MIGRATEv10 vs POLLUTEv10: Advective–Diffusive Transport Comparison

Comparison of advective diffusive transport results from MIGRATEv10 and POLLUTEv10 showing rapid breakthrough and matching profiles
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Overview

This example compares advective–diffusive transport results from MIGRATEv10 and POLLUTEv10 using identical input conditions. The goal is to evaluate consistency between the two models while highlighting key differences in how they represent contaminant transport.

Unlike pure diffusion, this case includes advection, resulting in much faster contaminant migration and earlier breakthrough at depth.


Model Setup

Both models were configured with the following parameters:

  • Layer thickness: 4 m
  • Diffusion/dispersion coefficient: 0.01 m²/a
  • Porosity: 0.4
  • Sorption: None (Kd = 0)
  • Vertical velocity: 0.1 m/a
  • Top boundary: constant concentration (1 mg/L)
  • Bottom boundary: advective outflow (aquifer)

This represents a classic advection–dispersion problem governed by:

  • Advection (bulk flow transport)
  • Dispersion (spreading due to diffusion + mechanical dispersion)

Results Comparison

Concentration Profiles (Centerline Comparison)

At the centerline (x = 0 m in MIGRATEv10), results closely match POLLUTEv10.

Example: 10 Years

Depth (m)MIGRATEv10 (mg/L)POLLUTEv10 (mg/L)
01.0011.000
11.0000.9998
20.8890.889
30.1490.149
43.09E-052.80E-05

The agreement is excellent, confirming both models solve the governing equations consistently.


Key Observations

1. Rapid Downward Migration

Advection dramatically accelerates contaminant movement:

  • At 5 years → plume is still developing
  • At 10 years → contaminant has nearly reached the base
  • At 15–20 years → most of the profile approaches source concentration

This is a major contrast to pure diffusion, where penetration is slow and gradual.


2. Breakthrough at the Base

Key insights from the plot

1) Arrival time is nearly identical

  • Both models show first arrival ~10–15 years
  • This confirms consistent advection velocity implementation

2) POLLUTE reaches steady state faster

  • Quickly approaches ~0.25 mg/L
  • Represents 1D, no lateral dilution (worst-case)

3) MIGRATE predicts lower long-term concentrations

  • Gradually increases to ~0.17 mg/L at 100 years
  • Due to lateral spreading reducing vertical flux

4) Shape difference is important

  • POLLUTE → sharp breakthrough, fast plateau
  • MIGRATE → smoother rise, delayed stabilization

👉 This is a classic signature of 2D plume spreading vs 1D transport

3. Lateral Spreading (MIGRATEv10 Advantage)

MIGRATEv10 provides additional insight by modeling lateral transport.

Example: 5 Years, Depth = 1 m

DistanceConcentration
x = 0 m0.826 mg/L
x = ±100 m0.413 mg/L

This shows:

  • Higher concentrations at the centerline
  • Lower concentrations at the edges due to lateral spreading

POLLUTEv10 does not capture this effect and effectively represents the centerline (maximum concentration) case.


4. Mass Transport (MIGRATEv10 Only)

MIGRATEv10 tracks cumulative mass movement:

  • At 20 years:
    • Mass into soil ≈ 403
    • Mass into base ≈ 85
  • At 100 years:
    • Mass into soil ≈ 2002
    • Mass into base ≈ 1684

This demonstrates substantial contaminant flux driven by advection.


5. Boundary Condition Consistency

Although implemented differently:

  • MIGRATEv10 uses an aquifer boundary with specified outflow velocity
  • POLLUTEv10 uses a fixed outflow boundary

Both approaches produce equivalent results in this scenario.


Key Differences

FeatureMIGRATEv10POLLUTEv10
Dimensionality2D (lateral + vertical)1D (vertical only)
Lateral spreadingIncludedNot included
Centerline resultsMatch POLLUTEv10Benchmark
Mass trackingYesNo
Use caseFinite-width sources, plume behaviorScreening-level vertical transport

Interpretation

  • POLLUTEv10 provides a conservative estimate (no lateral dilution)
  • MIGRATEv10 provides a more realistic plume representation

At the centerline, both models agree. Away from the centerline, MIGRATEv10 predicts lower concentrations due to spreading.


Conclusion

This comparison shows that:

  • Both models accurately simulate advective–diffusive transport
  • Results are nearly identical for 1D conditions
  • MIGRATEv10 extends capability to 2D systems with lateral spreading and mass tracking

For practical applications:

  • Use POLLUTEv10 for fast, conservative vertical assessments
  • Use MIGRATEv10 when geometry, plume shape, or mass flux are important


Learn more about our Contaminant Transport Modeling Solutions



Comparison between POLLUTE and MIGRATE

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