Impact of Annual Maximum Wind Speed in Mixed Wind Climates on Wind Hazard for Mainland China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 it