Preprints
https://doi.org/10.5194/npg-2019-37
https://doi.org/10.5194/npg-2019-37

  30 Jul 2019

30 Jul 2019

Review status: this preprint was under review for the journal NPG but the revision was not accepted.

Singular spectrum and principal component analysis of soil radon (Rn-222) emanation for better detection and correlation of seismic induced anomalies

Timangshu Chetia1,2, Saurabh Baruah1, Chandan Dey1,2, Sangeeta Sharma1, and Santanu Baruah1 Timangshu Chetia et al.
  • 1Geoscience & Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat-785006, Assam, India
  • 2Academy of Scientific and Innovative Research (CSIR-NEIST), Jorhat-785006, Assam, India

Abstract. In the recent years there are several reporting’s of anomalous seismic induced temporal changes in soil radon emanation. It is however well known that radon anomalies apart from seismic activity are also governed and controlled by meteorological parameters. This is the major complication which arise for isolating the seismic induced precursory signals. Here in the investigation the soil radon emanations temporal variability at MPGO, Tezpur, is scrutinized in the lime light of singular spectrum analysis (SSA). Further prior applying SSA Digital filter (Butterworth low pass) is applied to remove the high frequency quasi periodic component in the time series of soil radon emanation. It was scrutinized that sum of just 9 eigenfunctions were sufficient enough for reproducing the prominent characteristics of the overall variation. This perhaps also evinces that more significantly produced fluctuations are mostly free from natural variations. The variations in soil temperature was observed to be dominated by daily variations similar to radon variation which account to 97.99 % whereas soil pressure accounts for 100 % of the total variance which suggests that daily variations of soil radon (Rn-222) emanation are controlled by soil pressure in MPGO, Tezpur during the investigation period followed by soil temperature. The study concludes that SSA eliminates diurnal and semidiurnal components from time series of soil radon emanation for better correlation of soil radon emanation with earthquakes.

Timangshu Chetia et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Timangshu Chetia et al.

Timangshu Chetia et al.

Viewed

Total article views: 1,300 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,089 168 43 1,300 48 39
  • HTML: 1,089
  • PDF: 168
  • XML: 43
  • Total: 1,300
  • BibTeX: 48
  • EndNote: 39
Views and downloads (calculated since 30 Jul 2019)
Cumulative views and downloads (calculated since 30 Jul 2019)

Viewed (geographical distribution)

Total article views: 855 (including HTML, PDF, and XML) Thereof 830 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 May 2021
Download
Short summary
The soil radon anomalies apart from seismic activity are also governed and controlled by meteorological parameters. This is the major complication which arise for isolating the seismic induced precursory signals. Digital filter assists in eliminating the high frequency quasi periodic components from the time series and SSA method helps eliminating the diurnal and semi- diurnal fluctuations from soil radon time series for improved correlation of seismic induced soil radon emanation.