Thermo‐Hydro‐Mechanical Model and Caprock Deformation Explain the Onset of an Ongoing Seismo‐Volcanic Unrest
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DOI: 10.1029/2020jb020449
Abstract: Coupled thermo-hydro-mechanical (THM) modeling has been widely applied in Enhanced Geothermal System sites (e.g., Gan & Lei, 2020; Rinaldi, Rutqvist, et al., 2015; Rutqvist, Dobson, et al., 2013; Vasco et al., 2013; Ziagos et al.,… read more here.
Keywords: seismicity; caprock; thermo hydro; deformation ... See more keywords
Continuous Active Learning for Seismo-Volcanic Monitoring
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DOI: 10.1109/lgrs.2021.3121611
Abstract: Deep learning has advanced seismo-volcanic monitoring to unprecedented performance levels. Nevertheless, seismic data labeling still requires substantial annotation efforts, often delayed in time if the eruptive state alters the data conditions. The selective segmentation of… read more here.
Keywords: volcanic monitoring; seismo volcanic; monitoring; active learning ... See more keywords
Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting
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DOI: 10.1109/tgrs.2021.3134198
Abstract: We introduce an end-to-end (E2E) deep neural network architecture designed to perform seismo-volcanic monitoring focused on detecting change. Due to the complexity of volcanic processes, this requires a polyphonic detection, segmentation, and classification approach. Through… read more here.
Keywords: forecasting; scattering network; network; seismo volcanic ... See more keywords