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Generalization of the Darcy-Buckingham Law: Optimality and Water Flow in Unsaturated Media

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Fluid Flow in the Subsurface

Part of the book series: Theory and Applications of Transport in Porous Media ((TATP,volume 28))

Abstract

The Darcy-Buckingham law extends Darcy’s law from single phase flow in the subsurface to multiphase flow and was discovered by Edgar Buckingham (1867–1940). It is valid under the local-equilibrium condition that, however, does not always hold especially when fingering flow occurs. This chapter is devoted to generalizing the Darcy-Buckingham law by relaxing the local-equilibrium condition. The new development is based on an optimality principle that water flow in unsaturated media self-organizes in such a way that the resistance to water flow is minimized. Unlike the traditional form of the Darcy-Buckingham law, the relative permeability in the generalization is also a function of water flux, which is a direct result of the non-equilibrium flow behavior. The generalized Darcy-Buckingham law has been shown to be consistent with laboratory observations and field data for gravitational fingering flow in unsaturated soils. It is also the theoretical foundation for the active fracture model, the key constitutive relationship for modeling flow and transport in the unsaturated zone of Yucca Mountain, Nevada, that is the national geological disposal site for high-level nuclear waste in USA.

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References

  • Banavar JR, Colaiori F, Flammini A (2001) Scaling, optimality and landscape evolution. J Stat Phys 104(1/2):1–48

    Article  Google Scholar 

  • Bandurraga TM, Bodvarsson GS (1999) Calibrating hydrogeologic parameters for the 3-d site-scale unsaturated zone model of Yucca Mountain, Nevada. J Contam Hydrol 38(1–3):25–46

    Article  Google Scholar 

  • Başağaoğlu H, Succi S, Manepally C et al (2009) Sensitivity of the active fracture model parameter to fracture network orientation and injection scenarios. Hydrogeol J 17(6):1347–1358

    Article  Google Scholar 

  • Bejan A (2000) Shape and structure, from engineering to nature. Cambridge University Press, New York

    Google Scholar 

  • Bejan A, Tondeur D (1998) Equipartition, optimal allocation and the constructal approach to predicting organization in nature. Revue Generale Thermique 37:165–180

    Article  Google Scholar 

  • Bodvarsson GS, Liu HH, Ahlers R et al (2000) Parameterization and upscaling in modeling flow and transport at Yucca Mountain. In: Conceptual models of unsaturated flow in fractured rocks. National Academy Press, Washington DC

    Google Scholar 

  • Brooks RH, Corey AT (1964) Hydraulic properties of porous media. Hydrology Paper No. 3, Colorado State University, Colorado

    Google Scholar 

  • Buckingham E (1907) Studies on the movement of soil moisture. Bulletin 38, USDA Bureau of Soils, Washington DC

    Google Scholar 

  • Buckingham E (1914) On physically similar systems: illustrations of the use of dimensional equations. Phys Rev 4(4):345–376

    Article  Google Scholar 

  • Burdine NT (1952) Relative permeability calculations from pore-size distribution data. Petr Trans Am Inst Mining Metall Eng 198:71–77

    Google Scholar 

  • Doughty C (1999) Investigation of conceptual and numerical approaches for evaluating moisture, gas, chemical, and heat transport in fractured unsaturated rock. J Contam Hydrol 38:69–106

    Article  Google Scholar 

  • Eagleson PS (2002) Ecohydrology: Darwinian expression of vegetation form and function. Cambridge University Press, New York

    Book  Google Scholar 

  • Fabryka-Martin J, Meijer A, Marshall B (2000) Analysis of geochemical data for the unsaturated zone. Rep ANL-NBS-HS-000017, Yucca Mountain Project

    Google Scholar 

  • Feder J (1988) Fractals. Plenum, New York

    Book  Google Scholar 

  • Flint LA, Flint LE, Bodvarsson GS (2001) Evolution of the conceptual model of unsaturated zone hydrology at Yucca Mountain, Nevada. J Hydrol 247:1–30

    Article  Google Scholar 

  • Flint AL, Hevesi JA, Flint EL (1996) Conceptual and numerical model of infiltration for the Yucca Mountain area, Nevada. Water Resources Investigation Report-96, US Geologic Survey, Denver, CO

