Dust Generation From Aggregate Comminution During Transport in a Laboratory Wind Tunnel
Bibliographic record
Abstract
Abstract Particle aggregates blown along the surface of playas have been linked to the disruption of interparticle bonds, comminution, and dust production. This mechanism was investigated in a set of wind tunnel experiments with the purpose of examining the rate of comminution during transport, role of bed roughness, influence of humidity, system dynamics, and proportionate amount of dust production. The playa sediment selected for testing was obtained from Owens Lake in California, USA. Particle aggregates with diameters between 500 and 710 μm (0.5 ϕ–1.0 ϕ) were isolated by sieving. Small 20 g subsamples were then introduced into the wind tunnel via a drop tube, with some particles captured on a downwind array of sticky glass plates. Aggregate diameter was found to decrease linearly by 30–56 μm per meter of transport ( r 2 = 0.43) over a total distance of 8.3 m. Enhanced geometric roughness of the bed surface increased this rate, but not dust production and suspension. As compared to an equivalent mass of disaggregated parent material representing the dust emission potential, comminution produced only 0.5%–4% as much suspended PM 10 . Weak longitudinal flow instabilities involving downwelling and upwelling were found to influence the vertically integrated mass transport rate. This affirms the high sensitivity of dust transport to the structure of the wind field and the need for a paradigm shift in wind tunnel simulations of dust emission to extend measurement of the factors governing dispersion beyond one dimension, and specifically, friction velocity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".