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A functional relation for field-scale nonaqueous phase liquid dissolution developed using a pore network model.

L A Dillard1, H I Essaid, M J Blunt

  • 1Department of Geological and Environmental Sciences, Stanford University, Stanford, CA 94305-2115, USA. inogaret@staped.com

Journal of Contaminant Hydrology
|April 9, 2001
PubMed
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This study developed a pore network model to predict nonaqueous phase liquid (NAPL) dissolution rates. The model accurately estimated dissolution coefficients and interfacial areas, improving field-scale predictions.

Area of Science:

  • Environmental Science
  • Geochemistry
  • Pore Scale Modeling

Background:

  • Predicting nonaqueous phase liquid (NAPL) dissolution is crucial for contaminated site remediation.
  • Existing models often simplify complex pore-scale hydrogeological processes.

Purpose of the Study:

  • To develop and validate a pore network model for estimating NAPL dissolution rate coefficients (Kdissai) and interfacial area (ai).
  • To investigate the influence of NAPL saturation (SN) and pore geometry on dissolution.
  • To integrate pore-scale findings into field-scale NAPL dissolution simulations.

Main Methods:

  • Utilized a pore network model with cubic chambers and rectangular tubes.
  • Computed Kdissai as a function of modified Peclet number (Pe') for varying SN and ai.

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  • Analyzed interfacial area contributions, particularly in water-filled corners.
  • Compared model simulations with constant Kdissai and empirical correlations.

    • Main Results:

    • The largest contributor to interfacial area (ai) was found in water-filled corners of NAPL-containing pores.
    • Dissolution coefficient (Kdiss) showed a weak dependence on hysteresis or SN when divided by ai.
    • Spatially and temporally variable Kdissai maps were generated for field-scale simulations.
    • The pore network model provided improved predictions compared to simpler methods.

    Conclusions:

    • A methodology was established for incorporating pore-scale processes into field-scale NAPL dissolution predictions.
    • The pore network model offers a more accurate approach to understanding and simulating NAPL dissolution dynamics.
    • This research enhances the ability to predict contaminant transport and remediation effectiveness.