This study was aimed at comparing groundwater quality of
three communities namely Choba, Ekini and Ozuoba, all in Obio/Akpor Local
Government Area in River State, Nigeria. Water samples from the functioning
boreholes in these communities were collected and then analyzed
physiochemically. Analysis of variance and weighted water quality index
approach and multiple regression analyses were the methodologies employed for
analyses of the collected data. Microsoft excel 2016 and an add-in (XLSTAT
2016) were the statistical tools used as aids for data analyses. Additionally,
manual calculation on one-way analysis of variance was carried out to
cross-check the output on XLSTAT software results for Choba Ph values between
wet and dry seasons. At 5% level of significance, the computed results
indicated significance for both manual and XLSTAT outputs. The result from the
analyses revealed poor water quality for Choba and Ozuoba communities with
water quality indexes of 55.14 and 63.34, respectively. Ekini community has a
good water quality rating with water quality index of 29.79. The developed
model for prediction of water quality index for the communities revealed mean
square errors, 0.000 and goodness of fits, 1.000. However, sensitivity analyses
on the developed model parameters revealed that for Choba and Ekini
communities, the major parameters with significant influence on the water
quality index were pH, Turbidity and Al. While for Ozuoba community, pH, and Al
had significant influence on the resultant water quality index based on the
sensitivity analyses on the developed water quality index model.
Author(s) Details Ify L. Nwaogazie
Department of Civil and Environmental Engineering, University of Port Harcourt, Rivers State, Nigeria.
O. P. Osamudiamen
Department of Civil and Environmental Engineering, University of Port Harcourt, Rivers State, Nigeria.
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