Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/1285
Authors: | Cuomo, V.* Lanfredi, M.* Lapenna, V.* Macchiato, M.* Ragosta, M.* Telesca, L.* |
Title: | Antipersistent dynamics in short time scale variability of self-potential signals | Issue Date: | Apr-2000 | Series/Report no.: | 2/43 (2000) | URI: | http://hdl.handle.net/2122/1285 | Keywords: | Fractal propeties variogram analysis antipersistence self-potential signal earthquake prediction |
Subject Classification: | 04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques | Abstract: | Time scale properties of self-potential signals are investigated through the analysis of the second order structure function (variogram), a powerful tool to investigate the spatial and temporal variability of observational data. In this work we analyse two sequences of self-potential values measured by means of a geophysical monitoring array located in a seismically active area of Southern Italy. The range of scales investigated goes from a few minutes to several days. It is shown that signal fluctuations are characterised by two time scale ranges in which self-potential variability appears to follow slightly different dynamical behaviours. Results point to the presence of fractal, non stationary features expressing a long term correlation with scaling coefficients which are the clue of stabilising mechanisms. In the scale ranges in which the series show scale invariant behaviour, self-potentials evolve like fractional Brownian motions with anticorrelated increments typical of processes regulated by negative feedback mechanisms (antipersistence). On scales below about 6 h the strength of such an antipersistence appears to be slightly greater than that observed on larger time scales where the fluctuations are less efficiently stabilised. |
Appears in Collections: | Annals of Geophysics |
Show full item record
Page view(s)
136
checked on Apr 17, 2024
Download(s) 20
403
checked on Apr 17, 2024