Enviro-Actions: a preventive management tool designed for industrial port areas of the world
Notice bibliographique
Résumé
For several years, research studies have shown that anthropogenic activities can impact the environment. It is therefore essential to understand how environmental stressors may influence ecosystems and biodiversity, especially in industrial and/or port areas where many activities are cooccurring. From a perspective of sustainable development, economic development and diversification of industrial port areas are essential to maintain a stable economy, and it is imperative that decision-makers have access to scientific support adapted to their specific needs, allowing them to ensure the preservation of terrestrial and marine ecosystems, as well as the health of communities and workers. In addition, considering that the majority of industrial port areas are located close to urban areas, a management model integrating data at a high resolution becomes essential.Twenty years ago, impacts of industrial development within and outside industrial-port areas attracted little attention from the population, and information capacity was limited by the tools of that time. Nowadays however, social acceptability requires transparency and communication of environmental information involving actors with a neutral point of view and a scientific credibility. In this context, INREST has developed a preventive environmental management tool, the Enviro-Actions Model, that integrates collection and transmission of big data in near real-time using artificial intelligence for data analysis as well as the transmission of preventive alerts to stakeholders at different levels. These actions allow environmental management to act in a prevention mode rather than after possible perturbations have occurred. This model is being implemented in Quebec (Canada), in the Port of Sept-Îles, the largest mineral port in North America and the second among Canadian ports in terms of annual volume of operations, and in the Port of Saguenay and Rio Tinto Saguenay. With successful deployments since its creation, the Enviro-Actions Model is proposed to other harbour administrations within and outside Canada, supporting proactive ecological management within a vast network of collaborators, and has been endorsed by the international intergovernmental commission of UNESCO as a featured project for the Decade of Ocean Science for Sustainable Development.
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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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».