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Record W1596454139 · doi:10.1029/2007wr005970

On the appropriate “equivalent aperture” for the description of solute transport in single fractures: Laboratory‐scale experiments

2008· article· en· W1596454139 on OpenAlexaff
Qiang Zheng, Yiping Guo

Bibliographic record

VenueWater Resources Research · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAperture (computer memory)AdvectionMechanicsScale (ratio)Fracture (geology)Work (physics)Variable (mathematics)Dispersion (optics)GeologyOpticsMaterials scienceMathematicsPhysicsGeotechnical engineeringMathematical analysisAcousticsThermodynamics

Abstract

fetched live from OpenAlex

Three distinct definitions of “equivalent aperture” have been used in the literature to describe variable‐aperture fractures; however, significant inconsistencies exist in the literature as to which “equivalent aperture” is appropriate for simulating solute transport. In this work, a systematic series of hydraulic and tracer tests was conducted on three laboratory‐scale fracture replicas, and the cubic law, mass balance, and frictional loss apertures were calculated. The analytical solution of the one‐dimensional advection‐dispersion equation was fit to the experimental breakthrough curves. Additionally, one of the experimental aperture fields was measured directly using a light transmission technique. The results clearly demonstrate that the mass balance aperture is the only appropriate “equivalent aperture” for describing solute transport in a single variable aperture fracture and that the mass balance aperture is an excellent approximation of the arithmetic mean aperture. Previously, these conclusions have been reached based only on theoretical and numerical analyses.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.304
Teacher spread0.219 · 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 designBench or experimental
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

Citations29
Published2008
Admission routes1
Has abstractyes

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