Volume 37, Number 4
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Science, Technology and Development Vol. 37 (4), 2018
Research Article
Assessment of Ground Water Quality of Dera Ismail Khan, Pakistan, Using Multivariate Statistical Approach
Shafiq ur Rehman, Zakir Hussain, Shabnam Zafar, Hidayat Ullah, Shakeel Badshah, Sheikh Saeed Ahmad and Javeria Saleem
Abstract: The current study was carried to determine the ground water quality of three tehsils of Dera Ismail Khan District. Water sampling was carried out, using standard protocols from various sources of water, i.e., Tubewells and Hand-pumps. The collected water samples were analyzed for 13 water quality parameters, employing standard methods. Spatial variability and source identification was done, using the integrated approach of multivariate analysis. It was observed that some of the water quality parameters, such as, total dissolved solids (TDS), sulfate, fluoride and arsenic, were beyond WHO guideline values. Cluster analysis (CA) was found an ideal tool in determining the spatial variability among different sites. The principal component analysis (PCA) determined the most influential parameters regulating the hydrochemistry of ground water. Water of the study area was dominated by salts of sodium, calcium and magnesium. Hydrochemistry of the study area was found to be significantly influenced by water rock interactions and by agricultural activities. Strong correlation was noted between certain physico-chemical parameters. Regular monitoring programs for ground water quality are the dire need of hour to suggest remedial and management strategies in order to safeguard the health of local masses.
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