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dc.contributor.authorKorotkii, A.en
dc.contributor.authorKovtunov, D.en
dc.contributor.authorIsmail-Zadeh, A.en
dc.contributor.authorTsepelev, I.en
dc.contributor.authorMelnik, O.en
dc.date.accessioned2020-09-29T09:47:11Z-
dc.date.available2020-09-29T09:47:11Z-
dc.date.issued2016-
dc.identifier.citationQuantitative reconstruction of thermal and dynamic characteristics of lava flow from surface thermal measurements / A. Korotkii, D. Kovtunov, A. Ismail-Zadeh, I. Tsepelev, et al. . — DOI 10.1093/gji/ggw117 // Geophysical Journal International. — 2016. — Vol. 3. — Iss. 205. — P. 1767-1779.en
dc.identifier.issn0956-540X-
dc.identifier.otherhttps://academic.oup.com/gji/article-pdf/205/3/1767/27641673/ggw117.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.otheref6f326d-5c8e-4fc1-a357-17819482ddcepure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84970024656m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/90388-
dc.description.abstractWe 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 one part of the model boundary we determine the missing condition at the remaining part of the boundary. We develop a numerical approach to the mathematical problem in the case of steady-state flow. Assuming that the temperature and the heat flow are prescribed at the upper surface of the model domain, we determine the flow characteristics in the entire model domain using a variational (adjoint) method. We have performed computations of model examples and showed that in the case of smooth input data the lava temperature and the flow velocity can be reconstructed with a high accuracy. As expected, a noise imposed on the smooth input data results in a less accurate solution, but still acceptable below some noise level. Also we analyse the influence of optimization methods on the solution convergence rate. The proposed method for reconstruction of physical parameters of lava flows can also be applied to other problems in geophysical fluid flows. © The Authors 2016.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherOxford University Pressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceGeophysical Journal Internationalen
dc.subjectEFFUSIVE VOLCANISMen
dc.subjectINVERSE THEORYen
dc.subjectNUMERICAL APPROXIMATIONS AND ANALYSISen
dc.subjectNUMERICAL SOLUTIONSen
dc.titleQuantitative reconstruction of thermal and dynamic characteristics of lava flow from surface thermal measurementsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1093/gji/ggw117-
dc.identifier.scopus84970024656-
local.affiliationInstitute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federationen
local.affiliationInstitute of Mathematics and Mechanics, Russian Academy of Sciences, Yekaterinburg, Russian Federationen
local.affiliationInstitute of Mathematics and Computer Sciences, Ural Federal University, Yekaterinburg, Russian Federationen
local.affiliationInstitute of Applied Geosciences, Karlsruhe Institute of Technology, Karlsruhe, Germanyen
local.affiliationInstitut de Physique du Globe de Paris, Paris, Franceen
local.affiliationInstitute of Mechanics, Lomonosov Moscow State University, Moscow, Russian Federationen
local.contributor.employeeKorotkii, A., Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation, Institute of Mathematics and Mechanics, Russian Academy of Sciences, Yekaterinburg, Russian Federation, Institute of Mathematics and Computer Sciences, Ural Federal University, Yekaterinburg, Russian Federationru
local.contributor.employeeKovtunov, D., Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation, Institute of Mathematics and Mechanics, Russian Academy of Sciences, Yekaterinburg, Russian Federationru
local.contributor.employeeIsmail-Zadeh, A., Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation, Institute of Applied Geosciences, Karlsruhe Institute of Technology, Karlsruhe, Germany, Institut de Physique du Globe de Paris, Paris, Franceru
local.contributor.employeeTsepelev, I., Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation, Institute of Mathematics and Mechanics, Russian Academy of Sciences, Yekaterinburg, Russian Federationru
local.contributor.employeeMelnik, O., Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation, Institute of Mechanics, Lomonosov Moscow State University, Moscow, Russian Federationru
local.description.firstpage1767-
local.description.lastpage1779-
local.issue205-
local.volume3-
dc.identifier.wos000376380000030-
local.identifier.pure865322-
local.description.orderggw096-
local.identifier.eid2-s2.0-84970024656-
local.identifier.wosWOS:000376380000030-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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