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Record W4283160529 · doi:10.5194/icg2022-172

Seepage erosion and escarpment retreat in flysch formation under mid-latitude cold climate

2022· preprint· en· W4283160529 on OpenAlexaffabout
Francis Gauthier, Chloé Chouinard, Tom Birien

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsRockfallGeologyFlyschEscarpmentErosionGeomorphologySedimentary rockHydrology (agriculture)GeochemistryLandslideGeotechnical engineering

Abstract

fetched live from OpenAlex

The development of erosional features in rockwalls indicate the transition from back-wearing (parallel retreat) erosion to down-wearing by linear dissection. Following Rapp (1960), erosional features such as chutes and funnels are the results of successive undermining rockfalls released by thawing after frost damage. The process doesn’t start from the top of the slope but over a scar leave by a large magnitude rockfall which can appear anywhere on the rock face. Sauchyn et al. (1998) suggest that the type of erosional features (chutes, funnels, open cirques) is under structural control in stratified sedimentary rock. Other, like Dunne (1990), Laity & Malin (1985), Lipar & Ferk (2015) or Duszyński et al. (2016) attributes the development of erosional features and the subsequent development of amphitheatre valley heads to underground erosion by subsurface flow. The presence of perennial spring in erosional features on the flysch rockwalls of the northern Gaspé Peninsula (Eastern Canada) suggest that these notches may be the result of seepage erosion. However, observations show that groundwater seeps out the scar of large magnitude rockfalls. If the location of the spring is conditioned by geological and structural setting, the development of erosional features may as well be under geological and structural control. To support these premises and the development of a conceptual model of erosional features formation, a detailed geological, hydrogeological and climatological characterization was carried out. Meteorological instruments, including temperature probes inserted inside horizontal borehole, were installed directly on a rockwall. Four observation wells were drilled on the plateau above the rockwall and around an erosional features. The hydraulic conductivity was determined using pneumatic slug tests performed every 1.6 meters in the boreholes. The hydraulic gradient was calculated from continuous measurements of the water table using water level logger. An optical borehole televiewer, a three-art caliper probe, an induction conductivity probe and a gamma ray detector were also used to support the geological and structural analysis of the rock mass. A structural analysis was also performed on the surface of the rockwall. The results show that the elevation and the location of the spring on the rockwall is not conditioned by a permeability contrast between geological units, the presence of a perched water table or by a network of interconnected fractures channels water. Our result show that groundwater simply reaches the rockwall surface in the erosional feature. At the periphery of the notch, the hydraulic head decreases significantly in the highly weathered and fractured rock layer near the rockwall surface. Depending on the winter severity, seasonal freeze thaw cycles reaches three to five meters deep into the rockwall. Water seepage and ice formation in the erosion notch maintain the rock temperature above 0oC during winter. Large magnitude rockfalls mainly occur in spring after thawing and groundwater supply near the rockwall surface. The initiation and the development of erosional features in flysch formations appear to be controlled through the interaction between groundwater inflow near the surface of the rockwalls and the meteorological conditions that drive frost weathering.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.422

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes2
Has abstractyes

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