Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/75036
Title: Statistical analysis of the spatial distribution of impurities in the snow cover in the vicinity of copper mine in the Middle Ural of Russia
Authors: Subbotina, I.
Buevich, A.
Medvedev, A.
Sergeev, A.
Sergeeva, M.
Kazakova, H.
Kosachenko, A.
Moskaleva, A.
Issue Date: 2018
Publisher: American Institute of Physics Inc.
Citation: Statistical analysis of the spatial distribution of impurities in the snow cover in the vicinity of copper mine in the Middle Ural of Russia / I. Subbotina, A. Buevich, A. Medvedev et al. // AIP Conference Proceedings. — 2018. — Vol. 2048. — 60012.
Abstract: Statistical analysis of the monitoring data of industrial enterprises influence zones is an important part of the researches related to natural environment changes. In present study, a cluster analysis of the elemental composition of the snow cover in the vicinity of a copper mine was carried out. The data were obtained as a result of the chemical analysis of the snow samples collected during annual environmental monitoring in the region of Rezh town (the Middle Ural of Russia), where Safyanovsky Copper Mine and Rezhevsky Nickel Plant are located. The elements identified by chemical analysis were grouped according to the strength of the correlation bond. The cluster analysis of these groups made it possible to identify and separate the influence zones of the Plant, Mine and other industrial objects located in the area. The obtained results became the basis for adjusting the snow cover monitoring scheme. © 2018 Author(s).
URI: http://hdl.handle.net/10995/75036
metadata.dc.rights: info:eu-repo/semantics/openAccess
Conference name: 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018
Conference date: 8 June 2018 through 13 June 2018
SCOPUS ID: 85058776758
WOS ID: WOS:000468108800109
PURE ID: 8544218
ISSN: 0094-243X
DOI: 10.1063/1.5082127
metadata.dc.description.sponsorship: The research is supported by the project of the Ural Branch of Russian Academy of Sciences No. 18-5-2345-56.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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