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Record W2808687822

Geochemical Controls on Arsenic, Uranium, and Molybdenum Mobility in a Low-Level Radioactive Waste Management Area in Ontario, Canada

2018· dissertation· en· W2808687822 on OpenAlexfundaboutno aff
Danielle R Veikle

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsnot available
FundersCanadian Nuclear Laboratories
KeywordsRadioactive wasteUraniumArsenicMolybdenumEnvironmental scienceUranium miningWaste managementMining engineeringRadiochemistryGeologyChemistryEngineeringMaterials scienceMetallurgy
DOInot available

Abstract

fetched live from OpenAlex

Contaminant leaching from industrial wastes can have widespread negative impacts on water quality, ecosystem processes, and human health. Low-level radioactive wastes derived from uranium (U) ore processing contain several potentially-hazardous metal(loid)s including U, arsenic (As) and molybdenum (Mo). Predicting the release, transport and attenuation of these and other contaminants is challenging due to complex geochemical behaviour impacting their mobility in soils, sediments and groundwater. The release, transport and attenuation of U, As and Mo in these systems is strongly controlled by pH and redox conditions, which influence both aqueous speciation and mineral solubility. \nResearch was conducted to examine geochemical controls on As, U and Mo mobility within soil contaminated with low-level radioactive waste stored in Waste Management Area F (WMAF) at Chalk River Laboratories (Chalk River, Ontario, Canada). Core samples were collected as a function of depth at several locations in WMAF. Geochemical and mineralogical characteristics of these samples was examined and a subset of samples containing elevated concentrations As, U and Mo was selected for additional study. Sequential extractions and synchrotron-based X-ray absorption near edge structure (XANES) spectroscopy identified major forms As, U and Mo present in this subset of samples. Column experiments were conducted to examine release of these elements under anoxic and oxic conditions. Batch experiments were performed to quantify potential for As, U and Mo attenuation by sediments underlying WMAF.\nResults demonstrated that As and U release are strongly controlled by redox conditions and Mo is strongly controlled by pH. In general, As release was greatest under anoxic conditions, while U release was greatest under oxic conditions. In contrast, elevated Mo concentration were observed in leachates generated under both anoxic and oxic conditions. The subsequent mobility of As, U and Mo was reduced via sorption to underlying sediments; however, potential exists for their transport in the groundwater flow system.

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 score0.035
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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