Notice bibliographique
Résumé
Rainfall percolating through wood chip piles, hog fuel, and log storage areas will leach naturally-occurring chemicals from the wood. This leachate is often characterised by high carbon content, strong colour, and high concentrations of tannin and lignin, resin acids and phenolics. This can be very toxic to aquatic life, and has serious implications from an environmental discharge viewpoint. It can lead to regulatory problems for facilities operators. Research was conducted in a series of phases at a cedar processing site near Mission, British Columbia. It was determined that cedar leachate was amenable to biological treatment. Chemical and ecotoxicological characterization was performed, and combined with the data obtained from treatment screening trials, laboratory-scale constructed wetlands were designed and tested. These constructed wetlands were able to achieve a 90% reduction in toxicity and removal rates of >90% for biochemical oxygen demand (BOD) and 80% for chemical oxygen demand (COD). A pilot-scale program demonstrated that constructed wetlands were able to treat the cedar leachate under field conditions. Initial data obtained during winter operations produced removal rates for toxicity on the order of 50%. BOD and COD removal was slightly less. The system still needs to undergo optimization, but preliminary results indicate several factors which may yield significant improvements in system performance. Thus, it has been demonstrated that a wetland-based biological treatment process is potentially a practical and cost-effective treatment technique for wood leachate. Unit treatment costs are much lower than other technologies; effective physio-chemical treatment techniques are 10 - 30 times more expensive, conventional biological treatments at least 6 times. Also, many of the conventional biological systems have failed to demonstrate effective treatment performance for this type of wastewater. In addition to its cost-effective performance, this constructed wetlands system operates in a passive manner. It requires minimal operational attention and infrastructure. No chemical addition or by-products handling is needed. Possible applications include the collection and treatment of wood leachate from chip piles, wood waste landfills, and hog fuel piles, and the treatment of wood extractives in stormwater runoff from log yards, dryland sorts and staging areas. This system is ideally suited for those applications which require effective, economic treatment of fluctuating runoff loads containing a broad, and often changing, spectrum of contaminants.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».