Establishment of Environmental Flow in a Physically Obstructed Tidal River
Bibliographic record
Abstract
The River Bakkhali is a major tidal river in Bangladesh. The estuarine zone related to this river is a suitable breeding zone for aquatic flora and fauna. The irrigation method used in Bakkhali rubber dam is flooding and wild flooding that cause a water loss of about 50 to 60 percent. However, through farmers training and demonstration on "On Farm Water Management" technology, 40 percent of applied water can be saved. Depending on the species abundance and their migration pattern in the Bakkhali River as well as concerning the seasonality of dam operation, the giant fresh water prawn (Macrobrachium rosenbergii, or known as `golda' fish in Bangladesh) has been taken as an indicator species in this study. This paper proposes the construction of a bypass channel that may provide 2.19 m3/sec flows during dry season to ensure the environmental flow. Also, the use of a one-way foot valve has been proposed to resist saline water intrusion.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".