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Modelling and Simulation to Monitor Heterogeneity Deposition of Permeability Influenced by Porosity in Fine Sand Formation, Yenagoa Coastal Location

Received: 30 September 2016    Accepted: 3 March 2017    Published: 28 March 2017
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Abstract

This paper expresses the rate of permeability flow monitored at various locations in deltaic environment of Yenagoa. The depositions of permeability were to determine the rate of Phreatic deposition including yield rate in the study location. Monitoring permeability in heterogeneous fine sand formation in Phreatic bed has not been thorough carried out in deltaic formations, the negligence of yield rate prediction has been generating design failure in ground water and well design, monitoring and evaluation of ground water flow system has not been thorough determined, these has developed lots of abortive wells due to negligence in water well construction, base on these conditions, modeling approach to predict the variation depositions of permeability were found imperative, the derived model generated predictive values, these were simulated to produce theoretical values validated with experimental data, both parameters developed faviourably fits, experts in ground water engineering will found the model useful in their design and construction of water wells.

Published in American Journal of Environmental Science and Engineering (Volume 1, Issue 1)
DOI 10.11648/j.ajese.20170101.12
Page(s) 7-13
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), 2024. Published by Science Publishing Group

Keywords

Modeling and Simulation, Heterogeneity Permeability, Porosity, Fine Sand Formation

References
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[2] Arnold, J. G., Williams, J. R., Nicks, A. D., and Sammons, N. B., 1989. SWRRB—a watershed scale model for soil and water resources management. In: V. P. Singh (Editor), Computer Models of Watershed Hydrology. Water Resources Publications, Highlands Ranch, Colorado, p. 847-908.
[3] Constantz, J., Thomas, C. L., and Zellweger, G., 1994. Influence of diurnal variations in stream temperature on stream flow loss and groundwater recharge. Water Resour. Res., 30: 3253-3264.
[4] Halford, K. J., and Mayer, G. C., 2000. Problems associated with estimating ground water discharge and recharge from stream-discharge records. Ground Water, 38: 331-342.
[5] Hooper, R. P., Christophersen, N., and Peters, N. E., 1990. Modeling of streamwater chemistry as a mixture of soil water end members--An application to the Panola Mountain catchment, Georgia, USA. J. Hydrol., 116: 321-343.
[6] Hatton, T., 1998. Catchment scales recharge modelling. Part 4 of the Basics of Recharge and Discharge, CSIRO, Collingwood, Victoria., 19 pp.
[7] Hillel, D., 1980. Fundamentals of soil physics. Academic Press, London, 413 p.
[8] Hendrickx, J., and Walker, G., 1997. Recharge from precipitation. In: I. Simmers (Editor), Recharge of phreatic aquifers in (Semi-) Arid Areas. A. A. Balkema, p. 19- 98
[9] Meyboom, P., 1961. Estimating groundwater recharge from stream hydrographs. J. Geophysics. Res., 66: 1203-1214.
[10] Mau, D. P., and Winter, T. C., 1997. Estimating ground-water recharge from stream flow hydrographs for a small mountain watershed in a temperate humid climate, New Hampshire, USA. Ground Water, 35: 291-304.
[11] Nathan, R. J., and McMahon, T. A., 1990. Evaluation of automated techniques for base flow and recession analyses. Water Resour. Res., 26: 1465-1473.
[12] Ronan, A. D., Prudic, D. E., Thodal, C. E., and Constantz, J., 1998. Field study and simulation of diurnal temperature effects on infiltration and variably saturated flow beneath an ephemeral stream. Water Resour. Res., 34: 2137-2153.
[13] Scanlon, B. R., and Goldsmith, R. S., 1997. Field study of spatial variability in unsaturated flow beneath and adjacent to playas. Water Resour. Res., 33: 2239- 2252.
[14] Stallman, R. W., 1964. Multiphase fluid flow - a review of theories pertinent to hydrology studies. U. S. Geol. Surv., Prof. Papers No. 411-E, 51 p.
[15] Singh, V. P., 1995. Computer models of watershed hydrology. Water Resources ublications’, Highlands Ranch, Colorado, 1130 p.
[16] Zhang, L. (Editor), 1998. The Basics of Recharge and Discharge. CSIRO Publishing, Collingwood, Australia. CSIRO, Collingwood, Australia.
[17] Eluozo, S. N. 2013; fluid pressure model to predict the influence of void ratio and permeability in alluvium predominant deposition in rivers state, Nigeria International Journal of Applied Chemical Sciences Research Vol. 1, No. 8, September, PP: 121–130.
[18] Bridget R. S, Alan D 1999; Groundwater Recharge in Texas Bureau of Economic Geology, The University of Texas at Austin, and MariosSophocleous, Kansas Geological Survey, Lawrence, KS.
[19] Eluozo. S. N and Afiibor, B. B 2014 yield rates model on alluvia depositions influenced by hydraulic conductivity in phreatic beds of port Harcourt metropolis, Niger delta of Nigeria World Journal of Basic and Advanced Sciences Research Vol. 1, No. 1, pp. 1-7.
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  • APA Style

