By-Products Associated with Structural Rehabilitation for Water Distribution Systems
Bibliographic record
Abstract
ISEE-0802 Background and Objectives: The rehabilitation of water distribution systems can be effected using a membrane impregnated with a thermosetting polymer. The objective of this study was to assess whether this process releases by-products in drinking water, especially bisphenol A diglycidyl ether (BADGE) and triethylenetetramine (TETA). Methods: Water samples were collected at two sites on the network. At each site, 2 samples were obtained before the rehabilitation work, and 8 additional samples were collected over a period of 48 hours after water circulation was restored. Samples were collected from the tap in glass bottles after a purge of 5 minutes. The samples were stored at −20° C and analyzed using liquid chromatography/time-of-flight mass spectrometry. Results: Concentrations of BADGE and TETA in samples collected before rehabilitation were all below the limit of detection (LOD: 0.05 and 2 μg/L respectively). Samples collected after water circulation was restored contained concentrations of BADGE ranging from 0.36 to 1.3 μg/L. Additional samples collected 1 year later still contained detectable concentrations (0.29 and 0.32 μg/L). Concentrations of TETA were below the LOD in all samples. Conclusion: The rehabilitation of the drinking water network with polymers may lead to the release of by-products in trace concentrations over a long period of time. Further analyses are needed to better understand the factors affecting their presence in drinking water.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".