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Chaotic correlation dimension analysis of Rn-222 gas measurements received from soil

   Kamislioglu, Mirac

Time series obtained from dynamic system must be examined to learn about the variable parameters of a dynamic system. Chaotic time series analysis is very advantageous signal processing methods. These methods are used to determine the nonlinear behaviour of dynamic system. In this study, nonlinear characteristic of Rn-222, which is a radioactive gas, was examined with correlation dimension method. Nonlinear analyses methods are useful for analyses of complex dynamic system behaviour. Correlation dimension analysis is most used chaotic analysis methods. Chaotic time series analyses applications based on 35,136 measurement data from the NurdagA +/- region in Turkey. In this study, the nonlinear analysis techniques are applied to recorded data for the year 2007 and the persistent Rn-222 measurements are received at 15-min times for 12 months in regions. Chaotic correlation dimension analysis results for Rn-222 data was have seen chaotic properties.

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