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Geochemical Mechanics and Deep Neural Network Modeling

Applications to Earthquake Prediction

Authors:

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

Part of the book series: Advances in Geological Science (AGS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiii
  2. Introduction

    • Mitsuhiro Toriumi
    Pages 1-6
  3. Gaussian Network Model of Global Seismicity

    • Mitsuhiro Toriumi
    Pages 199-220
  4. Conclusive Remarks

    • Mitsuhiro Toriumi
    Pages 259-262
  5. Back Matter

    Pages 263-274

About this book

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.

Authors and Affiliations

  • Kamakura, Japan

    Mitsuhiro Toriumi

About the author

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.

Bibliographic Information

  • Book Title: Geochemical Mechanics and Deep Neural Network Modeling

  • Book Subtitle: Applications to Earthquake Prediction

  • Authors: Mitsuhiro Toriumi

  • Series Title: Advances in Geological Science

  • DOI: https://doi.org/10.1007/978-981-19-3659-3

  • Publisher: Springer Singapore

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-19-3658-6Published: 20 August 2022

  • Softcover ISBN: 978-981-19-3661-6Published: 21 August 2023

  • eBook ISBN: 978-981-19-3659-3Published: 19 August 2022

  • Series ISSN: 2524-3829

  • Series E-ISSN: 2524-3837

  • Edition Number: 1

  • Number of Pages: XIII, 274

  • Number of Illustrations: 14 b/w illustrations, 209 illustrations in colour

  • Topics: Geochemistry, Geophysics/Geodesy, Machine Learning, Mathematics of Planet Earth, Natural Hazards

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access