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...

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Veröffentlicht in:Atmospheric environment (1994) 2005-06, Vol.39 (18), p.3279-3279
Hauptverfasser: Hooyberghs, Jef, Mensink, Clemens, Dumont, Gerwin, Fierens, Frans, Brasseur, Olivier
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container_end_page 3279
container_issue 18
container_start_page 3279
container_title Atmospheric environment (1994)
container_volume 39
creator Hooyberghs, Jef
Mensink, Clemens
Dumont, Gerwin
Fierens, Frans
Brasseur, Olivier
description 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.
doi_str_mv 10.1016/j.atmosenv.2005.01.050
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title A Neural Network Forecast for Daily Average PM sub(10) Concentrations in Belgium
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