Thermal evolution of the Crater Lake of Copahue Volcano with ASTER during the last quiescence period between 2000 and 2012 eruptions

Candela-Becerra, Leily Johanna; Toyos, Guillermo; Suárez-Herrera, César Augusto; Castro-Godoy, Silvia; Agusto, Mariano

doi:10.1016/j.jvolgeores.2019.106752

Cited by 10 publications

(4 citation statements)

References 66 publications

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“…At left, the geotectonic setting of Southern Volcanic Zone (SVZ) and Austral Volcanic Zone (AVZ). At right, the map locates the active crater, the seismic station (CNA), and the main geothermal areas low-energetic phreatic and phreatomagmatic eruptive pulses (Caselli et al 2016;Hantusch et al 2021a), continuous changes in the volume, temperature, and chemical composition of the crater lake (Agusto et al 2017;Candela-Becerra et al 2020), high degassing rates (Tamburello et al 2015), and a continuous inflationary processes (Velez et al 2016;Lundgren et al 2017).…”

Section: Copahue Volcano and Seismic Datamentioning

confidence: 99%

Long-duration seismicity and their relation to Copahue volcano unrest

Melchor

Almendros

Hantusch

et al. 2022

Earth Planets Space

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Understanding seismic tremor wavefields can shed light on the complex functioning of a volcanic system and, thus, improve volcano monitoring systems. Usually, several seismic stations are required to detect, characterize, and locate volcanic tremors, which can be difficult in remote areas or low-income countries. In these cases, alternative techniques have to be used. Here, we apply a data-reduction approach based on the analysis of three-component seismic data from two co-located stations operating in different times to detect and analyze long-duration tremors. We characterize the spectral content and the polarization of 355 long-duration tremors recorded by a seismic sensor located 9.5 km SE from the active vent of Copahue volcano in the period 2012–2016 and 2018–2019. We classified them as narrow- (NB) and broad-band (BB) tremors according to their spectral content. Several parameters describe the characteristic peaks composing each NB episode: polarization degree, rectilinearity, horizontal azimuth, vertical incidence. Moreover, we propose two coefficients $$C_P$$ C P and $$C_L$$ C L for describing to what extent the wavefield is polarized. For BB episodes, we extend these attributes and express them as a function of frequency. We compare the occurrence of NB and BB episodes with the volcanic activity (including the level of the crater lake, deformation, temperature, and explosive activity) to get insights into their mechanisms. This comparison suggests that the wavefield of NB tremors becomes more linearly polarized during eruptive episodes, but does not provide any specific relationship between the tremor frequency and volcanic activity. On the other hand, BB tremors show a seasonal behavior that would be related to the activity of the shallow hydrothermal system. Graphical Abstract

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Section: Copahue Volcano and Seismic Datamentioning

confidence: 99%

Long-duration seismicity and their relation to Copahue volcano unrest

Melchor

Almendros

Hantusch

et al. 2022

Earth Planets Space

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“…Active volcanic sites have also been of concern on regard of combining more than one extreme characteristics. Some of these volcanoes have a lake-crater that is the super cial expression of volcanic activity in the upper part of complex magmatic-hydrothermal systems [2]. This is the case of the active volcano El Chichón (17.36 ° N, 93.23 ° W; 1100 m above mean sea level, MAMSL) which is a geothermal system located in the northwest of the State of Chiapas, Mexico with a crater-lake formed after the last eruptive process in 1982.…”

Section: Introductionmentioning

confidence: 99%

Metagenomic and metabolic analyses of poly-extreme microbiome from an active crater volcano lake

