Benchmark Analysis of Solute Transport with Multiaquifer Wells
Bibliographic record
Abstract
A benchmark analysis is developed for assessing the reliability of the representation of multiaquifer wells in numerical solute transport simulators. The analysis considers the installation of a well that penetrates two aquifers that are otherwise isolated. The interconnection of the two aquifers by the multiaquifer well leads to the capture of a plume in an upper aquifer and the development of a plume in a lower aquifer. The benchmark analysis couples an exact Laplace transform solution for radially convergent transport with a generalization of an exact Laplace transform solution for radially divergent transport. The benchmark analysis is used to test the multiaquifer well simulation capability incorporated recently in MT3DMS. The results of the analysis provide insights into important issues of model accuracy and efficiency. The results of the analysis also highlight the potential implications of installing wells with relatively long screens at sites with contaminated groundwater.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".