Contamination by Slaked Fragments with Sorbed Compounds in a Structured Soil
Bibliographic record
Abstract
An adequate understanding of the mechanisms involved in solute transport through porous media is needed to help design management strategies aimed at controlling ground water contamination. The objectives of this study were, first, to evaluate the effect of soil structure changes on the processes of water and solute transport, and second, to assess the contribution of the fine particles detached during rapid wetting (slaked fragments) to sorbed solute transport. A laboratory study was conducted on a silty loam soil wetted at three rates (slow, medium, and rapid) after adding a soluble compound (Br) and a highly adsorbed compound (radioactive 137 Cs) to sieved aggregates that were then deposited on the untreated soil surface. Soil particle migration (obtained from 137 Cs measurements), Br transport, mean weight diameter (MWD), and wetting rate were measured following the wetting events. The results showed that, from the soil surface down to a depth of 100 mm, sorbed soil particle transport occurred in significantly greater amounts under the rapid wetting treatment than under the slow and medium wetting treatments. For one single rainfall event, the sorbed fraction that left the surface represented about 0.3% of the surface applied amount. This occurred despite the fact that soil disintegration following the rapid wetting process increased the residual mass of Br in the soil from 77% (slow wetting) to 88% (fast wetting) and decreased the speed of water and Br transport through the soil profile. These results imply that contaminants sorbed onto external aggregate surfaces could be transported through the soil profile more quickly and in greater quantities than predicted by conventional contaminant transport models.
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) | 0.000 | 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 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".