Norilsk industrial ecological-geological system, its geocryological features, and anthropogenic impact on it
Notice bibliographique
Résumé
Along with being one of the biggest northern industrial IEGSs globally, the Norilsk IEGS is also one of the most ecologically troublesome. One of the large-scale environmental disasters was the diesel fuel spill in Norilsk, which occurred on May 29, 2020, in the Kayerkan area of the city of Norilsk. The accident resulted in the leak of about 21,000 tons of diesel fuel. This disaster was one of the largest in the history of the Arctic: fuel entered the soil and nearby water bodies, including the Ambarnaya and Daldykan rivers, as well as Lake Pyasino, which is connected to the Kara Sea. The cause of the accident was the subsidence of the reservoir due to permafrost degradation, aggravated by the lack of timely repairs. The spill resulted in massive contamination of soil and aquatic ecosystems, destruction of fish populations, and accumulation of heavy metals in their livers. Norilsk Nickel is the largest industrial polluter in the Arctic. Norilsk Nickel enterprises annually emit about 1.7 million tons of harmful substances into the atmosphere, and the total volume of emissions in the entire Arctic zone of Canada in 2021 was 57 times less than Norilsk's annual emissions. In 2022, Norilsk accounted for 10.5% of all industrial emissions in Russia. Norilsk is located in a zone of continuous permafrost. In winter, the air temperature can drop to –60°C. Climate change and rising average annual temperatures in the Arctic lead to higher temperatures and even partial degradation of permafrost, which threatens urban infrastructure. Over the coming decades, a significant portion of the buildings in Norilsk will suffer due to foundation subsidence. By 2021, more than 40% of buildings in Norilsk had already been subjected to deformation. Palsa finds are known in the northernmost regions, including the vicinity of Norilsk and even in the northernmost regions of Taimyr. Technogenic seasonal injection frost blisters can form near Norilsk due to large water leaks. The paper summarizes the data characterizing the features of the technoedaphotope, technomicrocoenosis, technophytocoenosis, and technozoocenosis of the Norilsk industrial ecological-geological system and its technogenic transformation: a. The thickness of permafrost within the Taimyr engineering-geological megastructure is 600–1000 m. In most of the region, the average annual ground temperature varies from –11 to –13°C; b. The temperature regime of soils in the central part of Norilsk is characterized by positive dynamics of the average annual ground temperature from –7 (in the 1950s) to –3°C (in 2024); c. Palsa (heaving mounds of migration type) are found in the northernmost regions, including the vicinity of Norilsk and even in the northernmost regions of Taimyr; d. Large palsa are found on the southern edge of the Norilsk Plateau in the valley of the Turumakit River, as well as near the Dudinka town; e. Large syngenetic ice wedge ice was encountered in the high terrace of the Sabler Cape, in the basin of the Lake Labaz, near the Sopochnaya Karga Cape and near Dikson; f. The development of the edaphotope and its technogenic transformation within the Norilsk industrial EGS occurs under the active influence of cryogenesis. It was previously established that the distribution of heavy metals by the profile of contaminated soils changes depending on the source of pollution. In the case of predominance of aerotechnogenic input of pollutants, one clearly expressed maximum is observed in the surface organogenic horizon, and two maxima of accumulation of heavy metals in the soil profile are observed near waste disposal facilities; g. Technogenic transformation of the microbiocenosis of the Norilsk EGS is manifested in the low content of microbial biomass, due to the weakly developed vegetation cover in the city and the high level of heavy metals and other pollutants; h. Technogenic transformation of the zoocenosis has the greatest impact on the number of tundra populations of wild reindeer, which is declining due to overhunting, poaching and the growth of the wolf population, as well as the construction of linear structures and the extension of navigation periods on rivers; i. Technogenic transformation of the phytocenosis of the Norilsk EGS is explained by the poorly developed vegetation cover in the city, unfavorable physical and chemical properties of the soil and, above all, the high level of heavy metals and other pollutants.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,005 |
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 ».