Model prediction to monitor the influence of porosity effect on shigella transport to ground water aquifers in elele rivers states of Nigeria
Keywords:
Model prediction, Transport, WaterAbstract
Model prediction to monitor the influence of porosity effecton shigella transport to ground water aquifers has been examined, the modelwhere generated from a mathematical equation from an experimental values, themodel equation from an excel plot where resolved to produced a theoreticalvalues, the application of least square method where applied to resolvedpolynomial generated equations, the theoretical values where compared withother experimental values from differentlocations, both parameters developed a valuable fit. this implies that the model can be applied to determine that degree of porosity in various formation,high porosity rate where found to influence the degree ofshigella concentration, this is confirmed through the deposited degree ofporosity at different formations, high degree of hydraulic conductivity whereexperienced in the study location, base on the deposition of high degree of porosity recorded between 0.2to 5m, although some proof to be very low, but it can not be compared when the depth increased to homogenousfine and coarse formation. The model will definitely be a benchmark to monitordegree of porosity that reflects on the transport of shigella to ground wateraquifers in the study area.
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Copyright (c) 2013 Solomon Ndubuisi Eluozo
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