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| Titel |
Stochastic analysis of geo-electric field singularities as seismically correlated candidates |
| VerfasserIn |
A. Konstantaras, G. N. Fouskitakis, J. P. Makris, F. Vallianatos |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 6 ; Nr. 8, no. 6 (2008-12-18), S.1451-1462 |
| Datensatznummer |
250005916
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| Publikation (Nr.) |
 copernicus.org/nhess-8-1451-2008.pdf |
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| Zusammenfassung |
| The study of the Earth's electromagnetic field prior to the occurrence of
strong seismic events has repeatedly revealed cases where transient electric
potential anomalies, often deemed as possible earthquake precursors, were
observed on electromagnetic field recordings. In an attempt to understand the
nature of such signals, several models have been proposed based upon the
exhibited characteristics of the observed anomalies, often supported by
different mathematical models simulating possible generation mechanisms. This
paper discusses a candidate Electric Earthquake Precursor (EEP) signal,
accompanying the Kythira Mw=6.9 earthquake in Greece (occurred on
8 January 2006). Neuro-Fuzzy along with stochastic models are
currently incorporated for the modelling and analysis of the recorded Earth's
electric field. The results of the study indicate that the Neuro-Fuzzy model
treats the observed possible EEP signal as an external additive component to
the recorded Earth's electric field, while the stochastic TARMA models
accurately represent the recorded electric signals in both the time and the
frequency domains. The complementary findings of both methodologies might
potentially contribute to the future development of a more accurate and
generalized framework for the efficient recognition and characterization of
possible EEP's. |
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