Nuclear, radiation and environmental safety
Article Name | Assessment of Water Body State in Rostov NPP Area Using the Principal Components Method |
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Authors | E.A. Abidova (1), O.I. Bejsug2, O.E. Draka (3), А.E. Dembickij (4), O.Yu. Pugachyova (5) |
Address | Volgodonsk Engineering Technical Institute the branch of National Research Nuclear University “MEPhI”, Lenin St., 73/94, Volgodonsk, Rostov region, Russia 347360 (1)ORCID iD: 0000-0003-0258-5543 Wos Researher ID: O-1870-2018 e-mail: nii_energomash@mail.ru (2)ORCID iD: 0000-0001-9218-9354 Wos Researher ID: O-6513-2018 e-mail: nii_energomash@mail.ru (3)ORCID iD: 0000-0002-3397-6830 Wos Researher ID: 0-2222-2018 e-mail: nii_energomash@mail.ru (4)ORCID iD: 0000-0003-4616-621X Wos Researher ID: O-3133-2018 e-mail: nii_energomash@mail.ru (5)ORCID iD: 0000-0002-9168-3008 Wos Researher ID: O-2103-2018 e-mail: nii_energomash@mail.ru |
Abstract | The principal component method is used to analyze the environmental monitoring data of the river Don. The method made it possible to estimate a large number of heterogeneous and rapidly changing parameters. The results indicate the possibility of automatic classification of the water body state on the basis of observation of its chemical, biological and physical parameters. The proposed classification model can be applied to the processing of monitoring data of various ecosystems, including Tsimlyansk reservoir and water-cooler of Rostov NPP. Water samples are taken at stationary points and sections of the hydrochemical network for monitoring surface land waters. |
Keywords | principal components method, eigenvalue spectrum, a matrix of accounts, the matrix of loadings, extracellular esterases activity, alkaline phosphatase of zeston |
Language | Russian |
References | [1] Galiaskarov M.R., Rudakov I.V., Rusinov L.A. Sravnitel`ny`j analiz xarakteristik monitoringa texnologicheskogo processa s ispol`zovaniem linejnogo i nelinejnogo metoda glavny`x komponent [Comparative Analysis of Process Monitoring Performance Using Linear and Non-Linear Method of Principal Components]. Izvestiya Sankt-Peterburgskogo gosudarstvennogo texnologicheskogo instituta (texnicheskogo universiteta) [Proceedings of the St.Petersburg State Technological Institute (technical university)]. 2013. № 22 (48). Р. 106-110 (in Russian). |
Papers | 17 - 23 |
URL Article | URL Article |
Open Article |