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Use of Multivariate Statistical Analysis for the Assessment of Groundwater Chemical Variations in Wadi Bani Malik Area, Saudi Arabia

  • Authors (legacy)
    Corresponding: Faisal Rehman
    Co-authors: Rehman F., Cheema T., Lisa M., Azeem T., Ali Naseem A., Khan Z., Rehman F. and Rehman S.U.
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  • gnest_02237_published.pdf
  • Paper ID
    gnest_02237
  • Paper status
    Published
  • Date paper submitted
  • Date paper accepted
  • Date paper online
DOI
https://doi.org/10.30955/gnj.002237
Abstract

Multivariate statistical analysis including cluster analysis, factor analysis and correlation coefficient was applied to the groundwater samples to understand the groundwater condition in Wadi Bani Malik area. Water samples collected from the study area were analysed for physical parameters, major cations and major anions. The groundwater quality is not good in this area and the physicochemical parameters go beyond the acceptable limits of the Kingdom of Saudi Arabia and WHO drinking water standards. The water type in the study area was primarily NaCl. Correlation coefficients were determined among different parameters and then regression analysis was performed to realize the linear relationship between the best correlated parameters. Results of factor analysis specify that factor 1 is dominant and is responsible for 45.5% of the total variance and is dominated by Cl-, Na+, Mg++ and K+. Ground water samples can be divided into four clusters.

Keywords
statistical sample analysis groundwater parameter
Cite this article
Rehman, F. et al. (2018) “Use of Multivariate Statistical Analysis for the Assessment of Groundwater Chemical Variations in Wadi Bani Malik Area, Saudi Arabia”, Global NEST Journal, 20(2). Available at: https://doi.org/10.30955/gnj.002237.
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  • gnest_02237_published.pdf