SUMMARY
Analytical tools employed in this study which include water quality index modeling, geospatial analysis and principal component analysis where found effective in providing suitable information on:
i. The quality of ground water witnin the study location.
ii. The geospatial variation of ground water quality parameters within and around the study location in addition to
iii. Understanding the contributions of each water quality parametrs to the overall quality of ground water within the study area
Information derived from the analysis was therefore employed as baseline for the design of the treatment unit. The design was targeted to solving the basic issues derived from the principal component analysis which reveal that pH, total dissolved solids and heavy metals such as copper, nickel and lead were the most critical parameters affecting the quality of ground water around the study area. These parameters were selected as most critical based on the results of the vertical decentralization of the rotated component matrix in which pH, Tds, lead, copper and nickel were observed to have the highest factor loading of 0.877, 0.969, 0.940, 0.773 and 0.915 respectively.
