Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia

Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia

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...

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Main Author: Kolpakova Marina
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_07012.pdf
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spelling doaj-cb8f6e231bae477fbc35f2a0228e6b252021-04-02T11:41:15ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01980701210.1051/e3sconf/20199807012e3sconf_wri-162018_07012Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, RussiaKolpakova Marina0Sobolev Institute of Geology and Mineralogy, Siberian Branch of Russian Academy of SciencesMajor 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_07012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Kolpakova Marina
spellingShingle Kolpakova Marina
Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
E3S Web of Conferences
author_facet Kolpakova Marina
author_sort Kolpakova Marina
title Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
title_short Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
title_full Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
title_fullStr Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
title_full_unstemmed Using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of Western Siberia, Russia
title_sort using the multivariate statistical analysis for understanding of chemical composition of saline lakes in south part of western siberia, russia
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_07012.pdf
work_keys_str_mv AT kolpakovamarina usingthemultivariatestatisticalanalysisforunderstandingofchemicalcompositionofsalinelakesinsouthpartofwesternsiberiarussia
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