    Google Scholar 

  • Garrick BJ, Di Bella CAW (2014) Technical advances for geological disposal of high activity waste. The bridge. Nat Acad Eng 44(3):50–57

    Google Scholar 

  • Glass RJ, Steenhuis TS, Parlarge JY (1988) Wetting front instability as a rapid and far-reaching hydrologic process in the vadose zone. J Contam Hydrol 3:207–226

    Article  Google Scholar 

  • Gupta VK, Waymire E (1989) Statistical self-similarity in river networks parameterized by elevation. Water Resour Res. doi:10.1029/WR025i003p00463

    Google Scholar 

  • Heylighen F (2008) Complexity and self-organization. In: Bates MJ, Maack MN (eds) Encyclopedia of library and information sciences. Taylor & Francis, New York

    Google Scholar 

  • Howard AD (1990) Theoretical model of optimal drainage networks. Water Resour Res 26(9):2107–2117

    Article  Google Scholar 

  • Kleidon A (2009) Nonequilibrium thermodynamics and maximum entropy production in the Earth system: application and implications. Naturwissenschaften 96:653–677

    Article  Google Scholar 

  • Leopold LB, Langbein WB (1962) The concept of entropy in landscape evolution. Professional Paper 500-A, US Geological Survey

    Google Scholar 

  • Leopold LB, Maddock T (1953) The hydraulic geometry of stream channels and some physiographic implications. Professional Paper 252, US Geological Survey

    Google Scholar 

  • Liu HH (2004) Conceptual model and numerical approaches for unsaturated zone flow and transport. Report MDL-NBS-HS-000005, Yucca Mountain Project, US Department of Energy

    Google Scholar 

  • Liu HH (2010) Comment on “Sensitivity of the active fracture model parameter to fracture network orientation and injection scenarios”. Hydrogeol J 18(2):535–537

    Article  Google Scholar 

  • Liu HH (2011a) A conductivity relationship for steady-state unsaturated flow processes under optimal flow conditions. Vadose Zone J. doi:10.2136/vzj2010.0118

    Google Scholar 

  • Liu HH (2011b) A note on equations for steady-state optimal landscapes. Geophys Res Lett. doi:10.1029/2011GL047619

    Google Scholar 

  • Liu HH (2011c) Impact of climate change on groundwater recharge in dry area: an ecohydrology approach. J Hydrol 407:175–183

    Article  Google Scholar 

  • Liu HH (2014) A thermodynamic hypothesis regarding optimality principles for flow processes in geosystems. Chin Sci Bull 59(16):1880–1884

    Article  Google Scholar 

  • Liu HH, Ahlers CF (2003) Calibrated properties model. Report MDL-NBS-HS-000003 (Rev. 01), Yucca Mountain Project, US Department of Energy

    Google Scholar 

  • Liu HH, Bodvarsson GS, Pan L (2000) Determination of particle transfer in random walk particle methods for fractured porous media. Water Resour Res 36:707–713

    Article  Google Scholar 

  • Liu HH, Doughty C, Bodvarsson GS (1998) An active fracture model for unsaturated flow and transport in fractured rocks. Water Resour Res 34:2633–2646

    Article  Google Scholar 

  • Liu HH, Haukwa CB, Ahlers CF et al (2003a) Modeling flow and transport in unsaturated fractured rock: an evaluation of the continuum approach. J Contam Hydrol 62–63:173–188

    Article  Google Scholar 

  • Liu HH, Zhang G, Bodvarsson GS (2003b) The active fracture model: its relation to fractal flow behavior and a further evaluation using field observations. Vadose Zone J 2:259–269

    Google Scholar 

  • Liu HH, Zhang RD, Bodvarsson GS (2005) An active region model for capturing fractal flow patterns in unsaturated soils: model development. J Contam Hydrol 80(1–2):18–30

    Article  Google Scholar 

  • Montazer P, Wilson WE (1984) Conceptual hydrologic model of flow in the unsaturated zone, Yucca Mountain, Nevada. Water-Resources Investigations Report 84-4345, US Geological Survey

    Google Scholar 

  • Mualem Y (1976) A new model of predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12:513–522

    Article  Google Scholar 

  • Mualem Y, Dagan G (1978) Hydraulic conductivity of soil: unified approach to the statistical methods. Soil Sci Soc Am J 42(3):392-392

