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Record W2534018261 · doi:10.1139/cgj-2015-0530

Hydrogeological behaviour of an inclined store-and-release cover experimental cell made with phosphate mine wastes

2016· article· en· W2534018261 on OpenAlexaffvenue
Jihane Knidiri, Bruno Bussière, Rachid Hakkou, Bruno Bossé, Abdelkabir Maqsoud, Mostafa Benzaazoua

Bibliographic record

VenueCanadian Geotechnical Journal · 2016
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsEnvironmental scienceLysimeterHydrology (agriculture)HydrogeologyPrecipitationAridGeologyInfiltration (HVAC)Geotechnical engineeringSoil scienceSoil waterMaterials science

Abstract

fetched live from OpenAlex

A field study was conducted at the Kettara mine site located in arid climatic conditions in Morocco. The goal was to assess the performance of an inclined store-and-release (SR) cover made with phosphate mine wastes to reduce water infiltration and control acid mine drainage (AMD). The SR cover was constructed using phosphate mine wastes (0.8 m) placed over a capillary break layer (CBL) made of coarse-grained materials. The SR cover had a slope inclination of 14.5°. The cover performance was monitored for a period of 1 year under natural and artificial conditions representing important rainfall events for the climatic conditions at the Kettara mine site. Performance was monitored using volumetric lysimeters, suction sensors, and volumetric water content sensors installed at four stations and at different depths. Under natural climatic conditions, the inclined SR cover limited water percolation by diverting and releasing water to the atmosphere through evaporation. However, the cover was unable to store and divert all the water at a precipitation rate >100 mm in 48 h, and percolation was observed in the lysimeters. Nevertheless, the results confirmed the suitability of phosphate mine wastes as cover material for a 31.5 m inclined (≈ 14.5°) SR cover placed over the Kettara mine wastes in natural climatic conditions and for precipitation events <100 mm in 48 h.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.477

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 head0.007
GPT teacher head0.191
Teacher spread0.185 · 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 teacher head, 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

Citations24
Published2016
Admission routes2
Has abstractyes

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