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Dissolution of nonuniformly distributed immiscible liquid: intermediate-scale experiments and mathematical modeling
Mark L Brusseau1, Zhihui Zhang, Nicole T Nelson
1Department of Soil, Water, and Environmental Science, University of Arizona, Tucson 85721, USA. brusseau@ag.arizona.edu
Environmental Science & Technology
|March 29, 2002
Summary
Nonuniform distribution of organic liquids significantly impacts dissolution rates. Complex models accurately predict contaminant transport by accounting for heterogeneity, unlike simpler models that require adjusted rate coefficients.
Area of Science:
- Environmental Science
- Geochemistry
- Chemical Engineering
Background:
- Non-aqueous phase liquids (NAPLs) like trichloroethene (TCE) and 1,2-dichloroethane (DCA) pose environmental contamination risks.
- Understanding NAPL dissolution and transport is crucial for effective remediation strategies.
Purpose of the Study:
- To investigate how nonuniform NAPL distribution affects dissolution rate coefficients.
- To evaluate the performance of mathematical models with varying complexity in predicting dissolution behavior.
Main Methods:
- Experiments using intermediate-scale flow cells packed with sand containing emplaced TCE and DCA saturation zones.
- In-situ NAPL saturation measurement using a dual-energy gamma radiation system.
- Quantitative analysis of flow and transport using a 3D mathematical model considering NAPL distribution and permeability variability.
Main Results:
- Aqueous concentrations of TCE and DCA were below solubility due to dilution and flow bypass.
- A 3D model explicitly accounting for heterogeneity accurately predicted NAPL dissolution and mass removal.
- Simpler models required dissolution rate coefficients three orders of magnitude smaller than those from column experiments.
Conclusions:
- Explicitly modeling larger-scale factors influencing dissolution allows the use of local-scale mass transfer coefficients.
- Simpler models yield lumped coefficients that incorporate larger-scale processes not explicitly represented.
- Local-scale dissolution coefficients can predict larger-scale contaminant behavior when heterogeneity is properly modeled.