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.
Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method / Ambrosino, F; Sabbarese, C; Roca, V; Giudicepietro, F; Chiodini, G. - In: APPLIED RADIATION AND ISOTOPES. - ISSN 1872-9800. - 163:(2020), p. 109239. [10.1016/j.apradiso.2020.109239]
Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method
Ambrosino, F
Primo
;Sabbarese, C;Roca, V;Giudicepietro, F;
2020
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.