|Title||The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina|
Girona, T; Bato, M G; Realmuto, V J; Samsonov, S; Cardona, C;
Franco, L; Gurrola, E; Aivazis, M|
|Source||Scientific Reports vol. 10, issue 1, 11642, 2020 p. 1-15, https://doi.org/10.1038/s41598-020-67982-8 Open Access|
|Alt Series||Natural Resources Canada, Contribution Series 20200297|
|Media||paper; on-line; digital|
|File format||pdf; html|
|Lat/Long WENS|| -72.0000 -69.0000 -35.0000 -38.0000|
|Subjects||tectonics; geophysics; Nature and Environment; Science and Technology; Health and Safety; magmatism; volcanism; volcanoes; remote sensing; satellite imagery; radar methods; infrared surveys; thermal
imagery; thermal analyses; tectonic evolution; deformation; modelling; Domuyo Volcano; Methodology|
|Illustrations||location maps; geoscientific sketch maps; satellite images; time series; profiles; schematic models|
|Released||2020 07 15|
|Abstract||Silicic magmatic systems are the most dangerous volcanoes on Earth, capable of large and catastrophic eruptions, yet their low eruptive frequency makes it challenging to interpret their short-term
unrest. Here we present a decade-plus analysis that integrates, for the first time, time series of satellite interferometric synthetic aperture radar (InSAR) surface deformation and satellite thermal infrared edifice-scale surface warming at a large
silicic system: Domuyo volcano, in Argentina. We find that deformation and warming are highly correlated, and depending on the sign and lag between the time series, either shallow sealing or magma influx could drive Domuyo's ongoing inflation (~ 0.15
m/year; from an InSAR-derived tabular source, ~ 11 × 8 × 1 km; ~ 6.5 km depth; ~ 0.037 km3/year volume-change rate) and warming (0.3-0.4 °C/year). This study shows the potential that combined satellite surface deformation and edifice-scale surface
warming time series have on assessing the physical mechanisms of silicic volcanic systems and for constraining deterministic models. |
|Summary||(Plain Language Summary, not published)|
This study focuses on understanding the behavior of a dangerous volcano called Domuyo in Argentina. Silicic magmatic systems like Domuyo can have large
and catastrophic eruptions, but they don't erupt frequently, making it challenging to predict when they might erupt.
To study Domuyo, the researchers used data from satellites that measured changes on the volcano's surface. They looked at both
surface deformation and surface warming over more than a decade. What they found was that these two measurements were closely related. Depending on the direction and timing of the changes, they could tell whether the volcano was getting sealed off
near the surface or if magma was moving in.
Domuyo has been inflating at a rate of about 0.15 meters per year, and its surface temperature has been increasing by 0.3-0.4 degrees Celsius per year. By combining these measurements, the researchers
gained insights into the volcano's behavior and what might be happening beneath the surface.
Understanding how these dangerous volcanoes work is crucial for predicting and mitigating the potential impact of their eruptions, which can have
devastating consequences for nearby communities and the environment.