By Alik Ismail-Zadeh, Alexander Korotkii, Igor Tsepelev

ISBN-10: 3319278002

ISBN-13: 9783319278001

ISBN-10: 3319278010

ISBN-13: 9783319278018

This booklet describes the tools and numerical methods for facts assimilation in geodynamical types and offers a number of functions of the defined method in appropriate case experiences. The booklet starts off with a short evaluate of the fundamental ideas in data-driven geodynamic modelling, inverse difficulties, and knowledge assimilation tools, that is then by way of methodological chapters on backward advection, variational (or adjoint), and quasi-reversibility tools. The chapters are observed via case stories providing the applicability of the equipment for fixing geodynamic difficulties; particularly, mantle plume evolution; lithosphere dynamics in and underneath specified geological domain names – the south-eastern Carpathian Mountains and the japanese Islands; salt diapirism in sedimentary basins; and volcanic lava circulation.
Applications of data-driven modelling are of curiosity to the and to specialists facing geohazards and hazard mitigation. rationalization of the sedimentary basin evolution complex via deformations as a result of salt tectonics will help in oil and gasoline exploration; greater knowing of the stress-strain evolution long ago and pressure localization within the current provides an perception into huge earthquake education methods; volcanic lava circulation checks can recommend on probability mitigation within the populated components. The ebook is an important software for complicated classes on information assimilation and numerical modelling in geodynamics.

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Additional resources for Data-Driven Numerical Modelling in Geodynamics: Methods and Applications

Example text

G. both temperature and heat flow are known), and at another part of the boundary there is a lack of information on the temperature (because of no direct measurements at this part of the boundary). This mathematical problem is reduced in its turn to solving the inverse problem for determination of the temperature at the bottom of the lava and for subsequent search for the temperature and velocity of the lava. 3 Mathematical Statement In a two-dimensional model domain (Fig. T/ is the heat conductivity; ref is the typical density; and cp is the specific heat capacity.

Basin Res 22:751–764 Jackson MPA, Vendeville BC, Schultz-Ela DD (1994) Structural dynamics of salt systems. Annu Rev Earth Planet Sci 22:93–117 Kirsch A (1996) An introduction to the mathematical theory of inverse problems. Springer, New York Korotkii AI, Tsepelev IA, Ismail-Zadeh AT, Naimark BM (2002) Three-dimensional backward modeling in problems of Rayleigh-Taylor instability. Proc Ural State Univ 22(4):96–104 (in Russian) Koyi H (1996) Salt flow by aggrading and prograding overburdens. In: Alsop I, Blundell D, Davison I (eds) Salt tectonics.

The evolution of the system was restored for these density contrasts. Ismail-Zadeh et al. 5 %) between least square errors for all these test cases. The tests show that the solution is stable to small changes in the initial conditions, and this is in agreement with the mathematical theory of well-posed problems (Tikhonov and Samarskii 1990). Meanwhile it should be mentioned that if the model is computed for a very long time and the less dense salt layer spreads uniformly into a horizontal layer near the surface, practical restoration of the layered structure becomes impossible (IsmailZadeh et al.

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Data-Driven Numerical Modelling in Geodynamics: Methods and Applications by Alik Ismail-Zadeh, Alexander Korotkii, Igor Tsepelev


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