Analysis on Temporal and Spatial Changes of SO_2/NO_x in Xi'an City During 1991-2002
Bibliographic record
Abstract
According to monitored data of SO_2 and NO_x in Xi'an City during 1991-2002,the space-time variation was analyzed.The results were follow: ① Within a year the curve of concentration change of SO_2and NO_x form a U figure.In winter from January to February and from November to December the concentration were higher,while in the summery from April to May the concentration were relatively lower,and it had higher relativity with change of average air temperature;② The quarter concentration of so_2and NO_X declined obviously in recent 12 years,it contribute to project of coal being changed into gas from 1999.And the trend answered for environment Kuznets curve;③ There was a obvious rule about district change of SO_2and NO_x in recent 6 years.That was concentration of SO_2and NO_x declined gradually in industrial estate,while in shopping center and habitation area it was higher than in industrial estate.it showed that there were differences in regulating domain configuration,changing energy sources configuration,tempo of areas.
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 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 | 0.002 |
| 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".