Statistical and stochastic models can be used to predict critical pollutant concentrations both in industrial and urban areas. Statistical models are generally useful when the information available from measured concentration trends is more relevant than the one obtained from the deterministic analyses. The use of statistical models may also be encouraged by the presence of a significant amount of data, recorded by several monitoring networks, in the territory of interest.
A summary chapter (Finzi and Nunnari, 2005) from the book Air Quality Modeling - Theories, Methodologies, Computational Methods, and Available Databases and Software, Vol II (Zannetti, Ed. 2005) is included as a pdf file.
Guide prepared by P. Zannetti (9/2020). For corrections or expansions please contact us.