POLLUTEv10 Example 3: Advection + Diffusion with Aquifer Mixing

POLLUTEv10 Example 3 advection diffusion modeling showing contaminant transport from landfill through aquitard into aquifer with mixing
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This example builds directly on Example 2 by introducing advective transport and a permeable aquifer boundary. This scenario is much closer to real-world landfill hydrogeology, where both diffusion and groundwater flow control contaminant migration.


Overview of the Scenario

In this example, the system consists of:

  • A 4 m thick aquitard (low permeability layer)
  • A constant contaminant source at the top (landfill)
  • A 3 m thick active aquifer zone (upper portion of a 20 m aquifer)
  • Downward flow (advection) through the aquitard
  • Mixing in the aquifer controlled by flow continuity

Key Enhancements from Example 2:

  • ✅ Advection included (va ≠ 0)
  • ✅ Aquifer explicitly represented as a boundary
  • ✅ Flow continuity used to calculate dilution
  • ❌ Still no sorption (Kd = 0)

Conceptual Model

The transport system includes:

  1. Downward advection + diffusion through aquitard
  2. Mass transfer into aquifer at 4 m depth
  3. Dilution in flowing groundwater system

The aquifer is treated as a well-mixed receptor zone, not a full 3D domain.


Input Parameters

PropertySymbolValueUnits
Darcy Velocityva0.1m/a
Diffusion CoefficientD0.01m²/a
Distribution CoefficientKd0cm³/g
Soil Porosityn0.4
Dry Densityρd1.5g/cm³
Aquitard ThicknessH4m
Sub-layers4
Source Concentrationc₀1g/L
Landfill LengthL200m
Landfill WidthW300m
Aquifer Thicknessh3m
Aquifer Porositynb0.3
Base Outflow Velocityvb26.67m/a

Governing Transport Equation

With both advection and diffusion:

Ct+vaCx=D2Cx2\frac{\partial C}{\partial t} + v_a \frac{\partial C}{\partial x} = D \frac{\partial^2 C}{\partial x^2}∂t∂C​+va​∂x∂C​=D∂x2∂2C​

This equation shows:

  • Advection term (va ∂C/∂x) → dominates transport
  • Diffusion term (D ∂²C/∂x²) → smooths gradients

Flow Continuity Calculations

A key part of this example is determining the aquifer dilution using flow balance.

1. Inflow to Aquifer (Upgradient)

qin=vinhW=203300=18000m3/aq_{in} = v_{in} \cdot h \cdot W = 20 \cdot 3 \cdot 300 = 18000 \, m^3/a

2. Flow from Landfill (Recharge)

qa=vaLW=0.1200300=6000m3/aq_a = v_a \cdot L \cdot W = 0.1 \cdot 200 \cdot 300 = 6000 \, m^3/a

3. Total Outflow

qout=qin+qa=18000+6000=24000m3/aq_{out} = q_{in} + q_a = 18000 + 6000 = 24000 \, m^3/a

4. Base Outflow Velocity

vb=qoutWh=240003003=26.67m/av_b = \frac{q_{out}}{W \cdot h} = \frac{24000}{300 \cdot 3} = 26.67 \, m/a


Peak Concentration (Hand Calculation)

Because advection dominates, the peak aquifer concentration can be estimated:

cmax=qac0qoutc_{max} = \frac{q_a \cdot c_0}{q_{out}}

cmax=6000124000=0.25g/Lc_{max} = \frac{6000 \cdot 1}{24000} = 0.25 \, g/L

✔ Key Insight:

  • The aquifer concentration is controlled by dilution, not diffusion
  • This provides a quick validation check against model results

Graphical Output: Concentration vs Time


PDF Report

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Key Results

  • Peak aquifer concentration: 0.25 g/L
  • Transport dominated by advection
  • Dilution governed by flow continuity

Conclusions

  • Advection significantly increases contaminant migration rate
  • Aquifer dilution is critical in determining impact
  • Simple hand calculations can approximate peak concentrations
  • Model highlights importance of accurate hydrogeologic characterization

Engineering Warning

The parameter vb (base outflow velocity) must be carefully evaluated:

  • Depends on:
    • Aquifer transmissivity
    • Hydraulic gradients
    • Landfill recharge
  • In complex systems:
    • Numerical groundwater models may be required
    • Simple continuity assumptions may not be sufficient

Key Engineering Insights

  • This example bridges the gap between:
    • Pure diffusion (Example 2)
    • Real-world transport systems
  • Demonstrates:
    • Importance of flow systems
    • Sensitivity to Darcy velocity
    • Role of aquifer thickness in dilution

Applications

  • Landfill impact assessments
  • Groundwater risk evaluation
  • Regulatory compliance modeling
  • Hydrogeologic sensitivity analysis

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