Abstract

We present the results of a hydrogeochemical survey of the Bagni di Lucca area, a thermal district in the Serchio Valley, one of the areas of highest seismic risk in Tuscany, Italy. The aim of the survey was to identify a suitable site to be monitored for geochemical precursors of earthquakes. Based on hydrogeological and geochemical features, the Bernabò spring emerged as a proper candidate site for the installation and testing of an automatic monitoring station equipped with specific sensors for the continuous measurement of selected physical-chemical parameters (temperature, pH, electrical conductivity, redox potential).

Highlights

  • In order to study the chemical variations possibly related to the deep processes in the preparatory phases of the seismic events [e.g. 4], springs/wells discharging fluids representative of deep-seated circuits were selected in correspondence to the main neotectonic structures of the region

  • We present the results of the hydrogeochemical survey carried out in the Bagni di Lucca area, a thermal district in the Serchio valley where more than 40 thermal and cold springs emerge in a restricted area of about 3 km2

  • With an average discharge temperature of ~41.2 °C, the Bernabò spring was selected in the Bagni di Lucca area as a suitable suite to investigate hydrogeochemical precursory of seismic phenomena

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Summary

Introduction

In order to study the chemical variations possibly related to the deep processes in the preparatory phases of the seismic events [e.g. 4], springs/wells discharging fluids representative of deep-seated circuits were selected in correspondence to the main neotectonic structures of the region. In this manuscript, we present the results of the hydrogeochemical survey carried out in the Bagni di Lucca area, a thermal district in the Serchio valley where more than 40 thermal and cold springs emerge in a restricted area of about 3 km. Periodic water sampling was done on a monthly basis, whereas the continuous monitoring was carried out every two minutes by an automated station equipped with parameter-specific sensors, to detect even signal variations occurring over very short time intervals

Geological and hydrogeological setting
Material and methods
Hydrogeochemical results and discussion
Conclusions
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