Exploring the Statistical Method of Moments for Solute Transport in Fractured Porous Rock Aquifers: Bridging the Gap between Local and Regional Scales
Bibliographic record
Abstract
This study uses the Method of Moments (MoM) to define formation-specific macrodispersivities for the simulation of transport and the delineation of capture zones in fractured porous media. This combines the advantages of the efficient Equivalent Porous Medium (EPM) method, which has limited validity, and the Discrete Fracture Matrix (DFM) method, which is unconditionally valid but impractical for regional-scale applications. The underlying concept was shown to be valid for highly heterogeneous systems by embedding it into a stochastic process and using data from the Gasport formation (Guelph, ON). Challenges encountered include the limitations of available computing power, which forced reducing the 3D system to 2D, in turn affecting the modelled transport behaviour. Uncertainties in the macrodispersivities due to MoM implementation were dominated by uncertainties due to hydrogeologic heterogeneities. Overall, a MoM-enhanced regional-scale EPM model can be an efficient tool for simulating transport and delineating capture zones in fractured porous media.
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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) | 0.000 | 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".