Results 51 to 60 of about 1,209 (179)
Validation of ShakeMaps Created From Global Navigation Satellite System (GNSS) Velocities
Ground velocity observations generated through a time difference of Global Navigation Satellite Systems (GNSS) phase observables and orbits have been shown to be comparable to seismic recordings without clipping during intense ground motions. Computing GNSS velocities is also computationally scalable and increases the density of ground motion ...
Jensen V. DeGrande, Brendan W. Crowell
wiley +1 more source
Earthquakes are natural events that can have serious impacts on human life and the environment. This study aims to improve the accuracy of earthquake hypocenter determination by applying the 2D dan 3D Grid Search method to seismic data recorded by three ...
Firdos Bahar Sidik +6 more
doaj +1 more source
Abstract Caldera systems commonly experience inner resurgence, which shapes patterns of volcanic activity. However, incomplete reconstructions of past ground deformation can lead to incorrect recognition of precursory signals. The Campi Flegrei caldera (Italy) provides an exceptional opportunity to address this issue as uplifted marine sediments ...
Jacopo Natale, Stefano Vitale
wiley +1 more source
Abstract Normal faults in southern Tibet have long suffered from limited ground‐based seismic and geodetic observations, constraining our understanding of both interseismic and coseismic processes and their interactions. The 2025 Mw 7.1 Dingri earthquake provides an opportunity to address these gaps.
Haicheng Xiong +9 more
wiley +1 more source
Abstract Fault slip occurs in both seismic and aseismic styles with spatial variability across scales, yet non‐unique source inference limits our ability to resolve slip complexity and dynamics. Here we evaluate the effect of spatial smoothing regularization in Bayesian frameworks by comparing an unregularized (BUR) approach that samples distributed ...
Xiong Zhao, Junle Jiang
wiley +1 more source
Transfer Learning and Benchmarking for Induced Seismic Event Detection: Insights From Oklahoma
Abstract Machine learning models for microseismicity detection are often limited by the scarcity of large and high‐quality labeled data sets in many regions. To address this need, we introduce the Oklahoma Labeled AI Dataset (OKLAD), a manually curated data set compiled by the Oklahoma Geological Survey (OGS).
Hongyu Xiao +7 more
wiley +1 more source
Abstract Fault slip inversions based on geodetic observations deepen our understanding of earthquake source processes. Previous attempts to simultaneously estimate the fault geometry and slip distribution have typically assumed a homogeneous half‐space owing to the prohibitively high computational costs of conventional numerical approaches.
Tomohisa Okazaki +5 more
wiley +1 more source
Systematic mapping study: automatic recognition and localization of volcanic seismic events
Active volcanoes represent a significant hazard to surrounding communities, requiring continuous and reliable monitoring. While seismic signals constitute the main source of information, each volcano produces massive datasets that are difficult to ...
Fernando Lara +4 more
doaj +1 more source
Abstract Distributed Acoustic Sensing (DAS) provides dense, wide‐aperture observations potentially ideal for imaging earthquake rupture processes. By combining data from a ∼450 km‐long seafloor DAS array offshore Chile and a conventional seismic network, we image an Mw 6.0 intermediate‐depth earthquake ∼400 km away in Argentina, achieving km‐scale ...
Yuqing Xie +6 more
wiley +1 more source
b‐Values of Large Earthquake Sequences Depend on Their Mainshock Location
Abstract We evaluate four hypotheses regarding b‐values in large earthquake sequences using the Japanese earthquake catalog: H1 ${\mathcal{H}}_{1}$: Around large earthquakes, b‐values vary more than expected at random. H2 ${\mathcal{H}}_{2}$: b‐values decrease prior to large earthquakes.
Aron Mirwald +3 more
wiley +1 more source

