Geochemical Mechanics and Deep Neural Network Modeling

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Details

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 societyresilient 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.

Combines materials sciences with deep machine learning to develop new methods for earthquake prediction testing Introduces recent AI modeling using a KerasTensorFlow environment Allows readers to learn methods of comprehensive investigation of materials science and data-driven science

Autorentext

Mitsuhiro Toriumi is a senior researcher at the Research Institute of Marine Geodynamics, the Japan Agency for Marine-Earth Science and Technology (JAMSTEC). He studies physical processes regarding metamorphism, metasomatism, tectonics, and rheology of plate boundary zones. He was the scientific director of the Institute for Research on Earth Evolution (IFREE) between 2011 and 2013, the chief leader of the Earth and Marine Biology Research Group (2014-2015), and a senior researcher of the Innovation Center (2016-2018) of JAMSTEC. He is a fellow of the Japan Geoscience Union.


Inhalt

Introduction.- Mechanics of Crack Sealing with Fluid Flow in the Plate Boundary.- Large Scale Permeable Convection of the Plate Boundary Zone.- Rapid Process of Massive Extrusion of Plate Boundary Rocks.- Mechanics by Synchronous GRACE Gravity, Earth Rotation, Plate Velocity and Global Correlated Seismicity.- Gaussian Network Model of Global Seismicity.- Prediction Testing of Plate Boundary Earthquake by Global DCNN and VAE-CNN Modeling.- Concluding Remarks.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 288
    • Herausgeber Springer Nature Singapore
    • Gewicht 652g
    • Untertitel Applications to Earthquake Prediction
    • Autor Mitsuhiro Toriumi
    • Titel Geochemical Mechanics and Deep Neural Network Modeling
    • Veröffentlichung 20.08.2022
    • ISBN 9811936587
    • Format Fester Einband
    • EAN 9789811936586
    • Jahr 2022
    • Größe H241mm x B160mm x T21mm
    • Lesemotiv Verstehen
    • Auflage 1st edition 2022
    • GTIN 09789811936586

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