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

Authors : Miraç KAMIŞLIOĞLU

Pages : 36-44

View : 16 | Download : 8

Publication Date : 2018-08-06

Article Type : Conference Paper

Abstract :Abstract. Radon gas insert ignore into journalissuearticles values( 222 Rn); is very important earthquake sign. 222 Rn concentration emitted from soil shows that nonlinear feature. Therefore, it is necessary to understand the change determine of 222 Rn propagation characteristic. In this study, a new prediction algorithm was obtained for explaining the non-linear behaviors of 222 Rn 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 insert ignore into journalissuearticles values(MAE);, Mean Absolute Percentage Error insert ignore into journalissuearticles values(MAPE);, Root Mean Square Error insert ignore into journalissuearticles values(RMSE); and R 2 coefficient of determination. The results indicate that the nonlinear dynamical approximation is suitable for characterization and prediction of the 222 Rn concentration. In this paper, soil 222 Rn gas measurements were applicated to Yakapınar Region in the East Anatolian Fault Zone.
Keywords : Kriging Methods, Multiple Regression Analysis, Radon, Estimates