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Air pollution and adverse effects of pollution caused by the combustion of fossil fuels in urban settlements are among the important environmental issues of metropolises that need to pay attention to ways to reduce air pollution in cities. Global experience has shown that urban form indicators are one of the most important factors affecting air pollution and energy consumption in the city. Therefore, paying attention to the form of the city plays an important role in the long-term perspective of cities for better air quality. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and documentary methods have been used. To analyze the data and answer the research questions, the Moran statistical technique was used in the GIS software environment. The results of this study showed that the air pollution situation in Tabriz in terms of air pollutants, ie sulfur dioxide, nitrogen dioxide, carbon monoxide in the second half of the year is more than the first half of the year, so that among the air monitoring stations The field had the highest number of air pollution. Also, the results of the study of the effect of urban form and land use pattern on air pollution showed that urban form and land use are effective on air pollution.

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Suspended particles management is one of the important issues in controlling the air pollution of cities. These particles cause and develop heart and respiratory diseases in people. Mashhad is considered as one of the main and populous cities of Iran. Because of its climatic conditions and its tourism, the city is at the highest risk of this type of pollution. We attempted to use the multi-layer perceptron (MLP) artificial neural network and a Markov chain model to predict PM₁₀ concentrations the city. We applied hourly data of CO, SO₂, PM_2.5 and temperature in late March and April 2015. Out of 1488 data series, 1300 data were used for network training and 188 data were used for validation. The results indicated the optimal performance of these methods in predicting of the amount of pollutants and also the probability of occurrence of hours with different quality of contamination. The best MLP artificial neural network model predicted the amount of pollutant particles with a coefficient of determination (R²) 0.88, index of agreement of  0.91 and a mean square error of  2.26. Also, the Markov model with average absolute error predicted about 0.1 percent of the probability of transferring the condition and the continuation of different states of air pollution caused by suspended particles.
 

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The increased use of thermal power plants has led to the spread of greenhouse gases in the air and has caused psychological problems for humans. Accordingly, the present study was conducted to measure the pollutants released by Sahand Bonab thermal power plant and to investigate the effects of this pollution on the psychological and psychological pressure of rural residents. The GWP100 method was used to measure the pollutants of the power plant and to measure the mental and emotional pressures of the citizens, a questionnaire was used to assess the psychological stress of Markham. The statistical population of this study is 10254 people over 15 years of age in 7 villages located in the greenhouse of the power plant. Using formulas and simple random sampling, 375 subjects were selected as sample size. The results showed that the most pollutants released are CO2 and NOx, which is 4.17 times the warm seasons in the seasons. Also, analysis of the results by using a Pearson test showed that six variables including neurological and disturbing variables p= 0.272, stress and psychological stress p= 0.325, feeling of energy decrease, p= 0.287, feeling of despair and disappointment in life p = 0.142, feeling Depression in life of p= 0.211 and change in behavior patterns in everyday life p= 0.269 had the most effect on air pollution. Also, mental and psychological stress in nearby villages was higher than in remote villages, more women than young men than older men and elderly people. The results of multivariate regression and path analysis showed that in general, the air pollution caused by the power plant has the ability to explain R² = 37.42 percent of the changes related to the psychological and psychological pressure of the villagers. Finally, it can be said that thermal power plants have negative mental and psychological effects according to type of activity, type of age and gender of the villagers, which should be considered in the studies of the construction of power plants.

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Air pollution is one of the major problems in large cities, which can be harmful to human health and the environment. Isfahan is one of the most polluted cities in Iran.
 Its geographic location and low wind speed, industrial activities, transportation, agriculture, and other human activities have created critical air pollution conditions for the city. Nitrogen dioxide is an important pollutant of air pollution, which is monitored using ground stations and satellite measurements. In this paper, daily data of nitrogen dioxide from Ozone Monitoring Instrument (OMI) satellite sensor, wind and surface temperature of Isfahan Meteorological Station data were used between October 2004 and May 2016. The average amount of nitrogen dioxide in the measured range is .The highest amount of nitrogen dioxide ( ) was observed in December and the lowest ( ) was observed in July. The standard deviation of the winter season ( ) is higher than the summer season ( ). The correlation coefficient of nitrogen dioxide with wind and temperature was -0.41 and -0.54, respectively, which indicates the higher importance of temperature in nitrogen dioxide changes. After the formation of the time series, the average monthly nitrogen dioxide content was determined using spectral analysis of least squares of statistically meaningful peaks corresponding periods. These statistically meaningful peaks corresponding periods have been eliminated from the mean monthly nitrogen dioxide time series, and with the linear fit on the residual time series, the trend has been calculated. The nitrogen dioxide trend for Isfahan is per year with 95% confidence.
 

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The rapid growth of metropolitan areas around the world, coupled with the increase in population in these cities, has created numerous problems such as traffic congestion and disruption to the inter-city transportation system. Therefore, this dilemma has been one of the major challenges facing urban planning in the late twentieth century which has influenced the achievement of sustainable urban development goals. Electronics in cyberspace are an integral part of life. Today, the use of public transport is one of the issues that are related to different aspects of quality of life. The purpose of this study was to investigate the impact of using public transport in reducing traffic and air pollution. In this study, library and field method were used for data collection. The statistical population of the study consisted of experts and urban planning experts. Sample size was estimated 25 people using snowball technique. In this study, AHP technique was used to achieve the research objectives. Data gathering tool was paired comparison questionnaire. The results of this study showed that the importance of indicators (criteria), in terms of their importance percentages are: Safety 0.499, Environmental Pollution 0.313, Cheapness 0.120 and Convenience 0.068 and finally the most preferred option between two motor modes, The public transport mode is identified at 0.778 compared to the 0.222 personal transport mode.

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There are several limiting factors to the development of cities. These factors lead cities to develop in certain directions. Air pollution as a major problem of metropolises can itself be considered as a limiting factor of urban development by urban decision makers. 4 relatively large power plants are operating in Mashhad. There are currently two power plants in the east of the city and two in the west of Mashhad. Most of the fuel in these power plants is gasoline and natural gas. Modeling the air pollutant emissions of these power plants and identifying the pattern of pollutant emissions across the city can play a key role in the quality of life and health of approximately 3.5 million Mashhad residents. The outputs of this model can also be used as an effective parameter in estimating the urban development model. In this study, the emission of NOX, CO and 10PM pollutants was modeled and evaluated using AERMOD software in Mashhad. Using Arc GIS software, the population affected by these air pollutants was determined by one year solar time, the concentration of pollutants in different areas of the city and the area affected by the pollution concentration range was determined.