Results 101 to 110 of about 953 (196)
Application of Neural Networks for Moon Near‐Surface Velocity‐Model Extraction
ABSTRACT Characterizing the shallow lunar subsurface is essential for future exploration activities, including landing‐site assessment, infrastructure construction and subsurface resource investigation. However, conventional seismic approaches for near‐surface characterization commonly depend on prior velocity information and assumptions regarding the ...
Nelson Ricardo Coelho Flores Zuniga +1 more
wiley +1 more source
Abstract Interactions among faulting, earthquakes, and eruptions are fundamental to plate tectonics and hazard forecasting yet rarely observed along mid‐ocean ridges. On Iceland's Reykjanes Peninsula, seismotectonic–volcanic unrest resumed after nearly 800‐year hiatus, providing an opportunity to observe these interactions during 2021–2025 activity. By
Tomáš J. Fischer +7 more
wiley +1 more source
Vers une tomographie haute résolution du manteau inférieur terrestre
La couche D" est une des zones les plus hétérogène de la Terre, abritant des structures mal comprises, probablement à l'origine de la dynamique globale du manteau. Les méthodes actuelles de tomographie sismique ne résolvent pas correctement cette région.
Schardong, Lewis
core
Discovery of Repeating Shallow Moonquakes in the Apollo Lunar Seismic Data
Abstract Shallow moonquakes have been considered unique due to their large magnitudes and affinities with intraplate earthquakes. However, the small number of detections (<80 events) has prevented detailed characterization. In this study, I identified a pair of repeating shallow moonquakes by analyzing a recently updated moonquake data set.
Keisuke Onodera
wiley +1 more source
An approach for teleseismic location by automatically matching depth phase
To deal with the low efficiency problem of accurate teleseismic hypocenter location, this paper proposes a fully automatic approach by integrating the advantages of Seismic-Scanning based on Navigated Automatic Phase-picking, which can automatically ...
Jianlong Yuan +4 more
doaj +1 more source
Dense seismic network provides new insight into the 2007 Upptyppingar dyke intrusion
Factors such as network geometry, network size and phase-picking accuracy have significant effects on the precision of seismic hypocentre locations. In turn, the precision of the hypocentral locations dictates the degree to which morphological details ...
Jakobsdottir, S. S. +5 more
core
The Main Himalayan Thrust (MHT), where the 2015 MW7.8 Gorkha earthquake occurred, features the most seismicity of any structure in Nepal. The structural complexity of the MHT makes it difficult to obtain a definitive interpretation of deep seismogenic ...
Yeyang Kuang, Jiangtao Li
doaj +1 more source
Deep learning models trained to estimate the probability of seismic P and S phases are rapidly expanding the scale of local event detections. Here, we evaluate the potential for deep learning model output phase detection probabilities to contribute to ...
Chenglong Duan +4 more
doaj +1 more source
High-quality datasets are critical for the development of advanced machine-learning algorithms in seismology. Here, we present an earthquake dataset based on the ChinArray Phase I records (X1).
Lu Li, Weitao Wang, Ziye Yu, Yini Chen
doaj +1 more source
Uncertainty in Phase Arrival Time Picks for Regional Seismic Events: An Experimental Design [PDF]
The detection and timing of seismic arrivals play a critical role in the ability to locate seismic events, especially at low magnitude. Errors can occur with the determination of the timing of the arrivals, whether these errors are made by automated ...
Anderson, Dale N. +2 more
core

