This paper evaluates the behaviour of Ammonia deposition in silty clay formation. The lithology of the formation through detailed investigation shows that the rate of hydraulic conductivity was observed to be very low in silty clay soil. the derived model were to monitor the behaviour of the soil in terms of Ammonia deposition in the study area, such conditions were monitored to have hinder the transport of Ammonia due to low deposition including permeation and void ratio of the soil, these were considered to have generated the accumulation of Ammonia in the study area. The developed model were monitored in industrial area were this substances were observed to predominantly deposited in these locations, such condition were essential to monitor and to predict the concentration rate in silty clay formation, the accumulation of this substance may migrate to porous medium and contaminate the Phreatic bed, more so, the deposited substances are known to be one of the substrate, this implies that it will definitely increase the deposition of any other microbial contaminant in the study area thus generate more contaminant in Phreatic bed. The developed model was simulated to generate theoretical values, these were compared with experimental values and both parameters express best fits validating the developed model for the study.
Published in | International Journal of Energy and Environmental Science (Volume 2, Issue 2) |
DOI | 10.11648/j.ijees.20170202.11 |
Page(s) | 27-35 |
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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. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
Ammonia Accumulation, Low Velocity, Silty Clay Formation
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APA Style
Eluozo S. N. (2017). Modelling Accumulation Ammonia Deposition Influenced Low Velocity in Silty Clay Formation, Industrial Layout of Port Harcourt. International Journal of Energy and Environmental Science, 2(2), 27-35. https://doi.org/10.11648/j.ijees.20170202.11
ACS Style
Eluozo S. N. Modelling Accumulation Ammonia Deposition Influenced Low Velocity in Silty Clay Formation, Industrial Layout of Port Harcourt. Int. J. Energy Environ. Sci. 2017, 2(2), 27-35. doi: 10.11648/j.ijees.20170202.11
@article{10.11648/j.ijees.20170202.11, author = {Eluozo S. N.}, title = {Modelling Accumulation Ammonia Deposition Influenced Low Velocity in Silty Clay Formation, Industrial Layout of Port Harcourt}, journal = {International Journal of Energy and Environmental Science}, volume = {2}, number = {2}, pages = {27-35}, doi = {10.11648/j.ijees.20170202.11}, url = {https://doi.org/10.11648/j.ijees.20170202.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20170202.11}, abstract = {This paper evaluates the behaviour of Ammonia deposition in silty clay formation. The lithology of the formation through detailed investigation shows that the rate of hydraulic conductivity was observed to be very low in silty clay soil. the derived model were to monitor the behaviour of the soil in terms of Ammonia deposition in the study area, such conditions were monitored to have hinder the transport of Ammonia due to low deposition including permeation and void ratio of the soil, these were considered to have generated the accumulation of Ammonia in the study area. The developed model were monitored in industrial area were this substances were observed to predominantly deposited in these locations, such condition were essential to monitor and to predict the concentration rate in silty clay formation, the accumulation of this substance may migrate to porous medium and contaminate the Phreatic bed, more so, the deposited substances are known to be one of the substrate, this implies that it will definitely increase the deposition of any other microbial contaminant in the study area thus generate more contaminant in Phreatic bed. The developed model was simulated to generate theoretical values, these were compared with experimental values and both parameters express best fits validating the developed model for the study.}, year = {2017} }
TY - JOUR T1 - Modelling Accumulation Ammonia Deposition Influenced Low Velocity in Silty Clay Formation, Industrial Layout of Port Harcourt AU - Eluozo S. N. Y1 - 2017/03/29 PY - 2017 N1 - https://doi.org/10.11648/j.ijees.20170202.11 DO - 10.11648/j.ijees.20170202.11 T2 - International Journal of Energy and Environmental Science JF - International Journal of Energy and Environmental Science JO - International Journal of Energy and Environmental Science SP - 27 EP - 35 PB - Science Publishing Group SN - 2578-9546 UR - https://doi.org/10.11648/j.ijees.20170202.11 AB - This paper evaluates the behaviour of Ammonia deposition in silty clay formation. The lithology of the formation through detailed investigation shows that the rate of hydraulic conductivity was observed to be very low in silty clay soil. the derived model were to monitor the behaviour of the soil in terms of Ammonia deposition in the study area, such conditions were monitored to have hinder the transport of Ammonia due to low deposition including permeation and void ratio of the soil, these were considered to have generated the accumulation of Ammonia in the study area. The developed model were monitored in industrial area were this substances were observed to predominantly deposited in these locations, such condition were essential to monitor and to predict the concentration rate in silty clay formation, the accumulation of this substance may migrate to porous medium and contaminate the Phreatic bed, more so, the deposited substances are known to be one of the substrate, this implies that it will definitely increase the deposition of any other microbial contaminant in the study area thus generate more contaminant in Phreatic bed. The developed model was simulated to generate theoretical values, these were compared with experimental values and both parameters express best fits validating the developed model for the study. VL - 2 IS - 2 ER -