Fractal analysis of the hourly time variability in self-potential and flow variations concomitantly measured in the Soos Nature Park (Czech Republic)

Scaling properties of self-potential and carbon dioxide flow rate data, concomitantly recorded in a CO2 degassing area at Soos, Bohemia (Czech Republic), have been investigated by means of several fractal tools. The power spectra, behaving as power law function of the frequency, show the presence of colored noise-type dynamics. The Higuchi analysis reveals the self-potential and flow signals to have the property of fractal curves. The variograms, analyzing time-scales stretching from one hour to almost 50 hours, reveal the presence of approximately three time-scaling ranges, characterized by different features in terms of persistence of the processes underlying the signals.