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.
Primary Language | English |
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Subjects | Metrology, Applied and Industrial Physics |
Journal Section | Articles |
Authors | |
Publication Date | August 6, 2018 |
Submission Date | July 27, 2018 |
Acceptance Date | July 31, 2018 |
Published in Issue | Year 2018 Volume: 1 Issue: 1 |