Results 151 to 160 of about 1,722 (253)

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Ground motion inversion method based on generalized chaotic particle swarm optimization. [PDF]

PLoS One
Sun B, Qi L.
europepmc   +1 more source

Terrestrial Analogs to Titan for Geophysical Research

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Saturn's moon Titan exhibits remarkable parallels to the Earth in many geophysical and geological processes not found elsewhere in the solar system at the present day. These include a nitrogen atmosphere with a condensible gas—methane—replacing the Earth's water, leading to an active meteorology with rainfall and surface manifestations ...
Conor A. Nixon, Samuel Birch, Audrey Chatain, Charles Cockell, Kendra K. Farnsworth, Peter M. Higgins, Stéphane Le Mouélic, Rosaly M. C. Lopes, Michael J. Malaska, Mohit Melwani Daswani, Kelly E. Miller, Catherine D. Neish, Olaf G. Podlaha, Jani Radebaugh, Lauren R. Schurmeier, Ashley Schoenfeld, Krista M. Soderlund, Anezina Solomonidou, Christophe Sotin, Nicholas A. Teanby, Tetsuya Tokano, Steven D. Vance   +21 more
wiley   +1 more source

Post-seismic indoor radon exposure in ground-floor gyms: amplified health risk during physical exercise. [PDF]

Front Public Health
Baler S, Ozdurak Singin RH, Denizci T, Agascioglu EA.   +3 more
europepmc   +1 more source

Redistribution of Basal Forces and Shielding Model for Seismic Signals of Debris Flows Over Loose Thin‐Layer Sediments

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Debris flows over riverbeds generate intense basal force fluctuations that radiate seismic signals, offering a key tool for remotely monitoring their dynamics. In steep, highly erosive mountainous channels, bedrock is often covered by a thin layer of loose sediments, which significantly reduce seismic energy.
Bo Pang, Zongji Yang, Zhiyong Huang, Zhaoying Wu, Pan Chen   +4 more
wiley   +1 more source

Research on the influence mechanism of structural separation on the damage excitation of bridge piers under seismic motion. [PDF]

PLoS One
Wen Y, Liu Y, Ning X, Xia H, An W.
europepmc   +1 more source

Cross‐Dimensional Generative Adversarial Networks (CDGAN) Geomodeling: Bridging 2D Geological Figures and 3D Reservoir Modeling

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Generative adversarial networks (GANs) have proven effective in simulating complex reservoir environments, such as meandering channels and deltas. In classic GANs, the dimensionality of training data determines that of generated data: a 2D (or 3D) reservoir facies simulator (generator) requires training with corresponding 2D (or 3D) data sets.
Xun Hu, Yanshu Yin, Changmin Zhang, Pengfei Xie, Lixin Wang   +4 more
wiley   +1 more source

Hybrid Validation of a Quality-Controlled, Waveform-Centered AI Framework with Optional Multi-Sensor Support for Seismic Monitoring. [PDF]

Sensors (Basel)
Abdykadyrov A, Alipuly Y, Mamadiyarov M, Tashev B, Yerkinova A, Tazhen K.   +5 more
europepmc   +1 more source

Precise Temperature Measurements and Long‐Term Observations Revealed an Almost‐Constant Temperature Zone in a Vertical 700‐m‐Deep Borehole in the Aso Volcanic Region

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract To determine the subsurface temperature distribution and its relevance to groundwater flow in the deep subsurface, we repeated temperature depth profile measurements and conducted long‐term temperature observations in an ∼700‐m‐deep borehole penetrating the Futagawa fault along the Kiyama–Kashima graben in the Aso volcanic region, Japan from ...
Weiren Lin, Susumu Shibutani, Shuai Feng, Nana Kamiya, Kazuya Ishitsuka, Xiaoqiu Yang, Yutaro Shigemitsu, Yupeng Cao, Koichiro Sado   +8 more
wiley   +1 more source

Comparing machine learning and deep learning approaches to predicting the seismic response of slab-column connections. [PDF]

Sci Rep
El-Mandouh MA, Youssef H, Elborlsy MS, Ebied MA.   +3 more
europepmc   +1 more source