Magma fizz: Tremor during the Kīlauea summit reservoir decompression

Typical eruptions at Kīlauea volcano involve the evacuation of magma from the summit and/or south caldera reservoirs towards the East or Southwest rift zones. The reservoir drainage provokes the summit deflation, and on extreme occasions, such as in 2018, the summit caldera collapse. Systematically, seismic tremor, often with a particular multichromatic spectral signature characterized by frequency gliding, accompanies summit deflation episodes. In 2018, this type of continuous tremor accompanied the steady subsidence stage, whereas discrete earthquakes dominated the collapse stage. In this work, we aim to understand the source mechanism of the syn -deflation tremor of 2018. To locate the seismic source, we develop a novel machine-learning-based algorithm as an alternative to the amplitude source location technique. We use a large high-resolution catalog to resolve a composite amplitude decay function. Under these conditions, our method outperforms the traditional technique. We locate the tremor source 1 km below the eastern perimeter of the Halema‘uma‘u crater, which coincides with the position of the summit magma reservoir, as determined in many other studies. Furthermore, we model the seismic source as pressure oscillations driven by gas porous flow at the roof of the reservoir. In this model, gas accumulates temporarily in many gas pockets between the magma and the roof. Our modeling shows that the gas flux is responsible for the tremor amplitude modulations, whereas the gas pocket thickness controls the frequency variations. Beyond a critical point of depressurization, the magma cannot contribute further to the tremor oscillations via decompression-driven degassing, nor support the roof above it, resulting in rock failure. This work advances our understanding of magma-degassing dynamics and tremor generation at Kilauea volcano, and provides novel seismological techniques for volcano seismology monitoring and research. • We provide a tremor location method based on machine-learning and seismic amplitudes. • Novel method can be superior to traditional amplitude source location. • 2018 Kilauea tremor located 1 km below the eastern perimeter of Halema'uma'u crater. • Gas porous flow at the top of the reservoir can explain tremor. • Changes in flux rate and resonator geometry explain amplitude and frequency changes.

Authors

Institutions

Publication Details

Journal
Journal of Volcanology and Geothermal Research
Published
2024-08-30
DOI
https://doi.org/10.1016/j.jvolgeores.2024.108174
Citations
3
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
1.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Magma fizz: Tremor during the Kīlauea summit reservoir decompression

Leonardo van der Laat, Zack Spica, Társilo Girona, Corentin Caudron
3 citations
Journal of Volcanology and Geothermal Research
Seismic Imaging and Inversion Techniques
1.60
article

Magma fizz: Tremor during the Kīlauea summit reservoir decompression

Leonardo van der Laat, Zack Spica, Társilo Girona, Corentin Caudron
article en
3 citations

Abstract

Typical eruptions at Kīlauea volcano involve the evacuation of magma from the summit and/or south caldera reservoirs towards the East or Southwest rift zones. The reservoir drainage provokes the summit deflation, and on extreme occasions, such as in 2018, the summit caldera collapse. Systematically, seismic tremor, often with a particular multichromatic spectral signature characterized by frequency gliding, accompanies summit deflation episodes. In 2018, this type of continuous tremor accompanied the steady subsidence stage, whereas discrete earthquakes dominated the collapse stage. In this work, we aim to understand the source mechanism of the syn -deflation tremor of 2018. To locate the seismic source, we develop a novel machine-learning-based algorithm as an alternative to the amplitude source location technique. We use a large high-resolution catalog to resolve a composite amplitude decay function. Under these conditions, our method outperforms the traditional technique. We locate the tremor source 1 km below the eastern perimeter of the Halema‘uma‘u crater, which coincides with the position of the summit magma reservoir, as determined in many other studies. Furthermore, we model the seismic source as pressure oscillations driven by gas porous flow at the roof of the reservoir. In this model, gas accumulates temporarily in many gas pockets between the magma and the roof. Our modeling shows that the gas flux is responsible for the tremor amplitude modulations, whereas the gas pocket thickness controls the frequency variations. Beyond a critical point of depressurization, the magma cannot contribute further to the tremor oscillations via decompression-driven degassing, nor support the roof above it, resulting in rock failure. This work advances our understanding of magma-degassing dynamics and tremor generation at Kilauea volcano, and provides novel seismological techniques for volcano seismology monitoring and research. • We provide a tremor location method based on machine-learning and seismic amplitudes. • Novel method can be superior to traditional amplitude source location. • 2018 Kilauea tremor located 1 km below the eastern perimeter of Halema'uma'u crater. • Gas porous flow at the top of the reservoir can explain tremor. • Changes in flux rate and resonator geometry explain amplitude and frequency changes.

Journal of Volcanology and Geothermal ResearchVol. 454
Université Libre de Bruxelles (BE), University of Alaska Fairbanks (US), Universidad Nacional (CR), University of Michigan (US)
National Science Foundation, University of Michigan, Horace H. Rackham School of Graduate Studies, University of Michigan
Climate action
Openalex Percentile: Top 19%
Seismic Imaging and Inversion Techniques
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.