Geographical information model of carbon monoxide dispersion near expressways affected by traffic under different conditions of atmospheric stabilities (A case study: Niayesh expressway)

Document Type : Original Article

Authors

1 Assistant Professor, Department of Civil Engineering, K.N.Toosi University of Technology, Tehran

2 Graduated Student, Department of Civil Engineering, K.N.Toosi University of Technology, Tehran

Abstract

One of the main sources of air pollution in metropolitan areas is the traffic and the associated problems in the transportation system. Traffic network development and increasing the number of different types of vehicles with different speeds, leading possibility of incomplete fuel burning, can increase air pollutant concentration which is often inevitable; moreover, has endangered the health of civilian in cities. Accordingly, air pollution modeling to predict spatial concentration of air pollutants across the cities is required. In this research, a case study of carbon monoxide emission, near Niayesh expressway in Tehran megacity, for duration of 23rd October 2015 to 21st November 2015, has been conducted. This research is carried out by using CALINE4 software, presenting the results upon GIS-based methods. The CO concentration across the selected domain is predicted at different points by the distance of 500 m at the sides of expressway axis considering different atmospheric stability classes. The results are affected by path geometric of expressway, traffic data and weather conditions during the study period. The proposed model calibration has been obtained by predicting model results with some measured point values. The results of the proposed model have presented the CO pollutant concentration increase in the areas affected along the wind direction, especially in the north side of the expressway while there is stabilized atmosphere and wind speed is decreasing. Furthermore, the CO concentration is remained at minimum level along opposite wind direction. The predicted pollution concentrations with increasing distance from the expressway show  exponentially reduction trend and have been decreased at distances of 25, 100, 150, and 300 meters from expressway axis as 18%, 48%, 57%, 73%, and 96%, respectively.  In this study, the CO concentration in GIS system was predicted, for duration of 23rd October 2015 to 21st November 2015, which is the most stable period of atmospheric condition. The obtained results represent that the CO concentration along two zones of Valiasr street to Seoul street and Farahzadi Boulevard to Ashrafi Esfahani highway are more than the rest. Accordingly, the conditions of two named zones are introduced as high hazardous zones which are in need of pollutant reduction by the changes in boundary conditions.

Keywords

References

  1.  

    1. Benson,P.E.(1984).CALINE4-A dispersion model for predicting air pollutant concentrations near roadways. Final report (No. FHWA/CA/TL-84/15).
    2. Bosanquet, C. H., & Pearson, J. L. (1936). The spread of smoke and gases from chimneys. Transactions of the Faraday Society, 32, 1249-1263.
    3. Carr, D., von Ehrenstein, O., Weiland, S., Wagner, C., Wellie, O., Nicolai, T., & von Mutius, E. (2002). Modeling annual benzene, toluene, NO2, and soot concentrations on the basis of road traffic characteristics. Environmental research, 90(2), 111-118.
    4. Chock, D. P. (1977). General Motors sulfate dispersion experiment: assessment of the EPA HIWAY model. Journal of the Air Pollution Control Association, 27(1), 39-45.
    5. Clements, A. L., Jia, Y., Denbleyker, A., McDonald-Buller, E., Fraser, M. P., Allen, D. T., ... & Zhu, Y. (2009). Air pollutant concentrations near three Texas roadways, part II: Chemical characterization and transformation of pollutants. Atmospheric Environment, 43(30), 4523-4534.
    6. De Nevers, N. (2010). "Air pollution control engineering": Waveland press.
    7. Department of Transportation and Traffic Organization of Tehran Municipality. (2013). "Selection   of   Statistics Regarding Public transport in Tehran ",(in persian).
    8. Department of Transportation & Traffic Organization of Tehran Municipality and Fuel ,Combustion   and pollution Research Center. (2015). "The hot exhaust pollution emission factors for petrol cars manufactured domestically based on pollutant standard euro-2.," Sharif University of Technology, Mechanic Engineering Department, (in persian).
    9. Gasana, J., Dillikar, D., Mendy, A., Forno, E., & Vieira, E. R. (2012). Motor vehicle air pollution and asthma in children: a meta-analysis. Environmental research, 117, 36-45.
    10. Lipfert, F. W., Wyzga, R. E., Baty, J. D., &  Miller, J. P. (2006). Traffic density as a surrogate measure of environmental exposures in studies of air pollution health effects: Long-term mortality in a cohort of US veterans. Atmospheric Environment, 40(1), 154-169.
    11. Majumdar, B. K., Dutta, A., Chakrabarty, S., & Ray, S. (2010). Assessment of vehicular pollution in Kolkata, India, using CALINE 4 model. Environmental monitoring and assessment, 170(1), 33-43.
    12. Mehdipour, V. (2017). Temporal modeling of tropospheric ozone and analysis of its relationship with photochemical precursors considering meteorological parameters. KN Toosi University of Technology.
    13. Mehdipour, V., & Memarianfard, M. (2017). Application of Support Vector Machine and Gene Expression Programming on Tropospheric ozone Prognosticating for Tehran Metropolitan. Civil Engineering Journal, 3(8), 557-567.
    14. Memarianfard, M. (2014). LINE SOURCE MODEL FOR VEHICULAR POLLUTION PREDICTION NEAR ROADWAYS ACCORDING TO GAUSSIAN MODEL. International Journal of Academic Research, 6(5).
    15. Memarianfard, M., Aghdam, M. M., & Memarianfard, H. (2016). Health risks zonation in megacities vis-à-vis PM using GIS-based model. Journal of Fundamental and Applied Sciences, 8(3), 193-202.
    16. Memarianfard, M., Mostafa Hatami, A., & Ajam, M. (2016). Estimation of exposure to fine particulate air pollution using GIS-based modeling approach in an urban area in Tehran. International Journal of Human Capital in Urban Management, 1(4), 295-300.
    17. Pantaleoni, E. (2013). Combining a road pollution dispersion model with GIS to determine carbon monoxide concentration in Tennessee. Environmental monitoring and assessment, 185(3), 2705-2722.
    18. Shafiee, M., and Mohammadi, B. (2014). Air Pollution and its effects on  the Environment. Esfahan: Pars Zia,(in persian).
    19. Sharma, P., & Khare, M. (2001). Modelling of vehicular exhausts–a review. Transportation Research Part D: Transport and Environment, 6(3), 179-198.
    20. Shureshi, A. (2006). "The use of new traffic control devices in better utilization of urban highway systems," presented at the Second National Civil Engineering Congress, Tehran,(in persian).
    21. Sistla, G., Samson, P., Keenan, M., & Rao, S. T. (1979). A study of pollutant dispersion near highways. Atmospheric Environment (1967), 13(5), 669-685.
    22. Statistical Center of Iran. Available:https://www.amar.org.ir/
    23. Turner, D Bruce. & United States. National Air Pollution Control Administration. (1970). Workbook of atmospheric dispersion estimates. Cincinnati, Ohio: National Air Pollution Control Administration.
    24. Yazdi, M. N., Delavarrafiee, M., & Arhami, M. (2015). Evaluating near highway air pollutant levels and estimating emission factors: Case study of Tehran, Iran. Science of The Total Environment, 538, 375-384.

     

     

Journal of Climate Research
Volume 1397, Issue 35
March 2019
Pages 53-70

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