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Record W6989117787

ABIOTIC AND BIOTIC SEQUESTRATION OF SELENIUM IN ANOXIC COAL WASTE ROCK

2017· dissertation· en· W6989117787 on OpenAlexfundno aff

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2017
Typedissertation
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institute of Mining, Metallurgy and Petroleum
KeywordsAnoxic watersCoalCoal miningWeatheringMineralWaste disposal
DOInot available

Abstract

fetched live from OpenAlex

Waste rock dumps at coal mines in the Elk Valley are the primary source of selenium (Se) in the Elk River.The mobile Se oxyanions, Se(IV) and Se(VI), can be adsorbed to mineral phases or reduced biotically or abiotically to Se solid phases, such as Se(0).Microbial analyses and geochemical testing were conducted to determine if Se can be sequestered in anoxic coal waste rock by these mechanisms.Testing was conducted on a waste rock sample collected from the West Line Creek waste rock dump in the Elk Valley and a water sample collected from the rock drain flowing beneath the dump.Microbial analyses included culturing with plate and broth media and 16S rRNA gene sequencing.The key finding from these analyses was that bacteria capable of reducing Se(VI) to Se(0) were present in the waste rock sample and bacteria capable of reducing Se(IV) to Se(0) were present in the rock drain water sample.Geochemical tests included abiotic batch tests on waste rock and pure minerals, non-sterile batch tests on waste rock, and desorption batch tests on waste rock, as well as several solids analysis techniques, such as X-ray Absorption Spectroscopy and Energy Dispersive X-ray Spectroscopy.Batch tests were conducted at circumneutral pH in an anoxic glove box to simulate an anoxic zone of a waste rock dump.Batch testing on pure minerals present in the waste rock sample determined that siderite can reduce Se(VI) to Se(IV) and that siderite, pyrite, and sphalerite can adsorb Se(IV) and reduce Se(IV) to Se(0).Under sterile conditions, waste rock did not reduce Se(VI) but it did adsorb Se(IV) and reduce Se(IV) to Se(0).Under non-sterile conditions, Se(VI) was reduced to Se(IV) much faster than the sterile tests with siderite and Se(IV) was removed from solution by a combination of adsorption, biotic reduction, and abiotic reduction.Desorption batch testing showed that a fraction of sequestered Se was susceptible to desorption but that the fraction decreased over time.These findings suggest that sequestration of Se in anoxic coal waste rock is a viable method to decrease the amount of Se discharging from Elk Valley waste rock dumps.iii

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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