This paper examined chromium transport through dispersion and storage coefficient influences. The study has monitored the deposition of chromium in silty and fine sand formation. The developed model expressed the behaviour of chromium in the study location, storage coefficient and dispersions of chromium were examined through the behaviour of chromium transport in silty and fine sand formation, the behaviour were expressed through graphical representation, the fluctuation on concentration reflect the influences from porosity variation thus dispersion and storage coefficient. This generated slight accumulation of chromium deposition in silty and fine sand formation, this condition was examined through the rate of chromium deposition; some fluctuations were experienced from the experimental values for model validation. The heterogeneous settings in the formation were also observed, the developed model was compared with other experimental values, and both parameters expressed favourable fits validating the model.
Published in | American Journal of Bioscience and Bioengineering (Volume 5, Issue 2) |
DOI | 10.11648/j.bio.20170502.11 |
Page(s) | 56-64 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Dispersion, Storage Coefficients, Chromium and Heterogeneous Formation
[1] | Katherine C. Goldfarb 1†, Ulas Karaoz 1, China A. Hanson 2, Clark A. Santee 1, Mark A. Bradford 3, Kathleen K. Treseder 2, Matthew D. Wallenstein 4 and Eoin L. Brodie 1 2011 Differential growth responses of soil bacterial taxa to carbon substrates of varying chemical recalcitrance frontier microbiology. |
[2] | Artursson, V., Finlay, R. D., and Jansson, J. K. (2005). Combined bromodeoxyuridineimmunocapture and terminal-restriction fragment length polymorphism analysis highlights differences in the active soil bacterial metagenome due to glomusmosseae inoculation or plant species. Environ. Microbiol. 7, 1952–1966. |
[3] | Artursson, V., and Jansson, J. K. (2003). Use of bromodeoxyuridineimmunocapture to identify active bacteria associated with arbuscularmycorrhizal hyphae. Appl. Environ. Microbiol. 69, 6208–6215. |
[4] | Allison, S. D., Czimczik, C. I., and Treseder, K. K. (2008). Microbial activity and soil respiration under nitrogen addition in alaskan boreal forest. Glob. Change Biol. 14, 1156–1168. |
[5] | Buckley, D. H., Huangyutitham, V., Hsu, S. F., and Nelson, T. A. (2007). Stable isotope probing with 15N2 reveals novel noncultivateddiazotrophs in soil. Appl. Environ. Microbiol. 73, 3196–3204. |
[6] | Borneman, J. (1999). Cultureindependent identification of microorganisms that respond to specified stimuli. Appl. Environ. Microbiol. 65, 3398–3400. |
[7] | Fierer, N., Bradford, M. A., and Jackson, R. B. (2007a). Toward and ecological classification of soil bacteria. Ecology 88, 1354–1364. |
[8] | Papke, R. T., and Ward, D. M. (2004). The importance of physical isolation to microbial diversification. FEMSMicrobiol. Ecol. 48, 293–303. |
[9] | Zhou, J., Xia, B., Treves, D. S., Wu, L. Y., Marsh, T. L., O’Neill, R. V., Palumbo, A. V., and Tiedje, J. M. (2002). Spatial and resource factors influencing high microbial diversity in soil. Appl. Environ. Microbiol. 68, 326–334. |
[10] | Waldrop, M. P., and Firestone, M. K. (2004). Microbial community utilization of recalcitrant and simple carbon compounds: impact of oak-woodland plant communities. Oecologia 138, 275–284. |
[11] | Wilson, M., and Lindow, S. E. (1994). Coexistence among epiphytic bacterial populations mediated through nutritional resource partitioning. Appl. Environ. Microbiol. 60, 4468–4477. |
[12] | Drenovsky, R. E., Steenwerth, K. L., Jackson, L. E., and Scow, K. M. (2009). Land use and climatic factors structure regional patterns in soil microbial communities. Glob. Ecol. Biogeogr. 19, 27–39. |
[13] | Lauber, C. L., Hamady, M., Knight, R., and Fierer, N. (2009). Pyrosequencingbased assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Appl. Environ. Microbiol. 75, 5111–5120. |
[14] | Chu, H., Fierer, N., Lauber, C. L., Caporaso, J. G., Knight, R., and Grogan, P. (2010). Soil bacterial diversity in the arctic is not fundamentally different from that found in other biomes. Environ. Microbiol. 12, 2998–3006. |
[15] | Green, J. L., Bohannan, B. J. M., and Whitaker, R. J. (2008). Microbial biogeography: from taxonomy to traits. Science 320, 1039–1043. |
[16] | Stein, L. Y., and Nicol, G. W. (2011). Grand challenges in terrestrial microbiology. Front. Microbiol. 2:6. doi: 10.3389/fmicb.2011.00006 Stein, L. Y., and Nicol, G. W. (2011). Grand challenges in terrestrial microbiology. Front. Microbiol. 2:6. doi: 10.3389/fmicb.2011.00006. |
[17] | Radajewski, S., Ineson, P., Parekh, N. R., and Murrell, J. C. (2000). Stableisotope probing as a tool in microbial ecology. Nature 403, 646–649. |
[18] | Griffiths, R. I., Manefield, M., Ostle, N., McNamara, N., O’Donnell, A. G., Bailey, M. J., and Whiteley, A. S. (2004). 13CO2 pulse labelling of plants in tandem with stable isotope robing: methodological considerations for examining microbial function in the rhizosphere. J. Microbiol. Methods 58, 119–129. |
