RADON CONCENTRATION TIME SERIES MODELING AND APPLICATION DISCUSSION
Language English Country Great Britain, England Media print
Document type Journal Article
PubMed
29045758
DOI
10.1093/rpd/ncx207
PII: 4553488
Knihovny.cz E-resources
- MeSH
- Interrupted Time Series Analysis MeSH
- Caves MeSH
- Radiation Monitoring methods MeSH
- Predictive Value of Tests MeSH
- Soil Pollutants, Radioactive analysis MeSH
- Radon analysis MeSH
- Seasons MeSH
- Earthquakes * MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
- Names of Substances
- Soil Pollutants, Radioactive MeSH
- Radon MeSH
In the year 2010 a continual radon measurement was established at Mladeč Caves in the Czech Republic using a continual radon monitor RADIM3A. In order to model radon time series in the years 2010-15, the Box-Jenkins Methodology, often used in econometrics, was applied. Because of the behavior of radon concentrations (RCs), a seasonal integrated, autoregressive moving averages model with exogenous variables (SARIMAX) has been chosen to model the measured time series. This model uses the time series seasonality, previously acquired values and delayed atmospheric parameters, to forecast RC. The developed model for RC time series is called regARIMA(5,1,3). Model residuals could be retrospectively compared with seismic evidence of local or global earthquakes, which occurred during the RCs measurement. This technique enables us to asses if continuously measured RC could serve an earthquake precursor.
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