Impact of Debris and Non-Debris Flow in Flood Damage at River Confluence, Case Study of Miu-Tuva River Confluence
Bibliographic record
Abstract
Hydrodynamic flow is the flow and its properties that move in a natural or artificial condition. While in natural conditions, the flow event that often occurs in the flow of water by carrying material particles with various gradation sourced from the catchment area. The large concentration of material in a body of water will influence the shape of the river’s cross section for a certain period of time until it reaches an equilibrium condition. The purpose of this paper is to determine the hydrodynamic pattern that occurs at the confluence of the Miu River and Tuva River which is caused by fluid flow in non-debris (Newtonian) and debris flows (Non-Newtonian) so that control of the destructive power of water in the river can be optimized. The velocity of non-newtonian flow (debris) is lower than that of newtonian flow (water) because the viscosity of non-newtonian flow (debris) is higher than that of newtonian flow. On the other side, with the incoming discharge flow from the tributary, the velocity at the river cross section tends to increase on the far side of the direction of the incoming tributary flow.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".