POLLUTEv10 Example 12: Fractured Media Transport vs Analytical Solution (Tang et al., 1981)

POLLUTEv10 simulation of contaminant transport in fractured rock compared to analytical solution
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Validating Fracture Transport Modeling with Analytical Benchmarks

POLLUTEv10 Example 12 is a benchmark validation case that compares numerical results from POLLUTEv10 with an analytical solution developed by Tang et al..

This example focuses on transport in fractured porous media, where contaminant migration occurs rapidly along fractures and slowly into the surrounding rock matrix.


Problem Overview

The model simulates:

  • A single fracture system
  • A conservative contaminant (no sorption in fracture)
  • Advection and diffusion along fractures
  • Diffusion into the surrounding matrix
  • A constant source concentration

Key Conditions

  • Source concentration (co) = 1.0 mg/L
  • Fracture spacing = 1 m
  • Fracture aperture = 10 μm
  • High groundwater velocity along fractures

Conceptual Model

The system consists of:

  • Discrete fractures acting as fast-flow pathways
  • A low-permeability rock matrix surrounding fractures
  • Diffusion from fracture → matrix

Key Insight

Because matrix diffusion is extremely small:

There is effectively no interaction between adjacent fractures

Thus:

  • Results are independent of fracture spacing over the time scale considered

Key Calculations

Darcy Velocity in Fractures

va=(fractures per m)×(fracture width)×(seepage velocity)v_a = (\text{fractures per m}) \times (\text{fracture width}) \times (\text{seepage velocity})va=10×106×1×730=0.73×102m/av_a = 10 \times 10^{-6} \times 1 \times 730 = 0.73 \times 10^{-2} \, \text{m/a}

Mix Diffusion Coefficient

Dm=Df×tortuosityD_m = D_f \times \text{tortuosity}Dm=0.077×0.0000983=7.57×106m2/aD_m = 0.077 \times 0.0000983 = 7.57 \times 10^{-6} \, \text{m}^2/\text{a}


Input Parameters

PropertyValueUnits
Darcy Velocity (va)0.73E-2m/a
Soil Thickness (H)400.0m
Sub-layers4
Fracture Spacing1.0m
Fracture Opening10E-6m
Fracture Diffusion Coefficient0.077m²/a
Fracture Distribution Coef.0.0cm³/g
Matrix Diffusion Coefficient7.57E-6m²/a
Matrix Distribution Coef.1.0cm³/g
Matrix Porosity (nm)0.05
Dry Density (Matrix)0.0g/cm³
Source Concentration1.0mg/L

Transport Mechanisms

1. Advection in Fractures

  • Rapid contaminant movement
  • Dominant transport pathway

2. Diffusion Along Fractures

  • Spreads contaminant longitudinally
  • Controlled by Df = 0.077 m²/a

3. Matrix Diffusion

  • Very slow transfer into surrounding rock
  • Controlled by low tortuosity

4. No Dispersion

  • Dispersivity = 0
  • Simplifies comparison with analytical solution

Graphical Output: Depth vs Concentration


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Key Insights

  • Fractures dominate contaminant transport in rock
  • Matrix diffusion can be negligible depending on tortuosity
  • Analytical solutions are valuable for model validation
  • POLLUTEv10 accurately simulates dual-porosity systems

Importance of Model Setup

Even though only 4 sub-layers are used:

  • Large domain (400 m) simplifies gradients
  • Low matrix interaction reduces complexity

However:

More layers may be required for higher precision or stronger matrix interaction


Practical Applications

This example is critical for:

  • Fractured rock aquifer analysis
  • Nuclear waste repository studies
  • Contaminant transport in bedrock
  • Model verification and calibration

Conclusion

POLLUTEv10 Example 12 demonstrates the model’s ability to accurately simulate fracture–matrix transport systems and match established analytical solutions.

Key takeaways:

  • Fracture flow controls transport speed
  • Matrix diffusion may be minimal in some systems
  • Analytical comparisons are essential for validation

This example builds confidence in using POLLUTEv10 for complex fractured media problems.


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