Contribution au développement d'un indice de pollution des eaux de lixiviation sur le milieu côtier
Bibliographic record
Abstract
RÉSUMÉ: L’objectif de ce projet de recherche est l’étude de la composition de la fraction dissoute du lixiviat des sites d’enfouissement et des effets toxiques causés par celui-ci. L’étude s’étend aux effets de toxicité de la fraction dissoute des lixiviats de trois sites d’enfouissement (Rimouski Matane, Rivière-du-Loup) par 1) l’emploi d’un biotest classique ( CL50-96h sur le gammare) et de Luminotox; 2) l’étude des contaminants organiques par GC-MS et LC-MS; 3) l’étude des contaminants métalliques par ICP-MS; 4) l’étude de la matière organique dissoute par fluorimétrie. Les analyses avec Luminotox et la comparaison avec un biotest classique ont permis de confirmer la validité de Luminotox comme biotest. Le lien entre les analyses chimiques et les biotest ont été confirmés. Les contaminants organiques ne semblent pas être la cause primordiale de toxicité pour les fractions dissoutes des trois lixiviats étudiés. Les concentrations de contaminants métalliques et la matière organique dissoute suivent une forte corrélation et la toxicité y est fortement reliée. Les concentrations en contaminants métalliques, en matière organique dissoute et la toxicité sont plus élevées en fin de cycle annuel. Une forte variation dans la teneur en contaminants organiques et métalliques est remarquée d’un site d’enfouissement à l’autre. Des analyses supplémentaires sur la fraction particulaire sont à prévoir pour prédire la toxicité globale du lixiviat brut. Les méthodes de traitement actuelles du lixiviat sont à évaluer. À la lumière des résultats, les efforts de traitement devraient être maximisés en fin de cycle annuel. -- Mot(s) clé(s) en français : Lieu d’enfouissement technique, Lixiviat, Toxicité, Luminotox, Matière Oraganique Dissoute (DOM), Contaminants organiques, Contaminants métalliques, indice de pollution. -- ABSTRACT: The objective of this research project is to study the composition of landfill leachate’s dissolved fraction and its toxic effects. This study includes the toxic effects of the dissolved fraction of leachate from three landfills (Rimouski, Matane, Rivière-du-Loup) by 1) the use of a conventional bioassay and LuminoTox; 2) the study of organic contaminants by GC-MS and LC-MS; 3) the study of metallic contaminants by ICP-MS; 4) the study of dissolved organic matter by fluorimetry. A comparison between the LuminoTox bioassay and a conventional bioassay confirmed the validity of LuminoTox as a bioassay. The link between chemical analysis and bioassays were confirmed. Organic contaminants do not appear to be the primary cause of toxicity in the three studied dissolved fractions of landfill leachates. Concentrations of metallic contaminants and dissolved organic matter follow a strong correlation and toxicity is strongly connected thereto. The concentrations of metallic contaminants, dissolved organic matter and toxicity are higher at the end of the annual cycle. A strong variation in the organic and metallic contaminants content is noticed between the different landfills. Additional study of the particulate fraction is mandatory to predict the overall toxicity of the raw leachate. Current leachate treatment methods should be evaluated. Based on these results, treatment efforts should be maximized at the end of the annual cycle. -- Mot(s) clé(s) en anglais : Landfill, Landfill leachate, Toxicity, Luminotox, Dissolved organic matter (DOM), Organic contaminants, Metallic contaminants, Pollution index.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".