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Record W4391367727 · doi:10.2175/193864718825159146

Designing and Integrating Toronto's Largest Sanitary/Combined Sewer Overflow Pumping Station

2023· article· en· W4391367727 on OpenAlexaboutno aff
Pat Schlotzhauer, Nancy Afonso

Bibliographic record

VenueProceedings of the Water Environment Federation · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsSanitary sewerCombined sewerEnvironmental scienceComputer scienceCivil engineeringTransport engineeringMarine engineeringEngineeringHydrology (agriculture)Environmental engineeringGeotechnical engineeringStormwater

Abstract

fetched live from OpenAlex

Designing and Integrating Toronto's Largest Sanitary/Combined Sewer Overflow Pumping StationAbstractThe City of Toronto has launched the largest and most significant stormwater management program in its history to prevent combined sewer overflows (CSO) from entering the waterways. The program includes over 30 km of new tunnels and storage shafts, a new pumping station, a Landform Project with a High-Rate Treatment Facility, and a new treatment plant outfall to Lake Ontario. The new Integrated Pumping Station (IPS) will replace two aging sanitary pumping stations and add a Wet Weather Flow (WWF) pumping system to pump Combined Sewer Overflows (CSOs) to a new high-rate treatment facility. The program will greatly improve the water quality in the Lower Don River, Taylor-Massey Creek and along Toronto’s Inner Harbour by treating CSOs and keeping them out of the waterways. This paper will focus on the design aspects of the new Integrated Pumping Station, highlighting some of the key construction considerations necessary to maintain plant operations throughout construction.The City of Toronto has launched the largest and most significant stormwater management program in its history to prevent combined sewer overflows from entering its waterways. A new Integrated Pumping Station (IPS) will replace two aging sanitary pumping stations and add a wet weather pumping system to pump combined sewer to a new high-rate treatment facility. The program will greatly improve the water quality in the Lower Don River, Taylor-Massey Creek, and keeping them out of the waterways.SpeakerSchlotzhauer, PatPresentation time09:30:0009:50:00Session time08:30:0010:00:00SessionDesign and Construction Challenges for CSO Control ImplementatioinSession locationRoom S403a - Level 4TopicCollection Systems, Intermediate Level, Wet WeatherTopicCollection Systems, Intermediate Level, Wet WeatherAuthor(s)Schlotzhauer, PatAuthor(s)P. Schlotzhauer 1; N. Afonso 2 ; W. Wilton Scott 3; P. Schlotzhauer 1;Author affiliation(s)Black & Veatch 1; City of Toronto 2 ; City of Toronto 3; Black & Veatch 1;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159146Volume / Issue Content sourceWEFTECCopyright2023Word count11

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 score0.255
Threshold uncertainty score0.400

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.190
Teacher spread0.180 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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