The exchange of radon gas concentration along Manisa fault

Taşköprü, Caner; İçhedef, Mutlu; Oral, Alparslan Enes; Saç, Müslim Murat; Sözbi̇li̇r, Hasan

doi:10.1007/s10967-023-08934-0

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Preprint1

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Radon gas and geomorphic analysis as supportive tools for fault exploration: an example from the Aba South Fault basin, western Sichuan

Kang,

He,

et al. 2024

J Radioanal Nucl Chem

View full text Add to dashboard Cite

Radon gas and geomorphic analysis as supportive tools for fault exploration: an example from the Aba South Fault basin, western Sichuan

Kang,

He,

et al. 2024

J Radioanal Nucl Chem

View full text Add to dashboard Cite

Study on radon gas transport law of overlying rock layer under different geological conditions of coal spontaneous combustion

Dong,

Zhou,

Zhang

et al. 2024

J Radioanal Nucl Chem

View full text Add to dashboard Cite

Analyzing Temporal Variations in Radon Concentrations: Identifying Trends and Changes

Ichedef,

Sapmaz,

Taşköprü

2024

Preprint

Self Cite

View full text Add to dashboard Cite

Radon is a well-known precursor for geodynamic events such as earthquakes and volcanic tremors. Radon concentration variations in soil gas have been monitored worldwide, and extreme radon values have been identified as radon anomalies associated with geodynamic events. A radon time series contains many noise signals, primarily based on meteorological effects. Therefore, detecting anomalies from values outside the mean plus a few standard deviations or from values outside the average distribution threshold may not always yield good results. Instead of analyzing specific radon anomalies, an alternative method can be used to analyze the trend changes in the radon time series. This study examines locally estimated scatterplot smoothing (LOESS) to identify changes in the trend of the radon time series. During the two-year period of measurements, two separate groups with radon concentration anomalies and anomaly mechanisms were identified. In the first group, radon increases before the earthquake and decreases after the earthquake, while in the second group it shows the opposite behavior.

show abstract

The exchange of radon gas concentration along Manisa fault

Cited by 3 publications

References 22 publications

Radon gas and geomorphic analysis as supportive tools for fault exploration: an example from the Aba South Fault basin, western Sichuan

Radon gas and geomorphic analysis as supportive tools for fault exploration: an example from the Aba South Fault basin, western Sichuan

Study on radon gas transport law of overlying rock layer under different geological conditions of coal spontaneous combustion

Analyzing Temporal Variations in Radon Concentrations: Identifying Trends and Changes

Contact Info

Product

Resources

About