Literature DB >> 16458525

Radon in a thermal spring: identification of anomalies related to seismic activity.

B Zmazek1, L Todorovski, M Zivcić, S Dzeroski, J Vaupotic, I Kobal.   

Abstract

Anomalies have been observed in the radon content of thermal spring water at the Italian-Slovenian border. To distinguish the anomalies caused by environmental parameters (air and water temperature, barometric and hydrostatic pressure, rainfall) from those ascribed solely to earthquakes with M(L) from 1.2 to 2.5 and epicentres, R(E), within 2R(D) (R(D)--Dobrovolsky's radius), two approaches have been used: (i) correlation between time gradients of radon concentration and hydrostatic pressure, and (ii) regression trees within machine learning programs. The regression trees approach has been improved by introducing additional environmental parameters and prolonging the measuring period.

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Year:  2006        PMID: 16458525     DOI: 10.1016/j.apradiso.2005.12.016

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN: 0969-8043            Impact factor:   1.513


  1 in total

1.  Delegated Regressor, A Robust Approach for Automated Anomaly Detection in the Soil Radon Time Series Data.

Authors:  Muhammad Rafique; Aleem Dad Khan Tareen; Adil Aslim Mir; Malik Sajjad Ahmed Nadeem; Khawaja M Asim; Kimberlee Jane Kearfott
Journal:  Sci Rep       Date:  2020-02-20       Impact factor: 4.379

  1 in total

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