Impact of Annual Maximum Wind Speed in Mixed Wind Climates on Wind Hazard for Mainland China
Bibliographic record
Abstract
The coastal region in mainland China is prone to typhoon winds. However, a systematic analysis of the annual maximum wind speed analysis for typhoon and nontyphoon winds (i.e., mixed wind climate) using the wind records has not been reported for the region. The wind hazard modeling and analysis for mainland China was carried out in the present study by using wind records from 839 meteorological stations and considering mixed wind climates. The identification of typhoon winds from wind records is based on historical typhoon tracks. Both the region of influence approach and the at-site approach were used to estimate the T-year return period value of the annual maximum wind speed, vT, according to the wind-producing mechanism. The estimated vT for typhoon and nontyphoon winds was used to identify regions where typhoon winds dominate the wind hazard. Wind maps for mainland China were developed by combining wind hazards determined from a typhoon wind hazard model and wind records from meteorological stations to estimate vT. A comparison of developed maps to that given in the Chinese structural design code is given.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".