution of pollutants and urban air quality. The impacts of these pollutants can be identified in the location of pollutants (industrial, commercial, office, residential, etc.), as well as its impact on the distribution of urban travel and subsequent emissions from urban traffic. The main objective of this study is to investigate the role of land use pattern and physical structure in spatial variations of pollutants in Tehran during the period of 2011-2018.Material and Methodology: In order to achieve this goal, Landsat satellite images and also data from the Air Quality Control Center of Tehran in 2011 and 2018 were used. Kriging model was arranged using Arc GIS software to classify satellite images and specify types of applications using artificial neural network method in ENVI software and also to determine the concentration of air pollution in Tehran.Findings: The results of spatial correlation analysis showed that there was a significant correlation between spatial structure changes and air pollution in Tehran during 7 years.Discussion and Conclusion: The results of land use change and air pollution indices indicate that construction in the west and north of Tehran has increased the concentration of pollutants in these directions from the city. If the change from downstream land to urban green spaces in the east and south-east of Tehran reduces the concentration of pollutants urban air has been in these areas.
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