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dc.contributor.authorKamnev, Y. K.en
dc.contributor.authorFilimonov, M. Yu.en
dc.contributor.authorShein, A. N.en
dc.contributor.authorVaganova, N. A.en
dc.date.accessioned2022-05-12T08:23:58Z-
dc.date.available2022-05-12T08:23:58Z-
dc.date.issued2021-
dc.identifier.citationAutomated Monitoring the Temperature under Buildings with Pile Foundations in Salekhard / Y. K. Kamnev, M. Yu. Filimonov, A. N. Shein et al. // Geography, Environment, Sustainability. — 2021. — Vol. 14. — Iss. 4. — P. 75-82.en
dc.identifier.issn2071-9388-
dc.identifier.otherAll Open Access, Gold3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111840-
dc.description.abstractIn the paper, we consider a method of ground temperature monitoring using the thermometric boreholes and computer modeling the residential buildings with the pile foundation in the city of Salekhard; note that it is located in the permafrost zone. Construction of the residential buildings and industrial structures in the permafrost zone and their operation is carried out according to the principle of preserving the frozen state of foundations. For ground temperature monitoring, thermometric boreholes are used. In a given time period, the measured temperatures are transferred to a server for further processing. Information about the temperature is an important factor for the safety of the buildings and it can be used to evaluate the piles bearing capacity. It allows to propose options for the soil thermal stabilization or to eliminate the detected technogenic heat sources. An approach of mathematical modeling to reconstruct the temperature fields in the pile foundation base of a building is discussed taking into account the data of temperature monitoring. 24 boreholes were equipped with more than 400 in-borehole thermal sensors for testing the method under the residential building I. The preliminary modeling is carried out for December and January 2020 for the contact thermal conductivity model with phase transition with the upper part of the geological section typical for Salekhard (the sandy soils). The modeling describes the freezing processes during the months in detail. The thermal monitoring allows to say that the ground in the base of the Residential building I is stable. But there are detected heat transfers near the borehole T1 at the depth of 12–14 m. The combination of monitoring and computer modeling makes it possible to assess the safety of the operation of the residential buildings in cities located in the permafrost zones. © 2021, Russian Geographical Society. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherRussian Geographical Societyen1
dc.publisherRussian Geographical Societyen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceGeogr. Environ. Sustain.2
dc.sourceGeography, Environment, Sustainabilityen
dc.subjectCLIMATE WARMINGen
dc.subjectCOMPUTER MODELLINGen
dc.subjectPERMAFROSTen
dc.subjectREMOTE MONITORINGen
dc.subjectTHERMOMETRYen
dc.titleAutomated Monitoring the Temperature under Buildings with Pile Foundations in Salekharden
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.24057/2071-9388-2021-021-
dc.identifier.scopus85124203404-
local.contributor.employeeKamnev, Y.K., Arctic Research Center of the Yamal-Nenets autonomous district, Respubliki str. 20, Yamalo-Nenetskiy Autonomous District, Tyumen region, Salekhard, 629008, Russian Federation; Filimonov, M.Yu., Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya str. 16, Yekaterinburg, 620108, Russian Federation, Ural Federal University Institute, Mira str. 19, Yekaterinburg, 620002, Russian Federation; Shein, A.N., Arctic Research Center of the Yamal-Nenets autonomous district, Respubliki str. 20, Yamalo-Nenetskiy Autonomous District, Tyumen region, Salekhard, 629008, Russian Federation; Vaganova, N.A., Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya str. 16, Yekaterinburg, 620108, Russian Federation, Ural Federal University Institute, Mira str. 19, Yekaterinburg, 620002, Russian Federationen
local.description.firstpage75-
local.description.lastpage82-
local.issue4-
local.volume14-
local.contributor.departmentArctic Research Center of the Yamal-Nenets autonomous district, Respubliki str. 20, Yamalo-Nenetskiy Autonomous District, Tyumen region, Salekhard, 629008, Russian Federation; Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya str. 16, Yekaterinburg, 620108, Russian Federation; Ural Federal University Institute, Mira str. 19, Yekaterinburg, 620002, Russian Federationen
local.identifier.pure29608892-
local.identifier.eid2-s2.0-85124203404-
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