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Record W4242723189 · doi:10.24124/2017/1377

Sediment-associated contaminant transport and storage dynamics in the Quesnel River from the Mount Polley Mine disaster

2017· dissertation· en· W4242723189 on OpenAlexaff
Richelle Sussbauer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsOkanagan CollegeUniversity of Northern British Columbia
Fundersnot available
KeywordsTailingsSedimentHydrology (agriculture)Environmental scienceGeologyOverburdenTailings damDredgingSTREAMSEstuaryMining engineeringOceanographyGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

In August 2014, the tailings storage facility of the Mount Polley copper-gold mine was breached releasing ~25 million m3 of tailings water and solids into Polley Lake and Hazeltine Creek, which scoured local overburden (1.2 million m3), and deposited these materials in Quesnel Lake. This study examined temporal and spatial movements of sediment-associated elements in Quesnel River, downstream of the lake, between August 2014 and August 2015. Suspended river sediment was collected using active and passive samplers (a continuous-flow centrifuge and time-integrated samplers), while discrete bed sediment was collected using a re-suspension technique. Results indicated elevated trace element levels, especially copper, with significant differences between element concentrations at the upstream site, closer to the breach, compared to downstream sites. Contamination indices and comparison to sediment quality guidelines indicated contamination was present in the river and varied seasonally predominantly driven by Quesnel Lake’s autumnal cooling and overturns.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.999

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 head0.008
GPT teacher head0.202
Teacher spread0.193 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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