Recent advances in earthquake seismology using machine learning

H Kubo, M Naoi, M Kano - Earth, Planets and Space, 2024 - Springer
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

The magmatic web beneath Hawai 'i

JD Wilding, W Zhu, ZE Ross, JM Jackson - Science, 2023 - science.org
The deep magmatic architecture of the Hawaiian volcanic system is central to understanding
the transport of magma from the upper mantle to the individual volcanoes. We leverage …

Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning

W Zhu, E Biondi, J Li, J Yin, ZE Ross, Z Zhan - Nature Communications, 2023 - nature.com
Abstract Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake
monitoring and subsurface imaging. However, its distinct characteristics, such as unknown …

Seismicity and magmatic system of the Changbaishan intraplate volcano in East Asia

D Yan, Y Tian, D Zhao, H Li - Journal of Geophysical Research …, 2023 - Wiley Online Library
A high‐precision earthquake catalog is made from continuous waveform data recorded at
360 portable seismographs deployed for one month in the Changbaishan‐Tianchi volcanic …

[HTML][HTML] Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW-3D database

F Lehmann, F Gatti, M Bertin… - Earth System Science …, 2024 - essd.copernicus.org
The ever-improving performances of physics-based simulations and the rapid developments
of deep learning are offering new perspectives to study earthquake-induced ground motion …

A detailed view of the 2020–2023 southwestern Puerto Rico seismic sequence with deep learning

CE Yoon, ES Cochran… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …

Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 M6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and …

X Zhao, Z **ao, W Wang, J Li, M Zhao… - Geophysical …, 2023 - Wiley Online Library
An approximate 236‐year interval in major seismic activity near the southern **anshuihe
fault terminated on 5 September 2022 until a destructive M6. 8 Luding earthquake. The …

On the use of high‐resolution and deep‐learning seismic catalogs for short‐term earthquake forecasts: Potential benefits and current limitations

S Mancini, M Segou, MJ Werner… - Journal of …, 2022 - Wiley Online Library
Enhanced earthquake catalogs provide detailed images of evolving seismic sequences.
Currently, these data sets take some time to be released but will soon become available in …

IPIML: A deep-scan earthquake detection and location workflow integrating pair-input deep learning model and migration location method

H Mohammadigheymasi, P Shi… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Optimized deep learning (DL)-based workflows can improve the efficiency and accuracy of
earthquake detection and location processes. This article introduces a six-step automated …

Real‐time detection of volcanic unrest and eruption at Axial Seamount using machine learning

K Wang, F Waldhauser, D Schaff… - Seismological …, 2024 - pubs.geoscienceworld.org
Axial Seamount, an extensively instrumented submarine volcano, lies at the intersection of
the Cobb–Eickelberg hot spot and the Juan de Fuca ridge. Since late 2014, the Ocean …