1998
DOI: 10.1046/j.1365-246x.1998.00502.x
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Identification of anomalous radon concentrations due to geodynamic processes by elimination of Rn variations caused by other factors

Abstract: Summary It has been suggested that temporal variations of radon (Rn) concentrations in various media may be used as a possible predictive indicator of seismic activity. However, observed Rn measurements are a function of a number of different physical processes including seismic activity. This paper describes a generalized approach to removing ‘noise components’ from the observed data to leave a residual component of radon concentration that reflects geodynamic processes at depth. The approach is demonstrated … Show more

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Cited by 31 publications
(16 citation statements)
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“…Radon contents in soils are dependent from those meteorological parameters (Finkelstein et al, 1998), as well as other gases such as CO 2 (Heinicke et al,1993) or helium (Virk and Walia, 2001). …”
Section: External Forcingmentioning
confidence: 99%
“…Radon contents in soils are dependent from those meteorological parameters (Finkelstein et al, 1998), as well as other gases such as CO 2 (Heinicke et al,1993) or helium (Virk and Walia, 2001). …”
Section: External Forcingmentioning
confidence: 99%
“…The identification of earthquake related signals in hydrogeologic and gasgeochemical time series is further complicated by the influence of the earth's tides, barometric pressure, temperature, rainfall, tectonic processes and other factors (Birchard and Libby, 1980;Sugisaki, 1981;Narasimhan et al, 1984;Igarashi and Wakita 1991;Finkelstein et al, 1998). While some of these influences can be corrected (e.g., Shapiro et al, 1985;Igarashi and Wakita, 1990;Matsumoto, 1992;Finkelstein et al, 1998), others, such as the influence of tectonic activity on the permeability of aquifers or crick patterns of the earth's crust are difficult to correct or estimate.…”
Section: Background -Earthquake Related Signalsmentioning
confidence: 99%
“…However, in the majority of such radon cases, changes in magnitude in single time-series have been reported, often large changes recorded using integrating detectors, and the majority of radon time-series analysis is reported for single time-series (e.g. Baykut et al, 2010;Bella & Plastino, 1999;Finkelstein et al, 1998). With a single time-series, recorded at a single location, there is no measure of the spatial extent of any anomaly and, to a great extent, only anomalies in magnitude can be investigated.…”
Section: Introductionmentioning
confidence: 99%