Publication Date:
2021-01-04
Description:
This paper reports the analysis of soil 222Rn data recorded over 7-years in the volcanic caldera of Campi Flegrei (Naples-Italy). The relationship between Radon activity concentration and several geophysical, geochemical and meteorological parameters, influencing the gas emissions, is estimated by the Artificial Neural Network (ANN) method. The analysis goals are: the estimation (replication) of the Radon time series from influencing parameters, the forecasting of an unknown part of it, and the search for anomalies. Results prove: (i) the effectiveness of the ANN method; (ii) Radon follow the periods of agitation of the caldera, demonstrated by the comparison with previous works using different methods.
Description:
Published
Description:
109239
Description:
6IT. Osservatori non satellitari
Description:
JCR Journal
Keywords:
Anomaly detection; Artificial neural network; Influencing parameter; Radon; Signal forecasting; Signal replication
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
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