Enhancing the Unit Stream Power Dissipation Equation for Unlined Spillways: Incorporating Geometrical Parameters and Surface Irregularities
Bibliographic record
Abstract
The unit stream power dissipation (USPD) equation is widely used to predict water flow characteristics over spillways. However, the current formulation of the USPD equation may not provide accurate predictions of the energy dissipation rates of water flowing over unlined spillways, particularly when geometrical parameters and surface irregularities are considered. To address this issue, we modify the USPD equation to improve its accuracy. We determine how geometrical parameters and surface irregularities affect the accuracy of the USPD when applied to unlined spillways. Our modifications to the USPD equation account for these factors and improve predictions of the energy dissipation rate of water flowing over unlined spillways. We demonstrate that incorporating geometrical parameters and surface irregularities into the USPD equation improves the accuracy of estimated energy dissipation rates. Improved prediction accuracy has important implications for spillway design and maintenance, favoring safer and more effective water management systems. Our study highlights the need to consider geometrical parameters and surface irregularities when estimating USPD in unlined spillways.
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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) | 0.000 | 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 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".