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Estimation of Air Pollution in Urban Streets by Modeling of PM10, O3 and CO Pollutants according to Regression Method (Case study-Yadegar and Azadi streets intersection, Tehran, IRAN)

Author Affiliations

  • 1Department of Civil Engineering, Babol University of Technology, Babol, IRAN
  • 2 Graduate Faculty of Environment, Babol University of Technology, Babol, IRAN

Res. J. Recent Sci., Volume 2, Issue (4), Pages 36-45, April,2 (2013)


Nowadays, the growth of civilization rate, expansion in use of vehicles and development of economic activities all leads to increase of urban air pollution. Daily increase of urban traffic and emission of various pollutants has confronted the human to severe environmental problems, so that, it’s effects are evident in the areas of physical health, psychological and economical losses. So, in order to reach to sustainable development and having clean air and transportations, we need a means to investigate the projects which are related to transportations with sufficient accuracy and numerically. In this study, the analysis and modeling of PM10, O3 and CO pollutants concentrations was investigated in Tehran. Parameters affecting the concentration of pollutants was specified according to weather and traffic statistics and the relation between various variables such as transportation, precipitation, maximum and minimum temperature and also relation between humidity and air pollution was investigated and finally, a model was presented according to regression method which will be capable to estimate the concentration of PM10, O3 and CO pollutants in city streets with appropriate accuracy for future years. one of applications of this model is assessment and prediction of production factors of these pollutants for manage and control tools.


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