Abstract
The theories of atmospheric diffusion (statistical or Gaussian model, k-theory and Lagrangian Monte Carlo model) are reviewed in order to show that they are not separate approaches, but are all amenable to the same basic physical principles and the same mathematical treatment based on the theory of stochastic differential equations (SDE). In particular it is shown how the k-theory can include either rigorously or heuristically some of the features of the statistical theory and of the Lagrangian Monte Carlo models. An application of the k-theory is then developed to describe summer pollution episodes caused by the emission of a power plant situated in the Po Valley. Different shapes for the diffusion coefficients are chosen on the basis of the previous discussion and values of parameters involved are estimated by least square fitting of the experimental concentration data.
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© 1985 Plenum Press, New York
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Melli, P., Spirito, A., Fronza, G. (1985). Pollution Episodes in Situations of Weak Winds: An Application of the K-Model. In: De Wispelaere, C. (eds) Air Pollution Modeling and Its Application IV. Nato — Challenges of Modern Society, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2455-3_43
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DOI: https://doi.org/10.1007/978-1-4613-2455-3_43
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