Groundwater is one of the major sources of water. It is affected by a number of natural and anthropogenic factors. As groundwater use has increased, issue associated with the quality of groundwater resources have likewise grown in importance. In this study, mathematical modelling technique for water quality index computation and multivariate statistical using Principal Component Analysis (PCA) were employed to evaluate and analyze the variability of ground water quality in parts of Benin City, Edo State, Nigeria. Various ground water quality parameters such as pH, turbidity, total suspended solids (TSS), Electrical Conductivity (EC), Total Dissolved Solids (TDS), Dissolved Oxygen (DO), phosphate, nitrate, sulphate, total solids (TS), sodium, potassium, calcium, magnesium, iron, lead, cadmium, zinc and chloride from twelve boreholes of known coordinates were investigated. Results of the computed water quality index indicate a latent variation in ground water quality of the study area. Although the index revealed an adequate ground water quality in the study area, a variation of 85.610% to 94.204% was observed. In addition, results of the principal component analysis (PCA) revealed that; phosphate, chloride and total dissolved solids are the three most important variables affecting the quality of the borehole water within the study area.
https://lupinepublishers.com/civil-engineering-journal/fulltext/physico-chemical-analysis-and-modelling-of-ground-water-quality-parameters-using-water-quality-index-method-and-principal-component-analysis.ID.000134.php
For more Lupine Publishers Open Access Journals Please visit our website: http://www.lupinepublishers.com/
For more Civil Engineering Research Journal articles Please Click Here: https://lupinepublishers.com/civil-engineering-journal/
No comments:
Post a Comment