Modelling landfill leachate-induced clogging of field-scale test cells (mesocosms)
Bibliographic record
Abstract
A two-dimensional fluid flow and reactive transport model, BioClog, created to predict clogging in landfill leachate collection systems is used to calculate the clogging of gravel and treatment of leachate as it flows through the gravel in two real-scale experimental cells, called mesocosms, which represent the portion of a landfill drainage layer adjacent to a landfill collection pipe. These tests were conducted using real-time flows of landfill leachate and were run for about 6 and 12 years. The model computes spatial and temporal changes in clog quantity and composition. An empirical relationship predicts changes in hydraulic conductivity, and a variable mesh technique allows the surface to be free and dependent on calculated hydraulic heads. Calculated porosity change, effluent chemical oxygen demand (COD), and calcium concentrations, along with porosity and clog film thickness at termination are compared with the observed values and found to be in reasonable agreement given the variability and uncertainties associated with these processes.
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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 | 0.001 |
| 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 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".