    Article  Google Scholar 

  • Muskat M, Meres MW (1936) The flow of heterogeneous fluids through porous media. Physics 7(9):346–363

    Article  Google Scholar 

  • Nieven RK (2010) Minimization of a free-energy-like potential for non-equilibrium flow systems at steady state. Phil Trans R Soc. doi:10.1098/rstb.2009.0296

    Google Scholar 

  • Nimmo JR, Landa ER (2005) The soil physics contributions of Edgar Buckingham. Soil Sci Am J 69:328–342

    Article  Google Scholar 

  • Pruess K (1991) TOUGH2-A general purpose numerical simulator for multiphase fluid and heat flow. Rep LBNL-29400, Lawrence Berkeley National Laboratory

    Google Scholar 

  • Richards LA (1931) Capillary conduction of liquids through porous mediums. Physics 1(5):318–333

    Article  Google Scholar 

  • Rinaldo A, Banavar JR, Maritan A (2006) Trees, networks and hydrology. Water Resour Res. doi:10.1029/2005WR004108

    Google Scholar 

  • Rinaldo A, Rodriguez-Iturbe I, Rigon A (1992) Minimum energy and fractal structures of drainage networks. Water Resour Res 28:2183–2191

    Article  Google Scholar 

  • Rodriguez-Iturbe I, Rinaldo A, Rigon A (1992) Energy dissipation, runoff production and the three-dimensional structure of river basins. Water Resour Res 28(4):1095–1103

    Article  Google Scholar 

  • Sheng F, Wang K, Zhang RD (2009) Characterizing soil preferential flow using iodine–starch staining experiments and the active region model. J Hydrol 367(1–2):115–124

    Article  Google Scholar 

  • Tondeur D, Kvaalen E (1987) Equipartition of entropy production: an optimality criterion for transfer and separation processes. Ind Eng Chem Res 26:56–65

    Article  Google Scholar 

  • US DOE (2002) Yucca Mountain Science and Engineering Report. Report DOE/RW-0539-1, US Department of Energy

    Google Scholar 

  • van Genuchten MTh (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898

    Article  Google Scholar 

  • Wang JSY, Trautz RC, Cook PJ et al (1999) Field tests and model analyses of seepage into drift. J Contam Hydrol 38:232–347

    Article  Google Scholar 

  • Wang K, Zhang R, Yasuda H (2006) Characterizing heterogeneity of soil water flow by dye infiltration experiments. J Hydrol 328:559–571

    Article  Google Scholar 

  • Wang Z, Feyen J, Elrick DE (1998) Prediction of fingering in porous media. Water Resour Res 34:2183–2190

    Article  Google Scholar 

  • Weinstock R (1974) Calculus of variations with applications to physics and engineering. Dover Publications Inc., New York

    Google Scholar 

  • Wu YS, Ahlers CF, Fraser P (1996) Software qualification of selected TOUGH2 modules. Report LBNL-39490, Lawrence Berkeley National Laboratory

    Google Scholar 

  • Wyckoff RD, Botset HG (1936) The flow of gas-liquid mixtures through unconsolidated sands. Physics 7(9):325–345

    Article  Google Scholar 

  • Yang IC (2002) Percolation flux and transport velocity in the unsaturated zone, Yucca Mountain, Nevada. Appl Geochem 17:807–817

    Article  Google Scholar 

  • Yasuda H, Berndtsson R, Persson H (2001) Characterizing preferential transport during flood irrigation of a heavy clay soil using the dye Vitasyn Blua. Geoderma 100:49–66

    Article  Google Scholar 

Download references

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Correspondence to Hui-Hai Liu .

Appendix: An Alternative Derivation of Eq. 2.48 Without Using the Lagrange Multiplier

Appendix: An Alternative Derivation of Eq. 2.48 Without Using the Lagrange Multiplier

Equation 2.48 was derived in Sect. 2.4 based on the calculus of variations involving a Lagrange multiplier (Eq. 2.46). For the convenience of readers who are not familiar with the mathematical background of the Lagrange multiplier, this appendix provides an alternative derivation of Eq. 2.48 without using the Lagrange multiplier.

