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AIP Conference ProceedingsVolume 2293, 24 November 2020, Article number 120019International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019; Sheraton Rhodes ResortRhodes; Greece; 23 September 2019 through 28 September 2019; Code 165330

The forecast of the methane concentration changes for the different time periods on the arctic island bely(Conference Paper)(Open Access)

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  • aUral Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation
  • bInstitute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation

Abstract

The 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.

  • ISSN: 0094243X
  • ISBN: 978-073544025-8
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1063/5.0027180
  • Document Type: Conference Paper
  • Volume Editors: Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Tsitouras C.
  • Publisher: American Institute of Physics Inc.

  Medvedev, A.; Ural Federal University, Mira str., 19, Ekaterinburg, Russian Federation;
© Copyright 2020 Elsevier B.V., All rights reserved.

Cited by 2 documents

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