[19] | Feth El Zahar, H., Wafa, A., Richard, C., Thierry, H., Christine, M., Marie- France, M., Christophe, M., Lionel, R., Jèrùme, B., and Odile, B. (2007). Identification of cellulolytic bacteria in soil by stable isotope probing. Environ. Microbiol. 9, 625–634. |
[20] | Schwartz, E. (2007). Characterization of growing microorganisms in soil by stable isotope probing with H218O. Appl. Environ. Microbiol. 73, 2541–2546. |
[21] | Urbach, E., Vergin, K. L., and Giovannoni, S. J. (1999). Immunochemical detection and isolation of DNA from metabolically active bacteria. Appl. Environ. Microbiol. 65, 1207–1213. |
[22] | Yin, B., Crowley, D., Sparovek, G., De Melo, W. J., and Borneman, J. (2000). Bacterial functional redundancy along a soil reclamation gradient. Appl. Environ. Microbiol. 66, 4361–4365. |
[23] | Eluozo. S. N and 2 Afiibor B. B (2013) mathematical model to monitor the behaviour of nitrogen on salmonella transport in homogenous fine sand in coastal area of port Harcourt, Niger delta of Nigeria World Journal of Science and Technology Research Vol. 1, No. 3, May 2013, PP: 53–66. |
APA Style
Eluozo S. N., Amagbo L. G. (2017). Modelling Dispersion Influences on Chromium Transport in Heterogeneous Silty and Fine sand Formation, Port Harcourt Industrial Lay-Out, Rivers State of Nigeria. American Journal of Bioscience and Bioengineering, 5(2), 56-64. https://doi.org/10.11648/j.bio.20170502.11
ACS Style
Eluozo S. N.; Amagbo L. G. Modelling Dispersion Influences on Chromium Transport in Heterogeneous Silty and Fine sand Formation, Port Harcourt Industrial Lay-Out, Rivers State of Nigeria. Am. J. BioSci. Bioeng. 2017, 5(2), 56-64. doi: 10.11648/j.bio.20170502.11
AMA Style
Eluozo S. N., Amagbo L. G. Modelling Dispersion Influences on Chromium Transport in Heterogeneous Silty and Fine sand Formation, Port Harcourt Industrial Lay-Out, Rivers State of Nigeria. Am J BioSci Bioeng. 2017;5(2):56-64. doi: 10.11648/j.bio.20170502.11
@article{10.11648/j.bio.20170502.11, author = {Eluozo S. N. and Amagbo L. G.}, title = {Modelling Dispersion Influences on Chromium Transport in Heterogeneous Silty and Fine sand Formation, Port Harcourt Industrial Lay-Out, Rivers State of Nigeria}, journal = {American Journal of Bioscience and Bioengineering}, volume = {5}, number = {2}, pages = {56-64}, doi = {10.11648/j.bio.20170502.11}, url = {https://doi.org/10.11648/j.bio.20170502.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20170502.11}, abstract = {This paper examined chromium transport through dispersion and storage coefficient influences. The study has monitored the deposition of chromium in silty and fine sand formation. The developed model expressed the behaviour of chromium in the study location, storage coefficient and dispersions of chromium were examined through the behaviour of chromium transport in silty and fine sand formation, the behaviour were expressed through graphical representation, the fluctuation on concentration reflect the influences from porosity variation thus dispersion and storage coefficient. This generated slight accumulation of chromium deposition in silty and fine sand formation, this condition was examined through the rate of chromium deposition; some fluctuations were experienced from the experimental values for model validation. The heterogeneous settings in the formation were also observed, the developed model was compared with other experimental values, and both parameters expressed favourable fits validating the model.}, year = {2017} }
TY - JOUR T1 - Modelling Dispersion Influences on Chromium Transport in Heterogeneous Silty and Fine sand Formation, Port Harcourt Industrial Lay-Out, Rivers State of Nigeria AU - Eluozo S. N. AU - Amagbo L. G. Y1 - 2017/03/04 PY - 2017 N1 - https://doi.org/10.11648/j.bio.20170502.11 DO - 10.11648/j.bio.20170502.11 T2 - American Journal of Bioscience and Bioengineering JF - American Journal of Bioscience and Bioengineering JO - American Journal of Bioscience and Bioengineering SP - 56 EP - 64 PB - Science Publishing Group SN - 2328-5893 UR - https://doi.org/10.11648/j.bio.20170502.11 AB - This paper examined chromium transport through dispersion and storage coefficient influences. The study has monitored the deposition of chromium in silty and fine sand formation. The developed model expressed the behaviour of chromium in the study location, storage coefficient and dispersions of chromium were examined through the behaviour of chromium transport in silty and fine sand formation, the behaviour were expressed through graphical representation, the fluctuation on concentration reflect the influences from porosity variation thus dispersion and storage coefficient. This generated slight accumulation of chromium deposition in silty and fine sand formation, this condition was examined through the rate of chromium deposition; some fluctuations were experienced from the experimental values for model validation. The heterogeneous settings in the formation were also observed, the developed model was compared with other experimental values, and both parameters expressed favourable fits validating the model. VL - 5 IS - 2 ER -