Results 121 to 130 of about 116,799 (248)
GNSS Atmospheric Seismology [electronic resource] : Theory, Observations and Modeling /
GNSS can detect the seismic atmospheric-ionospheric variations, which can be used to investigate the seismo-atmospheric disturbance characteristics and provide insights on the earthquake.
Liu, X.author.authttp://id.loc.gov/vocabulary/relators/aut +3 more
core +1 more source
Classification of Seismic Signals at Vulcano, Italy, using Unsupervised Learning Techniques
We analyze the seismic signals recorded on the island of Vulcano (Italy) during a volcano unrest that started in 2021. From mid-September 2021 onward, a high number of very long-period and long-period events occurred, accompanied by large emissions of ...
Spampinato, Salvatore +3 more
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From August 14 to 26, 2024, a comprehensive expedition of the Institute of Volcanology and Seismology of the Far Eastern Branch of the Russian Academy of Sciences worked at the Karymsky Volcanic Center (KVC).
Chebrov D.V. +3 more
core +2 more sources
Abstract To determine the subsurface temperature distribution and its relevance to groundwater flow in the deep subsurface, we repeated temperature depth profile measurements and conducted long‐term temperature observations in an ∼700‐m‐deep borehole penetrating the Futagawa fault along the Kiyama–Kashima graben in the Aso volcanic region, Japan from ...
Weiren Lin +8 more
wiley +1 more source
Webcast sponsored by the Irving K. Barber Learning Centre and hosted by the Earth and Ocean Sciences Department. Steve McNutt is a volcano seismologist who works part time for the Alaska Volcano Observatory.
McNutt, Steve
core
Numerous ash layers deposited at the slopes of Kliuchevskoi volcano provide a detailed and continuous record of its explosive activity during the last ca.
Ponomareva Vera, Portnyagin Maxim
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A Machine Learning Approach for Volcanic Eruption Mass Estimation
Abstract Estimation of total volcanic erupted mass—the primary metric of eruption magnitude—is typically performed post‐eruption relying on dense monitoring of ground‐based seismology, gravity and deformation instrumentation, and therefore exists for only ∼100 of ∼1280 volcanoes worldwide.
Naeim Mousavi +2 more
wiley +1 more source
Deep‐Learning‐Based Phase Picking for Volcano‐Tectonic and Long‐Period Earthquakes
The application of deep‐learning‐based seismic phase pickers has surged in recent years. However, the efficacy of these models when applied to monitoring volcano seismicity has yet to be fully evaluated.
Yiyuan Zhong, Yen Joe Tan
doaj +1 more source
Abstract We develop 2‐D thermo‐petrologic models for two transects through southern Colombia and compare the model‐predicted temperature distributions and depths of slab dehydration with seismological observations. Along the northern transect, earthquakes occur above the relatively young subducting Nazca slab at 80–160‐km depths.
Benjamin M. Knott‐Byars +4 more
wiley +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
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