6th International Young Scientist Congress (IYSC-2020) will be Postponed to 8th and 9th May 2021 Due to COVID-19. 10th International Science Congress (ISC-2020).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Numerical simulation of oil hydrocarbons and heavy metals transport in soil

Author Affiliations

  • 1Department of Engineering, Ibn-e-Sina University, Kabul, Afghanistan

Int. Res. J. Environment Sci., Volume 9, Issue (1), Pages 48-60, January,22 (2020)

Abstract

Extensive entrance of oil hydrocarbons and heavy metals into subsurface soil and groundwater resources and characteristics of their propagation has become an important matter. The aim of this study is investigating the factors affecting the propagation of the contaminants in the soil using a numerical model called CTRAN/W. Hence a soil environment with 20 meters depth and 45 meters length analyzed. Boundary condition, initial condition and material properties in these simulations varied in every section. According to analyses, in coarse soils, the emission pattern is vertical and downward; however in fine soils horizontal distribution pattern is dominant. In other words generally in coarse soil the emission depth of soil pollution is more than emission length and in fine-grained the length of pollution is greater. With an increase in the density of contaminants, it has penetrated further into the aquifer and this makes it less spread on the surface of the aquifer. In both fine and coarse, the mainstream emission is vertical with an increase in transverse dispersion coefficient, the extent of pollution in the horizon increases. With an increase in longitudinal dispersion coefficient in both fine and coarse soil environment, a broader pattern of propagation is reached and other words in both horizontally and vertically, the emissions will increase. It was also observed that by increasing the ion exchange capacity, the arrival time of pollutants in the soil column increases and steep rise in emissions to reach its maximum is reduced. By increasing alkalinity, ion exchange capacity increases and therefore much more polluting soil adsorbs.

References

  1. Ovaysi S. and Piri M. (2011)., Pore-scale modeling of dispersion in disordered porous media., Journal of Contaminant Hydrology, 124(4), 68-81.
  2. Jacques D., Simunek J., Mallants D. and Van Genuchten M. (2008)., Modelling coupled water flow, solute transport and geochemical reactions affecting heavy metal migration in a podzol soil., Geoderma, 145(4), 449-461.
  3. Javadi A.A. and Al-najjar M.M. (2007)., Finite element modeling of contaminant transport in soils including the effect of chemical reactions., Journal of Hazardous Materials, 143(3), 690-701.
  4. Kartha S.A. and Srivastava R. (2008)., Effect of immobile water content on contaminant transport in unsaturated zone., Journal of Hydro-environment Research, 1(3-4), 206-215.
  5. Bandilla K.W., Rabideau A.J. and Jankovic I. (2009)., A parallel mesh-free contaminant transport model based on the Analytic Element and Streamline Methods., Journal of Advances in Water Resources, 32, 1143-1153.
  6. Mousavi Nezhad M., Javadi A.A. and Rezania M. (2011)., Modeling of contaminant transport in soils considering the effects of micro- and macro-heterogeneity., Journal of Hydrology, 404, 332-338.
  7. Pan F., Zhu J., Ye M., Pachepsky Y.A. and Wu Y.Sh. (2011)., Sensitivity analysis of unsaturated flow and contaminant transport with correlated parameters., Journal of Hydrology, 397(4), 2380-249.
  8. Chotpantarat S., Ong S.K., Sutthirat C. and Osathaphan K. (2012)., Competitive modeling of sorption and transport of Pb2+, Ni2+, Mn2+ and Zn2+ under binary and multi-metal systems in lateritic soil columns., Geoderma Journal, 189, 278-287.
  9. Elbana T.A. (2013)., Heavy metals accumulation and spatial distribution in long term wastewater irrigated soils., Journal of Environmental Chemical Engineering, 1(4), 925-933.
  10. Bai B., Li H., Xu T. and Chen X. (2015)., Analytical solutions for contaminant transport in a semi-infinite porous medium using the source function method., Computers and Geotechnics, 69, 114-123.
  11. Gharamti M.E., Ait-El-Fquih B. and Hoteit I. (2015)., An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models., Journal of Hydrology, 527, 442-457.
  12. Ngo-Cong D., Mohammed F.J., Strunin D.V., Skvortsov A.T., Mai-Duy N. and Tran-CongT. (2015)., Higher-order approximation of contaminant transport equation for turbulent channel flows based on centre manifolds and its numerical solution., Journal of Hydrology, 525, 87-101.
  13. Mustafa Sh., Bahara A., Abdul Aziza Z. and Suratman S. (2016)., Modelling contaminant transport for pumping wells in riverbank filtration systems., Journal of Environmental Management, 165, 159-166.
  14. Yin Y., Sykes J.F. and Norman S.D. (2015)., Impacts of spatial and temporal recharge on field-scale contaminant transport model calibration., Journal of Hydrology, 527, 77-87.
  15. Wu Z., Fu X. and Wang G. (2015)., Concentration distribution of contaminant transport in wetland flows., Journal of Hydrology, 525, 335-344.
  16. Rachwal M., Magiera T. and Wawer M. (2015)., Coke industry and steel metallurgy as the source of soil contamination by technogenic magnetic particles, heavy metals and polycyclic aromatic hydrocarbons., Chemosphere, 138, 863-873.
  17. Krahn J. (2007)., C-Tran Engineering Book., manual of Geo Studio software.
  18. Frind E.O. (1988)., Solution of the Advection-Dispersion Equation with Free Exit Boundary., Numerical Methods for Partial Differential Equations, 4(4), 301-313.
  19. Bond W.J. and Wierenga P.J. (1990)., Immobile water during solute transport in unsaturated sand columns., Water Resources Research, 26(10), 2475-2481.
  20. Kamon M.K., Junichi Inui T. and Katsumi T. (2004)., Two-dimensional DNAPL migration affected by groundwater flow in unconfined aquifer., Journal of Hazardous Materials, 110, 1-12.