Determination of Relationships Between Radon Gas (222Rn), Earthquake and Meteorological Parameters with Kriging and Regression Methods

Year 2018, Volume: 1 Issue: 1, 36 - 44, 06.08.2018

Miraç Kamışlıoğlu

Abstract

Abstract. Radon gas (²²²Rn) is very important
earthquake sign. ²²²Rn concentration emitted from soil shows that
nonlinear feature. Therefore, it is necessary to understand the change
determine of ²²²Rn propagation characteristic. In this study, a new
prediction algorithm was obtained for explaining the non-linear behaviors of ²²²Rn
concentrations from soil. On the other hand, Kriging method estimate unmeasured
points using regional variability. Estimated results were compared with the
regression method. We used Mean Absolute Error (MAE), Mean Absolute Percentage
Error (MAPE), Root Mean Square Error (RMSE) and R² coefficient of
determination. The results indicate that the nonlinear dynamical approximation
is suitable for characterization and prediction of the ²²²Rn
concentration. In this paper, soil ²²²Rn gas measurements were applicated
to Yakapınar Region in the East Anatolian Fault Zone.

Keywords

Kriging Methods, Multiple Regression Analysis, Radon, Estimates

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