h-index: 7     i10-index: 5

Document Type : Original Research Article

Author

Department of Environmental Civil Engineering-Water and Wastewater Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

Abstract

Network methods are one of the most widely used groundwater modeling tools that have become widespread and popular in the last two decades. On the other hand, advances in the computing power of computers and their ease of access have led to the rapid development of numerical methods for solving groundwater problems. In this study, with a new approach to network methods, these methods are introduced as a numerical model to simulate the movement of groundwater. The first step in estimating groundwater behavior is to obtain a mathematical model. According to Darcy's law and the establishment of mass conservation, it can be shown that the equation governing groundwater in stable conditions is the Laplace equation. Therefore, by obtaining the physical properties of the desired aquifer using the experiment and understanding the boundary conditions governing that aquifer, a complete mathematical model governing the desired problem can be obtained. Unfortunately, since the physical properties of the problems in nature are not homogeneous and the boundaries of the problems under study are geometrically irregular, it is impossible to solve these problems analytically. To do so, researchers have been using numerical and laboratory methods for years. All numerical methods for solving the Laplace equation first decompose the scope of the problem in the sense that they either divide it into multiple nodes or into multiple elements and then use mathematical methods. In this article, a new approach is to find algebraic relations between those different nodes or elements. In other words, after parsing the scope of the problem, they turn the Laplace equation into a system of linear equations.

