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Record W2170450960 · doi:10.1002/ep.670220319

Hydrogen sulfide (H<sub>2</sub>S) removal in synthetic media biofilters

2003· article· en· W2170450960 on OpenAlexaffabout
Zarook Shareefdeen, Brian Herner, Derek Webb, Steve Wilson

Bibliographic record

VenueEnvironmental Progress · 2003
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsBiorem Technologies (Canada)
Fundersnot available
KeywordsBiofilterHydrogen sulfideWaste managementEnvironmental scienceFilter (signal processing)Pulp and paper industryChemistryEnvironmental engineeringEnvironmental chemistrySulfurEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract This paper reviews recent developments in biofiltration as a process for the removal of hydrogen sulfide (H 2 S) from contaminated air using synthetic media. The paper includes results of extensive research, as well as data collected from a commercial biofilter installation at a municipal wastewater pumping station in Ontario, Canada. The results indicate that, for H 2 S concentrations of up to 40 ppm inlet, only 30‐second empty bed residence time (EBRT) is required. But, for lower concentrations (&lt; 12 ppm), 20‐second EBRT is sufficient for complete elimination of H 2 S from airstreams using a synthetic media biofilter. The collected data shows that varying concentrations and flow, resulting in shock‐loading conditions, can be easily handled by a biofilter containing synthetic media. Furthermore, results show that biofilters can be operated underlow (∼2.0) and neutral pH conditions without introducing buffering chemicals into the media. Based on this research data, biofilters are designed and sold for a wide range of applications requiring removal of nuisance H 2 S compound from industrial and municipal air streams.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.844

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 head0.007
GPT teacher head0.195
Teacher spread0.187 · 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 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

Citations33
Published2003
Admission routes2
Has abstractyes

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