Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Alexander Korotkii"'
Autor:
Alexander Korotkii, I. S. Starodubtsev, Alik Ismail-Zadeh, Igor Tsepelev, Yu. V. Starodubtseva, Oleg Melnik
Publikováno v:
Journal of volcanology and seismology, 15 (3), 159–168
J. Volcanol. Seismol.
Journal of Volcanology and Seismology
J. Volcanol. Seismol.
Journal of Volcanology and Seismology
Lava domes form when a highly viscous magma erupts on the surface. Several types of lava dome morphology can be distinguished depending on the flow rate and the rheology of magma: obelisks, lava lobes, and endogenic structures. The viscosity of magma
CRUST DEVELOPMENT INFERRED FROM NUMERICAL MODELS OF LA V A FLOW AND ITS SURFACE THERMAL MEASUREMENTS
Publikováno v:
Ann. Geophys.
Annals of Geophysics
Annals of Geophysics
Propagation of a lava flow is governed by slope topography, magma rheology, heat exchange with the atmosphere and the underlying ter− rain, and the rate of the eruption. Highly viscous crust is formed due to cooling and solidification of the upperm
Publikováno v:
Journal of Geodynamics. 97:31-41
Although volcanic lava flows do not significantly affect the life of people, its hazard is not negligible as hot lava kills vegetation, destroys infrastructure, and may trigger a flood due to melting of snow/ice. The lava flow hazard can be reduced i
Publikováno v:
Doklady Earth Sciences. 467:367-370
We consider the problem about determination of characteristics of a lava flow from the physical parameters measured on its surface. The problem is formulated as an inverse boundary problem for the model simulating the dynamics of a viscous heat-condu
Publikováno v:
Proceedings of the Steklov Institute of Mathematics. 291:96-112
Direct and inverse boundary value problems for models of stationary reaction–convection–diffusion are investigated. The direct problem consists in finding a solution of the corresponding boundary value problem for given data on the boundary of th
This 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 principl
Publikováno v:
Data-Driven Numerical Modelling in Geodynamics: Methods and Applications ISBN: 9783319278001
In this chapter, we present a variational (VAR) method for assimilation of data related to models of thermal convective flow. This approach is based on a search for model parameters (e.g., mantle temperature and flow velocity in the past) by minimizi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11c990dc1eb413a5d9c6b2da12cd4a0
https://doi.org/10.1007/978-3-319-27801-8_3
https://doi.org/10.1007/978-3-319-27801-8_3
Publikováno v:
Geophysical Journal International
We study a model of lava flow to determine its thermal and dynamic characteristics from thermal measurements of the lava at its surface. Mathematically this problem is reduced to solving an inverse boundary problem. Namely, using known conditions at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee673719c7f552a1927301417863fa3d
https://elar.urfu.ru/handle/10995/90388
https://elar.urfu.ru/handle/10995/90388
Publikováno v:
Data-Driven Numerical Modelling in Geodynamics: Methods and Applications ISBN: 9783319278001
This chapter presents the application of the QRV method to dynamic restoration of the thermal state of the mantle beneath the Japanese islands and their surroundings. The geodynamic restoration for the last 40 million years is based on the assimilati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7683b616b0023ed1b1fb783c25248ab8
https://doi.org/10.1007/978-3-319-27801-8_6
https://doi.org/10.1007/978-3-319-27801-8_6
Publikováno v:
Data-Driven Numerical Modelling in Geodynamics: Methods and Applications ISBN: 9783319278001
Following Ismail-Zadeh et al. (Geophys J Int 170:1381–1398, 2007), we compare in this chapters the backward advection (BAD), variational (VAR), and quasi-reversibility (QRV) methods in terms of solution stability, convergence, and accuracy, time in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a5d26e6ebf71617a1221437fcc05de
https://doi.org/10.1007/978-3-319-27801-8_7
https://doi.org/10.1007/978-3-319-27801-8_7