Advertisement

Influence of Pore Distribution Characteristics on Relative Hydraulic Conductivity in Soil Covers—A Pore-Scale Numerical Investigation

  • Guangyao LiEmail author
  • Liangtong Zhan
  • Sheng Dai
Conference paper
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Relative hydraulic conductivity is an important input parameter for water balance models, which are commonly used to evaluate the performance of soil covers. In this paper, pore-network modeling was utilized to analyze the influence of pore distribution characteristics on relative hydraulic conductivity at various water saturations in soils. A drainage process of water slowly invaded by air was simulated to assign various saturations in pore networks. The pore networks have 30 × 30 × 30 pores, with log-normally distributed pore diameters in different mean values and standard deviations. Numerical results indicated that the increase in standard deviation and the decrease in the mean value of the pore diameters lead to a decrease in saturated hydraulic conductivity. Larger standard deviation or lower mean value of the pore diameters can result in more evident right-skewed pore diameter distribution. This provides more throats for water to flow at a given saturation, and thus a larger relative hydraulic conductivity in the pore network.

Keywords

Pore network modeling Pore distribution characteristics Drainage simulation Relative hydraulic conductivity 

Notes

Acknowledgements

The authors acknowledge financial support from the National Science Fund for Distinguished Young Scholars (No. 51625805) and program of China Scholarships Council (No. 201706320096).

References

  1. 1.
    Benson C, Abichou T, Albright W, Gee G, Roesler A (2001) Field evaluation of alternative earthen final covers. Int J Phytorem 3(1):105–127CrossRefGoogle Scholar
  2. 2.
    Abichou T, Liu X, Tawfiq K (2006) Design considerations for lysimeters used to evaluate alternative earthen final covers. J Geotech Geoenviron Eng 132(12):1519–1525CrossRefGoogle Scholar
  3. 3.
    Zhan LT, Li GY, Jiao WG, Wu T, Lan JW, Chen YM (2016) Field measurements of water storage capacity in a loess–gravel capillary barrier cover using rainfall simulation tests. Can Geotech J 54(11):1523–1536CrossRefGoogle Scholar
  4. 4.
    Waugh WJ, Benson CH, Albright WH (2009) Sustainable covers for uranium mill tailings, USA: alternative design, performance, and renovation. In: ASME 2009 12th international conference on environmental remediation and radioactive waste management. American Society of Mechanical Engineers, Liverpool, pp 639–648Google Scholar
  5. 5.
    Khire MV, Benson CH, Bosscher PJ (1997) Water balance modeling of earthen final covers. J Geotech Geoenviron Eng 123(8):744–754CrossRefGoogle Scholar
  6. 6.
    Khire MV, Benson CH, Bosscher PJ (2000) Capillary barriers: design variables and water balance. J Geotech Geoenviron Eng 126(8):695–708CrossRefGoogle Scholar
  7. 7.
    Meerdink JS, Benson CH, Khire MV (1996) Unsaturated hydraulic conductivity of two compacted barrier soils. J Geotech Eng 122(7):565–576CrossRefGoogle Scholar
  8. 8.
    Benson C, Gribb M (1997) Measuring unsaturated hydraulic conductivity in the laboratory and the field. Geotechnical Special Publication, Austin, pp 113–168Google Scholar
  9. 9.
    Fatt I (1956) The network model of porous media. Soc Petrol Eng 1956:207Google Scholar
  10. 10.
    Gostick J, Aghighi M, Hinebaugh J, Tranter T, Hoeh MA, Day H, Spellacy B, Sharqawy MH, Bazylak A, Burns A, Lehnert W (2016) OpenPNM: a pore network modeling package. Comput Sci Eng 18(4):60–74CrossRefGoogle Scholar
  11. 11.
    Gostick JT, Ioannidis MA, Fowler MW, Pritzker MD (2007) Pore network modeling of fibrous gas diffusion layers for polymer electrolyte membrane fuel cells. J Power Sources 173(1):277–290CrossRefGoogle Scholar
  12. 12.
    Sutera SP, Skalak R (1993) The history of Poiseuille’s law. Annu Rev Fluid Mech 25(1):1–20MathSciNetCrossRefGoogle Scholar
  13. 13.
    Jang J, Narsilio GA, Santamarina JC (2011) Hydraulic conductivity in spatially varying media—a pore-scale investigation. Geophys J Int 184(3):1167–1179CrossRefGoogle Scholar
  14. 14.
    Adamson AW, Gast AP (1967) Physical chemistry of surfaces, 6th edn. Wiley, HobokenGoogle Scholar
  15. 15.
    Phadnis HS, Santamarina JC (2011) Bacteria in sediments: pore size effects. Geotech Lett 1(4):91–93CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.MOE Key Laboratory of Soft Soils and Environmental EngineeringZhejiang UniversityHangzhouChina
  2. 2.School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaUSA

Personalised recommendations