1. Tracking dike propagation leading to the 2018 Kīlauea eruption
- Author
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Paul G. Okubo, Olivier Lengliné, Zacharie Duputel, Sismologie (IPGS) (IPGS-Sismologie), Institut de physique du globe de Strasbourg (IPGS), and Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Dike ,geography ,geography.geographical_feature_category ,Physical model ,010504 meteorology & atmospheric sciences ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,Magma chamber ,Induced seismicity ,010502 geochemistry & geophysics ,01 natural sciences ,Geophysics ,Impact crater ,Volcano ,Space and Planetary Science ,Geochemistry and Petrology ,Magma ,Earth and Planetary Sciences (miscellaneous) ,[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanology ,Rift zone ,Seismology ,Geology ,0105 earth and related environmental sciences - Abstract
International audience; In May 2018, a major eruption occurred in the lower East Rift Zone of the Kīlauea volcano. The eruption started with the collapse of the Pu'u 'Ō'ō crater followed by a large downrift dike intrusion for more than 20 km in a well instrumented region. This large volcanic event is a rare opportunity to infer the dynamics of magma transfer that is often difficult to capture. In this study, we use seismological records to infer the migration of the dike. We detect, pick and locate more than 6000 earthquakes during the course of the magma intrusion. Using these locations together with near-field seismic amplitudes, we can precisely reconstruct the progression of the dike over time. We show that this migration is consistent with a logarithmic model of dike growth connected to a feeding magma chamber. The decrease of pressure inside the reservoir is also consistent with the dike propagation model derived from our observations. This work encourages real time monitoring of magma intrusions from the combination of seismological data and physical models.
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