Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis

Article type: Research Article

Authors: Snezhko, Vera^{; *} | Benin, Dmitrii | Lukyanets, Artem^{a; b} | Kondratenko, Larisa^c

Affiliations: Department of Information Technology in APC, Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation | [a] Department of Demographic and Migration Policy, Moscow State Institute of International Relations (MGIMO), Moscow, Russian Federation | [b] Center for Social Demography, Institute of Socio-Political Research FCTAS RAS, Moscow, Russian Federation | [c] Department of Advanced Mathematics, Kuban State Agrarian University I. T. Trubilin, Krasnodar, Russian Federation

Correspondence: [*] Corresponding Author. snezhkover22@rambler.ru

Abstract: Considering features of hydrological conditions for hydro-chemical system, this paper analyses the performance of the hydro-ecological status of the Kuban river basin.. The results of the study on water chemical composition depending on the distance from the source are presented. By comparing the results with the reference values of water quality, increased aluminium, zinc, and copper content was established. Respective dendrograms of hydro-ecological studies obtained according to performed analysis for the Kuban River and its tributaries are presented. The relevance of the findings received is p<0.0005 and the correlation coefficient corresponds to 0.935...1. The results of multivariate cluster analysis showed that the Kuban basin has an increased content of particular heavy metals such as aluminium, copper, and zinc.

Keywords: Hydro-ecological status, hydrological regime, mathematical model, multivariate cluster analysis, the Kuban river basin

DOI: 10.3233/AJW200053

Journal: Asian Journal of Water, Environment and Pollution, vol. 17, no. 4, pp. 73-80, 2020