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Enregistrement W2295529758

Water, Governance and Sustainability: A Case Study of Water Allocation in Whiteman's Creek, Ontario

2011· dissertation· en· W2295529758 sur OpenAlexaboutno aff
Anthony Maas

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2011
Typedissertation
Langueen
DomaineEngineering
ThématiqueWater resources management and optimization
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSustainabilityCorporate governanceWater resource managementPolitical scienceEnvironmental scienceEnvironmental planningHydrology (agriculture)EconomicsEngineeringManagementEcologyBiologyGeotechnical engineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This research focuses on the role of water governance in building resilience and fostering sustainability in socio-ecological systems (SES). Water governance refers to the structures, processes and actors – and the dynamic interactions among them – that facilitate and influence decisions affecting water resources and aquatic ecosystems in terms of their collective influence on sustainability of SES. As human water demands grow and the impacts of climate change set in, water governance regimes are increasingly challenged to provide sufficient water to support livelihood and economic activities while also protecting the life-supporting functions of freshwater ecosystems. The objective of this thesis was to understand and assess whether governance arrangements for water allocation in Ontario are effectively addressing this challenge.
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\nA broad literature review focused on three overlapping bodies of literature – (1) sustainability, resilience and systems thinking, (2) governance and planning, and (3) water policy and management. From this review, a conceptual framework was developed to guide understanding and assessing the effectiveness of water governance arrangements to enhance resilience and foster sustainability. The framework includes seven criteria: socio-ecological system integrity; equity; efficiency; transparency and accountability; participation and collaboration; precaution and adaptation; and, integration.
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\nA case study of water allocation was undertaken in Whiteman’s Creek watershed, a sub-watershed of the Grand River in southwestern Ontario, where water scarcity is a persistent concern and where conditions are anticipated to worsen under climate change, posing problems for both human livelihoods and the integrity of the creek ecosystem. Data for the case study were collected through content analysis of documents, records and websites and through semi-structured interviews with key informants. The conceptual framework was used to synthesize the data into a narrative from which recommendations for strengthening water governance were proposed.
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\nWater governance is increasingly taking on forms more distributed or polycentric in structure and more inclusive, collaborative and participatory than previous models built largely on top-down, centralized decision making. This shift is viewed by many as a critical element for building resilience and sustainability. While the governance regime for water allocation in Whiteman’s Creek reflects these general trends, the case study findings suggest that Ontario’s existing water governance system is not capable to deal effectively with more frequent and prolonged drought conditions anticipated in Whiteman’s Creek as the climate changes.
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\nIntroduction of decentralized governance arrangements over the past decade, primarily the Ontario Low Water Response (OLWR) plan, has enhanced capacity in Whiteman’s Creek to cope with recurring low water conditions. Yet when pressed with extreme drought conditions, as experienced during the period of field work for this thesis, the challenge of satisfying both instream water needs and withdrawal uses reveals weaknesses in the governance system, including unclear decision-making criteria (e.g., related to hydrological thresholds), uncertainty related to roles and responsibilities of various actors, and generally limited capacity for precaution and adaptation.
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\nRecommendations are proposed for improving water governance in Whiteman’s Creek, and in Ontario more broadly. Ecologically-based thresholds should be integrated into water management regimes to ensure sufficient water is secured to sustain aquatic ecosystem integrity and to provide clarity on limits to permitted allocation and OWLR thresholds. More broadly, a focus on building adaptive capacity and engaging in anticipatory planning will be central to building resilience and fostering sustainability in Whiteman’s Creek.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,224
Score d'incertitude au seuil0,864

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,171
Écart entre enseignants0,164 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2011
Routes d'admission1
Résumé présentoui

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