Estimation of the Road Traffic Emissions and Dispersion in the Developing Countries Conditions

Authors: Hicham Gourgue, Ahmed Aharoune, Ahmed Ihlal

Abstract:

We present in this work our model of road traffic emissions (line sources) and dispersion of these emissions, named DISPOLSPEM (Dispersion of Poly Sources and Pollutants Emission Model). In its emission part, this model was designed to keep the consistent bottom-up and top-down approaches. It also allows to generate emission inventories from reduced input parameters being adapted to existing conditions in Morocco and in the other developing countries. While several simplifications are made, all the performance of the model results are kept. A further important advantage of the model is that it allows the uncertainty calculation and emission rate uncertainty according to each of the input parameters. In the dispersion part of the model, an improved line source model has been developed, implemented and tested against a reference solution. It provides improvement in accuracy over previous formulas of line source Gaussian plume model, without being too demanding in terms of computational resources. In the case study presented here, the biggest errors were associated with the ends of line source sections; these errors will be canceled by adjacent sections of line sources during the simulation of a road network. In cases where the wind is parallel to the source line, the use of the combination discretized source and analytical line source formulas minimizes remarkably the error. Because this combination is applied only for a small number of wind directions, it should not excessively increase the calculation time.

Keywords: Air pollution, dispersion, emissions, line sources, road traffic, urban transport.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1123763

References:

