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Record W2972935226 · doi:10.14796/jwmm.c467

An Innovative Method for Installing a Separate Sewer System in Narrow Streets

2019· article· en· W2972935226 on OpenAlexvenueno aff
Alaa Abbas, Iacopo Carnacina, Felicite Ruddock, Rafid Alkhaddar, Glynn Rothwell, Robert Andoh

Bibliographic record

VenueJournal of Water Management Modeling · 2019
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsnot available
FundersLiverpool John Moores University
KeywordsInstallationSanitary sewerConstruction engineeringCivil engineeringComputer scienceEnvironmental scienceEngineeringTransport engineeringEnvironmental engineeringOperating system

Abstract

fetched live from OpenAlex

Separate sewer systems are currently used in all new developments and are prevalent in comparison with combined sewer systems, the use of which is limited due to numerous environmental regulations. However, the narrow streets common in the United Kingdom, Europe, and other densely populated countries are usually occupied by complex networks of infrastructure services; consequently, finding space to install a traditional separate sewer system is challenging. This paper presents an original design for separate sewer systems that overcomes this challenge by combining the advantages of separate and combined sewerage systems into one sewer network. The proposed system includes a novel design for the access chamber shape that allows storm flows and foul flows to pass through it without mixing and allows one trench to accommodate both pipelines. Applying this system in a case study showed a reduction in construction costs of approximately 10% and a 16% reduction in the footprint; moreover, the construction time was decreased by 44%, and the storage capacity and retention time were increased by 280% and 200%, respectively.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.261
Teacher spread0.245 · 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 designSimulation or modeling
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

Citations4
Published2019
Admission routes1
Has abstractyes

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