Improvement of Sediment-Water Quality by Resuspension
Bibliographic record
Abstract
Heavy eutrophication was found in a canal located in the central part of Fukuyama City, Japan due to a high organic content (30 percent loss on ignition). As a result, hydrogen sulfide production often occurred, mostly from spring to autumn. Therefore, Fukuyama City decided to investigate the possibility of cleaning up the bottom of the canal using a resuspension technique. The pilot test was evaluated for an area of 3000 m2. The amount of wet resuspended solids removed from the bottom of the water column was about 11 tonnes. The ORP of the surface sediments was initially -150 mV but increased to above +70 mV after redeposition. In comparison to the original sediments, quantitative analyses showed that full scale implementation would enable the removal of about 10 % of the resuspended solids, and reduce COD by 95 %, T-P by 50 %, T-N by 100 % and sulfide by 75 % for redeposited sediments.
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.
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 | 0.000 | 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) | 0.011 | 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 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".