Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/101530
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dc.contributor.authorMedvedev, A.en
dc.contributor.authorSergeev, A.en
dc.contributor.authorShichkin, A.en
dc.contributor.authorBaglaeva, E.en
dc.contributor.authorSubbotina, I.en
dc.contributor.authorBuevich, A.en
dc.contributor.authorSergeeva, M.en
dc.date.accessioned2021-08-31T14:57:56Z-
dc.date.available2021-08-31T14:57:56Z-
dc.date.issued2020-
dc.identifier.citationThe forecast of the methane concentration changes for the different time periods on the arctic island bely / A. Medvedev, A. Sergeev, A. Shichkin, et al. — DOI 10.1063/5.0027180 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 120019.en
dc.identifier.isbn9780735440258-
dc.identifier.issn0094243X-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097983298&doi=10.1063%2f5.0027180&partnerID=40&md5=a7e4be13de167c1b3a885cbf803db69f
dc.identifier.urihttp://elar.urfu.ru/handle/10995/101530-
dc.description.abstractThe paper predicts the changes in the concentration of one of the main greenhouse gases - methane (CH4). The forecast was made for three different time periods, each of which had its own characteristics of the dynamics of changes in the concentration of CH4. Data for the study were collected while monitoring the content of the main greenhouse gases in the surface layer of atmospheric air in the Russian Arctic (Bely Island, Yamalo-Nenets Autonomous Okrug). We compared the results of the models prediction based on the two types of artificial neural networks: Elman and nonlinear autoregressive neural network with external input (NARX). NARX showed a high prediction accuracy for all studied time intervals. © 2020 American Institute of Physics Inc.. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAIP Conf. Proc.2
dc.sourceAIP Conference Proceedingsen
dc.titleThe forecast of the methane concentration changes for the different time periods on the arctic island belyen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1063/5.0027180-
dc.identifier.scopus85097983298-
local.contributor.employeeMedvedev, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeSergeev, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeShichkin, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeBaglaeva, E., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeSubbotina, I., Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeBuevich, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeSergeeva, M., Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.volume2293-
dc.identifier.wos000636709500363-
local.contributor.departmentUral Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation
local.contributor.departmentInstitute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.identifier.pure92988d1d-dde1-4fde-90b8-4e9f5a2386bbuuid
local.identifier.pure20396186-
local.description.order120019-
local.identifier.eid2-s2.0-85097983298-
local.identifier.wosWOS:000636709500363-
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