Numerical Modelling of Wind-driven Hydrodynamics in Shallow Wastewater Ponds and Coastal Estuaries
Notice bibliographique
Résumé
Throughout the world, shallow water (<5 m) environments, including ponds and estuaries, provide vital contributions to regional economies and environments. Despite their prevalence and importance, questions remain about the complex hydrodynamic processes that occur in these environments. In this thesis, two field sites, characterized by shallow depths and generally bounded by shorelines, are studied using observations and numerical modelling to improve understanding of hydrodynamics that occur in: a waste stabilization pond (WSP) in Ontario, Canada, and a back-barrier estuary in North Carolina, USA. \n \nWSPs are applied for wastewater treatment throughout the world. Typically, they are designed using simplified equations that may not incorporate complex hydrodynamics, and existing numerical models have lacked validation. To address this, field monitoring of water levels, current, and temperatures was used to validate a high-resolution three-dimensional Delft3D model. Hydrodynamics were primarily wind-driven, with smaller contributions from outflows, and circulation patterns were classified into four hydraulic regimes. Vertical temperature differences of up to 8.0°C over the 1.7 m depth between the surface and bed were observed during an 8-month monitoring period, inhibiting mixing through thermal stratification. Using a simulated tracer, the hydraulic retention time was ~22% shorter than predicted by design equations. A dimensionless empirical equation was developed relating the longitudinal current to wind speed, direction, and outflows, which represents an important step toward incorporating hydraulic complexity into design. \n \nDuring extreme storms, wind-driven changes in water levels and intense precipitation can contribute to flooding, particularly on low-lying coastal plains. To investigate the roles of rainfall and wind-driven storm surge on coastal flooding, two major 2016 storms, Tropical Storm Hermine and Hurricane Matthew were simulated using a coupled flow-wave model (Delft3D-SWAN). Results showed that different wind field inputs produced variations in coastal conditions, and that precipitation on the water surface inundated a larger area. This model was extended into a real-time forecast system, which provided generally accurate 36-hour forecasts during Hurricane Dorian, a major storm event that impacted coastal North Carolina in 2019. Collectively, these results emphasize the contributions of different processes to circulation and water levels, and provide guidance on atmospheric forcing impacts in back-barrier environments.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».