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  5. Correlation between small earthquakes and CO2 anomalies in spring waters: a statistical experiment on the probability of seismic occurrence
 
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Correlation between small earthquakes and CO2 anomalies in spring waters: a statistical experiment on the probability of seismic occurrence

Author(s)
Fidani, Cristiano  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia  
Gherardi, Fabrizio  
Facca, Gianluca  
Pierotti, Lisa  
Language
English
Obiettivo Specifico
OST5 Verso un nuovo Monitoraggio
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Frontiers in Earth Science  
Issue/vol(year)
/11 (2023)
ISSN
2296-6463
Publisher
Frontiers S.A.
Pages (printed)
1128949
Date Issued
July 17, 2023
DOI
10.3389/feart.2023.1128949
URI
https://www.earth-prints.org/handle/2122/17065
Subjects
04.06. Seismology  
03.02. Hydrology  
05.08. Risk  
05.06. Methods  
Subjects

Dissolved carbon diox...

small earthquakes

correlation

conditional probabili...

Abstract
We correlated carbon dioxide (CO2) time series detected at the Gallicano site in Tuscany, Italy, with low-magnitude earthquakes occurred in the surrounding area between 2017 and 2021. The CO2 irregular component distribution was analyzed by a Pearson type VII fit, and its cumulate probability by the Gauss’s hypergeometric function, to statistically evidence anomalous fluctuations. We calculated the Matthews correlation between gas concentrations and low-magnitude earthquakes by defining a binary occurrence of CO2 anomalies and seismic events. A positive correlation was highlighted by a time lag between the digital series, which resulted in CO2 anomaly detections ahead of the earthquake time of two days. The correlated earthquakes were mainshocks of local magnitude 1.2 to 3.6, with epicenters within 40 km from the Gallicano site. Correlations among rainfalls, CO2 concentrations and earthquakes were also considered, showing that only few rainfall events were followed by a CO2 anomaly, mostly a day late.
Type
article
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feart-11-1128949.pdf

Description
Open Access Published Article
Size

2.92 MB

Format

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Checksum (MD5)

0e6e140c4ad8b381196283b4d4ca55c7

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