Monitoring Seasonal Variations in Treatment Performance of a Wastewater Stabilization Pond with Algal Blooms and pH Fluctuations
Notice bibliographique
Résumé
In 2012, Environment Canada updated the Wastewater System Effluent Regulations in an effort to reduce the 150 billion litres of untreated wastewater being discharged into Canadian waters annually. The revised regulations will result in the commissioning of over $20 billion in wastewater infrastructure upgrades for municipalities. Many small, rural and remote municipalities use passive wastewater treatment systems, such as wastewater stabilization ponds (WSPs), as sustainable alternatives to conventional wastewater treatment due to their ease of operation, minimal energy input and low costs. WSPs can effectively attenuate nutrient loads while also providing environmental conditions suitable for the removal of pathogens through naturally occurring biological, chemical and physical treatment mechanisms. However, since WSPs are open systems, they are susceptible to variations in external conditions. In particular, they are conducive to algal blooms and high pH events during the summer seasons, with warmer temperatures and higher hydraulic retention times. Water chemistry parameters, temperature, pH, dissolved oxygen, Escherichia coli, nitrate and total phosphorus, were collected from a WSP system in eastern Ontario, with excessive algal growth, over a five-year period. The removal efficiencies of various water quality parameters and indicator organisms for each season were used to determine seasonal treatment and disinfection performance of the system. Multivariate statistical tests and time series analyses were used to determine the strength and type of relationships influencing the WSP treatment for different seasons. Nitrate and E. coli removal were shown to be lowest during the winter periods at 95.6% and 27.9%, while total phosphorus remained consistent throughout the monitoring period. E. coli removal was shown to be significantly negatively correlated with pH (ρ =-0.268, p=0.05) and DO (ρ=-0.390, p=0.01), using Spearman’s correlation coefficient. Seasonal Kendall tests revealed dissolved oxygen levels and nitrate concentrations both significantly decreased during the fall period. This research will be used directly to inform the monitoring program for the WSP system at the site and contributes to the continued improvement of WSP design and performance. The multivariate statistical methodologies presented in this research offer an insightful approach to the monitoring of water treatment systems where large datasets are generated and the extraction of key relationships is critical in informing system design and operation.
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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 | 0,000 |
| 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 ».