In search of the water-wise megacity: Assessing current and future challenges for sustainable water management in the city of Toronto
Notice bibliographique
Résumé
Increasing water challenges are threatening urban regions across the world. Cities in developed countries face the paradox of having universal basic water and sanitation services while experiencing water issues that are as daunting as in developing regions. Such is the case of the city of Toronto in Canada that appears as a region with privileged geographic, economic, and political conditions as well as abundant availability of freshwater. However, the city has historically faced a myriad of water issues that are likely to intensify in the future. Toronto experienced rapid urbanization in the last century which will continue in the upcoming years through population growth and infrastructure development. Climate change comprises another issue that will create extra pressure into the water system. Additionally, water management in the region has been presented as a complicated matter due to the high degree of fragmentation of related institutions, creating challenges of integration and coordination. However, a comprehensive assessment of the actual performance of the city’s water management is lacking. In this regard, the main objective of this research is to assess the sustainability of water resources management and the IWRM performance at the city level, as well as the governance capacity to cope with increasing water challenges. It also aims to identify the system’s strengths and weaknesses and enable the comparison with other urban areas in a qualitative and a quantitative manner. For these purposes, two assessment methods are considered. First, The FUNqyWATER-project serves as an introductory approach that aims to qualitatively assess the current demands for a wide range of human water use functions as well as the underlying drivers that may lead to changes in future demands. Second, The City Blueprint Approach aims to facilitate the assessment of IWRM by (i) identifying the external pressures and conditions that affects the water system, (ii) determining the current performance of IWRM and (iii) assessing the city’s governance capacity to cope with a set of key water challenges. As expected, the results reflect positive results in areas such as provision of basic drinking water and sanitation services, preparedness against water risks, and financing capabilities. However, many weak points were revealed that are not evident, such as insufficient tertiary water treatment, the lack of nutrient recovery or the limited influence on decision-making by the community. The results were compared with other cities around the world but especially with those in the North American region. The integration of the two assessment methods is a potential tool that might be replicated in other cities. Cross-city learning is crucial in the transition towards sustainability of water resources and sound water governance in urban areas.
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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».