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

被引：31
作者：
Ambrosino, F. [1 ,2 ]
Sabbarese, C. [1 ,2 ]
Roca, V [2 ]
Giudicepietro, F. [3 ]
Chiodini, G. [4 ]
机构：
[1] Univ Campania Luigi Vanvitelli, Ctr Isotop Res Cultural & Environm Heritage CIRCE, Dept Math & Phys, Viale Lincoln 5, I-81100 Caserta, Italy
[2] Natl Inst Nucl Phys, Branch Naples, Via Cinthia 21, I-80126 Naples, Italy
[3] Natl Inst Geophys & Volcanol INGV, Vesuvius Observ, Naples Branch, Via Diocleziano 328, I-80124 Naples, Italy
[4] Natl Inst Geophys & Volcanol INGV, Bologna Branch, Via D Creti 12, I-40124 Bologna, Italy
来源：
APPLIED RADIATION AND ISOTOPES | 2020年 / 163卷 / 163期
关键词：
Radon; Influencing parameter; Artificial neural network; Signal replication; Signal forecasting; Anomaly detection; ENVIRONMENTAL PARAMETERS; ANOMALIES; IDENTIFICATION; PREDICTION; MODEL; SIGNALS; EVENTS;
D O I：
10.1016/j.apradiso.2020.109239
中图分类号：
O61 [无机化学];
学科分类号：
070301 ; 081704 ;
摘要：
This paper reports the analysis of soil Rn-222 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.
引用
收藏
页数：7
相关论文
共 42 条
  • [1] Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: Extension to high temperature processes
    Afanasyev, Andrey
    Costa, Antonio
    Chiodini, Giovanni
    [J]. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2015, 299 : 68 - 77
  • [2] Detecting time series anomalies using hybrid methods applied to Radon signals recorded in caves for possible correlation with earthquakes
    Ambrosino, F.
    Thinova, L.
    Briestensky, M.
    Sebela, S.
    Sabbarese, C.
    [J]. ACTA GEODAETICA ET GEOPHYSICA, 2020, 55 (03) : 405 - 420
  • [3] Analysis of geophysical and meteorological parameters influencing 222Rn activity concentration in Mladec caves (Czech Republic) and in soils of Phlegrean Fields caldera (Italy)
    Ambrosino, F.
    Thinova, L.
    Briestensky, M.
    Giudicepietro, F.
    Roca, V
    Sabbarese, C.
    [J]. APPLIED RADIATION AND ISOTOPES, 2020, 160
  • [4] Mathematical and geophysical methods for searching anomalies of the Radon signal related to earthquakes
    Ambrosino, F.
    De Cesare, W.
    Roca, V.
    Sabbarese, C.
    [J]. 9TH YOUNG RESEARCHER MEETING, 2019, 1226
  • [5] Innovative methodologies for the analysis of radon time series
    Ambrosino, F.
    Pugliese, M.
    Roca, V
    Sabbarese, C.
    [J]. NUOVO CIMENTO C-COLLOQUIA AND COMMUNICATIONS IN PHYSICS, 2018, 41 (06):
  • [6] RaMonA system for radon and thoron measurement
    Ambrosino, F.
    Buompane, R.
    Pugliese, M.
    Roca, V
    Sabbarese, C.
    [J]. NUOVO CIMENTO C-COLLOQUIA AND COMMUNICATIONS IN PHYSICS, 2018, 41 (06):
  • [7] 214Bi/214Pb radioactivity ratio three-year monitoring in rainwater in Prague
    Ambrosino, Fabrizio
    Thinova, Lenka
    Hyza, Miroslav
    Sabbarese, Carlo
    [J]. NUKLEONIKA, 2020, 65 (02) : 115 - 119
  • [8] Study on a peak shape fitting model for the analysis of alpha-particle spectra
    Ambrosino, Fabrizio
    [J]. APPLIED RADIATION AND ISOTOPES, 2020, 159
  • [9] ANALYSIS OF RADON TIME SERIES RECORDED IN SLOVAK AND CZECH CAVES FOR THE DETECTION OF ANOMALIES DUE TO SEISMIC PHENOMENA
    Ambrosino, Fabrizio
    Thinova, Lenka
    Briestensky, Milos
    Sabbarese, Carlo
    [J]. RADIATION PROTECTION DOSIMETRY, 2019, 186 (2-3) : 428 - 432
  • [10] Anomalies identification of Earth's rotation rate time series (2012-2017) for possible correlation with strong earthquakes occurrence
    Ambrosino, Fabrizio
    Thinova, Lenka
    Briestensky, Milos
    Sabbarese, Carlo
    [J]. GEODESY AND GEODYNAMICS, 2019, 10 (06) : 455 - 459
12345