LEADER 04177nam  22006855  450 
001 9910588595803321
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010   $a9789811936593$b(electronic bk.)
010   $z9789811936586
024 7 $a10.1007/978-981-19-3659-3
035   $a(MiAaPQ)EBC7076056
035   $a(Au-PeEL)EBL7076056
035   $a(CKB)24723934200041
035   $a(DE-He213)978-981-19-3659-3
035   $a(PPN)264194268
035   $a(EXLCZ)9924723934200041
100   $a20220819d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGeochemical Mechanics and Deep Neural Network Modeling $eApplications to Earthquake Prediction /$fby Mitsuhiro Toriumi
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (283 pages)
225 1 $aAdvances in Geological Science,$x2524-3837
311 08$aPrint version: Toriumi, Mitsuhiro Geochemical Mechanics and Deep Neural Network Modeling Singapore : Springer,c2022 9789811936586 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- 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.
330   $aThe recent understandings about global earth mechanics are widely based on huge amounts of monitoring data accumulated using global networks of precise seismic stations, satellite monitoring of gravity, very large baseline interferometry, and the Global Positioning System. New discoveries in materials sciences of rocks and minerals and of rock deformation with fluid water in the earth also provide essential information. This book presents recent work on natural geometry, spatial and temporal distribution patterns of various cracks sealed by minerals, and time scales of their crack sealing in the plate boundary. Furthermore, the book includes a challenging investigation of stochastic earthquake prediction testing by means of the updated deep machine learning of a convolutional neural network with multi-labeling of large earthquakes and of the generative autoencoder modeling of global correlated seismicity. Their manifestation in this book contributes to the development of human society resilient from natural hazards. Presented here are (1) mechanics of natural crack sealing and fluid flow in the plate boundary regions, (2) large-scale permeable convection of the plate boundary, (3) the rapid process of massive extrusion of plate boundary rocks, (4) synchronous satellite gravity and global correlated seismicity, (5) Gaussian network dynamics of global correlated seismicity, and (6) prediction testing of plate boundary earthquakes by machine learning and generative autoencoders.
410  0$aAdvances in Geological Science,$x2524-3837
606   $aGeochemistry
606   $aGeophysics
606   $aMachine learning
606   $aGeography$xMathematics
606   $aNatural disasters
606   $aGeochemistry
606   $aGeophysics
606   $aMachine Learning
606   $aMathematics of Planet Earth
606   $aNatural Hazards
615  0$aGeochemistry.
615  0$aGeophysics.
615  0$aMachine learning.
615  0$aGeography$xMathematics.
615  0$aNatural disasters.
615 14$aGeochemistry.
615 24$aGeophysics.
615 24$aMachine Learning.
615 24$aMathematics of Planet Earth.
615 24$aNatural Hazards.
676   $a551.22
700   $aToriumi$b Mitsuhiro$01076514
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910588595803321
996   $aGeochemical Mechanics and Deep Neural Network Modeling$92907772
997   $aUNINA