Abstract

Introduction The development of urbanization has had many negative outcomes in different societies. Population growth and the increase in the transportation are the consequences of urban growth which has resulted into problems. Vehicles are responsible for 90% of air pollution in Iran and it is essential to use authentic models of traffic emissions in accordance with the current conditions to predict this and future emissions. Iran has a lot of different air pollution dispersion parameters compared with the developed countries. Method In this paper air pollution emission parameters in signalized intersections have been modelled and results have been compared to measured concentrations of air pollution in intersections. For this purpose the use of IVE (International Vehicle Emission) model that is common air pollution modelling and besides, Sensitivity Analysis has been performed to show modeling accuracy in comparison with current emissions. Result By modeling and measurement results, it’s easily understood in warm seasons emission concentration is more than cold seasons. Minimum and maximum rate of Carbon-monoxide (CO) and Nitrogen-oxides (NOX) has been evaluated. Conclusion IVE model has shown a bit difference amount of pollutions by comparison with field measurement emission. It could be said it is appropriate for model vehicle emission in Iran.

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The different versions of the original document can be found in:

https://doaj.org/toc/1867-0717,
https://doaj.org/toc/1866-8887 under the license cc-by
http://link.springer.com/content/pdf/10.1007/s12544-017-0275-3.pdf,
http://dx.doi.org/10.1007/s12544-017-0275-3
https://etrr.springeropen.com/articles/10.1007/s12544-017-0275-3,
https://etrr.springeropen.com/track/pdf/10.1007/s12544-017-0275-3,
https://paperity.org/p/85600479/investigation-and-sensitivity-analysis-of-air-pollution-caused-by-road-transportation-at,
https://trid.trb.org/view/1492272,
https://academic.microsoft.com/#/detail/2779772365 under the license http://creativecommons.org/licenses/by/4.0
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Published on 01/01/2017

Volume 2017, 2017
DOI: 10.1007/s12544-017-0275-3
Licence: Other

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