Results 161 to 170 of about 1,227 (252)

Structured generative modelling of earthquake response spectra with hierarchical latent variables in hyperbolic geometry. [PDF]

Sci Rep
Wright A, Fayaz J.
europepmc   +1 more source

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

A hybrid quantitative approach for assessment of geotechnical hazards in rock tunnels using finite element and variation coefficient methods. [PDF]

Sci Rep
Ghorbani S.
europepmc   +1 more source

Basal Force Probability Distributions in Thin‐Layer Granular Flows

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang, Hui Tang, Yifei Cui, Jens M. Turowski, Lu Jing, Clarence Edward Choi   +5 more
wiley   +1 more source

Spatially validated assessment of seismic hazard-prone environments in Myanmar using multi-source data and interpretable machine learning. [PDF]

Sci Rep
Ning J, Sun Z, Wang Y, Xu Y, Zhang C.
europepmc   +1 more source

iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley   +1 more source

Study on the distribution characteristics and seismic hazard evaluation of loess seismic landslides in the southern Ningxia area. [PDF]

Sci Rep
Yang S, Han X, Chang C, Yu S, Wang Y, Peng D.   +5 more
europepmc   +1 more source

Transfer Learning and Benchmarking for Induced Seismic Event Detection: Insights From Oklahoma

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Machine learning models for microseismicity detection are often limited by the scarcity of large and high‐quality labeled data sets in many regions. To address this need, we introduce the Oklahoma Labeled AI Dataset (OKLAD), a manually curated data set compiled by the Oklahoma Geological Survey (OGS).
Hongyu Xiao, Jacob I. Walter, Paul Ogwari, Long M. Ho, Andrew D. Thiel, Nicholas Gregg, Brandon Mace, Isaac Woelfel   +7 more
wiley   +1 more source

A new 3D seismotectonic model of the Northern Apennines Pedeapenninic margin for seismic hazard assessment. [PDF]

Sci Data
Carloni G, Martelli L, Martini A, Gusmeo T, Vignaroli G, Viola G.   +5 more
europepmc   +1 more source

Crustal Thickness Inversion From Magmatic Geochemistry Reveals Spatiotemporal Evolution and Two‐Stage Uplift of the Iranian Plateau

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 8, August 2026.
Abstract The Cenozoic topographic growth of the Iranian Plateau, situated at the Arabia‐Eurasia collision front, provides insights into continental collision dynamics. However, the relative contributions of tectonic shortening versus deep mantle processes to crustal thickening remain debated because systematic quantitative constraints on paleo‐crustal ...
Jun Hu, Yongwei Zhao, Zhengquan Chen, Ni Li, Huan Kang   +4 more
wiley   +1 more source