Results 181 to 190 of about 3,501 (257)
Pre-Earthquake Early Warning System
International Journal of Computer Applications, 2018 Bhavin Dhamecha +3 more
openaire +1 more source
Sustainable Development, Volume 34, Issue 6, Page 8472-8487, October 2026.ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali +2 more
wiley +1 more source
Pre‐Eruptive Volatiles and Magma Storage Depth for the 2018 Eruption at Mount Veniaminof, Alaska
Geochemistry, Geophysics, Geosystems, Volume 27, Issue 10, October 2026.Abstract Mount Veniaminof is a frequently active, open‐system arc volcano on the Alaska Peninsula, part of the Alaska‐Aleutian arc. Mount Veniaminof's September–December 2018 eruption began with small lava flows and culminated in a larger explosive event in November that produced a 450 km long continuous ash plume—one of the volcano's most significant ...
E. G. Huggins +5 more
wiley +1 more source
Diffusion Priors Enhanced Velocity Model Building From Time‐Lag Images Using a Neural Operator
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Velocity model building (VMB) serves as a crucial component for achieving high precision subsurface imaging. However, conventional VMB methods are often computationally expensive and time consuming. In recent years, with the rapid advancement of deep learning, particularly the success of generative models and neural operators (NOs), deep ...
Xiao Ma +2 more
wiley +1 more source
Evolution of Scaled Energy During Earthquake Ruptures
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 10, October 2026.Abstract Earthquake ruptures radiate seismic energy in complex ways, reflecting the interplay of fault heterogeneity and rupture dynamics. How the radiated energy evolves during rupture, and whether this evolution varies systematically with earthquake properties, remains poorly understood. Here we analyze more than 1,500 global earthquakes using moment‐
Binhao Wang, Heidi Houston
wiley +1 more source
The Anatomy of a Dust Emitting Hot Spot: The White Sands Playa‐Aeolian System, New Mexico, USA
Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.Abstract The White Sands aeolian system is a hot spot of dust emissions and has likely been a persistent dust source since the early to mid‐Holocene, when arid conditions promoted the desiccation and erosion of Pleistocene Lake Otero and the formation of the dune field.
M. R. Sweeney +7 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley +1 more source
IGyTheM: Integrating Geodynamics With Thermodynamics Using Machine Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Achieving a comprehensive understanding of mantle convection requires integrated models that couple mantle dynamics with thermodynamic properties. Although advances in computational geodynamics have substantially improved our ability to simulate the underlying physical processes, incorporating thermodynamics into self‐consistent geodynamic ...
Qian Yuan +4 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Low‐frequency earthquakes (LFEs) provide key constraints on slow earthquake processes but remain difficult to detect because of their low signal‐to‐noise ratios (SNR) and emergent onsets, particularly in offshore environments where seismic networks are sparse.
Yanhan Chen, Yoshihiro Ito
wiley +1 more source
Adapting a Pretrained LLM to Rapidly Recover Earthquake Magnitude and Location
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Determining earthquake magnitude and location through fast, automated methods is fundamental for seismic monitoring. Recent studies have shown that Large Language Models (LLMs) can operate as pattern‐recognition systems capable of handling novel domains and purely numerical tasks.
Aurora Bassani +6 more
wiley +1 more source