Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis
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 р<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.
Belyuchenko, I.S. (2016). Cultivated lands of Kuban and Features of their development. International Journal of Environmental and Science Education, 11(13): 6255-6276.
Bhuiyan, C., Singh, R.P. and F.N. Kogan (2006). Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data.International Journal of Applied Earth Observation and Geoinformation, 8(4): 289-302.
Bouguerne, A., Boudoukha, A., Benkhaled, A. and A.H. Mebarkia (2017). Assessment of surface water quality of Ain Zada dam (Algeria) using multivariate statistical techniques. International Journal of River Basin Management, 15(2): 133-143.
De Jalón, S.G., Del Tánago, M.G. and D.G. De Jalón (2019). A new approach for assessing natural patterns of flow variability and hydrological alterations: The case of the Spanish rivers. Journal of Environmental Management,233: 200-210.
Evstigneev, V.P., Lemeshko, N.A. and L.P. Ostroumova (2020). Hydrological regime of the Black and Azov Seas catchment under the global warming. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing, p. 012008.
Gholizadeh, M.H., Melesse, A.M. and L. Reddi (2016). Analysis of spatiotemporal trends of water quality parameters using cluster analysis in South Florida. In: World Environmental and Water Resources Congress.
pp. 519-528.
Hyvlud, A., Sabadash, V., Gumnitsky, J. and N. Ripak (2019). Statics and kinetics of albumin adsorption by natural zeolite. Chemistry and Chemical Technology,13(1): 95-100.
Kawanisi, K., Zhu, X.-H., Fan, X. and I. Nistor (2017). Monitoring tidal bores using acoustic tomography system. Journal of Coastal Research, 33(1): 96-104.
Kipkeeva, P.A., Volosukhin, Ya.V., Potapenko, Yu.Ya. and N.V. Shubayeva (2018). Landscape and geoecological analysis of small river basins within nature protection of mountain territories. In: International Symposium Engineering and Earth Sciences: Applied and Fundamental Research (ISEES 2018). Atlantis Press, pp. 26-31.
Kuchin, V., Dvoynikov, M. and M. Nutskova (2020). Isolation through a viscoelastic surfactant of a fracable hydrocarbon- containing formation. Journal of Physics: Conference Series, 1478: 012022.
Olden, J.D., Kennard, M.J. and B.J. Pusey (2012). A framework for hydrologic classification with a review of methodologies and applications in ecohydrology. Ecohydrology, 5(4): 503-518.
Praskievicz, S. and C. Luo (2019). Unsupervised hydrologic classification of rivers: Watershed controls on natural and anthropogenic flow regimes, Alabama, USA. Hydrological Processes, 33(8): 1231-1244.
Qdais, H.A., Begday, I.V., Katorgin, I.Y., Shkarlet, K.Y., Kharin, K,V., Bluzhina, A.S. and A.A. Likhovid (2018). Assessment of metals pollution from tailing sites in the North Caucuses Region, Russia. Mine Water and the Environment, 37(4): 815-824.
Rotiroti, M., Zanotti, C., Fumagalli, L., Taviani, S., Stefania, G.A., Patelli, M., Nava, V., Soler, V., Sacchi, E. and B. Leoni (2019). Multivariate statistical analysis supporting the hydrochemical characterization of groundwater and surface water: A case study in northern Italy. Rendiconti Online Della Società Geologica Italiana, 47: 90-96.
Sabadash, V., Gumnitsky, J., Lyuta, O. and I. Pochapska (2018). Thermodynamics of (NH4+) cation adsorption under static conditions. Chemistry and Chemical Technology, 12(2): 143-146.
Sabadash, V., Mylanyk, O., Matsuska, O. and J. Gumnitsky (2017). Kinetic regularities of copper ions adsorption by natural zeolite. Chemistry and Chemical Technology, 4(11): 459-462.
Simmonds, V., Moazzen, M. and D. Selby (2017). Re-Os dating of mineralization in Siah Kamar porphyry Mo deposit (NW Iran) and investigating on its temporal relationship with porphyry Cu-Mo deposits in the southern Lesser Caucasus, NW and central Iran. In: EGU General Assembly Conference Abstracts. 665 p.
Sun, J., Pan, L., Zhan, Y., Lu, H., Tsang, D.C.W., Liu, W., Wang, X., Li, X. and L. Zhu (2016). Contamination of phthalate esters, organochlorine pesticides and polybrominated diphenyl ethers in agricultural soils from the Yangtze River Delta of China. Science of the Total Environment, 544: 70-76.
Tabaghi, P., Dokmanić, I. and M. Vetterli (2019a). Kinetic euclidean distance matrices. IEEE Transactions on Signal Processing, 68: 452-465.