Results 241 to 250 of about 1,444,667 (352)

Deep Quake Dynamics: A Multimodal Fault‐Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
EQMT integrates earthquake catalog data, fault‐network geometry, engineered features, and graph embeddings in a unified framework for forecasting earthquake magnitude and occurrence time. The framework is designed to reflect inter‐fault spatial dependencies together with temporal seismic patterns, addressing limitations of approaches based only on ...
Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu   +5 more
wiley   +1 more source

Digital Technologies and Machine Learning in Environmental Hazard Monitoring: A Synthesis of Evidence for Floods, Air Pollution, Earthquakes, and Fires. [PDF]

Sensors (Basel)
Wilk-Jakubowski JL, Kuchcinski A, Wilk-Jakubowski GK, Palej A, Pawlik L.   +4 more
europepmc   +1 more source

A Parallelized 3D Geomechanical Solver for Fluid‐Induced Fault Slip in Poroelastic Media

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 5, Page 2570-2586, 10 April 2026.
ABSTRACT We present a fully implicit formulation of coupled fluid flow and geomechanics for fluid injection/withdrawal in fractured reservoirs in the context of CO2$\textrm {CO}_2$ storage. Utilizing a Galerkin finite‐element approach, both flow and poroelasticity equations are discretized on a shared three‐dimensional mesh.
Emil Rinatovich Gallyamov, Guillaume Anciaux, Nicolas Richart, Jean‐François Molinari, Brice Lecampion   +4 more
wiley   +1 more source

Seismogenic strength and anatomy of mahendragarh-dehradun fault: implication to seismic risk. [PDF]

Sci Rep
Gera SK, Ammani A, Sandeep, Singh P, Mishra OP.   +4 more
europepmc   +1 more source

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
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, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

Occurrence of major earthquakes is as stochastic as smaller ones. [PDF]

Sci Adv
Ghazoui Z, Grasso JR, Watlet A, Caudron C, Karimov A, Yokoyama Y.   +5 more
europepmc   +1 more source

Entwined economies of violence: understanding borderland conflict and resource politics in northern Kenya

Disasters, Volume 50, Issue 2, April 2026.
Abstract This article explores longstanding conflict between Turkana and Pokot pastoralist communities in northern Kenya, close to the country's border with Uganda. Conflict in this region has consistently defied interventions by both governments and development organisations.
Daniel Salau Rogei
wiley   +1 more source

Comprehensive assessment of ground motion amplification in stratified soils with different layer configurations and types. [PDF]

Sci Rep
Ziar A, Basari E.
europepmc   +1 more source

Seismic hazard

, 1986
openaire   +6 more sources

From Hurricane Irma to the Grindavík eruptions: volatility premiums in disaster governance

Disasters, Volume 50, Issue 2, April 2026.
Abstract Environmental volatility can inflate property values even as it destroys them. To show how, this article pairs a postcolonial micro‐state in the Caribbean (Sint Maarten after Hurricane Irma) with a Nordic welfare town (Grindavík in Iceland following volcanic eruptions) because they occupy the opposite ends of the governance capacity spectrum ...
Thor Björnsson
wiley   +1 more source