Advances in Geological Science

Global Seismicity Dynamics and Data-Driven Science

Seismicity Modelling by Big Data Analytics

Authors: Toriumi, Mitsuhiro

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  • Presents detailed explanations of step-by-step descriptions of data handling from international earthquakes database
  • Describes proposed stochastic dynamic equations controlling globally and regionally correlated microseismicity
  • Includes discussions of future possibilities of stochastic extrapolations of global and regional seismicity
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eBook 96,29 €
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  • ISBN 978-981-15-5109-3
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Hardcover 124,79 €
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  • ISBN 978-981-15-5108-6
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Softcover 88,39 €
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  • Due: October 22, 2021
  • ISBN 978-981-15-5111-6
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About this book

The recent explosion of global and regional seismicity data in the world requires new methods of investigation of microseismicity and development of their modelling to understand the nature of whole earth mechanics. In this book, the author proposes a powerful tool to reveal the characteristic features of global and regional microseismicity big data accumulated in the databases of the world. The method proposed in this monograph is based on (1) transformation of stored big data to seismicity density data archives, (2) linear transformation of microseismicity density data matrixes to correlated seismicity matrixes by means of the singular value decomposition method, (3) time series analyses of globally and regionally correlated seismicity rates, and (4) the minimal non-linear equations approximation of their correlated seismicity rate dynamics. Minimal non-linear modelling is the manifestation for strongly correlated seismicity time series controlled by Langevin-type stochastic dynamic equations involving deterministic terms and random Gaussian noises. A deterministic term is composed minimally with correlated seismicity rate vectors of a linear term and of a term with a third exponent. Thus, the dynamics of correlated seismicity in the world contains linearly changing stable nodes and rapid transitions between them with transient states. This book contains discussions of future possibilities of stochastic extrapolations of global and regional seismicity in order to reduce earthquake disasters worldwide. The dataset files are available online and can be downloaded at springer.com.

About the authors

Mitsuhiro Toriumi is a senior researcher at the Japan Agency of Marine – Earth Science and Technology (JAMSTEC). He was chief scientist of the board of innovation center of JAMSTEC and studied application of data-driven science and machine learning for global and regional seismicity. He was the research director of the Institute for Research on Earth Evolution (IFREE) and a professor in the Department of Complex Science and Engineering and a professor in the Faculty of Science, The University of Tokyo. During his early career, he was an associate professor of the Faculty of Science of Ehime University and an assistant professor of The University of Tokyo. He is an invited professor of the Open University of Japan. He has published and edited several books in the field of petrology, rheology, earth science, and solid earth science. He is a committee member of the Research Organization of Information and Systems of Japan and an adviser in Core Research for Evolutionary Science and Technology (Information and Measurement). He has been awarded the Geological Society of Japan Award.

Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-981-15-5109-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-981-15-5108-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 88,39 €
price for Spain (gross)
  • Due: October 22, 2021
  • ISBN 978-981-15-5111-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Global Seismicity Dynamics and Data-Driven Science
Book Subtitle
Seismicity Modelling by Big Data Analytics
Authors
Series Title
Advances in Geological Science
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-5109-3
DOI
10.1007/978-981-15-5109-3
Hardcover ISBN
978-981-15-5108-6
Softcover ISBN
978-981-15-5111-6
Series ISSN
2524-3829
Edition Number
1
Number of Pages
IX, 231
Number of Illustrations
46 b/w illustrations, 184 illustrations in colour
Topics