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

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

References

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