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Record W2078398828 · doi:10.1139/t05-033

Evaporation from a waste-rock surface, Key Lake, Saskatchewan

2005· article· en· W2078398828 on OpenAlexfundvenueaboutno aff
Sean K. Carey, S. Lee Barbour, M. Jim Hendry

Bibliographic record

VenueCanadian Geotechnical Journal · 2005
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEddy covarianceEvapotranspirationEvaporationLatent heatEnvironmental scienceBowen ratioEnergy balanceHydrology (agriculture)Sensible heatPotential evaporationPileWater balanceSoil scienceGeologyGeotechnical engineeringAtmospheric sciencesMeteorologyEcosystem

Abstract

fetched live from OpenAlex

An accurate evaluation of the water balance and net percolation through mine waste-rock piles is critical to the development of decommissioning plans for these wastes. One of the most difficult components of the water balance to quantify is evaporation. Evaporation and the surface energy balance were directly measured from a fine- to medium-grained sand waste-rock pile near Key Lake, Saskatchewan, Canada between 6 June and 25 August 2002 using the eddy covariance method. Actual evaporation for the 81 day study period was 145 mm, which was significantly less than both a potential evaporation of 247 mm and rainfall of 236 mm during this period. The waste-rock pile had a distinct radiation and energy balance as high surface albedo reduced available energy for evaporation. The greatest fraction of daytime available energy was partitioned into latent heat, followed by soil heat flux, and sensible heat flux, respectively. The Bowen ratio averaged 0.45 ± 0.10 for the entire study period. A simple actual evapotranspiration model, which is an extension of Penman and consistent with the complementary approach, was used to simulate evaporation atop the pile. Model results indicate 134 mm of evaporation for the study period and agree well with observations.Key words: evaporation, waste-rock, energy balance, eddy covariance, acid rock drainage.

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 score0.176
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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

Citations17
Published2005
Admission routes3
Has abstractyes

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