Issue |
E3S Web Conf.
Volume 98, 2019
16th International Symposium on Water-Rock Interaction (WRI-16) and 13th International Symposium on Applied Isotope Geochemistry (1st IAGC International Conference)
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Article Number | 07012 | |
Number of page(s) | 6 | |
Section | Geochemistry of Natural Waters: From Atmospheric Precipitations to Deep Brines | |
DOI | https://doi.org/10.1051/e3sconf/20199807012 | |
Published online | 07 June 2019 |
Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
Sobolev Institute of Geology and Mineralogy, Siberian Branch of Russian Academy of Sciences, 630090, 3, Koptyug av., Novosibirsk, Russia
* Corresponding author: marina.kolpakova@gmail.com
Major ion and trace elements chemistry of fifty-eight water samples of southern part of Western Siberia (Russia) were analysed with a suite of statistical techniques (using R programming language), in an effort to explain the key processes affecting chemical composition of saline lakes. The database included data about well, river, and lake waters and groundwater. According to performed cluster analysis of chemical data, all lakes in the area can be divided in to 5 main groups and their chemical composition very similar to rivers and deep groundwater. Shallow groundwaters are more enriched in Ca2+ and Mg2+. Principal component analysis (PCA) identified four main principal components, with the first principal component (PC1) accounting for 44.3% and representing the process of salinization, and PC2 and PC3 (17.9 and 8.6% of total variance) controlled by water-rock interaction process of carbonates/sulphates precipitation and aluminosilicates formation.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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