Literature DB >> 31832681

ANALYSIS OF RADON TIME SERIES RECORDED IN SLOVAK AND CZECH CAVES FOR THE DETECTION OF ANOMALIES DUE TO SEISMIC PHENOMENA.

Fabrizio Ambrosino1, Lenka Thinová2, Miloš Briestenský3, Carlo Sabbarese1.   

Abstract

Anomalies in the radon (222Rn) releases in underground environments are one of the phenomena that can be observed before earthquake occurrence. Continuous measurements of radon activity concentration, and of meteorological parameters that influence the gas emission, were performed in three Slovak and Czech caves during 1-y period (1 July 2016-30 June 2017). The radon activity concentration in caves shows seasonal variations, with maxima reached during summer months. The anomalies in the radon time series are identified using a combination of three mathematical methods: multiple linear regression, empirical mode decomposition and support vector regression. The radon anomaly periods were compared with earthquake occurrences in Europe. Coincidences between both phenomena were found, since all monitored caves reflect contemporaneous local tectonic changes. The results indicate that radon continuous monitoring could assist a better understanding of radon emissions, along active tectonic structures, during seismic events.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Year:  2019        PMID: 31832681     DOI: 10.1093/rpd/ncz245

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  2 in total

1.  Assessment of occupational exposure from radon in the newly formed underground tourist route under Książ castle, Poland.

Authors:  Lidia Fijałkowska-Lichwa; Tadeusz A Przylibski
Journal:  Radiat Environ Biophys       Date:  2021-03-19       Impact factor: 1.925

2.  Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

Authors:  Adil Aslam Mir; Kimberlee Jane Kearfott; Fatih Vehbi Çelebi; Muhammad Rafique
Journal:  PLoS One       Date:  2022-01-13       Impact factor: 3.240

  2 in total

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