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Data analysis of heavy metal content in riverwater: multivariate statistical analysis and inequality expressions.

Authors :
Leventeli, Yasemin
Yalcin, Fusun
Source :
Journal of Inequalities & Applications; 1/18/2021, Vol. 2021 Issue 1, p1-22, 22p
Publication Year :
2021

Abstract

The purpose of this paper is to use multivariate statistical methods with asymmetric distributions approach, chemical analysis, and inductively coupled plasma–mass spectrometry (ICP-MS) device. We investigate data of heavy metal content from Akcay Riverwater to the Mediterranean involving Finike sea coast at Turkey. We determine the chemical content, origin of heavy metals of the surface water in Akcay River, which flows into the Mediterranean realted to the above-mentioned region by multivariate statistical analysis, pollution indices, and density maps involving numerical comments by numbers. With the help of special numbers represented by special chemical components and simmetric statistical methods given above, in this paper, we obtain many new relations and results. Furhermore, we give some comments, observations, and remarks about the results of this paper. These results have a high potential to be used not only in engineering fields and health sciences, but also in applied mathematics, statistics, and other fields. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10255834
Volume :
2021
Issue :
1
Database :
Complementary Index
Journal :
Journal of Inequalities & Applications
Publication Type :
Academic Journal
Accession number :
148190117
Full Text :
https://doi.org/10.1186/s13660-021-02549-3