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Record W4393398014

Les glissements sous-marins dans l'estuaire du Saint-Laurent, Québec, Canada

2022· preprint· fr· W4393398014 on OpenAlexaboutno aff
Méril Mérindol

Bibliographic record

Venuetheses.fr (ABES) · 2022
Typepreprint
Languagefr
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsEstuaryLandslideSubmarineSubmarine landslideGeologyOceanographyGeographyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : L'estuaire du Saint-Laurent, situé dans la province du Québec au sud-est du Canada, abrite près d'une centaine de glissements sous-marins. Leur présence dans cette région avec un haut niveau d'aléa sismique a conduit à supposer qu'ils ont été déclenchés par la sismicité régionale. Le présent projet de doctorat a donc pour objectif de comprendre l'origine de ces glissements sous-marins. Le projet utilise une grande quantité de données géophysiques, sédimentologiques, datations et géotechniques qui sont intégrées dans des modèles numériques. Les glissements sous-marins de l'estuaire du Saint-Laurent ont des âges synchrones sur près de 220 km et sont corrélés aux séismes historiques majeurs. Ainsi, seule la sismicité peut les avoir déclenchés. L'établissement de cette relation permet d'identifier deux évènements sismiques antérieurs à la colonisation européenne en ~645 CE et ~1145 CE. De plus, le séisme de 1663 CE ressort comme l'évènement majeur des derniers 2000 ans car il a déclenché le plus de glissements sous-marins. Son épicentre positionné dans la région de Charlevoix n'avait pas été révisé depuis près d'un siècle. A partir des glissements sous-marins déclenchés par la liquéfaction du sédiment, l'épicentre du séisme de 1663 CE a pu être repositionné à plus de 120 km au nord-est de sa position initiale. Ainsi, il serait associé à une faille active au large de la ville de Tadoussac, proche de l'embouchure du fjord du Saguenay. Enfin, les plans de rupture des glissements sous-marins se développent aux interfaces d'unités sédimentaires qui correspondent à des transitions d'environnement de dépôt. L'intégration de ces niveaux de décollement dans des modèles numériques permettent de prédire les zones qui en cas de séisme majeur glisseront. En conclusion, la sismicité est le facteur de déclenchement de glissements sous-marins dans l'estuaire du Saint-Laurent et cela s'explique par la liquéfaction de niveaux grossiers (silt à sable) générée par les secousses sismiques. De futurs glissements sous-marins sont susceptibles de se produire à l'avenir soulignant la nécessité d'étudier cet aléa naturel au Québec. -- Mot(s) clé(s) en français : Aléas-géologiques ; Géotechnique ; Liquéfaction ; Paléo-sismologie ; Sédimentologie ; Stabilité de pente. --
\nABSTRACT : The St. Lawrence Estuary, located in the province of Québec in southeastern Canada, is home to almost one hundred submarine landslides. Their presence in this region of high seismic hazard has led to the assumption that they were triggered by regional seismicity. The aim of this PhD project is to understand the origin of these submarine landslides. The project comprises a huge amount of geophysical, sedimentological, age and geotechnical datas which are integrated into numerical simulations. Submarine landslides in the St. Lawrence Estuary have synchronous ages over 220 km and are correlated with major historical earthquakes. Thus, only seismicity can have triggered them. Establishing this relationship allows us to identify two seismic events prior to European colonization around 645 CE and 1145 CE. Moreover, the 1663 CE earthquake appears to be the major event of the least 2000 years because it triggered the greatest number of submarine landslides. Its epicenter located in the Charlevoix region had not been revised for almost century. Using submarine landslides triggered by sediment liquefaction, the epicenter of the 1663 CE earthquake could be repositioned more than 120 km northeast of its originally presumed position. Thus, it could be associated with an active fault off the city of Tadoussac, near the mouth of the Saguenay Fjord. Finally, submarine landslide failure planes develop at interfaces of sedimentary units that correspond to depositional environment transitions. The integration of these levels of detachment in numerical models allows the prediction of areas that will slip in the future, in the case of a major earthquake. In summary, seismicity is the triggering factor for submarine landslides in the St. Lawrence Estuary and this is due to the liquefaction of coarse levels (silt to sand) generated by seismic shaking. Submarine landslides are likely to occur in the future, hence the need to study this natural hazard in Québec. -- Mot(s) clé(s) en anglais : Geological hazards; Geotechnics; Liquefaction; Paleoseismology; Sedimentology; Slope stability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0940.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.220
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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