    Eluozo S. N. (2017). Modelling and Simulation to Monitor Heterogeneity Deposition of Permeability Influenced by Porosity in Fine Sand Formation, Yenagoa Coastal Location. American Journal of Environmental Science and Engineering, 1(1), 7-13. https://doi.org/10.11648/j.ajese.20170101.12

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    ACS Style

    Eluozo S. N. Modelling and Simulation to Monitor Heterogeneity Deposition of Permeability Influenced by Porosity in Fine Sand Formation, Yenagoa Coastal Location. Am. J. Environ. Sci. Eng. 2017, 1(1), 7-13. doi: 10.11648/j.ajese.20170101.12

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    AMA Style

    Eluozo S. N. Modelling and Simulation to Monitor Heterogeneity Deposition of Permeability Influenced by Porosity in Fine Sand Formation, Yenagoa Coastal Location. Am J Environ Sci Eng. 2017;1(1):7-13. doi: 10.11648/j.ajese.20170101.12

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  • @article{10.11648/j.ajese.20170101.12,
      author = {Eluozo S. N.},
      title = {Modelling and Simulation to Monitor Heterogeneity Deposition of Permeability Influenced by Porosity in Fine Sand Formation, Yenagoa Coastal Location},
      journal = {American Journal of Environmental Science and Engineering},
      volume = {1},
      number = {1},
      pages = {7-13},
      doi = {10.11648/j.ajese.20170101.12},
      url = {https://doi.org/10.11648/j.ajese.20170101.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajese.20170101.12},
      abstract = {This paper expresses the rate of permeability flow monitored at various locations in deltaic environment of Yenagoa. The depositions of permeability were to determine the rate of Phreatic deposition including yield rate in the study location. Monitoring permeability in heterogeneous fine sand formation in Phreatic bed has not been thorough carried out in deltaic formations, the negligence of yield rate prediction has been generating design failure in ground water and well design, monitoring and evaluation of ground water flow system has not been thorough determined, these has developed lots of abortive wells due to negligence in water well construction, base on these conditions, modeling approach to predict the variation depositions of permeability were found imperative, the derived model generated predictive values, these were simulated to produce theoretical values validated with experimental data, both parameters developed faviourably fits, experts in ground water engineering will found the model useful in their design and construction of water wells.},
     year = {2017}
    }
    

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    AB  - This paper expresses the rate of permeability flow monitored at various locations in deltaic environment of Yenagoa. The depositions of permeability were to determine the rate of Phreatic deposition including yield rate in the study location. Monitoring permeability in heterogeneous fine sand formation in Phreatic bed has not been thorough carried out in deltaic formations, the negligence of yield rate prediction has been generating design failure in ground water and well design, monitoring and evaluation of ground water flow system has not been thorough determined, these has developed lots of abortive wells due to negligence in water well construction, base on these conditions, modeling approach to predict the variation depositions of permeability were found imperative, the derived model generated predictive values, these were simulated to produce theoretical values validated with experimental data, both parameters developed faviourably fits, experts in ground water engineering will found the model useful in their design and construction of water wells.
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Author Information
  • Department of Civil and Environmental Engineering, Subaka Nigeria Limited Port Harcourt, Port Harcourt, Nigeria

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