2019
DOI: 10.5194/npg-2019-37
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

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

Abstract: 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 analys… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…Weibull probability distribution indicates that the probability of an earthquake occurrence exceeds the measure up to 80% (9 days) after the precursory signal is observed (Chetia et al, 2020). Similarly, temporal variability of the soil radon emanations measured at the MPGO was scrutinized using singular spectrum analysis (SSA) (Chetia et al, 2019b). 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.…”
Section: Earthquake Precursory Studiesmentioning
confidence: 99%
“…Weibull probability distribution indicates that the probability of an earthquake occurrence exceeds the measure up to 80% (9 days) after the precursory signal is observed (Chetia et al, 2020). Similarly, temporal variability of the soil radon emanations measured at the MPGO was scrutinized using singular spectrum analysis (SSA) (Chetia et al, 2019b). 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.…”
Section: Earthquake Precursory Studiesmentioning
confidence: 99%