Институт социологии
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Snezhko V., Benin D., Lukyanets A., Kondratenko L. Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis. Asian Journal of Water, Environment and Pollution, 2020, vol. 17, no. 4, pp. 73-80.



Snezhko V., Benin D., Lukyanets A., Kondratenko L. Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis. Asian Journal of Water, Environment and Pollution, 2020, vol. 17, no. 4, pp. 73-80.
ISSN 0972-9860
DOI 10.3233/AJW200053

Размещена на сайте: 04.12.20

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Snezhko V., Benin D., Lukyanets A., Kondratenko L. Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis. Asian Journal of Water, Environment and Pollution, 2020, vol. 17, no. 4, pp. 73-80.
DOI: 10.3233/AJW200053

Аннотация

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

Ключевые слова:

hydro-ecological status hydrological regime mathematical model multivariate cluster analysis the kuban river basin

Авторы:

Снежко В., Бенин Д., Лукьянец А.С., Кондратенко Л.

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