Estimating pollutant emission into the atmosphere: a neural network approach

Crescenzio Gallo () and Alessandro Rinaldi

Quaderni DSEMS from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia

Abstract: A very significant issue today concerns the problem of air pollution caused mainly by human activity. The statistics show that most of the pollutants in the atmosphere is due to emissions caused by anthropogenic factors (e.g. power and industrial plants, traffic and combustion phenomena in general). In this paper we evaluate the implementation of a model using artificial neural networks to forecast short-term rate of air pollution for supporting environmental policy decisions.

Pages: 37 pages
Date: 2011-10
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