Statistical Analysis of Radon Time Series Data from San-Jie Monitoring Station in Northern Taiwan

Statistical Analysis of Radon Time Series Data from San-Jie Monitoring Station in Northern Taiwan

In this study, we statistically examined soil-gas radon time series data from San-Jie monitoring station in northern Taiwan. Pearson correlation method was used to find correlation of radon data with temperature, pressure, humidity, and rainfall. The hourly radon time series data was decomposed into three component series (seasonal, trend, and random) to identify authentic anomalous values. Irregular patterns in hourly and residual radon data could be associated with earthquake events and rainfall. Our preliminary results show that this method is helpful in identifying anomalous radon values, which are suppressed by rainfall or other meteorological parameters.