Numerical analysis of buoyancy effects during the dissolution and transport of oxygenated gasoline in groundwater
Bibliographic record
Abstract
Dissolution of oxygenated gasoline, as well as buoyancy‐driven groundwater flow and transport of the multicomponent dissolved phase plumes, is simulated numerically in three dimensions. The simulations are based on a field experiment described by Mocanu (2007) in which three oxygenated gasoline sources were emplaced as nonaqueous phase liquids (NAPLs) below the water table of the shallow sand aquifer at Canadian Forces Base Borden, Ontario. The sources were composed of an ethanol‐free gasoline mixture spiked with 9.8% methyl tert‐butyl ether and 0.2% tert‐butyl alcohol (GMT‐E0), a gasoline with 10% ethanol (E10), and a source with 95% ethanol (E95). The numerical model includes dissolution of gasoline as a NAPL, density‐dependent groundwater flow, advective‐dispersive transport of the dissolved components, and ethanol cosolvency and degradation. Buoyancy effects in the dissolved plumes were compared under a homogeneous hydraulic conductivity field as well as with five realizations of spatially correlated random fields representing the Borden aquifer. The simulations showed that buoyancy was most significant in the E95 source plumes within the homogeneous system, having induced after 150 days a net upward displacement of the local peak concentrations for all but the least soluble component of approximately 1.5 m. The peak rise in ethanol from the GMT‐E0 and E10 plumes was about 0.6 m. The results highlight the importance of shallow monitoring wells when monitoring high oxygenate fraction gasoline spills in groundwater and have implications for assessing mass fluxes and biodegradation rates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".