Small-scale spatial variability of soil CO2 flux: Implication for monitoring strategy

Boudoire, Guillaume; Finizola, Anthony; Muro, Andréa Di; Peltier, Aline; Liuzzo, Marco; Grassa, Fausto; Delcher, Eric; Brunet, Christophe; Boissier, Patrice; Chaput, Marie; Ferrazzini, Valérie; Gurrieri, Sergio

doi:10.1016/j.jvolgeores.2018.10.001

Cited by 13 publications

(15 citation statements)

References 101 publications

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“…The origin of the high frequency in the ∆SP signal Presses universitaires de �rasbourg recorded between the two campaigns may be the result of large SP differences or cm-scale spatial SP variability. Indeed, as shown by Boudoire et al [2018], changing the electrode position by a few centimeters between two measurements causes large SP variations related to soil heterogeneities at very small scale. During the March 27th and 30th measurements, the electrode may not have been positioned precisely at the same place near the benchmark, causing most of the recorded high frequency signal.…”

Section: Discussionmentioning

confidence: 94%

Where does a volcano break? Using self-potential reiteration to forecast the precise location of major destructive events on active volcanoes: the case study of the Piton de la Fournaise 2007 caldera collapse

Chaput¹,

Finizola²,

Peltier³

et al. 2019

Volcanica

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In April 2007, the Dolomieu caldera collapse was one of the most outstanding events of the last few decades at Piton de la Fournaise volcano. Forecasting the occurrence of such a destructive event is difficult but since then, the development of tools and monitoring networks has improved our knowledge of the dynamics of volcano instability. However, the precise location of volcano failure is still hard to constrain. In this paper, we show that reiteration of self-potential (SP) measurements taken at a one meter step-size along a 440-m-long profile prior to caldera collapse brings valuable insights on the most instable areas around the Dolomieu crater. SP signal dynamic reveals information not visible on one single SP acquisition. In particular, the SP dynamic highlights the presence of low cohesion/low strength materials at depth despite a lack of surface expression. Our survey at Piton de la Fournaise showed that preferential failure area can be precisely identified, at the meter scale. These results highlight the relevance of SP reiteration measurements as a tool for locating instabilities in both volcanic and non-volcanic environments.

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Section: Discussionmentioning

confidence: 94%

Where does a volcano break? Using self-potential reiteration to forecast the precise location of major destructive events on active volcanoes: the case study of the Piton de la Fournaise 2007 caldera collapse

Chaput¹,

Finizola²,

Peltier³

et al. 2019

Volcanica

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“…On seismically and volcanically active areas like the Comoros, soil CO 2 emissions have been investigated in order to identify hidden tectonic structures driving fluid emissions to the surface (e.g., Bonforte et al., 2013; Boudoire et al., 2017; Giammanco et al., 2006; Gurrieri et al., 2008; Irwin & Barnes, 1980; Liuzzo et al., 2013). In volcanic tropical settings like the Comoros, the presence of significant fraction of soil CO 2 emissions can also be ascribed to biogenic activity, which may be mixed with gas originating from magmatic sources and whose relative proportion may evolve in time as affected by seasonal effects and the evolution of the seismic and volcanic activity (e.g., Boudoire, Finizola, et al., 2018; Chiodini et al., 2008; Liuzzo et al., 2015).…”

Section: Discussionmentioning

confidence: 99%

Gas Geochemistry at Grande Comore and Mayotte Volcanic Islands (Comoros Archipelago), Indian Ocean

Liuzzo

Muro

Rizzo

et al. 2021

Geochem Geophys Geosyst

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 Map of the spatial distribution of ground CO2 emissions and its isotopic characteristics in both islands Grande Comore and Mayotte  Geochemical characterisation of fumarolic and hydrothermal gases in terms of both primary component species and isotopic characteristics  Correlation between the variability of geochemical tracers and the new submarine volcano off Mayotte and its implications for the risk to the island's inhabitants

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“…Indeed, the SP method suffers from a series of limitations associated with environmental factors; for example, poor coupling of the electrodes with the ground, the presence of tree roots, or the biological activity of ants around the electrodes all can disrupt the signal. Furthermore, small-scale heterogeneities of the ground can induce significant differences in the measured SP values when moving the electrode position around by a few centimeters (Boudoire et al, 2018). It is important to be aware of the instrumentation limitations and potential sources of uncertainty in the SP data, such that one can do their very best during data acquisition to minimize these influences (e.g., ensure good coupling with the ground).…”

Section: Instrumentation Developmentsmentioning

confidence: 99%

A practical approach for self-potential data acquisition, processing, and visualization

2021

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We propose a comprehensive methodology for the acquisition and processing of self-potential (SP) data, as well as some keys to the interpretation of the results. The wide applicability of the SP method, and its low cost, make it a popular method for use in a variety of natural environments. Despite its versatility and the fact that various published journal papers describe the method and its applications, we believe that there is an important need for a dedicated, peer-reviewed SP acquisition, processing and visualization/interpretation paper in the scientific literature. We identified a great interest from the scientific community for such a journal paper as a guide for both existing and new practitioners with their SP survey design, data acquisition, robust processing, and initial interpretation steps. A step-by-step methodology is proposed here for SP data acquisition and processing, combined with practical guidance for the interpretation of collected and processed SP data, including a discussion of common errors and typical sources of uncertainty. The presented examples are based on studies in volcanic environments (e.g. hydrothermal systems), however the processing steps and methodology are fully applicable and transferable across disciplines to SP data acquired in any environment, and for a wide variety of applications. After a short overview of the field acquisition method and the low-cost equipment, the reference and closure corrections, their meaning for the SP signal, and their effect on the dataset are detailed and exemplified. The benefits of interpolating SP data in two steps is discussed. Combining map visualization, SP vs distance, and SP vs elevation graphs appears as a highly effective strategy to interpret the signal in terms of hydrogeological and hydrothermal domains, and to highlight structural limits in volcanic contexts as well as in other environments.

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Small-scale spatial variability of soil CO2 flux: Implication for monitoring strategy

Cited by 13 publications

References 101 publications

Where does a volcano break? Using self-potential reiteration to forecast the precise location of major destructive events on active volcanoes: the case study of the Piton de la Fournaise 2007 caldera collapse

Where does a volcano break? Using self-potential reiteration to forecast the precise location of major destructive events on active volcanoes: the case study of the Piton de la Fournaise 2007 caldera collapse

Gas Geochemistry at Grande Comore and Mayotte Volcanic Islands (Comoros Archipelago), Indian Ocean

A practical approach for self-potential data acquisition, processing, and visualization

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