Systems-level geohazard risk assessment in southwestern British Columbia, Canada
Notice bibliographique
Résumé
In Western Canada, geohazards can be related to tectonic events, such as earthquakes and volcanoes, but many are weather-driven events, such as floods, landslides, rockfalls, and snow avalanches. Anthropogenic activities, such as residential development, infrastructure, and climate change also contribute to and increase the overall risk from, geohazards. A recent example is the atmospheric river event that devastated much of the southern British Columbia (BC) province in November 2021. Between November 14 and 15, 2021, a 2,500 km long plume of moisture (atmospheric river) hit the west coast of BC and accumulated significant rainfall breaking 20 rainfall records across the province. This intense rainfall event resulted in regional flooding and triggered numerous landslides across the southern province. The impact included closures of all major transportation corridors, severed rail lines, with no rail connections between Kamloops and Vancouver, and evacuation of close to 15,000 residents.In Western Canada, many geohazards risk assessments are performed within the risk management framework outlined by the Canadian Standards Association. Though guidelines exist, such as the Canadian Technical Guidelines on Landslides, there is no national or provincial standard for managing risk associated with geohazards. Furthermore, BC’s Municipalities Act, which allows individual municipality jurisdictions to manage their own risk, results in uneven distribution of funding and almost always results in emergency response. The insured losses from the November 2021 atmospheric river event are estimated to be $500 million CAD ($370 million USD) and uninsured losses are $9 billion CAD ($6.7 billion USD) and counting. These losses do not account for economic losses due to the closure of major transportation infrastructure networks.Immediate efforts following the November 2021 atmospheric river event focused on opening the major highway routes. However, the rebuilding of failed bridge and highway embankments is considered a temporary solution and further upgrades in designs are needed to account for the increasing frequency and magnitude of future atmospheric river events. With limited resources at all levels of government, the risk associated with regional-level geohazard triggers needs to be better understood in order to prioritize road infrastructure capacity. Keeping the critical highway arteries open is important not only for economic benefits but to allow for emergency access for communities.This research looks to help prioritize road infrastructure capacity based on its vulnerability to atmospheric river-triggered geohazard events. Information related to road closures, geohazard events, and infrastructure damages is compiled and related to preconditions of weather trends and infrastructure capacity leading up to the November 2021 event. Road network analysis is performed by defining consequence assessment parameters, such as average daily traffic, associated economic revenue, availability of safety stopping zones, and infrastructure redundancy. Then the risk is assessed based on the vulnerability assignment of different segments of the road network which is presented in a criticality map.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 source (Gemma direct ou Codex distillé), 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 ».