使用人工神经网络方法对弗莱格雷火山地区（意大利那不勒斯）的7年氡时间序列进行分析。

Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method.

作者信息

Ambrosino F, Sabbarese C, Roca V, Giudicepietro F, Chiodini G

机构信息

Centre 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.

出版信息

Appl Radiat Isot. 2020 Sep;163:109239. doi: 10.1016/j.apradiso.2020.109239. Epub 2020 May 24.

DOI:10.1016/j.apradiso.2020.109239

PMID:32561065

Abstract

This paper reports the analysis of soil Rn 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.

摘要

本文报道了对意大利那不勒斯弗莱格雷火山口7年期间记录的土壤氡数据的分析。通过人工神经网络（ANN）方法估算了氡活度浓度与影响气体排放的几个地球物理、地球化学和气象参数之间的关系。分析目标是：根据影响参数估算（复制）氡时间序列、预测其未知部分以及寻找异常。结果证明：（i）人工神经网络方法的有效性；（ii）通过与使用不同方法的先前研究进行比较表明，氡随火山口的活动期而变化。