Assessing and rating telecommunication infrastructure by social importance and physical vulnerability to wildfire in Alberta, Canada
Notice bibliographique
Résumé
Wildfires pose a significant threat to public safety, making effective communication among responding agencies and with the public crucial during escalated wildfire situations. However, telecommunication vulnerabilities to wildfire have been largely overlooked in fire risk and human dimensions research. In Alberta, a significant proportion of telecommunications infrastructure is positioned in fire-prone regions of the province, with over 600 cellular telecommunications sites contained within the Forest Protection Area (FPA). Proactive mitigation measures such as fuel treatments can reduce the potential risk to and build resilience in communication infrastructure, further strengthening the overall resilience of rural and remote communities. Although, with finite resources available, prioritization is needed to effectively mitigate the risk at the most important and vulnerable towers. This study had two primary objectives. First, I investigated telecommunications vulnerabilities to wildfire in Alberta, Canada with the following objectives: (1) determine the extent of cell phone coverage in Alberta in relation to service demand areas (SDAs); (2) identify to what extent telecommunications infrastructure and SDAs are exposed to potential wildfire; and (3) identify SDAs that have high wildfire exposure and potentially limited cell coverage. I used a fire exposure metric, directional vulnerability assessments, and communications viewshed to identify fire-exposed regions that lack telecommunications coverage and identify the infrastructure most at risk within the province of Alberta. Public safety was assessed through the analysis of Service Demand Areas (SDAs) in relation to gaps in telecommunications coverage and fire exposure. Second, I sought to develop a systematic rating system based on physical vulnerability to wildfire and social importance with the goal of providing a framework for rating telecommunication infrastructure based on multiple factors of vulnerability to allow service providers and forest managers to prioritize those for structure protection or build resilience around those that are lacking. A heterogeneous pattern of telecommunications coverage is distributed across the province, influenced by population densities and roads, and obstructed by terrain. A significant number of telecommunications towers were distributed in areas of high fire exposure (n = 186), possessing hundreds of potential pathways viable to fire transmission. Thousands of kilometres of roadway and hiking trails lack sufficient telecommunications coverage in tandem with being exposed to wildfire. The Grande Prairie and Slave Lake Forest Areas are highlighted as containing the greatest number of telecommunications towers that are both physically vulnerable to fire-induced damage and hold a large social importance. This study provides a comprehensive analysis of the current state of the vulnerabilities to wildfire within the telecommunications network in Alberta. Results and findings reported herein may inform wildfire resilience and mitigation plans, fuel treatments, and future improvements of telecommunications infrastructure.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».