English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The analysis of complex signals associated to geoelectric activity is important not only for earthquake prognosis but also for understanding non linear processes related to earthquake preparation. Previous studies have reported alterations, such as the emergence of correlated dynamics in geoelectric potentials prior to an important earthquake (EQ). One important feature of geoelectric signals is the absence of regularity patterns with fluctuations apparently influenced by noise. In past decades, earthquake prediction methods have attracted the attention of researchers from different areas of science. The search for effective seismic precursors has not been successful. However, despite some pessimism, in many seismically actives zones around the world there exist research programs for the study of possible precursory phenomena of earthquakes(Cicerone et al., 2009; Hayakawa, 1999; Hayakawa & Molchanov, 2002; Lomnitz, 1990; Telesca & M., 2005; Uyeda et al., 2000; Varotsos et al., 2003a;b;c; 2004; 2005). In particular, one of the techniques used in the search of earthquake precursors since more than three decades ago consists in monitoring the so-called electric self-potential field. The main motivation to explore this kind of signals is that it is expected that before the occurrence of an earthquake (Varotsos, 2005), the stress (pressure) gradually varies in the focal area, which affects various physical properties, for example the static dielectric constant (Varotsos, 1980; 1978). In addition, this stress variation may change the relaxation time for the orientation of the electric dipoles formed due to lattice defects (Lazaridou et al., 1985). It may happen that, when the stress (pressure) reaches a critical value (Varotsos & Alexopoulos, 1984b), these electric dipoles exhibit a cooperative orientation (collective organization), thus leading to emission of transient electric signals termed Seismic Electric Signals, SES (Uyeda et al., 2000; Varotsos & Alexopoulos, 1984a). This generation mechanism of signal emission is named pressure stimulated polarization currents (PSPC) (Varotsos & Alexopoulos, 1986). It is expected that precursory electric signals associated with large earthquakes should exhibit anomalous changes and, in some cases, fractal complex organization (Varotsos, 2005; Varotsos et al., 2003c; 2004). Additionally, several other physical mechanisms have been proposed as possible causes of electromagnetic (EM) precursory signals before EQ’s, such as electrokinetic effects (EK) (Haartsen & Pride, 1997; Ishido & Mizutani, 1981; Mizutani et al., 1976), piezoelectric effects (PE) (Gershenzon et al., 14

Some Complexity Studies of Electroseismic Signals from Mexican Subduction Zone