Dépollution des sols : étude expérimentale du traitement par venting
Bibliographic record
Abstract
http://www.pro-environnement.com/environnement/DST/depollution-des-sols-etude-experimentale-du-traitement-par-venting-c4250e9040fc4fi1430.htm The aromatic hydrocarbons (BTEX) and the alkanes are the majority components of the fuels. The period of time passed in the ground induced them different behaviors in the moment of depollution. The goal of this study was initially to develop a simple experimental technique and a reliable exploitation of the obtained results. In particular, we studied the effect of ageing of toluene (BTEX) and heptane (alkanes) on the depollution process by venting. In the mean time, we built a simple mathematical model based only on the physical processes which take place during the ageing and depollution period. From an assumption of homogeneity of the soil and equilibrium between the existence phases of pollutants, the model enabled us to evaluate the output of the current systems and to give the forecast of the progress of venting process. Les hydrocarbures aromatiques (BTEX) et les alcanes sont les constituants majoritaires des carburants légers. La période de temps passée dans le sol leur induit des comportements différents au moment d'une dépollution. Le but de cet étude a été d'abord de mettre au point une technique expérimentale simple et une exploitation fiable des résultats obtenus. Nous avons, en particulier, étudié l'influence du temps de vieillissement du toluène (BTEX) et de l'heptane (alcanes) sur le processus de dépollution par venting et construit un modèle mathématique simple basé seulement sur les processus physiques qui ont lieu pendant la période de vieillissement et pendant la dépollution.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".