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Title
Global seismicity dynamics and data-driven science : seismicity modelling by big data analytics / Mitsuhiro Toriumi.
ISBN
9789811551093 (electronic bk.)
981155109X (electronic bk.)
9811551081
9789811551086
Publication Details
Singapore : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-981-15-5109-3 doi
Call Number
QE539
Dewey Decimal Classification
551.22
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Series
Advances in geological science.
Available in Other Form
Print version: 9789811551086
Introduction
Nature of Earthquakes in the Solid Earth
Global Seismicity of the Solid Earth
Data
Driven Sciences for Geosciences
Data-Driven Science of Seismicity
Down Scaling Seismicity of Japanese Regions
Correlated Seismicity of the Northern California Region
Model of Seismicity Dynamics from Data-Driven Science
Seismicity Dynamics Model of Global Earth and Japanese Island Region
Predictive Modeling of Global and Regional Seismicity Rates
Future Problems of Prediction of Giant Plate Boundary Earthquakes
Application of Recurrent Neural Network (RNN) Modeling for Global Seismicity Dynamics
Comments on Databases and Software Used in This Book.
