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Record W7033563533

Real-time detection of water quality aberrations in a water distribution system

2009· dissertation· en· W7033563533 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Atrium (University of Guelph) · 2009
Typedissertation
Languageen
FieldComputer Science
TopicSoftware Testing and Debugging Techniques
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsContaminationWater qualityTap waterTurbidityWater pollutionSewageWater treatment
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an investigation of the vulnerability of a water distribution system to contamination and the potential to mitigate the harmful effects of a contaminant by the use of a contaminant warning system. Potential causes for water quality degradation include, but are not limited to, purposeful attack, back flow in conjunction with a cross connection or cracked watermain, new or repaired watermains, finished storage water facilities, and inadequate separation of water and sewage lines. To ensure water quality in the distribution system is maintained, there are ongoing efforts focused on development of continuous, online detection systems. The systems being developed consist of two parts; a primary system used to initially detect a contamination, consisting of an algorithm that is sensitive enough to detect false positives but trigger an alarm when a contamination is suspected and a confirmatory system that can ensure a contamination has actually occurred. Free chlorine, total chlorine, turbidity, pH, conductivity and TOC have been selected as primary sensors for determining water quality. These instruments are inexpensive and have the capability to operate online and in real-time. The MFI Brightwell assay, the ATP from LuminUltra assay and the spectral fluorescence signature from LDI3 assay have been selected as possible confirmatory systems. The S::can turbidity sensor showed a statistically significant increase in NTU value when 'E. coli' K12 in Milli-Q water was added to tap water at a concentration of greater than 103 CFU/mL. ' E. coli' K12 in-phosphate buffer added to tap water was detected by a free chlorine sensor at concentrations between 9.9x10 4 CFU/mL and 8.8x105 CFU/mL, by a turbidity sensor at cell concentrations between 6.4x104 CFU/mL and 4.3x10 6 CFU/mL, by a nTOC sensor at a concentration of 6.4x105 CFU/mL and by a conductivity sensor at concentrations between 4.1x10 5 CFU/mL and 4.0x106 CFU/mL. This limited the risk of infection of an adult to between 52% and 23%, depending on the amount of free chlorine present in the distribution system. Furthermore, the presence of pathogens in tap water was confirmed, when the chlorine residual was removed, at a concentration of 98 CFU/mL. With increased instrument sensitivity, the reduction of the false positive rate and new methods for ensuring detections, contaminant warning system could soon be a viable option for water protecting public drinking water.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.963

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 science0.0010.000
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 head0.014
GPT teacher head0.237
Teacher spread0.222 · 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