What is it about?
Multivariate statistical methods including factor analysis (FA), cluster analysis (CA), and correlation analysis have been used to evaluate the spatial variations and the interpretation of a complex water quality data set.
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Why is it important?
This study shows the efficacy of multivariate statistical methods as an efficient exploratory tool for the interpretation of complex water quality data sets and to establish the main factors and mechanisms that control the chemical composition of groundwater which are important and effective for the management of water quality.
Perspectives
I hope this article makes people understand the use of multivariate statistical methods as an efficient exploratory tool for the interpretation of complex water quality data sets and to establish the main factors and mechanisms that control the chemical composition of groundwater in the study area which are important and effective for the management of water quality.
Mr Oluseun Adetola Sanuade
Oklahoma State University System
Read the Original
This page is a summary of: The use of multivariate statistical analysis in the assessment of groundwater hydrochemistry in some parts of southwestern Nigeria, Arabian Journal of Geosciences, August 2017, Springer Science + Business Media,
DOI: 10.1007/s12517-017-3125-7.
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