Abstract
Increasingly, decisions taken for reducing urban pollution are based on some form of numerical modelling. Although the basic mechanisms for the formation of urban pollution are relatively well known, at least qualitatively, the evaluation of control strategies require accurate quantitative modelling of certain scenario, based on well documented past situations. This is the type of modelling that we will discuss here and which is quite different from the operational prediction of pollution conditions, for which the time constraint is crucial and the modelling usually simpler (and often statistical).
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Carissimo, B.C. (1998). Numerical Simulation of Meteorological Conditions for Peak Pollution in Paris. In: Gryning, SE., Chaumerliac, N. (eds) Air Pollution Modeling and Its Application XII. NATO • Challenges of Modern Society, vol 22. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9128-0_53
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DOI: https://doi.org/10.1007/978-1-4757-9128-0_53
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