Notice bibliographique
Résumé
It is important to first understand the components and fate of an effluent plume in the receiving environment before its effects can be fully understood. The purpose of this work was to identify sensing technologies that can be used to monitor an effluent plume in the coastal environment and use selected sensors to compare the observed results with a predictive model. -- The three major coastal wastewater streams in Newfoundland and Labrador are seafood processing effluent, municipal wastewater and produced water. Each has various properties and components that should be considered when studying the plumes' potential effects. Once an outfall is established in a coastal environment, it is essential to continue monitoring to determine if there are any effects to the receiving environment. Both traditional and in situ sampling can be utilized in this task. Traditional sampling involves the use of bottles or divers to obtain samples at predefined coordinates. In situ sampling refers to the use of continuous sensors on a platform such as an autonomous underwater vehicle (AUV) to obtain measurements instantaneously (or the duration of sensor processing time) without the removal of the specimen or sample. In situ sensors are capable of measuring physical, chemical or biological parameters. -- Seafood processing waste represents the largest source of organic wastes in the province of Newfoundland and Labrador, yet is the least understood. Therefore, it was selected for further study. Trials were conducted at a seafood processing plant in Aquaforte, NL in October, 2004. Measurements were taken with a fluorometer (calibrated to detect rhodamine WT), a CTD sensor (used to measure conductivity, temperature and depth) and a dissolved oxygen sensor mounted on the back of an 18 ft inflatable boat equipped with an electric trolling motor to limit plume disturbance. Continuous spatial data corresponding to sensor information was obtained using a global positioning system (GPS) unit. Spatial and oceanographic data were integrated to obtain a visual and quantitative representation of the plume. -- Temperatures in Aquaforte Harbour were relatively constant with variations within one degree Celsius. Salinity was correlated with temperature and was shown to decrease towards the outer harbour region. Dissolved oxygen values were found to be supersaturated for all trials. Rhodamine WT (RWT) was found to follow a typical plume trend and was used for further plume analysis. -- A comparison of the R WT plume was conducted with the plume dispersion model, CORMIX. It was determined that this type of model can be used to simulate seafood processing wastes given that all the variables in the model are known. The trials were successful in demonstrating the use of this sensor package and dispersion model for monitoring a seafood processing effluent plume.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».