A5088568131- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- Geological and Geophysical Studies
- Planetary Science and Exploration
- Landslides and related hazards
- Methane Hydrates and Related Phenomena
- NMR spectroscopy and applications
- Underwater Acoustics Research
- Earthquake Detection and Analysis
California Institute of Technology
2022-2025
The deep magmatic architecture of the Hawaiian volcanic system is central to understanding transport magma from upper mantle individual volcanoes. We leverage advances in earthquake monitoring with learning algorithms image structures underlying a major swarm nearly 200,000 events that rapidly accelerated after 2018 Kīlauea caldera collapse. At depths 36 43 kilometers, we resolve 15-kilometers-long collection near-horizontal sheeted identify as sill complex. These sills connect lower...
SUMMARY Throughout an earthquake sequence, perturbations to the stress field may lead changes in distribution of active fault orientations. Resolving such for narrow spatiotemporal windows requires high-quality seismicity catalogues and objective techniques measure We investigate evolution orientations throughout 2019 Ridgecrest sequence using a new catalogue that captures over several years. generate this state-of-the-art workflow event detection, absolute relative relocation, moment tensor...
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in 2023, is remarkable for its multiple-fault rupture complexity and elevated aftershock productivity. We applied an automatic workflow to continuous data from 43 stations build enhanced earthquake catalog with ∼180,000 events the 3+ yr sequence 28 December 2019 1 January 2023. This contained EQTransformer (EQT) deep learning model event detection phase picking, EikoNet-Hypocenter Inversion Stein Variational...
This chapter explores the opportunities and challenges of using Artificial Intelligence (AI) Machine Learning (ML) in volcanology. It starts by introducing basic concepts AI ML. Then, it discusses current potential applications ML volcanology, including recent advances petrology, geophysics, remote sensing, ground monitoring. We highlight that can potentially have a transformative effect understanding volcanic systems, from deciphering architecture magma feeding systems pre-eruptive...
Magma supply rates from the mantle to Hawaiian volcanoes serve as an important control on eruptive behavior at surface. The Pa ̄hala Sill Complex, a collection of magma-bearing, seismogenic structures 40 km depth beneath Hawai‘i, presents opportunity elucidate interactions between stress and magma transport processes in mantle. We invert for full moment tensors sill earthquakes identify predominantly shear mechanisms with persistent tensile faulting components. Slip occurs in-plane...
Abstract Gas extraction from the Groningen gas reservoir, located in northeastern Netherlands, has led to a drop pressure and drove compaction induced seismicity. Stress-based models have shown success forecasting seismicity this particular context elsewhere, but they generally assume that earthquake clustering is negligible. To assess at Groningen, we generate an enhanced catalog using deep-learning-based workflow. We identify locate 1369 events between 2015 2022, including 660 newly...
Abstract Coseismic rotations of principal stress axes can provide insights into the strength crust, but it is unclear how common this phenomenon is. We use a nearest‐neighbor clustering algorithm to identify earthquake sequences in global ISC‐GEM catalog and regional Southern California catalog. Using an inner‐product‐based pairwise measure moment tensor similarity, we demonstrate that, both catalogs, aftershocks are less similar their respective mainshocks than foreshocks are. interpret...
The 2022 eruption at Mauna Loa, Hawai‘i, marked the first extrusive activity from volcano after 38 years of quiescence. was preceded by several seismic unrest in vicinity volcano’s summit. Characterizing structure and dynamics seismogenic features within Loa during this pre-eruptive interval may provide insights into how pre- co-eruptive processes manifest seismically volcano. In particular, extent to which seismicity be used forecast location timing future eruptions is unclear. To address...
The 2022 eruption at Mauna Loa, Hawai'i, marked the first extrusive activity from volcano after 38 years of quiescence. was preceded by several seismic unrest in vicinity volcano's summit. Characterizing structure and dynamics seismogenic features within Loa during this pre-eruptive interval may provide insights into how pre- co-eruptive processes manifest seismically volcano. In particular, extent to which seismicity be used forecast location timing future eruptions is unclear. To address...
Abstract The 2022 eruption at Mauna Loa, Hawai'i, marked the first extrusive activity from volcano after 38 years of quiescence. was preceded by several seismic unrest in vicinity volcano's summit. Characterizing structure and dynamics seismogenic features within Loa during this pre‐eruptive interval may provide insights into how pre‐ co‐eruptive processes manifest seismically volcano. In particular, extent to which seismicity be used forecast location timing future eruptions is unclear. To...
Balloon-based seismology through the study of low-frequency seismo-acoustic signals (infrasound) has gained acceptance as a viable way to seismic activity on Venus. barometers have potential detect and characterize atmospheric waves launched by venusquakes volcanic eruptions while offering substantially longer instrument lifetimes in Venus middle atmosphere, where temperature pressure are significantly more benign (0–100°C, ∼1 atm) compared surface (>460 °C, ∼90 atm). One major...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Geophysical Research Letters. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Aftershock moment tensor scatteringAuthorsJohn DylanWildingiDZachary E.RossiDSee all authors John Dylan WildingiDCorresponding Author• Submitting AuthorCalifornia Institute of...