Measurement of Wind‐Induced Pressure Gradients in a Waste Rock Pile
Bibliographic record
Abstract
An automated data logging system designed to measure gas pressures within a 15‐m‐high waste rock test pile was installed at a diamond mine site in the Northwest Territories, Canada. Data collected from 12 Aug. 2007 to 15 Oct. 2007 shows distinct gas pressure gradients within the waste rock pile. The magnitude of the gradients within the pile shows a clear response to wind speed external to the pile. The direction of the gradients shows a response to the wind direction. The results demonstrate the ability to measure wind‐induced gas pressure gradients within a waste rock pile or other similar porous structures. The general pattern of the observed gradients is inconsistent with the results of numerical modeling assuming homogeneous permeability within the pile. This inconsistency suggests that heterogeneity within the pile and an irregular landscape surrounding the pile affect the way in which the wind flows around and air flows through the rock pile. Calculations of O 2 fluxes using the observed gradients show that wind‐induced air flow through the pile has the potential to be a significant mechanism of O 2 transport, similar in magnitude to other mechanism such as diffusion and convection. These results suggest that wind‐driven advection may be an important process in waste rock piles where the supply of oxygen limits the overall rate of sulfide oxidation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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".