The Relational Research and Experience of Water Transfer during Freezing Period
Bibliographic record
Abstract
The phenomenon that rivers freeze in high latitude and cold regions is universal. Ice dam, ice cover and ice jam, which are formed by stack, jammed and collective ice, can increase river resistance and water stage, resulting in flood, construction damage and navigation problems. In order to find out safe methods for water transfer during freezing period, studying the formation and development regularity of the river ice has been concerned on by many countries. Some researchers have made study on this subject, such as the generation and evolution of frazil ice, shore ice, bottom ice, ice cover and ice jam, the resistance of freeze-up river, flow capacity and variation of water stage. On the base of the river ice study, the former USSR, Canada, north Europe take some effective measures to transfer water safely on their water transfer projects, and these countries have accumulated a few valuable experience. Because of the complication in river ice study, the theory and project experience of this subject are not perfect, and need further research. This paper introduces the river ice study and project experience during freezing period mentioned above.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".