A Neural Network Forecast for Daily Average PM sub(10) Concentrations in Belgium

A Neural Network Forecast for Daily Average PM sub(10) Concentrations in Belgium

The development of a forecasting model for the daily average PM sub(10) concentration in Belgium is detailed. The neural network forecasting tool was developed to predict the ground-level PM sub(10) values for the day on which the forecast is made and then for the following 2 d. Subsequent analysis...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Atmospheric environment (1994) 2005-06, Vol.39 (18), p.3279-3279
Hauptverfasser: Hooyberghs, Jef, Mensink, Clemens, Dumont, Gerwin, Fierens, Frans, Brasseur, Olivier
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The development of a forecasting model for the daily average PM sub(10) concentration in Belgium is detailed. The neural network forecasting tool was developed to predict the ground-level PM sub(10) values for the day on which the forecast is made and then for the following 2 d. Subsequent analysis of the model demonstrates that it had a reasonable accuracy. The accuracy of the modeled forecast was enhanced when cloud cover, day of the week, and wind direction were included.
ISSN:1352-2310
DOI:10.1016/j.atmosenv.2005.01.050