Volume 2, Issue 5, October 2017, Page: 51-60
Predicting Achromobacter Transport Pressured by Deposition of Carbon in Heterogeneous Sand Gravel Formation, Trans-Amadi Industrial Layout, Port Harcourt
Eluozo Solomon Ndubuisi, Department of Civil Engineering, Gregory University, Shawnee, Nigeria
Kenneth Miebaka Oba, Department of Civil Engineering, Rivers State University, Port Harcourt, Nigeria
Received: Oct. 2, 2016;       Accepted: Apr. 24, 2017;       Published: Oct. 28, 2017
DOI: 10.11648/j.ijbbmb.20170205.13      View  1443      Downloads  71
This paper expresses the predominant heterogeneous transport process of Achromobacter in the study area. These contaminant were monitored through mathematical modeling approach, the study were to predict the rate of concentration at different strata to unconfined bed, the expression from these derived model generated numerous theoretical values through simulation, the generated values through graphical representation expresses lots of variation in concentration at different formation, this condition were observed to reflect on the behaviour of the microbes in terms of transport influenced by predominant permeability coefficient, including deposition of micronutrient under predominant heterogeneous setting. The influences from this formation characteristics expresses the reflection of various rate of concentration observed in these figures, the deposition of Achromobacter through this developed model has definitely analyzed the level of transport in the study location, the study is imperative because experts will apply this developed tools in monitoring Achromobacter in soil and water environment.
Predictive Model, Achromobacter, Heterogeneous and Formation
To cite this article
Eluozo Solomon Ndubuisi, Kenneth Miebaka Oba, Predicting Achromobacter Transport Pressured by Deposition of Carbon in Heterogeneous Sand Gravel Formation, Trans-Amadi Industrial Layout, Port Harcourt, International Journal of Biochemistry, Biophysics & Molecular Biology. Vol. 2, No. 5, 2017, pp. 51-60. doi: 10.11648/j.ijbbmb.20170205.13
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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