Results 141 to 150 of about 96,107 (273)
Predicting Atmospheric Effective Sound Speed Using Synthetic Infrasound and Machine Learning
Abstract We introduce a machine learning (ML) model that reconstructs atmospheric conditions at the location of an explosive source using regionally recorded synthetic infrasound. A convolutional neural network (CNN) processes full waveforms and source‐receiver geometries to estimate the vertical profile of effective sound speed.
Alex Witsil +4 more
wiley +1 more source
Migration of Multimodal Deep Crustal Earthquake Swarm Beneath the Abu Volcano Group, Japan
Abstract Earthquakes in the lower crust, where high pressures and temperatures favor ductile deformation, are rare but occasionally occur beneath active volcanic centers, providing insights into deep magmatic processes. We analyze a deep crustal earthquake swarm (February–August 2025) of over 5,000 events beneath the Abu Volcano Group, Japan.
Weifan Lu
wiley +1 more source
The Magnetic Signature of Stress in Rocks
Abstract Magnetic signatures preserved in rocks have long provided insight into Earth's evolution, revealing processes from plate tectonics to the habitability of Earth. While large impacts are known to impose extreme stresses (>1 GPa) and heat that fundamentally alters magnetic records, lower stresses typical of earthquakes have been considered ...
B. R. Kugabalan +8 more
wiley +1 more source
Abstract We estimate the fault geometry and coseismic slip of the 2025 Myanmar earthquake using multi‐source satellite observations, revealing a nine‐segment rupture structure that transitions from eastward‐dipping in the north to westward‐dipping in the south, with peak slip of ∼6 m and negligible shallow slip deficit.
Lijia He +9 more
wiley +1 more source
ABSTRACT Soil erosion research remains critical for sustainable development as it impacts soil health through different erosive processes. Recent studies on soil piping highlight advancements in detecting surface features (using UAV); however, detecting underground pipes still remains challenging.
Anita Bernatek‐Jakiel, Marta Kondracka
wiley +1 more source
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi +2 more
wiley +1 more source
ABSTRACT Since the 2011 Great East Japan earthquake, tsunami evacuation towers have been constructed in coastal regions based on worst‐case predictions to provide additional safety margins against unprecedented tsunamis. However, the extent to which such assumptions effectively reduce casualty risk remains unclear.
Ravi Thapa +5 more
wiley +1 more source
Abstract Total dissolved solids derived from salt dome–sourced brine in the underlying alluvial aquifer substantially increase with distance in the reach of the Dolores River that passes through Paradox Valley in southwestern Colorado. The area has been the site of salinity control operations since the 1990s to reduce salt loading to the downstream ...
Neil Terry +5 more
wiley +1 more source
Seismic noise changes during COVID-19 pandemic: a case study of Shillong, India. [PDF]
Somala SN.
europepmc +1 more source
Abstract On 27 July and 25 October 2022, an Mw 7.0 earthquake and an Mw 6.4 earthquake struck Abra, northwest of Luzon, Philippines, respectively, with a time interval of less than 3 months and a distance of about 16 km. In this research, interferometric synthetic aperture radar (InSAR) was utilized to retrieve the co‐seismic surface deformation field ...
Yihan Nai +7 more
wiley +1 more source

