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Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method
F Ambrosino1, C Sabbarese1, V Roca2
1Centre for Isotopic Research on Cultural and Environmental Heritage (CIRCE), Department of Mathematics and Physics, University of Campania "Luigi Vanvitelli", Viale Lincoln 5, 81100, Caserta, Italy; National Institute of Nuclear Physics, Branch of Naples, Via Cinthia 21, 80126, Naples, Italy.
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.
