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

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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