Abstract
A Monte Carlo particle model for simulating pollutant dispersion in the atmosphere has been developed by our team. Its ability to predict ground level concentrations (g.I.c.) is verified against experimental data from the Karlsruhe Nuclear Research Center (F.R.G.). Tracer data were also compared to the simulations of 10 different Gaussian models in order to prove the particle model performances against simple and widely used models. A complete “model evaluation” was carried out: particle model yields satisfactory results and shows performances which are significantly better than all the Gaussian models.
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References
Brusasca G., Tinarelli G. and Anfossi D., 1989, Comparison between results of a Monte Carlo atmospheric diffusion model and tracer experiments, Atmospheric Environment, Vol.23, No. 6, 1263–1280.
Thomas P., Hubschmann W., Schuttelkopf H. and Vogt S., 1983, in: “Experimental determination of the atmospheric dispersion parameters at the Karlsruhe Nuclear Research Center for 160 m and 195 m emission heights. Part 2: evaluation of measurements,” KfK Report 3457.
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© 1991 Springer Science+Business Media New York
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Brusasca, G., Morselli, M.G., Anfossi, D. (1991). Particle Diffusion Model Evaluation Against Tracer Experiment. In: van Dop, H., Steyn, D.G. (eds) Air Pollution Modeling and Its Application VIII. NATO · Challenges of Modern Society, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3720-5_65
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DOI: https://doi.org/10.1007/978-1-4615-3720-5_65
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