2017
DOI: 10.1016/j.geothermics.2016.01.003
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Electric potential anomaly induced by humid air convection within Piton de La Fournaise volcano, La Réunion Island

Abstract: a b s t r a c tSelf potential (SP) anomalies over Piton de La Fournaise volcano (La Réunion Island) are generally inter-preted as resulting from meteoritic water porous flow. However, there is no clear evidence that the subsurface is permanently saturated. Recently, a convective subsurface airflow has been evidenced within a quiescent cone at Piton de La Fournaise (Formica Leo). SP and thermal anomalies are reported on the unsaturated edifice and are seen to be correlated. It is proposed that the SP signal is … Show more

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Cited by 9 publications
(10 citation statements)
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“…This methodolody has already been successfully used in some of our works for hydrogeological applications from field works and satellite data (Antoine et al (2009), Antoine et al (2017), Lopez et al (2016)).…”
Section: Tir Surveymentioning
confidence: 99%
“…This methodolody has already been successfully used in some of our works for hydrogeological applications from field works and satellite data (Antoine et al (2009), Antoine et al (2017), Lopez et al (2016)).…”
Section: Tir Surveymentioning
confidence: 99%
“…Recently, Ref. [60] surveyed the Piton de la Fournaise volcano (La Réunion Island, France) using self-potential, resistivity, GPR and microgravimetric methods to unravel the air convection and associated thermal field inside the volcano. These works are only a sample among many others that can be found in the literature that primarily focus on the characterization of geothermal and volcanic systems up to several hundreds or even thousands of metres depth.…”
Section: Discussionmentioning
confidence: 99%
“…Mapping thermal anomalies, fluid movements, and quantifying the associated heat fluxes is commonly performed through IR thermal imaging at large scale by satellites (Bato et al 2016), by helicopters or in situ by hand-held ground IR cameras (Harris et al 2005;Antoine et al 2017) and more recently on UAVs (e.g., Mori et al 2016;Thiele et al 2017). Following variations in the distribution and intensity of thermal anomalies thanks to the repetition of IR measurements enables to quickly and evenly image active areas: volcanic vents (e.g., Harris and Stevenson 1997), domes (e.g., Calvari et al 2003;James et al 2006) or even fumarolic zones (e.g., Harris and Baloga 2009).…”
Section: Quantifying Heat Flux Thermal Anomalies and Mass Transfers mentioning
confidence: 99%