Understanding the Mixing Pattern in an Anaerobic Expanded Granular Sludge Bed Reactor: Effect of Liquid Recirculation
Why this work is in the frame
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Bibliographic record
Abstract
An anaerobic expanded granular sludge bed (EGSB) reactor is considered to be an improvement over upflow anaerobic sludge blanket reactors owing to the former’s ability to recycle the effluent and its modified reactor geometry. However, the mixing pattern in EGSB reactors, which greatly influences the design and the performance of this reactor, has not yet been studied in detail. In this research, the mixing pattern in a lab-scale EGSB reactor treating a synthetic dye wastewater was studied using lithium chloride as a tracer. The tracer exit curve indicated a complete-mix behavior. A simulation study was conducted on identical reactors using conductivity probes, inserted through the sample ports along the height of the reactors and connected to a data acquisition system. The reactors were operated at three different hydraulic retention times (3.3, 5.5, and 9 h) and at four different upflow liquid velocities (1.10, 2.66, 5.33, and 8.68 m/h). The data showed the existence of a plug-flow regime in the basin at lower upflow liquid velocities although the tracer response curves resemble complete-mix behavior. With increasing upflow liquid velocity the flow pattern in the basin deviates from a plug-flow pattern and approaches a complete-mix condition. The EGSB reactor can be modeled as a plug-flow reactor with recycle and dead space, and with a large vessel dispersion number (D/uL>0.01) .
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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 | 0.000 | 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 | 0.000 |
| 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 it