The use of chaotic approaches for the nonlinear analysis of soil radon gas (222Rn) known as an earthquake precursor: finite ımpulse response (FIR) application

Abstract

In this study, the different chaotic methodologies were applied to identify possible chaotic behaviours of soil Radon gas (222Rn) and related earthquake magnitudes. Relations between magnitudes of earthquakes and the 222Rn concentrations were generally nonlinear; therefore, determining the physical behaviours of 222Rn (t1/2=3.82 days) is important. For all statistical analyses, 29,573 soil 222Rn data were used. In order to showed that the non-linear relationship between 222Rn concentrations and earthquake magnitudes used Finite Impulse Response (FIR) filters including Lyapunov Exponents and Power Spectrum Analyses. In addition, signal-processing techniques were used to show that 222Rn had non-linear behaviour.