Robust Statistical Methods to Discriminate Extreme Events in Geoelectrical Precursory Signals: Implications with Earthquake Prediction
In this study, we propose a robust statistical method to discern anomalous patterns in geoelectrical time series measured in a seismic area of the Southern Apennine chain. First, a filtering procedure to remove seasonal effects related to meteo-climatic fluctuations was carried out. Then, we selected an autoregressive model able to describe the time fluctuations of geoelectrical signals and propose a method to obtain an objective estimate of probability of occurrence for each extreme event detected in the time series. Our applications in Southern Italy allow us to hypothesize that the ambiguity of short-term prediction is within the complicated dynamics of the physical process responsible for electrical anomalies observed on the earth’s surface.
Key wordsGeoelectrical signals run theory seismic precursors.
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- Box, G. E. P. and Jenkins G. M.: 1976, Time Series Analysis, Holden-Day, S. Francisco.Google Scholar
- Cuomo, V., Lapenna, V., Macchiato, M., and Serio, C.: 1997, Autoregressive models as a tool to discriminate chaos from randomness in geoelectrical time series: an application to earthquake prediction, Annali di Geofisica XL(2), 385–400.Google Scholar
- Di Bello, G., Lapenna, V., Satriano, C. and Tramutoli, V.: 1994, Self-potential time series analysis in a seismic area of the Southern Apennines: preliminary results, Annali di Geofisica XXXVIII(5), 1137–1148.Google Scholar
- Di Bello, G., Lapenna, V., Macchiato, M., Satriano, C., Serio, C. and Tramutoli, V.: 1996, Parametric time series analysis of geoelectrical signals: an application to earthquake forecasting in Southern Italy, Annali di Geofisica XXXIX(1), 11–21.Google Scholar
- Ekström, G.: 1994, Teleseismic analysis of the 1990 and 1991 earthquakes near Potenza, Annali di Geofisica XXXVII(6), 1591–1599.Google Scholar
- Evans Ed.: 1997a, Special Section-Assessment of schemes for earthquake prediction, Geophys. J. Int. 131.Google Scholar
- Kendall, M. and Stuart, A.: 1976, The Advanced Theory of Statistics,Vol. 3, Charles Griffin Co, p. 585.Google Scholar
- Mallet, R.: 1862, The first principle of observational seismology as developed in the report to the Royal Society of London of the expedition made by command of the Society into the interior of the Kingdom of Naples to investigate the circumstances of the great earthquake of December 1857, London ( Reprint Istituto Nazionale di Geofisica, Roma, 1987 ).Google Scholar
- Nur, A.:1972, Dilatancy pore fluids, and premonitory variatons of t p /t s travel times, Bull. Seism. Soc. Am. 62, 1217–1222.Google Scholar
- Patacca, E., Scandone, P., Bellatalla, M., Perilli, and Santini, U.: 1988, L’Appennino Meridionale: modello strutturale e palinspastica dei domini esterni, Invited paper at the 74° Congresso Soc. Geol. It., pp. 67–69.Google Scholar
- Rikitake, T.:1988, Earthquake prediction: an empirical approach, Tectonophysics 148, 195–210.Google Scholar
- Scholz, C. H.: 1990, The Mechanics of Earthquakes and Faulting, Cambridge University Press.Google Scholar
- Scholz, C. H., Syches, L. R., and Aggarwal, Y. P.: 1973, Earthquake prediction: a physical basis, Science 181, 803–810.Google Scholar
- Wyss, M. (ed.): 1991, Evaluation of Proposed Earthquake Precursors, American Geophys. Union, Washington.Google Scholar