From Eq. 2.46, the Lagrangian (without using the Lagrange multiplier) for the given problem is

$$L = - K_{un} S_{*}$$
(2.A1)

where S * is given as:

$$S_{*} \equiv \left( {\frac{\partial E}{\partial x}} \right)^{2} + \left( {\frac{\partial E}{\partial y}} \right)^{2} + \left( {\frac{\partial E}{\partial z}} \right)^{2}$$
(2.44-5)

Equation 2.48 is then derived by solving the following Euler-Lagrangian equation with w = E:

$$\frac{\partial L}{\partial w} - \frac{\partial }{\partial x}\left( {\frac{\partial L}{{\partial w_{x} }}} \right) - \frac{\partial }{\partial y}\left( {\frac{\partial L}{{\partial w_{y} }}} \right) - \frac{\partial }{\partial z}\left( {\frac{\partial L}{{\partial w_{z} }}} \right) = 0$$
(2.39)

Because E = h + z, we have

$$\frac{\partial L}{\partial w} = \frac{\partial L}{\partial E} = \frac{\partial L}{\partial h}\frac{\partial h}{\partial E} = \frac{\partial L}{\partial h} = - \frac{{\partial \left( {K_{un} S{}_{*}} \right)}}{\partial h}$$
(2.A2)

For \(w_{x} = \frac{\partial E}{\partial x}\), we also have

$$\frac{\partial L}{{\partial w_{x} }} = - \frac{{\partial \left( {K_{un} S_{*} } \right)}}{{\partial S_{*} }}\frac{{\partial S{}_{*}}}{{\partial w_{x} }}$$
(2.A3-1)
$$\frac{{\partial \left( {K_{un} S_{*} } \right)}}{{\partial S_{*} }} = K_{un} + \frac{{\partial K_{un} }}{{\partial \left( {\log S_{*} } \right)}}$$
(2.A3-2)
$$\frac{{\partial S_{*} }}{{\partial w_{x} }} = 2\left( {\frac{\partial E}{\partial x}} \right)$$
(2.A3-3)

Combining Eqs. 2.A3-1 to 2A3-3 yields:

$$\frac{\partial L}{{\partial w_{x} }} = - 2K_{un} \frac{\partial E}{\partial x} - 2\frac{{\partial K_{un} }}{{\partial \left( {\log S_{*} } \right)}}\frac{\partial E}{\partial x}$$
(2.A4)

In a similar procedure, we obtain

$$\frac{\partial L}{{\partial w_{y} }} = - 2K_{un} \frac{\partial E}{\partial y} - 2\frac{{\partial K_{un} }}{{\partial \left( {\log S_{*} } \right)}}\frac{\partial E}{\partial y}$$
(2.A5)
$$\frac{\partial L}{{\partial w_{z} }} = - 2K_{un} \frac{\partial E}{\partial z} - 2\frac{{\partial K_{un} }}{{\partial \left( {\log S_{*} } \right)}}\frac{\partial E}{\partial z}$$
(2.A6)

Inserting Eqs. 2.A2 and 2.A42.A6 into Eq. 2.39 and using the following form of water mass balance equation;

$$\frac{{\partial \left( {K_{un} \frac{\partial E}{\partial x}} \right)}}{\partial x} + \frac{{\partial \left( {K_{un} \frac{\partial E}{\partial y}} \right)}}{\partial y} + \frac{{\partial \left( {K_{un} \frac{\partial E}{\partial z}} \right)}}{\partial z} = 0$$
(2.A7)

we finally obtain

$$\frac{{\partial \left( {\frac{{\partial K_{un} }}{{\partial (\log S_{*} )}}\frac{\partial E}{\partial x}} \right)}}{\partial x} + \frac{{\partial \left( {\frac{{\partial K_{un} }}{{\partial (\log S_{*} )}}\frac{\partial E}{\partial y}} \right)}}{\partial y} + \frac{{\partial \left( {\frac{{\partial K_{un} }}{{\partial (\log S_{*} )}}\frac{\partial E}{\partial z}} \right)}}{\partial z} = \frac{{S_{*} }}{2}\frac{{\partial K_{un} }}{\partial h}$$
(2.48)

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Liu, HH. (2017). Generalization of the Darcy-Buckingham Law: Optimality and Water Flow in Unsaturated Media. In: Fluid Flow in the Subsurface. Theory and Applications of Transport in Porous Media, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-43449-0_2

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