A Comparative Study of Transport Impact Assessment on Pollution in Tehran. Case Study of Tehran 18th and 5th Districts

Air pollution is a process that depends on various atmospheric conditions and weather and climate phenomena are involved in the formation of this problem. Today, in Tehran and in many of the major industrial cities in the world, especially in developing countries, various pollutants are discharged through motor vehicles, industries and commercial and household sources. The purpose of this study was to study the concentration time of carbon monoxide pollutant in different times of the day and to investigate the relationship between carbon dioxide concentration and concentration of carbon monoxide with weather variables in Tehran's 5th and 18th regions. In this study, a statistical method was used to achieve the goals. At first, the concentration time of pollutants was identified in 4 periods in the study area. In order to calculate correlation and regression analysis between carbon monoxide with wind speed, minimum temperature and maximum temperature, Pearson correlation coefficient and multivariate regression analysis were used in SPSS and Excel. The results of multiple regression and percentage of coefficient of variation explained in area 18 with the input of three wind speed variables, minimum temperature and maximum temperature in the pollutant modeling of the CO station showed that the studied variables explained the CO pollutant of Shadabad station to 0.16 They made Also, in District 5, the results of this study showed that the amount of CO contamination in the daytime is at 8 oclock in the morning and is the lowest amount of record at 15 oclock during the 9-year period.