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Record W2313981702 · doi:10.1061/40792(173)158

Application of Real Time Control for CSO and SSO Abatement: Lessons Learned from 6 Years of Operation in Quebec City

2005· article· en· W2313981702 on OpenAlexaboutno aff
Hubert Colas, Luc Robitaille, Alain Charron, Christiane Marcoux, M. Laverdière, Diane Lessard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)Control (management)Combined sewerImplementationReal-time Control SystemAdaptabilityControl areaControl systemComputer scienceEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

In 1999, the City of Quebec commissioned a global optimal real-time control system (GO RTC) with rainfall and flow predictive capabilities for its westerly district wastewater system. This GO RTC system served mainly to reduce separate and combined sewer overflows in the St. Lawrence River and in the St. Charles river. The project involved the implementation of five flow regulation sites in order to take full advantage of excess conveyance, treatment, and in-line storage capacity whenever available. This first phase of the project was a world premiere for this level of real-time control. Now, other communities have taken Quebec City's lead and have implemented such real-time control systems, such as Montreal and Louisville, KY. The design and operation of real-time control in Quebec City drew upon six years of operational experience in order to, among others: 1) Meet and exceed the expected performance defined in the RTC studies; 2) Evaluate the behavior and performance of real-time control under various weather and system degradations; 3) Analyze and assess critical elements in the integrated chain of control from the field to the central station; 4) Refine the design of real-time control systems to ensure safety, reliability, adaptability and flexibility; 5) Enhance the central decision support system, the Csoft software; 6) Better integrate operational needs through RTC system implementations; and Modify RTC measurement and control techniques for better results in various hydraulic 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.981

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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 designObservational
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

Citations3
Published2005
Admission routes1
Has abstractyes

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