Robust Statistical Methods to Discriminate Extreme Events in Geoelectrical Precursory Signals: Implications with Earthquake Prediction
Cuomo, V. ; Di Bello, G. ; Lapenna, V. ; Piscitelli, S. ; Telesca, I. ; Macchiato, M. ; Serio, C.
Springer
Published 2000
Springer
Published 2000
ISSN: |
1573-0840
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Keywords: |
Geoelectrical signals ; run theory ; seismic precursors
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Source: |
Springer Online Journal Archives 1860-2000
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Topics: |
Energy, Environment Protection, Nuclear Power Engineering
Geography
Geosciences
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Notes: |
Abstract In this study, we propose a robuststatistical method to discern anomalous patternsin geoelectrical time series measured in a seismicarea of the Southern Apennine chain. First, a filteringprocedure to remove seasonal effects related tometeo-climatic fluctuations was carried out.Then, we selected an autoregressive model able todescribe the time fluctuations of geoelectricalsignals and propose a method to obtain an objectiveestimate of probability of occurrence for each extremeevent detected in the time series. Our applications inSouthern Italy allow us to hypothesize that theambiguity of short-term prediction is within thecomplicated dynamics of the physical processresponsible for electrical anomalies observed on theearth's surface.
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Type of Medium: |
Electronic Resource
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URL: |