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http://hdl.handle.net/2122/14059
Authors: | Ambrosino, Fabio* Sabbarese, Carlo* Roca, V.* Giudicepietro, Flora* Chiodini, Giovanni* |
Title: | Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method | Journal: | Applied Radiation and Isotopes | Series/Report no.: | /163 (2020) | Publisher: | Elsevier | Issue Date: | Sep-2020 | DOI: | 10.1016/j.apradiso.2020.109239 | Keywords: | Anomaly detection; Artificial neural network; Influencing parameter; Radon; Signal forecasting; Signal replication | 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. |
Appears in Collections: | Article published / in press |
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