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Record W2048688567 · doi:10.9753/icce.v34.sediment.25

PORE WATER INFILTRATION AND DRAINAGE ON A MEGATIDAL BEACH IN RELATION TO TIDE- AND WAVE-FORCING

2014· article· en· W2048688567 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCoastal Engineering Proceedings · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeologyPore water pressureWater levelGeomorphologyIntertidal zoneWave setupPressure sensorDrainageBayWind waveHydrology (agriculture)OceanographyGeotechnical engineeringWave propagationLongitudinal wave

Abstract

fetched live from OpenAlex

A pressure and temperature sensor (pT sensor) was deployed at mid-tide level and at a sediment depth of 0.5 m on a steep, megatidal, mixed-sand-gravel beach in Advocate Beach, Bay of Fundy, Nova Scotia, for pore pressure monitoring at the beachface. The pT sensor was buried at a sediment depth of 0.5 m centrally located in the intertidal zone. For comparison, another pT sensor of the same model was synchronized and mounted to an instrumented frame 0.5 m above the beachface at approximately the same location. The tidal range in this area is ~10-12 m. During the experiment, significant wave heights ranging from 0.1-0.9 m and wave periods ranging from 3-8 s were measured. The results demonstrated that the pT sensor was well suited for pore pressure monitoring with regard to tidal variations and wave action in the intertidal zone. A spontaneous infiltration of pore space with the uprising flood tide was observed, while the drainage phase was extended in response to low drainage rates. Regarding wave action, the wave signal was well reflected in the pore pressure records. However, the signal was damped and delayed compared to the in-water pressure signal. Also, wave skewness and asymmetry was more pronounced in the sediment. Despite the very coarse material (d50=0.3-18.5 mm), short phases of pore pressure build up were observed. Based on this data set, a more detailed analysis of pore pressure signals with regard to surficial grain size variations and hydrodynamics will be carried out.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.163
Teacher spread0.157 · 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