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Record W1519478000

Effectiveness of Hydrogen Peroxide in H2S Removal by a Packed High Specific Surface Area Bed Scrubber

2008· article· en· W1519478000 on OpenAlex
Gholamreza Moussavi, Kazem Naddafi, Alireza Mesdaghinia, Madjid Mohseni

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.

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2008
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsData scrubbingScrubberChemistryPacked bedHydrogen peroxideVolumetric flow rateWet scrubberVolume (thermodynamics)Surface-area-to-volume ratioChromatographyLiquid phaseLiquid flowNuclear chemistryWaste managementChemical engineeringOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Removal of H 2 S from waste air streams was investigated in a chemical scrubber packed with new low-cost and high specific surface area media and in the presence of H 2 O 2 in scrubbing liquid. The experimental conditions included superficial gas velocities of v = 500 and v = 840 m h -1 , inlet H 2 S volume fraction in the range of φ = 50 to 250 10 -6 , scrubbing liquid flow rate ranging from Q L = 1 to 10 L min -1 and liquid phase pH of 7 to 12. The results showed H 2 S removal efficiencies of η = 97.5 % to more than η = 99 % at liquid flow rate of Q L = 5 L min -1 and pH of 10 to 11. Overall, it was determined that the media tested and H 2 O 2 can be used in scrubbers for efficient H 2 S removal without the possibility of forming any toxic byproducts.

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 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 score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.151
Teacher spread0.143 · 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