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Record W2339312205

Biogeochemical prospecting for buried uranium mineralization and the investigation of black spruce trees as a tool for biogeochemical sampling and for environmental monitoring of radionuclide contamination

2014· dissertation· en· W2339312205 on OpenAlexaboutno aff
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Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2014
Typedissertation
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsBiogeochemical cycleBlack spruceMineralization (soil science)Environmental chemistrySoil horizonRadionuclideUraniumSoil testChemistryEnvironmental scienceGeologySoil waterSoil scienceForestryGeography
DOInot available

Abstract

fetched live from OpenAlex

Surface geochemical methods were applied to delineate uranium (U)
\nmineralization buried under till cover in the Jacque’s Lake area, Labrador. Samples
\nanalyzed included black spruce twigs, bark, and needles; Labrador tea leaves and stems,
\nand B-horizon soil. These results were compared to defined radiometric U/Th anomalies
\nin the study area. Relative U enrichment followed the order: spruce twigs>bark
\n>Labrador tea stem>spruce needles>Labrador tea leaves. Spruce twigs displayed the
\ngreatest contrasts in U contents and exhibited a significant association with the U/Th
\nanomalies. Twig U concentrations ranged between <0.01 to 61 ppm and were highly
\ncorrelated with Pb, Ag, Sb, Ca, and Be. Areas with anomalous U concentration in <250
\nμm sized-fraction of B-horizon soil appeared displaced east of the defined U/Th
\nresponses and the near surface projection of the buried U mineralization. There is a lack
\nof correlation between U concentration in B-horizon soil and the defined radiometric
\nanomalies.
\nThe U hyperaccumulation by black spruce trees was investigated and the possible
\nuse of ²³⁸U/²³⁵U ratio as a tracer for fingerprinting the source and transport pathways of U
\ntaken up by vegetation was examined. The U accumulation property of the black spruce
\nseedlings was evaluated by measuring the metal uptake in seedlings grown in peat and in
\nsoil treated with varying concentrations of uranyl nitrate. The bioavailability indexes of U
\nin soil treated with 100, 250, and 400 mg U/Kg soil were estimated to be 0.21, 0.15 and
\n0.10 respectively. Uranium concentrations in seedling stems, the Biological
\nAccumulation Coefficient (BAC), and Transfer Factors (TF) increased linearly with increasing bioavailable concentration of U in the substrates. The metal accumulation in
\nthe plant tissues followed the order stem > roots > needles. Although the trend of U
\naccumulation was comparable for plants grown in U-dosed soil versus U-dosed peat, the
\nBAC values for plants grown in U-spiked soils were higher suggesting that metal
\navailability was substrate specific.
\nThe source of U taken up by the spruce seedlings was evaluated by Inductively
\nCoupled Plasma-Quadrupole Mass Spectrometry (ICP-QMS) and Neutron Activation
\nAnalysis (NAA) analyses of ²³⁸U/²³⁵U ratios in stems of seedlings grown on substrates
\nmounted in solutions spiked with different concentrations of DU. The ²³⁸U/²³⁵U ratio in
\nthe stems exhibited measureable deviations from the natural ratio (137.88) and ranged
\nfrom 174-210 and is a consequence of the bulk uptake of U derived from the DU
\nsolutions. Elevated ²³⁸U/²³⁵U ratio in the substrates suggests upward migration of DUenriched
\nsolution along the substrate column. The precision (1σ) for ICP-QMS
\ndetermination of ²³⁸U/²³⁵U in DU-spiked substrates, and the stems of seedlings, are
\n0.02%-2.7% and 0.05%-1.9%, respectively.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.061
GPT teacher head0.339
Teacher spread0.277 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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