What happens in your water system? Impact of materials, temperature, stagnation and chlorination on water quality and biofilm formation
Bibliographic record
Abstract
Building water distribution system materials are diverse and their impact on water quality depends on nutrients, stagnation, and temperature. The main objective was to investigate the interplay between material type, temperature and stagnation on water quality and biofilm formation potential. CDC biofilm reactors were used to compare concentrations of metals, total (DOC) and biodegradable (BDOC) dissolved organic carbon, and total and viable cells densities in water and biofilms in contact with coupons of 6 materials: polypropylene (PP), polyvinyl chloride (PVC), ethylene propylene diene monomer (EPDM), cross-linked polyethylene (PEX), stainless steel (SS) and copper (Cu). All materials were colonized by bacteria, with denser biofilm observed on EPDM > PP > PVC > PEX > Cu – SS. Copper and EPDM reactors showed different dynamics of accumulation and release of Cu and Pb, with bulk Pb concentrations exceeding 5 μg/L. Increasing temperatures from 25 °C to 40, 55 and 60 °C resulted in an increase by at least a factor 2 of DOC and BDOC, a temporary decrease in cell viability (%) and contrasting trends for suspended total bacteria (up to 1.4-log). Biofilm densities remained lower for all reactors after two months of constant heating at 40 °C, even further for copper reactors heated to 55 °C (2.5-log) and 60 °C (2.7-log). A 4-week stagnation at room temperature promoted total bacteria recovery in water and biofilm for all materials except copper. Extending stagnation to 6 months (COVID-19 shutdown) further increased total bacteria and the viable fraction in water, except in copper reactors. • EPDM leaches Pb in drinking water (>5 μg/L) while copper biofilms accumulate Pb. • Materials show diverse biofilm densities: EPDM > PP > PVC > PEX > Cu – SS. • Heating at 40, 55 and 60 °C leads to striking leaching of DOC/BDOC by all materials. • Limited cells recovery after 6-month stagnation in copper previously at 55–60 °C. • High BDOC release followed shock chlorination, highlighting the need of flushing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".