In Search of Correlations between Geoelectrical Signals and Earthquakes in a Seismic Active Area of Southern Italy <p> HR: <span class="hr"> 0830h<br></span> AN: <span class="an"> T51E-0203 <a href="../absbook/fm03-T51E.pdf">[PDF]</a><br></span> TI: <span class="ti"> In Search of Correlations between Geoelectrical Signals and Earthquakes in a Seismic Active Area of Southern Italy <br></span> AU: <span class="au"> * Vincenzo, L <br></span> EM: <span class="em"> lapenna@imaa.cnr.it<br></span> AF: <span class="af"> Ist. di Metodologie per l'Analisi Ambientale, Zona Industriale Tito Scalo, Tito, PZ I-85050 Italy <br></span> AU: <span class="au"> Marianna, B <br></span> EM: <span class="em"> balasco@imaa.cnr.it<br></span> AF: <span class="af"> Ist. di Metodologie per l'Analisi Ambientale, Zona Industriale Tito Scalo, Tito, PZ I-85050 Italy <br></span> AU: <span class="au"> Gerardo, C <br></span> EM: <span class="em"> colangelo@imaa.cnr.it<br></span> AF: <span class="af"> Ist. di Metodologie per l'Analisi Ambientale, Zona Industriale Tito Scalo, Tito, PZ I-85050 Italy <br></span> AU: <span class="au"> Maria, M <br></span> EM: <span class="em"> macchiato@na.infn.it<br></span> AF: <span class="af"> Dip. di Scienze Fisiche, Univ. di Napoli Via Cintia, Naples, NA I-80123 Italy <br></span> AU: <span class="au"> Luciano, T <br></span> EM: <span class="em"> ltelesca@imaa.cnr.it<br></span> AF: <span class="af"> Ist. di Metodologie per l'Analisi Ambientale, Zona Industriale Tito Scalo, Tito, PZ I-85050 Italy <br></span> AB: <span class="ab"> The aim of this work is to investigate the possible correlation between electrical anomalous patterns and incoming earthquakes in a seismic active area of Southern Apennine chain (Italy). In this research field, the greatest problem is the sporadically monitoring activities in time and space. A very weak point is also the current approach to time series analysis that makes no use of robust statistical methods to discriminate extreme events from random noise. Further, the lack of objective criteria to assess the precursory character of the geophysical anomalous signals makes the short-term predictions based on them poorly reliable. Altogether these shortages concur to explain the low scientific consensus placed so far on the claimed correlation between the observed geophysical anomalies and the occurrence of earthquakes. Taking into account these considerations, in this paper we analyse the self-potential time series coming from a new geophysical monitoring network installed in a seismic active area of the Southern Apennine chain (Southern Italy). All the remote stations (Tramutola, Tito, Giuliano, Marsico Nuovo and Laterza) are equipped with multi-electrode array able to detect the time fluctuations of self-potential along two directions, N-S and E-W. The monitoring strategy combines new technologies for data acquisition with advanced statistical packages for the identification of the extreme events in geophysical time series. During the last years a very large data-base of self-potential time series has been organized and it is actually available to assess robust statistical methodologies to identify extreme events. Firstly, we have investigated the inner dynamical structure the self-potential time series and we have filtered the effects induced by climatological parameters (temperature, rainfall, etc.). In a second step, we propose robust statistical methods to pick out extreme events from background electrical noise. Finally, we compare the extreme events identified in the self-potential time series and the earthquakes sequences recorded during the past 5 years (1997-2002) in the investigated area. The results allow us to obtain only in few cases a significant correlation between sequence of extreme events in electrical signals and incoming earthquakes, the measuring period is not sufficient to perform an high number of statistical checks. However the time dynamics of self-potential signals seem to be correlate with the fluctuations of seismic cycle over long time periods. <br></span> DE: <span class="de"> 0619 Electromagnetic theory<br></span> DE: <span class="de"> 0903 Computational methods, potential fields<br></span> DE: <span class="de"> 0910 Data processing<br></span> DE: <span class="de"> 1744 Tectonophysics<br></span> DE: <span class="de"> 3250 Fractals and multifractals<br></span> SC: <span class="sc"> Tectonophysics [T]<br></span> MN: <span class="mn"> 2003 Fall Meeting<br></span></p></body></html>