Journal
ECOLOGICAL MODELLING
Volume 148, Issue 1, Pages 27-46Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0304-3800(01)00434-3
Keywords
atmospheric pollution; artificial neural network; back propagation; forecasting model; Perugia urban area
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Urban air pollution is a growing problem. Large cities in particular show, at some point of time, high concentrations of substances dangerous for human health. The difficulty in forecasting pollutant's concentration trends with a reasonable error is still an open problem. In this paper, a new approach is proposed. An artificial neural network (ANN) is used to forecast short and middle long-term concentration levels for some of the well-known pollutants. The results seem to be in good accord with the monitored data and allow its use as the forecasting model on a 24-48 h basis requiring only the meteorological conditions and the traffic level. (C) 2002 Elsevier Science B.V. All rights reserved.
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