Experimental modelling of coastal permafrost weathering in two different setup : a wave flume and a static water tank.
Notice bibliographique
Résumé
Permafrost in high latitudes has been particularly affected by global warming. Its extent is decreasing rapidly, and that can have a significant effect on coastal communities. Because of the ice mixed with sediments, those coasts are affected by important erosive processes, differing from those affecting lower latitudes (Lantuit et al., 2012). The number of studies on coastline dynamics is significant, however the majority have been completed using remote sensing data. Over the last decade numerical models have also been developed (Barnhart et al., 2014) but few studies have tried physical modelling of coastal permafrost (Korte et al., 2020). Physical modelling allows for the observance of the erosional processes during the experiments in the controlled environment. The purpose of this study was to use experimental modelling to improve the knowledge on the processes and the main parameters involved in coastal permafrost weathering.For a first set of experiments, permafrost blocks were created in the M2C cold rooms (Caen University, France) using a cubic box made of Polyvinyl chloride (PVC). The blocks were 30 cm high and 50 cm wide. They were placed in the M2C wave flume (17 m long and 50 cm wide). For the experiments presented here, only regular wave conditions were used. While the block was degrading, it was monitored with several instruments to document its morphological and thermal evolution, along with the hydrodynamic conditions. Their purpose is to observe the changes in permafrost erosion under different experimental configurations (wave height, water height, water temperature, sediment type) to quantify the influence of each parameter on the erosion process. As predicted by different models (Dupeyrat et al., 2011; White et al., 1980) the water temperature remains the critical parameter for the erosion rate, but the granulometry, linked to the porosity and ice structure also has an important impact. Coarser blocks erode at a slower rate. As the block degrades, a cone of loose sediments is formed alongside the receding frozen part. Wave action tends to lower the cone’s slope angle and increase the frequency of gravity-driven processes, as well as creating scallop patterns on the exposed permafrost surface.These experiments were compared to a complementary study carried out in a cubic static water tank. The permafrost blocks were smaller (30 cm high and 30 cm wide) and allowed for the testing of the influence of salinity on the degradation of the blocks. The results in the static water tank could then be compared with the wave flume tests. This comparison allowed for the quantification of the mechanical component of the erosion process while also expanding the test series to include the influence of water temperature and salinity. Salinity seems to only have a small impact on the block’s erosion rate in our setup, compared to the water temperature.
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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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».