A modified Lagrangian-volumes method to simulate nonlinearly and kinetically sorbing solute transport in heterogeneous porous media.

Transport in subsurface environments is conditioned by physical and chemical processes in interaction, with advection and dispersion being the most common physical processes and sorption the most common chemical reaction. Existing numerical approaches become time-consuming in highly-heterogeneous porous media. In this paper, we discuss a new efficient Lagrangian method for advection-dominated transport conditions. Modified from the active-walker approach, this method comprises dividing the aqueous phase into elementary volumes moving with the flow and interacting with the solid phase. Avoiding numerical diffusion, the method remains efficient whatever the velocity field by adapting the elementary volume transit times to the local velocity so that mesh cells are crossed in a single numerical time step. The method is flexible since a decoupling of the physical and chemical processes at the elementary volume scale, i.e. at the lowest scale considered, is achieved. We implement and validate the approach to the specific case of the nonlinear Freundlich kinetic sorption. The method is relevant as long as the kinetic sorption-induced spreading remains much larger than the dispersion-induced spreading. The variability of the surface-to-volume ratio, a key parameter in sorption reactions, is explicitly accounted for by deforming the shape of the elementary volumes.

[1]  R. Gillham,et al.  Pore Scale Variation in Retardation Factor as a Cause of Nonideal Reactive Breakthrough Curves: 1. Conceptual Model and its Evaluation , 1995 .

[2]  Marco Massabò,et al.  A meshless method to simulate solute transport in heterogeneous porous media , 2009 .

[3]  H. Vereecken,et al.  Analysis of the long-term behavior of solute transport with nonlinear equilibrium sorption using breakthrough curves and temporal moments. , 2002, Journal of contaminant hydrology.

[4]  Allan L. Gutjahr,et al.  Stochastic analysis of spatial variability in subsurface flows: 1. Comparison of one‐ and three‐dimensional flows , 1978 .

[5]  Timothy D. Scheibe,et al.  A smoothed particle hydrodynamics model for reactive transport and mineral precipitation in porous and fractured porous media , 2007 .

[6]  Lui Lam,et al.  Modeling Complex Phenomena , 1992 .

[7]  L. Gelhar Stochastic Subsurface Hydrology , 1992 .

[8]  L. Katz,et al.  Sorption phenomena in subsurface systems: Concepts, models and effects on contaminant fate and transport , 1991 .

[9]  William P. Ball,et al.  Long-term sorption of halogenated organic chemicals by aquifer material. 1. Equilibrium , 1991 .

[10]  A. Beaudoin,et al.  A comparison between a direct and a multigrid sparse linear solvers for highly heterogeneous flux computations , 2006 .

[11]  W. Kinzelbach,et al.  Effective parameters in heterogeneous and homogeneous transport models with kinetic sorption , 1998 .

[12]  Jean-Raynald de Dreuzy,et al.  Asymptotic dispersion in 2D heterogeneous porous media determined by parallel numerical simulations , 2007 .

[13]  J. Nieber,et al.  Modeling the effects of nonlinear equilibrium sorption on the transport of solute plumes in saturated heterogeneous porous media , 2000 .

[14]  N. Sun Mathematical Modeling of Groundwater Pollution , 1995 .

[15]  Lawrence F. Shampine,et al.  The Art of Writing a Runge-Kutta Code, Part I , 1977 .

[16]  G. Marsily Quantitative Hydrogeology: Groundwater Hydrology for Engineers , 1986 .

[17]  David A. Benson,et al.  Simulation of chemical reaction via particle tracking: Diffusion‐limited versus thermodynamic rate‐limited regimes , 2008 .

[18]  Jocelyne Erhel,et al.  Efficient algorithms for the determination of the connected fracture network and the solution to the steady-state flow equation in fracture networks , 2003 .

[19]  G. Dagan Flow and transport in porous formations , 1989 .

[20]  P. Bedient,et al.  Ground Water Contamination: Transport and Remediation , 1994 .

[21]  D. A. Barry,et al.  Note on common mixing cell models , 1994 .

[22]  P. Davy,et al.  A stochastic precipiton model for simulating erosion/sedimentation dynamics , 2001 .

[23]  R. D. Pochy,et al.  Active walker models: tracks and landscapes , 1992 .

[24]  Peter Salamon,et al.  A review and numerical assessment of the random walk particle tracking method. , 2006, Journal of contaminant hydrology.

[25]  Andrew F. B. Tompson,et al.  Numerical simulation of solute transport in three-dimensional, randomly heterogeneous porous media , 1990 .

[26]  Ne-Zheng Sun,et al.  A finite cell method for simulating the mass transport process in porous media , 1999 .

[27]  M. Celia,et al.  Large-scale natural gradient tracer test in sand and gravel, Cape Cod, Massachusetts, 2, Analysis of spatial moments for a nonreactive tracer , 1991 .

[28]  Peter K. Kitanidis,et al.  Macroscopic behavior and random‐walk particle tracking of kinetically sorbing solutes , 2000 .

[29]  J. V. Kooten A method to solve the advection-dispersion equation with a kinetic adsorption isotherm , 1996 .

[30]  Mark N. Goltz,et al.  Interpreting organic solute transport data from a field experiment using physical nonequilibrium models , 1986 .

[31]  Frederick Delay,et al.  Simulating Solute Transport in Porous or Fractured Formations Using Random Walk Particle Tracking: A Review , 2005 .

[32]  Mark N. Goltz,et al.  A natural gradient experiment on solute transport in a sand aquifer: 3. Retardation estimates and mass balances for organic solutes , 1986 .

[33]  G. Pinder,et al.  Computational Methods in Subsurface Flow , 1983 .

[34]  Frederick Delay,et al.  Time domain random walk method to simulate transport by advection‐dispersion and matrix diffusion in fracture networks , 2001 .

[35]  Uwe Jaekel,et al.  Asymptotic analysis of nonlinear equilibrium solute transport in porous media , 1996 .

[36]  A. Valocchi,et al.  Stochastic analysis of the transport of kinetically sorbing solutes in aquifers with randomly heterogeneous hydraulic conductivity , 1993 .

[37]  Yousef Saad,et al.  Iterative methods for sparse linear systems , 2003 .

[38]  S. P. Neuman,et al.  Stochastic theory of field‐scale fickian dispersion in anisotropic porous media , 1987 .