Numerical analysis of hydraulic characteristics of resting pool in improved vertical slot fishway
Bibliographic record
Abstract
When fish swim upstream in the long-distance fishways, fatigue may occur, thereby affecting their passage efficiency and passage time. Therefore, constructing suitable resting pools within the fishway is essential. In this study, a diversion pile was introduced into the resting pool of the vertical solt fishway while altering its installation position. A three-dimensional re-normalization group k– ε turbulent mathematical model was then employed to analyze how the diversion pile with distinct positions affects the hydraulic characteristics in the resting pool under different slope conditions. The results show that with the diversion pile at the two-thirds position of the partition wall’s sidewall in the resting pool, the mainstream is effectively regulated to the central position, accompanied by a small degree of meandering. Under such an arrangement, although the diversion pile has an impact on the turbulent kinetic energy in the resting pool across various slope conditions, the influence is insignificant. Therefore, it is recommended to install the diversion pile at the two-thirds position of the partition wall’s sidewall in the resting pool, which can adjust the hydraulic characteristics of the resting pool and provide a large range of low-velocity areas for fish to rest, thereby facilitating the passage efficiency.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".