Landslide-Induced Wave Run-Up Prediction Based on Large-Scale Geotechnical Experiment: A Case Study of Wangjiashan Landslide Area of Baihetan Reservoir, China
Bibliographic record
Abstract
When a landslide mass enters a water body, it generates waves that propagate along the river channel, climb up upon reaching the riverbank, and impact nearby residential areas. To investigate the characteristics of wave run-up on a three-dimensional terrain, this study established a large-scale 3D physical model with a scale of 1:150 (dimensions: 64 m × 40 m × 3 m) based on the geological features of a specific amphibious landslide. The results show that the landslide-induced waves can partially inundate nearby residential areas. The unique terrain formed by the combination of residential areas and the southern riverbank amplifies the wave run-up height. A predictive formula was used to estimate the wave run-up height during wave convergence. This study provides valuable insights for predicting wave run-up heights in three-dimensional terrains. Considering the influence of different water levels on wave run-up, the study can be used to optimize water level regulation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".