LEADER 04465nam 22006735 450 001 9910254131903321 005 20200630081430.0 010 $a3-319-27801-0 024 7 $a10.1007/978-3-319-27801-8 035 $a(CKB)3710000000685919 035 $a(EBL)4529040 035 $a(DE-He213)978-3-319-27801-8 035 $a(MiAaPQ)EBC4529040 035 $a(PPN)194077977 035 $a(EXLCZ)993710000000685919 100 $a20160517d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-Driven Numerical Modelling in Geodynamics: Methods and Applications /$fby Alik Ismail-Zadeh, Alexander Korotkii, Igor Tsepelev 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (113 p.) 225 1 $aSpringerBriefs in Earth Sciences,$x2191-5369 300 $aDescription based upon print version of record. 311 $a3-319-27800-2 320 $aIncludes bibliographical references at the end of each chapters. 327 $aPreface -- Introduction -- Backward advection method and application to salt tectonics -- Variational method and its application to mantle plume evolution -- Application of the VAR method to volcanic lava dynamics -- Quasi-reversibility method and its applications -- Application of the QRV method to reconstruction of plate subduction -- Comparison of data assimilation methods for mantle convection models. 330 $aThis book describes the methods and numerical approaches for data assimilation in geodynamical models and presents several applications of the described methodology in relevant case studies. The book starts with a brief overview of the basic principles in data-driven geodynamic modelling, inverse problems, and data assimilation methods, which is then followed by methodological chapters on backward advection, variational (or adjoint), and quasi-reversibility methods. The chapters are accompanied by case studies presenting the applicability of the methods for solving geodynamic problems; namely, mantle plume evolution; lithosphere dynamics in and beneath two distinct geological domains ? the south-eastern Carpathian Mountains and the Japanese Islands; salt diapirism in sedimentary basins; and volcanic lava flow. Applications of data-driven modelling are of interest to the industry and to experts dealing with geohazards and risk mitigation. Explanation of the sedimentary basin evolution complicated by deformations due to salt tectonics can help in oil and gas exploration; better understanding of the stress-strain evolution in the past and stress localization in the present can provide an insight into large earthquake preparation processes; volcanic lava flow assessments can advise on risk mitigation in the populated areas. The book is an essential tool for advanced courses on data assimilation and numerical modelling in geodynamics. 410 0$aSpringerBriefs in Earth Sciences,$x2191-5369 606 $aGeophysics 606 $aFossil fuels 606 $aNatural disasters 606 $aNumerical analysis 606 $aGeophysics/Geodesy$3https://scigraph.springernature.com/ontologies/product-market-codes/G18009 606 $aFossil Fuels (incl. Carbon Capture)$3https://scigraph.springernature.com/ontologies/product-market-codes/114000 606 $aNatural Hazards$3https://scigraph.springernature.com/ontologies/product-market-codes/G32000 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 615 0$aGeophysics. 615 0$aFossil fuels. 615 0$aNatural disasters. 615 0$aNumerical analysis. 615 14$aGeophysics/Geodesy. 615 24$aFossil Fuels (incl. Carbon Capture). 615 24$aNatural Hazards. 615 24$aNumerical Analysis. 676 $a551.1015194 700 $aIsmail-Zadeh$b Alik$4aut$4http://id.loc.gov/vocabulary/relators/aut$0951583 702 $aKorotkii$b Alexander$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTsepelev$b Igor$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254131903321 996 $aData-Driven Numerical Modelling in Geodynamics: Methods and Applications$92511345 997 $aUNINA