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Field-scale multi-phase LNAPL remediation: Validating a new computational framework against sequential field pilot

Kaveh Sookhak Lari1, Colin D Johnston2, John L Rayner2

  • 1CSIRO Land and Water, Private Bag No. 5, Wembley, WA 6913, Australia; Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), Australia; School of Engineering, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027,Australia.

Journal of Hazardous Materials
|November 14, 2017
PubMed
Summary

This study introduces a new simulation framework to predict the effectiveness of subsurface remediation techniques for light non-aqueous phase liquids (LNAPLs). The validated model aids in determining remediation endpoints and managing long-term environmental risks.

Keywords:
LNAPL remediationMulti-componentMulti-phaseRiskSupercomputing

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Area of Science:

  • Environmental Engineering
  • Geotechnical Engineering
  • Hydrogeology

Background:

  • Subsurface contamination by light non-aqueous phase liquids (LNAPLs) poses significant remediation challenges.
  • Effective strategies for LNAPL recovery from groundwater, soil, and soil gas are crucial for environmental protection.

Purpose of the Study:

  • To develop and validate a multi-component simulation framework for predicting the efficacy of various LNAPL remediation techniques.
  • To assess the performance of sequential LNAPL skimming and vacuum-enhanced skimming, with and without water table drawdown.

Main Methods:

  • Field-scale pilot trials were conducted over 78 days, employing sequential LNAPL skimming and vacuum-enhanced skimming.
  • A novel multi-component simulation framework, including the TMVOC-MP code, was developed and validated against pilot trial data.
  • Simulations were performed on both supercomputer and cluster systems.

Main Results:

  • The simulation framework accurately mimicked observed LNAPL recovery rates (0.14 to 3 mL/s) across different remediation methods.
  • The model predicted compositional changes in hazardous chemicals during vacuum-enhanced recovery.
  • Validation against pilot trials confirmed the framework's ability to predict LNAPL mass removal rates.

Conclusions:

  • The verified simulation framework provides a reliable tool for predicting the long-term effectiveness of LNAPL remediation strategies.
  • This tool supports better determination of remediation endpoints and assessment of associated long-term environmental risks.
  • The developed framework advances the field of subsurface remediation modeling and decision-making.