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Record W4320081323 · doi:10.26434/chemrxiv-2023-zfssl

A solar photocatalytic floating reactive barrier for aqueous gas emissions interception and treatment

2023· preprint· en· W4320081323 on OpenAlexaff
Jeffrey T. Martin, Timothy Michael Carter Leshuk, Bradley Wilson, Aaron Cheung, Zachary W. Young, Frank Gu

Bibliographic record

VenueChemRxiv · 2023
Typepreprint
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsUniversity of TorontoStantec (Canada)
Fundersnot available
KeywordsPhotocatalysisEnvironmental scienceHazardous wasteSulfurAqueous solutionEnvironmental chemistryChemistryWaste managementSulfideSulfateEnvironmental engineeringEngineeringCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Reduced sulfur compounds produced as a by-product of anaerobic digestion pose a significant health and environmental hazard for nearby communities. Here we assessed a novel floating reactive barrier (FRB), comprised of buoyant photocatalysts (BPCs), as a passive solution to intercept and treat malodorous compounds before crossing the air-water interface. Using industry provided samples of oil sands process water (OSPW) containing anaerobically produced aqueous sulfide, the FRB system was evaluated at both the bench and pilot scale. The photocatalytic FRB demonstrated a 95% reduction in H2S emissions at the lab scale and up to 98% at the pilot-scale under outdoor weather conditions and natural sunlight. H2S emissions intercepted by the FRB were found to be oxidized to non-volatile sulfate. An empirical reactive transport model describing the performance of the FRB is proposed informed by the results obtained in this work. The photocatalytic FRB described herein is proven to be an effective measure for the mitigation of potentially hazardous reduced sulfur compound emissions under solar UV conditions.

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 categoriesMeta-epidemiology (narrow)
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 score0.301
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.039
GPT teacher head0.290
Teacher spread0.252 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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