Modeling Study of ozone formation/distribution in the southern Iran
Bibliographic record
Abstract
High ozone levels were observed in Southern Iran, Over BandarAbbas coastal area and Persian Gulf, in the summer of 2007 and 2008. Comprehension of the chemistry of the air mass is important in order to develop the most effective ozone abatement strategies. Modeling is a powerful tool to access chemical special with high temporal and space resolution. This study was done using the MM5/SMOKE/CMAQ regional air quality modeling system, together with observational data from satellite measurements over the modeling domain. By validating and improving of simulations based on Taylor’s diagram, some scenarios were developed to model the ozone background concentration and understand the sensitivity of ozone to NOx (NOx=NO+NO2) and VOC (volatile organic compounds). Results from an arbitrary reduction of thermal power plants and petrol refineries will be discussed, due to NOx and VOC species in these point source emission inventories. The ozone production rate was extracted from the model and mapped for June 2001 because of a strong interest in determining regions contributing to ozone production and consumption.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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; a candidate call from one teacher head, 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".