Peña-Ocaña

Ovando-Ovando

Puente-Sánchez

et al. 2022

Environmental Research

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Background: El Chichón volcano is one of the most active volcanoes in Mexico. Previous studies have described the poly-extreme conditions of the lake crater but its bacterial composition and the functional features of the complete microbiome have not been characterized yet.Methods: This study integrated two approaches to explain the microbiology diversity and abundance, one focused on the environmental genomic potential by metagenomics approach, and other culturomics of enrichment of bacteria and archaea. The microbial diversity of the anaerobic consortia cultivated in was carried out by metabarcoding analysis, the metabolic capacity by metabolomics uxes of carbon and enzymologic techniques for the analysis of sulfate reduction in laboratory-grown prokaryotic cells.Results: This work provides new information on the taxonomic and functional diversity of the Archea representative phyla Crenarchaeota and Euryarchaeota as well as the phyla Thermotogales and Aqui cae for Bacteria. Through the analysis of microbial consortia cultivation and the genetic information collected from the natural environment sampling, metabolic interactions were identi ed between the microorganisms that support the life of the microbiome under multi-extreme conditions. A close relationship is proposed between the cycles of carbon and sulfur in an active volcano.Conclusions: This research contributes to the understanding of microbial metabolism under extreme conditions and potential knowledge of "microbial dark matter" that can be applied in biotechnological processes and evolutionary studies.

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“…Prior to an eruption, increases/decreases in lake volume have occurred (Barberi et al, 1992;Werner et al, 2008;Fournier et al, 2009Fournier et al, , 2011Christenson et al, 2017), which have been interpreted to reflect changes in the mass flux and enthalpy of fluid emitted from the lake bottom (Terada and Hashimoto, 2017). Monitoring the surface water temperature of volcanic lakes, which is a simple remote measurement by infrared thermometry, is a key observation for monitoring volcanic activity (Oppenheimer, 1997;Lewicki et al, 2016;Cigolini et al, 2018;Candela-Becerra et al, 2020). In addition, regular sampling of lake water has been performed at many volcanoes, including Ruapehu (Giggenbach and Glover, 1975;Hurst et al, 1991;Christenson, 2000), Kusatsu-Shirane (Ohba et al, 1994(Ohba et al, , 2008, Poás (Rowe et al, 1992;Martínez et al, 2000;Rouwet et al, 2017), Kawah Ijen (van Hinsberg et al, 2017), Copahue (Agusto et al, 2017), and crater lakes in Mexico (Armienta et al, 2000;Rouwet et al, 2008;Peiffer and Taran, 2013;Peiffer et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Temporal Changes in Subaqueous Hydrothermal Activity in Active Crater Lakes During Unrest Based on a Time-Series of Lake Water Chemistry

2022

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Regular sampling of lake water has been performed at many volcanoes to assess the state of volcanic activity. However, it is not clear whether the absolute concentrations or, instead, rate of changes in concentrations are more suitable for such assessments. In this study, we show that temporal changes in concentrations of an element in lake water are described by a simple differential equation, assuming changes in lake volume and chemical processes are negligible. The time constants (63% response time for changes in the chemical concentration in lake water) have a wide range varying between 20 and 1,000 days for the studied volcanoes in Japan, meaning it takes a long time to assess volcanic activity based on the absolute concentration of an element. In order to assess the volcanic activity in a shorter time period, based on a time-series of lake element concentration data, we developed a numerical model to calculate temporal changes in the steady-state concentration, which is proportional to the elemental concentrations of the bulk hydrothermal fluid injected from subaqueous fumaroles and hot springs. We applied our method to Yugama crater lake at Kusatsu–Shirane volcano, Japan, and quantitatively evaluated temporal changes in the hydrothermal input from 1964 to 2020. As a result, we detected changes in the Cl concentrations of the bulk hydrothermal input that were associated with unrest including the phreatic eruption in 1976 and earthquake swarms in 1989–1992 and 2014–2020. The future concentration in the lake water can be predicted from the most recent steady-state concentrations. Comparing the predicted concentration curve with the concentration obtained from lake water samples, it is possible to quickly assess whether the concentration of the bulk hydrothermal input has increased/decreased or remained constant.

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Thermal evolution of the Crater Lake of Copahue Volcano with ASTER during the last quiescence period between 2000 and 2012 eruptions

Cited by 10 publications

References 66 publications

Long-duration seismicity and their relation to Copahue volcano unrest

Long-duration seismicity and their relation to Copahue volcano unrest

Metagenomic and metabolic analyses of poly-extreme microbiome from an active crater volcano lake

Quantitative Assessment of Temporal Changes in Subaqueous Hydrothermal Activity in Active Crater Lakes During Unrest Based on a Time-Series of Lake Water Chemistry

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