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Record W2406028618 · doi:10.2175/106143007x22096

Treatment of Combined Sewer Overflow Using Retention Treatment Basin Assisted with Polymer Chemical Coagulation

2008· article· en· W2406028618 on OpenAlexaffabout
Ahmed S. El‐Gendy, Jian Guo Li, Nihar Biswas

Bibliographic record

VenueWater Environment Research · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsUniversity of WindsorStantec (Canada)
Fundersnot available
KeywordsCombined sewerEffluentFlushingEnvironmental scienceSettlingChemical oxygen demandSuspended solidsCoagulationTotal suspended solidsWater qualityEnvironmental engineeringWater treatmentBiochemical oxygen demandSewage treatmentWaste managementWastewaterStormwaterEngineeringSurface runoff

Abstract

fetched live from OpenAlex

Pilot plant experiments were conducted to examine the performance of a retention treatment basin (RTB) with chemical coagulation using a cationic polymer in the treatment of combined sewer overflow (CSO) for the City of Windsor, Ontario, Canada. The pilot plant was operated at surface overflow rates (SORs) up to 1370 m3/m2 x d. This study demonstrated that the use of polymer coagulation improved settling characteristics of solids, and allowed the SOR in the RTB to be increased significantly. An optimum polymer dosage to achieve the discharge standards of CSO was determined from the experimental runs. The effluent quality met the Ontario Ministry of the Environment Procedure F5-5 in terms of 5-day biochemical oxygen demand and total suspended solids removals. A flushing box was successfully tested for flushing the collected floatables and sludge from the bottom of the RTB after storm events.

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 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 score0.114
Threshold uncertainty score0.998

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.100
GPT teacher head0.285
Teacher spread0.185 · 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

Citations8
Published2008
Admission routes2
Has abstractyes

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