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Predictive Model to Monitor the Rate of Dissolved Calcium Influenced by Void Ratio in Coarse Bed Formation in Coastal Area of Amadi-Ama Area of Rivers State
Journal of Civil, Construction and Environmental Engineering
Volume 2, Issue 5, October 2017, Pages: 134-139
Received: Sep. 30, 2016; Accepted: May 13, 2017; Published: Oct. 20, 2017
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Eluozo Solomon Ndubuisi, Department Civil Engineering, Gregory University, Shawnee, Nigeria
Ekeleme Anthony Chibuzo, Department Civil Engineering, Gregory University, Shawnee, Nigeria
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This paper investigate the rate of dissolved calcium deposition in fine and coarse formation, the study is to monitor the rate of dissolved calcium content at different lithostratgraphy in the study location. Homogeneous fine and coarse formation were observed to deposit in the study location, organic soil were insignificant since the formation deposited slight quantity, the study observed predominant homogeneous fine and coarse soil strata, the permeability and porosity deposition were at high rate in various formation, the reflection of porosity and permeability were experienced on decreasing rate of dissolved calcium to phreatic beds. To monitor the deposition of dissolved calcium, the developed model expressed simulation values that were compared with experimental values, and both parameters express best fits validating the developed model. Experts will definitely apply the concept as a useful tool in monitoring and evaluation of dissolved calcium in unconfined beds.
Predictive Model, Dissolved Nitrogen, Silty and Grave Bed
To cite this article
Eluozo Solomon Ndubuisi, Ekeleme Anthony Chibuzo, Predictive Model to Monitor the Rate of Dissolved Calcium Influenced by Void Ratio in Coarse Bed Formation in Coastal Area of Amadi-Ama Area of Rivers State, Journal of Civil, Construction and Environmental Engineering. Vol. 2, No. 5, 2017, pp. 134-139. doi: 10.11648/j.jccee.20170205.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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