Results 71 to 80 of about 1,052 (200)

Bayesian Inference of Fault Slip Heterogeneity and Overlap: Application to 2019 Ridgecrest Earthquakes and Afterslip

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Fault slip occurs in both seismic and aseismic styles with spatial variability across scales, yet non‐unique source inference limits our ability to resolve slip complexity and dynamics. Here we evaluate the effect of spatial smoothing regularization in Bayesian frameworks by comparing an unregularized (BUR) approach that samples distributed ...
Xiong Zhao, Junle Jiang
wiley   +1 more source

Full Seismic Waveform Inversion for the Japanese Islands

, 2015
ISSN:1607 ...
Zukauskaite, Saule, Steptoe, Hamish, Fichtner, Andreas   +2 more
openaire   +2 more sources

Flood‐Scale Bedload Transport Dynamics From Acoustic Monitoring Compared With 2D Hydro‐Sedimentary Modeling

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Accurate estimation of bedload fluxes is critical to understanding sediment transport processes and associated channel evolution in gravel‐bed rivers, however, traditional direct measurements using samplers are time‐consuming and complex. To overcome these limitations, new indirect methods have been developed to estimate fluxes from bedload ...
G. Piasny, P.‐A. Garambois, T. Geay, S. Zanker, L. Schmitt   +4 more
wiley   +1 more source

Surrogate‐Assisted Bayesian Inference of Fracture Network Parameters From Elastic Waves: A Sensitivity‐Guided Approach

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We develop a sensitivity‐guided, surrogate‐assisted Bayesian framework to infer fracture network parameters from elastic waves. Synthetic fracture networks characterized by power‐law length exponent a $a$, fracture density d $d$, and percolation parameter p $p$ are constructed.
Le Zhang, Qinghua Lei, Longjun Dong, Chuanyin Jiang, Thomas Hermans   +4 more
wiley   +1 more source

Along‐Strike Variations in Sub‐Arc Melting Beneath the Alaska Peninsula Revealed by P‐Wave Attenuation

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract The diverse volcanic activity in the Alaska Peninsula section of the Alaska‐Aleutian subduction zone is presumably caused by substantial variations in mantle wedge melting or trans‐crustal processes beneath the arc. In this study, we investigate sub‐arc melting beneath the Alaska Peninsula by measuring P‐wave attenuation, as attenuation is ...
Zhuoran Zhang, S. Shawn Wei, Yurong Riley Zhang, Fan Wang, Dongdong Tian   +4 more
wiley   +1 more source

Two Distinct Growth Styles of Riedel Shear Zones in Cratonic Strike‐Slip Fault System, Tarim Basin, NW China

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract The kinematics and progressive evolution of Riedel shear zones have been extensively studied, yet the factors controlling their distinct evolutionary styles in natural settings remain debated. Understanding such fracture network architecture has great implications, such as predicting subsurface fluid flow and assessing seismic hazards.
Jiajun Chen, Zhanfeng Qiao, Tianfu Zhang, Uwe Ring, Shaoying Chang, Peng Cao, Mengxiu Wang, Yifan Du   +7 more
wiley   +1 more source

Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Electrical resistivity tomography (ERT) is a subsurface imaging geophysical technique. Traditional ERT inversion methods, such as smoothness‐constrained least‐squares approaches, often suffer from discretization artifacts when reconstructing electrical resistivity from resistance measurements.
Yusen Yuan, Kenneth C. Carroll, Huichao Yin, Pushpa R. Dahal, Dale F. Rucker, Ahsan Jamil, Anderson Ward, Zachary Lepchitz, Dan Lu   +8 more
wiley   +1 more source

Seismic waveform tomography with shot-encoding using a restarted L-BFGS algorithm

Scientific Reports, 2017
In seismic waveform tomography, or full-waveform inversion (FWI), one effective strategy used to reduce the computational cost is shot-encoding, which encodes all shots randomly and sums them into one super shot to significantly reduce the number of ...
Ying Rao, Yanghua Wang
doaj   +1 more source

Understanding the Robustness of Reparameterized Full‐Waveform Inversion Through Loss Landscape Perspective: Application to VSP Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Full waveform inversion (FWI) reconstructs subsurface models by minimizing the mismatch between observed and simulated seismic data. However, the strong nonlinearity of the inversion problem makes gradient‐based optimization highly sensitive to inaccurate initial models and incomplete observational data.
Ning Wang, Ying Shi, Bingchuan Geng, Xuan Ke   +3 more
wiley   +1 more source

How Does Neural Network Reparametrization Improve Geophysical Inversion?

Journal of Geophysical Research: Machine Learning and Computation
Full waveform inversion (FWI) is a high‐resolution seismic inversion technique and great efforts have been made to mitigate the multi‐solution problem, such as the traditional total variation (TV) regularization. Different from traditional regularization,
Yuping Wu, Jianwei Ma
doaj   +1 more source