[1] L. Molina and J. Molina, Air Quality in the Mexico Megacity. An integrated assessment., Dordrecht: Kluwer Academic Publishers, 2002.
[2] N. Moussiopoulos, Air Quality in Cities, Heidelberg: Springer, 2003, p. 298.
[3] M. G. Vivanco and M. Andrade, Validation of the emission inventory in the Sao Paulo Metropolitan Area of Brazil, based on ambient concentrations ratios of CO, NMOG and NOx and on a photochemical model, Atmospheric Environment, vol. 40, pp. 1189- 1198, 2006.
[4] S. Metcalfea, J. Whyattb, O. Derwentc et R. Donoghue, The regional distribution of ozone across the British Isles and its response to control strategies, Atmospheric Environement, pp. 4045-4055, 2002.
[5] A. Martilli, Y. A. Roulet, M. Junier, F. Kirchner, M. Rotach et A. Clappier, On the impact of urban surface exchange parameterisations on air quality simulations: The Athens case, Atmospheric Environement, vol. 37, pp. 4217-4231, 2003.
[6] P. Sturm, K. Pucher, C. Sudy and R. Almbauer, Determination of traffic emissions - intercomparison of different calculation methods, science of the total environment, pp. 189-190, 1999.
[7] R. Friedrich et S. Reis, Emissions of Air Pollutants, measurements, calculations and uncertainties., Stuttgart: Springer, 2004.
[8] D. Parrish, Critical evaluation of US on-road vehicle emission inventories., Atmospheric Environment, vol. 40, pp. 2288-2300, 2006.
[9] L. Belalcazar, O. Fuhrer, H. D., E. Zarate et A. Clappier, Estimation of road traffic emission factors from a long term tracer study in Ho Chi Minh City (Vietnam)., atmospheric environment, vol. 43, p. 58305837, 2009.
[10] A. Maroc, Etude sur le cadastre des missions atmosphriques dans la rgion du grand Casablanca, Dpartement de l’environnement, Rabat, 2007.
[11] L. Ntziachristos, Z. Samaras, D. Gkatzoflias et Kouridis, COPERT IV Computer programme to calculate emissions from road transport, User manual (version 5.0), EEA, 2007..
[12] S. Eggleston, D. Gaudioso, N. Gorien, R. Joumard, R. Rijkeboer, Z. Samaras et K. Zierock, CORINAIR Working Group on Emissions Factors for Calculating 1990 Emissions from Road Traffic. Volume 1: Methodology and Emission Factors, European Commission, 1993.
[13] H. Gourgue, A. Aharoune, A. Ihlal, Dispersion of the NOx emissions from chimneys around industrial area: case study of the company CIBEL II Materials Today: Proceedings 2 (2015) pp. 4689-4693
[14] H. Gourgue, A. Aharoune, A. Ihlal, Study of the air pollutants dispersion from several point sources using an improved Gaussian model, J. Mater. Environ. Sci. 6 (6) (2015) 1584-1591
[15] Levitin, J., Hrknen, J., Kukkonen, J., Nikmo, J., Evaluation of the CALINE 4 and CAR-FMI models against measurements near a major road. Atmos. Environ. 39, 4439-4452,2005.
[16] Berger, J., Walker, S.-E., Denby, B., Berkowicz, R., Lofstrom, P., Ketzel, M. Hrknen, J., Nikmo, J., Karppinen, A., Evaluation and intercomparison of open road line source models currently in use in the Nordic countries., BorealEnv. Res. 15, 319-334.
[17] Venkatram, A., Isakov, V., Seila, R., Baldauf, R., 2009. Modeling the impacts of traffic emissions on air toxics concentrations near roadways., Atmos. Environ. 43, 3191-3199, 2010.
[18] Chen, H., Bai, S., Eisinger, D.S., Niemeier, D., Claggett, M., Predicting near-road PM2.5 concentrations: comparative assessment of CALINE4, CAL3QHC, and AERMOD. Transportation Research Record, Journal of the Transportation Research Board 2123, 26-37, 2009.
[19] Csanady, G.T., Turbulent Diffusion in the Environment. D. Reidel Publishing Company, Dordrecht, The Netherlands.EPA, Risk and Exposure Assessment to Support the Review of the NO2 Primary National Ambient Air Quality Standard. U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA, 2008.
[20] Yamartino, R., Chapter 7B Simulation Algorithms in Gaussian Plume Modeling, in Air Quality Modeling - Theories, Methodologies, Computational Techniques, and Available Databases and Software., vol. III-special issues. (P. Zannetti, Ed.). Published by the EnviroComp Institute and the Air, Waste Management Association ,2008.
[21] Cimorelli, A.J., Perry, S.G., Venkatram, A., Weil, J.C., Paine, R.J., Wilson, R.B., Lee, R.F., Peters, W.D., Brode, R.W., AERMOD: a dispersion model for industrial source applications. Part I: general model formulation and boundary layer characterization., J. Appl. Meteorol. 44, 682-693.
[22] EPA, Risk and Exposure Assessment to Support the Review of the NO2 Primary National Ambient Air Quality Standard. U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA, 2005.
[23] Karamchandani, P., Lohman, K., Seigneur, C., Using a sub-grid scale modeling approach to simulate the transport and fate of toxic air pollutants., Environ. Fluid Mech. 9, 59-71, 2009.
[24] Venkatram, A., Isakov, V., Seila, R., Baldauf, R., Modeling the impacts of traffic emissions on air toxics concentrations near roadways., Atmos. Environ. 43, 3191-3199, 2009.
[25] Arya, S., Air Pollution Meteorology and Dispersion. Oxford University Press. Benson, P.E., 1992. A review of the development and application of the CALINE3 and 4 models., Atmos. Environ. 26, 379-390, 1999.
[26] Briggs, G.A., Diffusion Estimation for Small Emissions Report NOAA n. 79, Oak Ridge, TN (U.S.A.), 1973.
[27] Seinfeld, J.H., Pandis, S.N., Atmospheric Chemistry and Physics: from Air Pollution to Climate Change. Wiley-Interscience, 1998.
[28] Venkatram, A., Horst, T., Approximating dispersion from a finite line source. Atmos. Environ. 40, 2401-2408, 2006.
[29] Korsakissok, I., Mallet, V., Comparative study of Gaussian dispersion formulas within the Polyphemus platform: evaluation with Prairie Grass and Kincaid experiments., J. Appl. Meteorol. Climatol. 48 (12), 2459- 2473, 2009.
[30] Mallet, V., Qulo, D., Sportisse, B., Ahmed de Biasi, M., Debry, , Korsakissok, I., Wu, L., Roustan, Y., Sartelet, K., Tombette, M., Foudhil, H., Technical note: the air quality modeling system Polyphemus. Atmos. Chem. Phys. 7 (20), 5479-5487, 2007.