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001432087 001__ 1432087
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001432087 020__ $$a9789811551093$$q(electronic bk.)
001432087 020__ $$a981155109X$$q(electronic bk.)
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001432087 0247_ $$a10.1007/978-981-15-5109-3$$2doi
001432087 035__ $$aSP(OCoLC)1199585333
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001432087 049__ $$aISEA
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001432087 08204 $$a551.22$$223
001432087 1001_ $$aToriumi, Mitsuhiro,$$d1946-
001432087 24510 $$aGlobal seismicity dynamics and data-driven science :$$bseismicity modelling by big data analytics /$$cMitsuhiro Toriumi.
001432087 260__ $$aSingapore :$$bSpringer,$$c[2021]
001432087 300__ $$a1 online resource
001432087 336__ $$atext$$btxt$$2rdacontent
001432087 337__ $$acomputer$$bc$$2rdamedia
001432087 338__ $$aonline resource$$bcr$$2rdacarrier
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001432087 347__ $$bPDF
001432087 4901_ $$aAdvances in Geological Science
001432087 504__ $$aIncludes bibliographical references.
001432087 5050_ $$aIntroduction -- 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.
001432087 506__ $$aAccess limited to authorized users.
001432087 520__ $$aThe 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.
001432087 650_0 $$aSeismology$$xData processing.
001432087 650_0 $$aBig data.
001432087 650_6 $$aSismologie$$xInformatique.
001432087 650_6 $$aDonnées volumineuses.
001432087 655_0 $$aElectronic books.
001432087 77608 $$iPrint version:$$z9811551081$$z9789811551086$$w(OCoLC)1148880211
001432087 830_0 $$aAdvances in geological science.
001432087 852__ $$bebk
001432087 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5109-3$$zOnline Access$$91397441.1
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001432087 980__ $$aBIB
001432087 980__ $$aEBOOK
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001432087 983__ $$aOnline
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