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Enregistrement W7058436804

New insights into submarine channel evolution revealed by repeat seafloor mapping

2021· dissertation· en· W7058436804 sur OpenAlexaboutno aff

Notice bibliographique

RevueePrints Soton (University of Southampton) · 2021
Typedissertation
Langueen
DomaineEngineering
ThématiqueMagnetic Field Sensors Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChannel (broadcasting)Submarine pipelineSinkholeSubmarine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Submarine channel systems are one of the main conduits for the transport of land-derived material, such as sediment, organic carbon, nutrients, and pollutants to the deep sea. The seafloor-hugging flows, called turbidity currents, that transfer this material through these channels can be destructive and can affect the shape and stability of the seafloor. As a result, these flows can damage important seafloor infrastructure such as telecommunication cables that underpin the internet. Despite their importance, these submarine systems are less well understood than rivers. This is because submarine channels are difficult to monitor, since satellite imagery has limited penetration beyond shallow water depths, and because of the destructive nature of turbidity currents. The paucity of direct observations of turbidity currents and how they shape submarine channels means that we lack a complete understanding of how these systems work. This thesis presents two unique sets of repeat seafloor surveys of active submarine channel systems. First, ten repeat surveys of the submarine channel in Bute Inlet, British Columbia, Canada, are presented; each of which covers the system from source to sink. Second, a set of 20-year spanning surveys of the Congo Channel, offshore West Africa, is presented, which show for the first time how a major margin-scale submarine channel system evolves. These high resolution repeat surveys are analysed to document the nature and rate of erosion and deposition that occurs along submarine channel systems from source to sink for the first time. The overarching aim of this thesis is to use these observations to determine which processes control the evolution of submarine channel systems and how they modulate the transport of sediment to the deep sea. This aim is addressed through three sub aims. First, this thesis investigates which processes control the evolution of submarine channels. Previous studies have shown that processes such as meandering, the growth of levees, and the migration of bedforms can control channel evolution. Based on repeat surveys in Bute Inlet, the rapid upstream-migration of steep waterfall-like features, called knickpoints, are instead shown to play the most important role in submarine channel evolution than these other features. Similar knickpoints have been documented from seafloor surveys in many other submarine channels worldwide; hence this mechanism may be globally significant. Second, this thesis investigates how sediment is transported through the submarine channel in Bute Inlet and onto the terminal lobe, that is located at the distal end of the channel. Some sediment transport models suggest that sediment is transported directly from the head of a system to the lobe by a single turbidity current, while others suggest that submarine channel systems undergo cycles of filling and flushing. This thesis demonstrates that sediment is most likely to go through several steps of deposition and re-excavation before reaching the lobe. These steps of reworking are controlled by knickpoints and can generate zones of sediment bypass on longer timescales. The delivery of sediment to the lobe is discontinuous and does not directly correlate with signals in sediment input into the system; hence, terminal lobes are not necessarily strong recorders of external environmental signals, as was previously often assumed. The third aim is to investigate how different processes control channel evolution along the length of a much longer margin-scale submarine channel system. This thesis shows that the Congo Fan system can be divided in three distinct zones based on the different processes observed: i) a proximal canyon dominated by canyon-flank collapses; ii) a meandering intermediate channel; and iii) a distal knickpoint-dominated channel. The transitions between these zones are controlled by channel maturity and basin structure. Although different zones are present, sediment can be temporarily stored and re-excavated along the entire margin-scale system. This thesis presents new insights into the processes that control submarine channel evolution, recognising that the role played by knickpoints may have been previously underestimated or entirely overlooked in many systems. Furthermore, this thesis shows how the nature of evolution in large submarine channels may act to both temporarily inhibit or promote sediment transfer to the deep sea. Dynamic seascape modification by recurrent flows of variable power ensures that sediment transfer to the system terminus is temporally staggered and discontinous, rather than continuous. In general, the repeat surveys reveal the complexities and importance of different internal processes in sediment transport, storage, re-excavation, and its ultimate fate. Submarine channel systems can be remarkably dynamic, with pronounced reworking along the entire length of active systems. New marine technology has and will continue to provide important new insights in understanding these dynamic systems that play a globally important role in sediment transfer.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,175
Écart entre enseignants0,170 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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