Keywords

Main Subjects

  1. Baalousha H., Fundamentals of groundwater modelling. Groundwater: Modelling, Management and Contamination; Konig, LF, Weiss, JL, Eds, 2009, 149 [Google Scholar], [PDF]
  2. Bear J., Cheng A.H.D., Modeling groundwater flow and contaminant transport. Dordrecht: Springer.2010, 23:89 [Google Scholar], [Publisher]
  3. Berg S.J., Illman W.A., Improved predictions of saturated and unsaturated zone drawdowns in a heterogeneous unconfined aquifer via transient hydraulic tomography: Laboratory sandbox experiments. Journal of Hydrology, 2012, 470:172 [Crossref], [Google Scholar], [Publisher]
  4. Blunt M.J., Jackson M.D., Piri M., Valvatne P.H., Detailed physics, predictive capabilities and macroscopic consequences for pore-network models of multiphase flow. Advances in Water Resources, 2002, 25(8-12):106 [Crossref], [Google Scholar], [Publisher]
  5. Chareyre B., Cortis A., Catalano E., Barthélemy E., Pore-scale modeling of viscous flow and induced forces in dense sphere packings. Transport in Porous Media, 2012, 94:595 [Crossref], [Google Scholar], [Publisher]
  6. Cheng A.D., Heterogeneities in flows through porous media by the boundary element method. In Applications in Geomechanics (pp. 129-144). Berlin, Heidelberg: Springer Berlin Heidelberg. 1987 [Crossref], [Google Scholar], [Publisher]
  7. Daripa P., Hwang H.J., Nonlinear instability of Hele-Shaw flows with smooth viscous profiles. Journal of Differential Equations, 2008, 245:1819 [Crossref], [Google Scholar], [Publisher]
  8. Hilfer R., Review on scale dependent characterization of the microstructure of porous media. Transport in Porous Media, 2002, 46:373 [Crossref], [Google Scholar], [Publisher]
  9. Illman W.A., Zhu J., Craig A., Yin D., December. Can a Groundwater Flow Model BE Validated? Encouraging, Positive Evidence from Laboratory Hydraulic Tomography Experiments. In AGU Fall Meeting Abstracts 2008, 2008:H33H-04 [Google Scholar], [Publisher]
  10. Illman W.A., Zhu J., Craig A.J., Yin D., Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study. Water Resources Research, 2010, 46 [Crossref], [Google Scholar], [Publisher]
  11. Iserles A., A first course in the numerical analysis of differential equations (No. 44). Cambridge university press. 2009 [Google Scholar], [Publisher]
  12. Jiang Z., Van Dijke M.I.J., Wu K., Couples G.D., Sorbie K.S., Ma, J., Stochastic pore network generation from 3D rock images. Transport in Porous Media, 2012, 94:571 [Crossref], [Google Scholar], [Publisher]
  13. Joekar-Niasar V., Hassanizadeh S.M., Leijnse A., Insights into the relationships among capillary pressure, saturation, interfacial area and relative permeability using pore-network modeling. Transport in Porous Media, 2008, 74:201 [Crossref], [Google Scholar], [Publisher]
  14. Joekar‐Niasar V., Prodanović M., Wildenschild D., Hassanizadeh S.M., Network model investigation of interfacial area, capillary pressure and saturation relationships in granular porous media. Water Resources Research, 2010, 46 [Crossref], [Google Scholar], [Publisher]
  15. Jung Y., Coulibaly K.M., Borden R.C., Transport of edible oil emulsions in clayey sands: 3D sandbox results and model validation. Journal of Hydrologic Engineering, 2006, 11:238 [Crossref], [Google Scholar], [Publisher]
  16. Kim D., Lindquist W.B., Dependence of pore-to-core up-scaled reaction rate on flow rate in porous media. Transport in Porous Media, 2011, 89:459 [Crossref], [Google Scholar], [Publisher]
  17. Loudyi D., Falconer R.A., Lin B., Mathematical development and verification of a non-orthogonal finite volume model for groundwater flow applications. Advances in Water Resources, 2007, 30:29 [Crossref], [Google Scholar], [Publisher]
  18. Mazaheri A.R., Zerai B., Ahmadi G., Kadambi J.R., Saylor B.Z., Oliver M., Bromhal G.S., Smith D.H., Computer simulation of flow through a lattice flow-cell model. Advances in Water Resources, 2005, 28:1267 [Crossref], [Google Scholar], [Publisher]
  19. Mizumura K., Kaneda T., Boundary condition of groundwater flow through sloping seepage face. Journal of Hydrologic Engineering, 2010, 15:718 [Crossref], [Google Scholar], [Publisher]
  20. Mousavi M.A., Bryant S.L., Connectivity of pore space as a control on two-phase flow properties of tight-gas sandstones. Transport in Porous Media, 2012, 94:537 [Crossref], [Google Scholar], [Publisher]
  21. Rahimiyan R., Treatment of Industrial Wastewater by DAF Method, Journal of Engineering in Industrial Research, 2021, 2:95 [Crossref], [Publisher]
  22. Raoof A., Hassanizadeh S.M., A new method for generating pore-network models of porous media. Transport in Porous Media, 2010, 81:391 [Crossref], [Google Scholar], [Publisher]
  23. Steele D.D., Nieber J.L., Network modeling of diffusion coefficients for porous media: II. Simulations. Soil Science Society of America Journal, 1994, 58:1346 [Crossref], [Google Scholar], [Publisher]
  24. Taigbenu A.E., Liggett J.A., Cheng A.H.D., Boundary integral solution to seawater intrusion into coastal aquifers. Water Resources Research, 1984, 20:1150 [Crossref], [Google Scholar], [Publisher]
  25. Vafai K. ed., Handbook of porous media. Crc Press. 2015  [Google Scholar]
  26. Rahimiyan R., Risk Management with Maintenance and Repair Strategy in Industries', Advanced Journal of Chemistry-Section B: Natural Products and Medical Chemistry, 2020, 2:239 [Crossref], Publisher]
  27. Zienkiewicz O.C., Taylor R.L., Zhu J.Z., The finite element method: its basis and fundamentals. Elsevier. 2005 [Google Scholar], [Publisher]
  28. Nozariamini S., Rahimiyan R., Miryousefi ata S., Investigation of Metal Toxins in Industrial Wastewater, Progress in Chemical and Biochemical Research, 2020, 3:377 [Crossref], [Publisher]
  29.