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Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data

Pasini A;Febo A
2002
2002
Istituto sull'Inquinamento Atmosferico - IIA
Inglese
Physical Chemistry 2002
607
614
No
Belgrado
natural radioactivity
PBL
forecasting
NULL
NULL
Once recognised the relevance of radon progeny measurements for an estimation of the diffusive properties of the atmospheric boundary layer, a brief review of recent results and some new developments are presented. They concern the improvement of a box model for the estimation of the mixing height during stability conditions and the application of a neural- network model to a preprocessed time series of radon data for a prediction activity. The final result is a reliable short-range forecast of the mixing height via the joint application of neural-network and box models.
3
none
Pasini, A; Ameli, F; Febo, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/79958
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