Temporal evolution of the Fogo Volcano magma storage system (Cape Verde Archipelago): a fluid inclusions perspective

Forte, Francesco Maria Lo; Aiuppa, Alessandro; Rotolo, Silvio G.; Zanon, Vittorio

doi:10.1016/j.jvolgeores.2022.107730

Cited by 8 publications

(2 citation statements)

References 78 publications

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“…However, perhaps because the H 2 O has been lost in many cases, and even with heating, quantification is challenging, the majority of fluid inclusion studies simply pick a fixed value of 𝑋 H 2 O (e.g. 0.1 for Forte et al [2023], Sandoval-Velasquez et al [2023], and Zanon et al [2024]). More recently, DeVitre and Wieser 2024 determine 𝑋 H 2 O as a function of pressure for the volcanic system of interest using melt inclusion measurements (many solubility models used to calculate saturation pressures also calculate 𝑋 H 2 O at the point of vapour saturation [e.g.…”

Section: Co 2 -H 2 O Eosmentioning

confidence: 99%

DiadFit: An open-source Python3 tool for peak fitting of Raman data from silicate melts and CO2 fluids

Wieser,

DeVitre

2024

Volcanica

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We present DiadFit—an open-source Python3 tool for efficient processing of Raman spectroscopy data collected from fluid inclusions, melt inclusions and silicate melts. DiadFit is optimized to fit the characteristic peaks from CO2 fluids (Fermi diads, hot bands, 13C), gas species such as SO2, N2, solid precipitates (e.g. carbonates), and Ne emission lines with easily tweakable background positions and peak shapes. DiadFit's peak fitting functions are used as part of a number of workflows optimized for quantification of CO2 in melt inclusion vapour bubbles and fluid inclusions. DiadFit can also convert between temperature, pressure and density using various CO2 and CO2-H2O equations of state (EOS), allowing calculation of fluid inclusion pressures (and depths in the crust), conversion of homogenization temperatures from microthermometry to CO2 density, and propagation of uncertainties associated with EOS calculations using Monte Carlo methods. There are also functions to quantify the area ratio of the silicate vs. H2O region of spectra collected on silicate glasses to determine H2O contents in glasses and melt inclusions. Documentation and worked examples are available (https://bit.ly/DiadFitRTD, https://bit.ly/DiadFitYouTube).

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Section: Co 2 -H 2 O Eosmentioning

confidence: 99%

DiadFit: An open-source Python3 tool for peak fitting of Raman data from silicate melts and CO2 fluids

Wieser,

DeVitre

2024

Volcanica

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“…FI microthermometry is often more accurate than clinopyroxene melt barometry because it can analyze various inclusions in a mineral assemblage from a single sample with a calculated uncertainty range of 30 to 60 MPa (i.e., ±1.2 to 2.7 km), over a density range from the Earth's crust to the mantle, and requires little sample preparation. FI barometry has been used to model the magmatic system of numerous volcanoes (15)(16)(17)(18)(19)(20)(21)(22)(23) but has never been applied during an eruption. An attempt in this direction was made using Raman microspectroscopy on a smaller set of FI-hosting samples collected after the Tajogaite eruption, showing good correlation with tectonic signals (24).…”

Section: Introductionmentioning

confidence: 99%

Toward a near real-time magma ascent monitoring by combined fluid inclusion barometry and ongoing seismicity

Zanon,

D’Auria,

Schiavi

et al. 2024

Sci. Adv.

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Fluid inclusion microthermometry on olivines, clinopyroxenes, and amphiboles was used during a volcanic eruption, in combination with real-time seismic data and rapid petrographic observations, for petrological monitoring purposes. By applying this approach to the study of 18 volcanic samples collected during the eruption of Tajogaite volcano on La Palma Island (Canary Islands) in 2021, changes in the magma system were identified over time and space. Magma batches with distinct petrographic and geochemical characteristics emerged from source zones whose depth progressively increased from 27 to 31 kilometers. The rise of magma of deeper origin is attested by fluid inclusions made of N 2 and CO, markers of mantle outgassing. Magma accumulation occurred over different durations at depths of 22 to 27 and 4 to 16 kilometers. Time-integrated magma ascent velocities (including ponding times) were estimated at between 0.01 and 0.1 meters per second. This method is cost-effective and quickly identifies changes in the magma system during an eruption, enhancing petrological monitoring procedures.

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São Jorge's Volcano-Tectonic Unrest in 2022: A Joint Interpretation Through GNSS and Fully Automated Seismic Analysis

Suarez,

García-Cañada,

Meletlidis

et al. 2024

Pure Appl. Geophys.

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The Azores Triple Junction offers a unique opportunity to investigate the interplay between volcanism and tectonic activity. After 60 years of quiescence in São Jorge Island, in March 2022, the island experienced a volcano-tectonic unrest, accompanied by widely felt earthquakes and surface deformation. We conducted an extensive study of this anomalous activity throughout 2022, through a purely automated analysis based on a deep-learning approach for seismic activity, combined with the processing and analysis of data from GNSS stations in the archipelago. The joint interpretation of ground deformation and seismicity suggests a failed magmatic eruption, which we have summarized in a four-stage conceptual model. The unrest began on 16 March 2022 with a period of vertical uplift that lasted for 2 days. On 19 March, the deformation reversed with a burst of seismicity that marked a rapid dike intrusion in the crust which abruptly stopped a few kilometers under the surface. Over the following weeks, the relocated seismicity suggests an intense overpressure near the Moho discontinuity and reveals, in great detail, a lateral magmatic expansion in a sill-like pattern. Finally, from the second week of April until the end of the year a decrease in seismic activity and a lack of deformation registered, indicates a decline and stabilization of the volcano-tectonic process.

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Temporal evolution of the Fogo Volcano magma storage system (Cape Verde Archipelago): a fluid inclusions perspective

Cited by 8 publications

References 78 publications

DiadFit: An open-source Python3 tool for peak fitting of Raman data from silicate melts and CO2 fluids

DiadFit: An open-source Python3 tool for peak fitting of Raman data from silicate melts and CO2 fluids

Toward a near real-time magma ascent monitoring by combined fluid inclusion barometry and ongoing seismicity

São Jorge's Volcano-Tectonic Unrest in 2022: A Joint Interpretation Through GNSS and Fully Automated Seismic Analysis

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