Results 1 to 10 of about 498 (196)

Near-surface magma flow instability drives cyclic lava fountaining at Fagradalsfjall, Iceland [PDF]

open access: goldNature Communications, 2023
Lava fountains are a common manifestation of basaltic volcanism. While magma degassing plays a clear key role in their generation, the controls on their duration and intermittency are only partially understood, not least due to the challenges of ...
Samuel Scott   +8 more
doaj   +6 more sources

Magma Budget From Lava and Tephra Volumes Erupted During the 25-26 October 2013 Lava Fountain at Mt Etna [PDF]

open access: goldFrontiers in Earth Science, 2018
Determining the volume of the various types of products of a highly frequent active volcano can be very difficult, especially if most of them are deposited on a growing volcanic cone.
Daniele Andronico   +6 more
doaj   +3 more sources

Lava fountain jet noise during the 2018 eruption of fissure 8 of Kīlauea volcano [PDF]

open access: goldFrontiers in Earth Science, 2022
Real-time monitoring is crucial to assess hazards and mitigate risks of sustained volcanic eruptions that last hours to months or more. Sustained eruptions have been shown to produce a low frequency (infrasonic) form of jet noise.
Julia E. Gestrich   +8 more
doaj   +2 more sources

Modeling the Trajectories of Ballistics in the Summit Area of Mt. Etna (Italy) during the 2020–2022 Sequence of Lava Fountains [PDF]

open access: goldGeosciences, 2023
Between 2020 and 2022, more than sixty lava fountains occurred at Mt. Etna (Italy), which formed high eruption columns rising up to 15 km above sea level (a.s.l.). During those events, several ballistics fell around the summit craters, sometimes reaching
Giorgio Costa   +4 more
doaj   +2 more sources

Infrasonic gliding reflects a rising magma column at Mount Etna (Italy) [PDF]

open access: yesScientific Reports, 2022
Infrasound is increasing applied as a tool to investigate magma dynamics at active volcanoes, especially at open-vent volcanoes, such as Mt. Etna (Italy), which are prodigious sources of infrasound. Harmonic infrasound signals have been used to constrain
Mariangela Sciotto   +5 more
doaj   +2 more sources

Comparison between Automated and Manual Detection of Lava Fountains from Fixed Monitoring Thermal Cameras at Etna Volcano, Italy [PDF]

open access: goldRemote Sensing, 2022
The Etna volcano is renowned worldwide for its extraordinary lava fountains that rise several kilometers above the vent and feed eruptive columns, then drift hundreds of kilometers away from the source.
Sonia Calvari, Giuseppe Nunnari
doaj   +2 more sources

The Relationship Between Lava Fountaining and Vent Morphology for the 2014–2015 Holuhraun Eruption, Iceland, Analyzed by Video Monitoring and Topographic Mapping

open access: goldFrontiers in Earth Science, 2018
Fissure eruptions are associated with lava fountains which often show complex distinct venting activity in pulsating form, and the development of characteristic morphological features such as scoria or spatter cones.
Tanja Witt   +4 more
doaj   +2 more sources

Tephra From the 3 March 2015 Sustained Column Related to Explosive Lava Fountain Activity at Volcán Villarrica (Chile)

open access: goldFrontiers in Earth Science, 2018
Exceptionally intense lava fountains at open conduit volcanoes are infrequent, hazardous and little-warned events. Studying their tephra falls may reveal conduit dynamics, eruption source parameters and fragmentation mechanisms.
Jorge E. Romero   +12 more
doaj   +2 more sources

Anatomy of a Paroxysmal Lava Fountain at Etna Volcano: The Case of the 12 March 2021, Episode [PDF]

open access: goldRemote Sensing, 2021
On 13 December 2020, Etna volcano entered a new eruptive phase, giving rise to a number of paroxysmal episodes involving increased Strombolian activity from the summit craters, lava fountains feeding several-km high eruptive columns and ash plumes, as ...
Sonia Calvari   +2 more
doaj   +2 more sources

Hidden patterns in volcanic seismicity: deep learning insights from Mt. Etna’s 2020–2021 activity [PDF]

open access: yesScientific Reports
Understanding the temporal evolution of volcanic activity is crucial for eruption forecasting and hazard assessment. We use an unsupervised machine learning method, Deep Embedded Clustering, to classify daily seismic spectrograms of Mount Etna between ...
Waed Abed   +9 more
doaj   +2 more sources

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