Lapenna, V.

This work explores three years of geochemical signals recorded by Pieschi station (Southern Italy). The measuring station is located in a thermal spring located in the Southern Apennines Chain, one of the most seismically active areas of the Mediterranean region. The spring is located close to a geophysical monitoring network installed in 2001 by IMAA-CNR. The probe is able to record temperature and water conductivity with a sampling rate of 10 min. From November 2001 to February 2005 several anomalous variations of water conductivity were recorded. Correlation analysis with selected local earthquakes was carried out to identify events inducing strain effects in the investigated area.

The Val d Agri area is well-known for oil exploration. An old 500 m deep exploration well in the northern part of this area has been used for long-term hydrogeochemical investigations. The well is characterized by a discharge of about 500 L/min of thermal water (27.8°C) and a simultaneous methane gas emission of about 200 L/min. Gas analyses gave evidence that the methane come from a multiple deep reservoir. Continuous records of gas emission showed some anomalous variations occurred during the past three years. The gas flux anomalies were in a distinctive coincidence with self-potential anomalies of one station close to the hydrogeochemical station. The present paper describes the interpretation of these anomalies in relation to the geodynamic activity in the area.

The Normalized Wavelet Cross-Correlation Function (NWCCF) was used to study correlations between the series of extreme events in self-potential data and earthquakes, both modelled as stochastic point processes. This method gives objective results, robust to the presence of nonstationarities that often affect observational time series. Furthermore, the NWCCF identifies the timescales involved in the cross-correlated behaviour between two point processes. In particular, we analyzed the cross-correlation between the sequence of extreme events in selfpotential data measured at the monitoring station Tito, located in a seismic area of Southern Italy, and the series of earthquakes which occurred in the same area during 2001. To evaluate the influence of rain on the dynamics of geoelectrical variations, we applied the same approach between the selected extreme values and the rain data. We find that the anomalous geoelectrical values seem to cross-correlate with the rain at short and intermediate timescales (t< 500 h), while they significantly cross-correlate only with earthquakes (M = 2.5) at long timescales (t> 500 h).