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Record W2373680198

The Relational Research and Experience of Water Transfer during Freezing Period

2006· article· en· W2373680198 on OpenAlexaboutno aff
Kai Wang

Bibliographic record

VenueSouth-to-north Water Transfers and Water Science & Technology · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWater transferFlood mythClear iceEnvironmental scienceHydrology (agriculture)ClimatologyGeologySea iceAntarctic sea iceCryosphereGeographyWater resource managementGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.215
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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