Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1195
Authors: Balasco, M.* 
Chianese, D.* 
Di Bello, G.* 
Gallipoli, M. R.* 
Lapenna, V.* 
Title: A new multiparametric geophysicalstation to detect self-potentialand seismometric signals at Tito site(Southern Italy)
Issue Date: Apr-2001
Series/Report no.: 2/44 (2001)
URI: http://hdl.handle.net/2122/1195
Keywords: self-potential signal
earthquake
extreme events
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.07. Instruments and techniques 
Abstract: n this work we present the main features of a new multiparametric station able to jointly detect self-potential and seismometric signals in a seismic active area of Southern Italy. The new station has been designed and installed at the Tito Laboratories of National Research Council (Italy) that are located in the Southern Apennines, one of the most tectonically active areas of the whole Mediterranean. It combines advanced technologies for data acquisition with robust statistical techniques to pick out extreme events from self-potential recordings. The completely automatic station is equipped with electrical and seismometric sensors (16 channels, A/D 24 bit, sampling rate of 0.25 Hz, range dynamics of 133 dB). After a preliminary filtering procedure, mainly devoted to removing any influence of meteo-climatic conditions and/or cultural electrical noise, we evaluated the performance of the new monitoring station investigating the possible correlation between anomalous patterns of the self-potential signals and local seismic activity. Objective criteria and robust statistical tools have been applied to identify extreme events in electrical measurements and to select the earthquakes that may be responsible for strain effects at the measuring point. The short period of the measuring activity does not allow us to give firm conclusions, however the first results encourage us to continue the monitoring activity by increasing the number of remote stations and improving the use of statistical packages for data processing. We identified a well based monitoring strategy that in the near future could be useful to better understand the possible correlation between anomalous self-potential signals and local seismic activity.
Appears in Collections:Annals of Geophysics

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