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Updated: Dec 28, 2025

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A numerical model to optimize LNAPL remediation by multi-phase extraction.

Shengqi Qi1, Jian Luo2, David O'Connor1

  • 1School of Environment, Tsinghua University, Beijing 100084, China.

The Science of the Total Environment
|February 23, 2020
PubMed
Summary
This summary is machine-generated.

Optimizing multi-phase extraction (MPE) for light non-aqueous phase liquid (LNAPL) sites is crucial. This study developed a numerical model to enhance LNAPL removal, identifying optimal pump placement and flow rates for cost-effective remediation.

Keywords:
Contaminated groundwaterGroundwater modelMulti-phase extractionNon-aqueous phase liquidSoil vapor extractionSustainable remediation

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Area of Science:

  • Environmental Engineering
  • Hydrogeology
  • Remediation Technologies

Background:

  • Light non-aqueous phase liquid (LNAPL) contamination poses significant environmental and health risks.
  • Multi-phase extraction (MPE) is a primary technology for remediating LNAPL-contaminated sites.
  • Optimizing MPE system design is essential for improving effectiveness and cost-efficiency.

Purpose of the Study:

  • To develop and validate a numerical model for optimizing LNAPL mass removal using MPE.
  • To investigate the impact of LNAPL thickness, aquifer permeability, and pump position on extraction efficiency.
  • To compare the cost-effectiveness of MPE with alternative remediation methods.

Main Methods:

  • Development of a numerical model simulating a dual-pump MPE system in a cylindrical aquifer.
  • Model validation using field data.
  • Parametric analysis of LNAPL thickness, aquifer permeability, pump placement, and liquid pumping rates.
  • Cost analysis comparing MPE with chemical oxidation.

Main Results:

  • Contaminant extraction rates are influenced by LNAPL thickness and submerged pump position.
  • Higher extraction rates are observed with greater initial LNAPL thickness (>1.5 m) or high permeability aquifers (>2.45 × 10-10 m2).
  • Optimal submerged pump placement varies by aquifer type (within LNAPL for coarse sand, below interface for fine/medium sand).
  • An optimal liquid pumping rate exists beyond which contaminant removal does not increase.
  • Non-equilibrium modeling is recommended for thin LNAPL layers to avoid overestimation of contaminant removal.
  • MPE is more cost-effective for thin LNAPL layers compared to chemical oxidation.

Conclusions:

  • The developed numerical model is a valuable tool for optimizing MPE system design.
  • Strategic placement of extraction pumps and control of pumping rates are critical for efficient LNAPL remediation.
  • MPE offers a cost-effective solution for specific LNAPL contamination scenarios, particularly for thin layers.