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This publication shows the three-dimensional configuration of the gigantic tectonic sag of the Osaka Bay sedimentary basin on the eastern Eurasian margin based on reflection seismic data never before published.

This book is a product of the joint efforts of interdisciplinary academic fields under the integrative framework of human geoscience.

This book explains the physics behind seismic ground motions and seismic waves to graduate and upper undergraduate students as well as to professionals.

In April 2016, a series of earthquakes hit the Kumamoto area of Kyushu Island, southwest Japan. The Mj 7.3 (Mw 7.0) mainshock produced extensive and complex surface ruptures in and around the active Futagawa-Hinagu fault zone, including primary right-lateral faulting, slip-partitioned normal faulting, and distributed and triggered surface breaks, as well as minor surface ruptures associated with the foreshocks of up to Mj 6.5 (Mw 6.2). This book provides a complete record of those surface ruptures mapped by a team of more than 25 researchers from Japanese universities and research institutes. The locations, traces, morphology, and displacement are described in great detail along with over 300 on-site photographs, and the information is supplemented by the GIS data available online. The book is useful for a wide range of earthquake scientists and engineers who work on active faults and related seismic hazard assessment, including earthquake geologists, tectonic geomorphologists, seismologists, geodesists, civil engineers, and city planners.

The recent understandings about global earth mechanics are widely based on huge amounts of monitoring data accumulated using global networks of precise seismic stations, satellite monitoring of gravity, very large baseline interferometry, and the Global Positioning System. New discoveries in materials sciences of rocks and minerals and of rock deformation with fluid water in the earth also provide essential information. This book presents recent work on natural geometry, spatial and temporal distribution patterns of various cracks sealed by minerals, and time scales of their crack sealing in the plate boundary. Furthermore, the book includes a challenging investigation of stochastic earthquake prediction testing by means of the updated deep machine learning of a convolutional neural network with multi-labeling of large earthquakes and of the generative autoencoder modeling of global correlated seismicity. Their manifestation in this book contributes to the development of human society resilient from natural hazards. Presented here are (1) mechanics of natural crack sealing and fluid flow in the plate boundary regions, (2) large-scale permeable convection of the plate boundary, (3) the rapid process of massive extrusion of plate boundary rocks, (4) synchronous satellite gravity and global correlated seismicity, (5) Gaussian network dynamics of global correlated seismicity, and (6) prediction testing of plate boundary earthquakes by machine learning and generative autoencoders.

This book presents a summary of high-pressure phase transitions of minerals and related inorganic compounds. The first part reviews the methods to investigate phase transitions by direct high-pressure and high-temperature experiments together with thermodynamic approaches that consist of calorimetric measurements and thermodynamic calculation. In the second part, phase relations and thermodynamic properties of olivine, pyroxene, garnet, spinel, perovskite, rutile, and related inorganic compounds with A2BO4, ABO3, AB2O4, and AO2 stoichiometries are described. Particular emphasis is placed on spinel- and perovskite-structured phases and their high-pressure polymorphs called post-spinel and post-perovskite phases. The last part of the book focuses on phase relations of mantle rocks and on natural high-pressure minerals from the Earth's deep mantle and in shocked meteorites.  

Different physical or geophysical methods provide information about distinctive physical properties of the objects, e.g., rock formations and mineralization. In many cases, this information is mutually complementary, which makes it natural for consideration in a joint inversion of the multiphysics data. Inversion of the observed data for a particular experiment is subject to considerable uncertainty and ambiguity. One productive approach to reducing uncertainty is to invert several types of data jointly. Nonuniqueness can also be reduced by incorporating additional information derived from available a priori knowledge about the target to reduce the search space for the solution. This additional information can be incorporated in the form of a joint inversion of multiphysics data.Generally established joint inversion methods, however, are inadequate for incorporating typical physical or geological complexity. For example, analytic, empirical, or statistical correlations between different physical properties may exist for only part of the model, and their specific form may be unknown. Features or structures that are present in the data of one physical method may not be present in the data generated by another physical method or may not be equally resolvable.This book presents and illustrates several advanced, new approaches to joint inversion and data fusion, which do not require a priori knowledge of specific empirical or statistical relationships between the different model parameters or their attributes. These approaches include the following novel methods, among others: 1) the Gramian method, which enforces the correlation between different parameters; 2) joint total variation functional or joint focusing stabilizers, e.g., minimum support and minimum gradient support constraints; 3) data fusion employing a joint minimum entropy stabilizer, which yields the simplest multiphysics solution that fits the multi-modal data. In addition, the book describes the principles of using artificial intelligence (AI) in solving multiphysics inverse problems. The book also presents in detail both the mathematical principles of these advanced approaches to joint inversion of multiphysics data and successful case histories of regional-scale and deposit-scale geophysical studies to illustrate their indicated advantages.