Air pollution, as one of the most important environmental problems in cities, is a reflection of the reversal of unsustainable human activities in urban systems. Recognizing the problems caused by pollution in cities, the inefficiency of urban programs based on traditio
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Air pollution, as one of the most important environmental problems in cities, is a reflection of the reversal of unsustainable human activities in urban systems. Recognizing the problems caused by pollution in cities, the inefficiency of urban programs based on traditional approaches in dealing with its effects and accurate prediction of contaminated areas as part of the appropriate steps can provide useful information for planners to address this issue. In this paper, due to the air pollution problems, in order to accurately identify the status of the 22 districts of Tehran and the pollution process, appropriate zoning maps during the years 1395-1959 are presented. The goal is to move from not-real results to realism. The research method is a "descriptive-cross sectional" study, in which the annual average spatial analysis (AQI) presented by the air pollution sensing stations in Tehran is studied. At first, daily average air pollution was calculated based on the AQI index in Tehran during the aforementioned years, and then in the GIS software, the IDW methodology is used to obtain air pollution zoning maps. Also, the Spearman correlation coefficient model was used to analyze the relationship between two random variables and elevation. Then, by analyzing these maps, the most polluted urban areas and its causes were stated. The results showed that the highest air pollution in Tehran during these years were the central and southwestern parts of Tehran; moreover, there is no significant relationship between height factor and air pollution in Tehran. Thus, using the identification and generalizability of the theory of this research on contamination, finally, with regard to the more polluted districts of Tehran, effective systematic solutions were presented.
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