Abstract
We investigate in this work a new methodology to estimate the road traffic emission. we present also the improved methodology to forecast the dispersion of these emissions in a studied area. The real case study carried out showed, that the numerical results produced by our model are very promising and are very close to the observations.
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References
Arya SA (1999) Review of the development and application of the CALINE3 and 4 models. Atmos Environ 26:379–390
Belalcazar L et al (2009) Estimation of road traffic emission factors from a long term tracer study in Ho Chi Minh City (Vietnam). Atmos Environ 43:5830–5837
Berger J et al (2010) Evaluation and intercomparison of open road line source models currently in use in the Nordic countries. Boreal Environ Res 15:319–334
Briggs G (1973) Diffusion estimation for small emissions report. NOAA, Oak Ridge. [Book]. - [s.l.]
Chen H et al (2009) Predicting near-road PM2.5 concentrations: comparative assessment of CALINE4, CAL3QHC, and AERMOD. Transp Res Rec J Transp Res Board 2123:26–37
Cimorelli A et al (2005) A dispersion model for industrial source applications. Part I: general model formulation and boundary layer characterization. J Appl Meteorol Climatol 44:682–693
Eggleston S et al. (1993) CORINAIR working group on emissions factors for calculating 1990 emissions from road traffic. Methodology and emission factors, [book]. - [s.l.]. European Commission
EPA (2005) Risk and exposure assessment to support the review of the NO2 primary national ambient air quality standard [report]. U.S. Environmental Protection Agency, North Carolina
Friedrich R, Reis S (2004) Emissions of Air Pollutants, measurements, calculations and uncertainties. Springer, Stuttgart
Gourgue H, Aharoune A, Ihlal A (2015a) Study of the air pollutants dispersion from several point sources using an improved Gaussian model. J Mater Environ Sci 6:1584–1591
Gourgue H, Aharoune A, Ihlal A (2015b) Dispersion of the NOx emissions from chimneys around industrial area: case study of the company CIBEL II. Mater Today: Proc 2:4689–4693
Gourgue H, Aharoune A, Ihlal A (2016) Estimation of the road traffic emissions and dispersion in the developing countries conditions. Int J Math Comput Phys Electr Comput Eng 10:171–178
Karamchandani P, Lohman K, Seigneur C (2009) Using a sub-grid scale modeling approach to simulate the transport and fate of toxic air pollutants. Environ Fluid Mech 9:9–71
Korsakissok I, Mallet V (2009) 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
Levitin J et al (2005) Evaluation of the CALINE 4 and CAR-FMI models against measurements near a major road. Atmos Environ 39:4439–4445
Mallet V et al (2007) Technical note: the air quality modeling system Polyphemus. Atmos Chem Phys 7(20):479–5487
Martilli A et al (2003) On the impact of urban surface exchange parameterisations on air quality simulations: the Athens case. Atmos Environ 37:4217–4231
Metcalfea S et al (2002) The regional distribution of ozone across the British Isles and its response to control strategies. Atmos Environ 36:4045–4055
Molina L, Molina J (2002) Air quality in the Mexico megacity. An integrated assessment. Kluwer academic Publishers, Dordrecht
Moussiopoulos N (2003) Air quality in cities. Springer, Heidelberg, p 298. [s.l.]
Parrish D (2006) Critical evaluation of US on-road vehicle emission inventories. Atmos Environ 40:2288–2300
Sanady G (2008) Risk and exposure assessment to support the review of the NO2 primary national ambient air quality standard, Turbulent Diffusion in the Environment. D. Reidel Publishing Company, Dordrecht
Sturm P et al. (1999) Determination of traffic emissions – intercomparison of different calculation methods. Sci Total Environ: 189–190
Venkatram A, Horst T (2006) Approximating dispersion from a finite line source. Atmos Environ 40:2401–2408
Venkatram A et al (2010) Modeling the impacts of traffic emissions on air toxics concentrations near roadways. Atmos Environ 43:3191–3199
Vivanco M, Andrade M (2006) 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. Atmos Environ 40:1189–1198
Yamartino R (2008) Simulation algorithms in Gaussian plume modeling. In: Zannetti P (ed) Air quality [book section] // Computational techniques, and available databases and software., - [s.l.]. EnviroComp Institute and the Air, Waste Management Association. Fremont, CA
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Gourgue, H. (2018). A New Method to Estimate the Instantaneous NOx Emissions from Road Traffic. In: Hussain, C. (eds) Handbook of Environmental Materials Management. Springer, Cham. https://doi.org/10.1007/978-3-319-58538-3_52-1
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DOI: https://doi.org/10.1007/978-3-319-58538-3_52-1
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