Waveform cross-correlation analysis and magnitude estimation for the 1887 Ligurian earthquake determined from magnetogram recordings. [PDF]
Tarchini G +3 more
europepmc +1 more source
Evaluating Seismic Ambient Noise Techniques for Imaging Lava Tubes on the Moon
Abstract Detecting and characterizing lava tubes is a key objective of upcoming lunar missions. While evidence for their presence exists, their precise dimensions and depths remain uncertain. This study evaluates the potential of seismic ambient noise methods, such as seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and ...
Sabrina Keil +4 more
wiley +1 more source
Stable operation of a network-based multi-algorithm earthquake early warning system: the Korea meteorological administration platform. [PDF]
Heo Y, Lim D, Cho S, Hahm I, Ahn JK.
europepmc +1 more source
Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang +3 more
wiley +1 more source
Azimuthal sensitivity and spatio-temporal decimation of data from distributed acoustic sensing on submarine cables for offshore earthquake early warning systems. [PDF]
Smith JL +6 more
europepmc +1 more source
FocoNet: Transformer‐Based Focal‐Mechanism Determination
Abstract Traditional focal‐mechanism determination primarily relies on fitting the first‐motion polarities with grid‐search algorithms. We developed a machine‐learning model, FocoNet, to include more seismic information into focal mechanism determination.
Xiaohan Song +3 more
wiley +1 more source
Seismic characterization of inland and coastal sabkhas using V<sub>P</sub>, V<sub>S</sub>, seismic anisotropy, and attenuation. [PDF]
Eleslambouly A +6 more
europepmc +1 more source
An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley +1 more source
A comprehensive geotechnical and geophysical assessment of the foundation sublayers in egypt's new administrative capital. [PDF]
Abed MA +4 more
europepmc +1 more source
GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning
Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li +5 more
wiley +1 more source

