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Record W4389955562 · doi:10.1016/j.eti.2023.103492

Floating reactive barriers to mitigate secondary organic aerosol formation from oil sands tailings ponds

2023· article· en· W4389955562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Technology & Innovation · 2023
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaUniversity of TorontoOntario Research Foundation
KeywordsOil sandsTailingsEnvironmental scienceEnvironmental chemistryPhenanthreneWaste managementContaminationContext (archaeology)Environmental engineeringChemistryAsphaltGeologyMaterials science

Abstract

fetched live from OpenAlex

Oil sands operations to recover bitumen in Alberta, Canada generate large volumes of contaminated water which are stored in tailings ponds. These ponds emit large quantities of intermediate / semi- volatile organic compounds (IVOC/SVOCs) which upon emission can react or partition to form secondary organic aerosols (SOAs), a significant issue concerning human and environmental health. These ponds are one of the largest sources of SOAs in North America, and the responsible VOCs (polycyclic aromatic hydrocarbons (PAHs), alkanes, single ring aromatics) are difficult to treat. Passive technologies that can reduce aqueous emissions and degrade volatiles in-situ are desired. A promising technology is buoyant photocatalysts (BPCs), which float on the surface of water bodies and absorb sunlight to oxidize contaminants. In this work, a glass microsphere TiO2-coated BPC is studied, which forms a semi-porous floating reactive barrier on the surface of water, intercepting VOC emissions and photocatalytically oxidizing them in water before they can be released to air. Based on a group of F2 – F3 hydrocarbons, 16 PAHs (C10 – C22) and 8 alkanes (C11-C18), this BPC technology reduced 89% of these SOA precursor emissions while degrading 84% of the compounds in the system under 2 days of simulated sunlight. In a synthetic tailings pond environment, BPCs were demonstrated to block and treat VOCs of particular concern well (phenanthrene, pyrene, chrysene), while further preventing emissions from free phase hydrocarbons. In context of tailings pond SOA precursor emissions, application of this floating reactive barrier technology to all ponds could reduce the environmental impact of oil sands operations by preventing release of between 2400 to 11000 tonnes of SOAs per year. The proven ability to intercept and treat VOCs in water extends the potential of this technology past the oil sands industry, providing one of the first options for passive fugitive emission management for various industrial water bodies. Synopsis Buoyant photocatalysts permanently prevent aqueous gas emissions and subsequent secondary organic aerosol formation by preventing release while oxidizing aqueous volatiles.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.208
Teacher spread0.202 · 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