Phys.org March 3, 2023 The movement and deformation of the Earth’s crust and upper mantle provide critical insights into the evolution of earthquake processes and future earthquake potentials. Crustal deformation can be modeled by dislocation models that represent earthquake faults in the crust as defects in a continuum medium. Researchers in Japan have proposed a physics-informed deep learning approach to model crustal deformation due to earthquakes. Neural networks can represent continuous displacement fields in arbitrary geometrical structures and mechanical properties of rocks by incorporating governing equations and boundary conditions into a loss function. They introduced polar coordinate system to accurately […]
Tag Archives: Earthquake prediction
Months of gravity changes preceded the Tōhoku earthquake
Phys.org September 1, 2022 Researchers in France conducted a global analysis of Gravity Recovery and Climate Experiment (GRACE) reconstructed gravity gradients from July 2004 to February 2011 to test whether the deep signals preceding the March 2011 Tohoku earthquake could be detected before the event as a specific feature originating from solid Earth. They improved the angular resolution of the gravity gradients using two overlapping ranges of azimuthal sensitivity to investigate short-term signals of large amplitude aligned with the orientation of the Northwestern Pacific subduction and set-up a method to identify consistent solid Earth signals shared by different GRACE gravity […]
Machine learning refines earthquake detection capabilities
Science Daily November 1, 2021 New satellites are opening a new window into tectonic processes by allowing researchers to observe length and time scales that were not possible in the past. However, existing algorithms are not suited for the vast amount of InSAR data flowing in from these new satellites. To process all this data an international team of researchers (USA – Los Alamos National Laboratory, France) developed the first tool based on machine learning algorithms to extract ground deformation from InSAR data, which enables the detection of ground deformation automatically — without human intervention — at a global scale, […]
‘Treasure trove’ of earthquake clues could be unearthed by wavy new technique
Science Daily September 24, 2019 Current rock mapping techniques use sound waves that help assess how rocks might behave when stress builds up, and how much shaking there would be in an earthquake. An international team of researchers (UK, New Zealand) have plugged current sound wave information into full waveform inversion which helps them paint a picture of the Hikurangi fault zone in unprecedented detail. They also captured the shallow faults which were responsible for the large Gisborne tsunami in 1947 — an example of a large tsunami caused by a relatively small slow slip earthquake. The researchers combined data […]