Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDetecting CO2 anomalies in a spring on Mt. Amiata volcano (Italy)
Anno di pubblicazione2017
FormatoElettronico
Autore/iPierotti L., Gherardi F., Facca G., Piccardi L., Moratti G.
Affiliazioni autoriConsiglio Nazionale delle Ricerche (CNR), Istituto di Geoscienze e Georisorse (IGG), Italy
Autori CNR e affiliazioni
  • LUIGI PICCARDI
  • FABRIZIO GHERARDI
  • LISA PIEROTTI
  • GIOVANNA MORATTI
  • GIANLUCA FACCA
Lingua/e
  • inglese
AbstractLocated at the south-western slope of the Mt. Amiata volcano (Tuscany, Central Italy), the Bagnore spring has been investigated for geochemical precursors of earthquakes from 2004 to 2015. Over this period, several parameters of the spring have been monitored by discrete and continuous sampling. An automatic continuous monitoring station, equipped with sensors for the measurement of temperature, pH, redox potential, electrical conductivity, CO2 and CH4 dissolved concentration, is transmitting the registered signals to the remote server in Pisa 150 km northwest of Mt. Amiata. The Bagnore spring drains a shallow, short-circuiting aquifer hosted in the volcanic rocks of the volcano. Its emergence point is located in proximity of the intersection of two major fault systems that are supposed to provide a preferential ascent path to hydrothermal gases, mainly represented by CO2(g) and H2S(g), locally rising from depth. The most evident change occurred in the registered signals over the period is represented by the sudden increase in CO2 concentration measured starting from April 2010. Along with this increase in CO2, a slight increase in water temperature and in SO4 concentration, associated to a decrease in pH, was also recorded. This trend has been interpreted as an evidence for the augmented inflow of deep gases into the shallow aquifer. The CO2 continuous signal recorded by the Bagnore automatic station has been then processed by applying multiple statistical techniques (i.e. artificial neural network analysis and Census I method) in the search for anomalies possibly related to local seismic activity. Anomalous signals have been detected starting from April 24, 2010, and the correlation with the most energetic seismic events has been tentatively proposed.
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Altro abstract-
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Pagine da161
Pagine a172
Pagine totali12
RivistaPhysics and chemistry of the earth. Parts A/B/C (Online)
Attiva dal 2002
Editore: Elsevier Science - [New York]
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 1873-5193
Titolo chiave: Physics and chemistry of the earth. Parts A/B/C (Online)
Titolo proprio: Physics and chemistry of the earth. (Online)
Numero volume della rivista98
Fascicolo della rivistaapril
DOI-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveContinuous automatic monitoring station, Mt. Amiata, Artificial neural network technique, Census I method, Earthquake geochemical precursors
Link (URL, URI)https://www.journals.elsevier.com/physics-and-chemistry-of-the-earth
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Strutture CNR
  • IGG — Istituto di geoscienze e georisorse
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD003.162.001 : GNT
Progetti Europei-
Allegati
Detecting CO2 anomalies in a spring on Mt. Amiata volcano (Italy) (documento privato )
Tipo documento: application/pdf