Assessment of the Air-Quality Over Urban Areas by Means of Biometeorological Indices. The Case of Athens, Greece
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
This article deals with the part of air pollution, which has a particular relevance to the objective assessment of the quality of urban air. The correct understanding of the pollution levels over an urban region is of great importance to both authorized government services and to the community. This is particularly true for high polluted urban regions such as the Athens basin; so, it is important to recognize the levels of atmospheric quality by means of an easily understandable manner even for non-specialists. Thus, in this study an attempt is made for the application of two different groups of air quality indices (AQI) (statistical and biometeorological) by utilizing air pollutants measured into Athens basin, in a network of 17 measuring stations, during the period 2001-2002. The calculations of the (AQI) are referred to data of all 17 measuring stations and concern levels of air-pollution concentrations to both short (daily) and long time periods. Then comparisons were made between the obtained statistical and biometeorological indices in order to identify whether or not there is any existence of consistency between them. The compositions of the calculated indices were also determined, as well as, the most important air-pollutant for them. This procedure was applied for each day of the week in order to reveal the weekly cycle of indices and perhaps to isolate air-quality differences between weekdays and weekends. Finally, the varying forms of both frequency distributions are mainly caused by the impact related concentrations ranges of single air-pollutants which are typical of air-quality indices. Especially, PM10 and O3 seem to have a stronger influence on the determination of values of air quality indices.
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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 | 0.001 | 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it