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Enregistrement W4401811396 · doi:10.55016/ojs/sppp.v15i1.73187

An Overview of Major Engineering Challenges for Developing Transportation Infrastructure in Northern Canada

2022· article· en· W4401811396 sur OpenAlexaboutno aff
Guy Doré, Eva Stephani, Julie Malenfant Lepage

Notice bibliographique

RevueThe School of Public Policy Publications · 2022
Typearticle
Langueen
DomaineEngineering
ThématiqueUnderground infrastructure and sustainability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTransportation infrastructureCritical infrastructureEnvironmental planningTransport engineeringEngineeringEnvironmental resource managementComputer scienceGeographyEnvironmental scienceComputer security

Résumé

récupéré en direct d'OpenAlex

The transportation corridor proposed to support the development of northern Canada travels extensively through areas of permafrost. The main concern for sustainably developing infrastructure in permafrost terrain arises from melting the ground ice contained in the frozen soils, which can yield to ground subsidence and other geohazards. Permafrost degradation may be triggered by natural processes or anthropogenic activities; it is compounded with climate change, and its impacts on infrastructure are widespread in the Arctic. Advancing our understanding of permafrost dynamics is critical to minimize impacts from geohazards on infrastructure and detrimental consequences on the surrounding natural environment. Permafrost dynamics involve the interactions between factors from the climate,ground surface and subsurface, and in some instances with anthropogenic activities (e.g., infrastructure). Assemblage of these components forms a permafrost geosystem where interactions and feedback are key to the state of permafrost; this aligns with Aristotle’s concept that “the whole is greater than the sum of its parts.” To comprehend permafrost dynamics and interactions with infrastructure, we must characterize the system components and monitor changes. Using comprehensive and interdisciplinary approaches is important because critical linkages may fall at the intersection of disciplines. Infrastructure construction in the North is challenging in many ways. Construction and material sites are remote, harsh weather conditions are frequent and construction methods and infrastructure maintenance in permafrost-affected soils can be difficult and costly. The most common approach is to build and maintain. This strategy involves allowing permafrost degradation to occur and preserving serviceability by intensive maintenance. It generally results in a reduced level of service, comfort, safety and shorter life cycles. Stabilization techniques are required when loss or low level of service are not acceptable. In the context of climate change and widespread permafrost degradation, mitigation techniques are also becoming important for infrastructure that was previously developed according to the build-and-maintain strategy. The different mitigation methods used to limit permafrost degradation along infrastructure can be classified into four main categories: Limitation of ground heat intake in summer; Enhancement of heat extraction from the ground in winter; Reinforcement of the infrastructure embankment and ground stability improvement; and Water management to reduce thermal erosion. There is no generic solution to control permafrost degradation along infrastructure, and rather, the selection of mitigation methods is based on site-specific conditions and is part of the infrastructure management strategy. Maintaining adequate structural and functional conditions of infrastructure, which implies proper investments, is at the heart of solutions for sustainable northern development. All governments, designers, contractors and operators must recognize the need for proper infrastructure management and embrace the role it plays in ensuring the predictability and safety of our public infrastructure. Our understanding of permafrost science and engineering has largely progressed in the last decades, yet important knowledge gaps remain and these need to be addressed for sustainably developing infrastructure in northern Canada. The following were identified as important remaining challenges: intensify efforts to develop knowledge, expertise and reference documents using an interdisciplinary and collaborative approach; foster communication between stakeholders, scientists, engineers and planners and involve First Nations; develop new, affordable and effective technology for permafrost characterizations and monitoring; improve infrastructure design and develop new adaptation technologies; and develop management tools for infrastructure and risk management adapted to northern conditions.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,884
Score d'incertitude au seuil0,974

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
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 Opus0,027
Tête enseignante GPT0,266
Écart entre enseignants0,239 · 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'étudeObservationnel
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

Citations5
Publié2022
Routes d'admission1
Résumé présentoui

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