Sedimentation: Hydraulic improvement of drinking water biofiltration
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.
Bibliographic record
Abstract
Abstract The performance of drinking water biofiltration systems is commonly measured by the effluent water quality and filter runtime (FRT). At constant flow rates, lower FRTs increase backwashing frequencies and thus lower water recovery and increase the water production cost. This study was conducted on a pilot scale in two parallel trains; one included sedimentation and one did not. Both trains have three matched filter columns. Sedimentation improved FRT by up to 30% and reduced head loss and head loss accumulation rate up to 29% and 35%, respectively. Natural organic matter removal remained unchanged. Adenosine triphosphate levels did not differ, while extracellular polymeric substance was reduced by 36%. In conclusion, sedimentation increased long‐term stability and reliability while reducing the backwash frequency, offering a robust approach for optimizing biofiltration performance. Potential operating cost savings have to be weighed versus the capital costs of retrofitting sedimentation in future studies.
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 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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 it