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physics.geo-ph2024
Quantification of Uncertainty and Its Propagation in Seismic Velocity Structure and Earthquake Source Inversion
Ryoichiro Agata
In earthquake source inversions aimed at understanding diverse fault activities on earthquake faults using seismic observation data, uncertainties in velocity structure models are…
physics.geo-ph2024★ 1 cited
HypoNet Nankai: Rapid hypocenter determination tool for the Nankai Trough subduction zone using physics-informed neural networks
Ryoichiro Agata, Satoru Baba, Ayako Nakanishi +1
Accurate hypocenter determination in the Nankai Trough subduction zone is essential for hazard assessment and advancing our understanding of seismic activity in the region. A handy…
physics.geo-ph2024
Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination
Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie
Subsurface seismic velocity structure is essential for earthquake source studies, including hypocenter determination. Conventional hypocenter determination methods ignore the inher…