Air Quality and Bioclimatic Conditions in the Touristic City Centre of Rhodes from June to November 2022
Bibliographic record
Abstract
The air quality is considered a hot-issue for the scientific community because it is responsible for health problems and premature deaths.Additionally, the discomfort sense of population due to the alternation of climate conditions is of great importance as it increases the health risk for people.This study investigates the air quality and bioclimatic conditions in the centre of Rhodes city in the south-eastern Mediterranean during the period from 9 th June to 14 th November 2022.For the analysis, timeseries of the recordings from a mobile air quality monitoring system are used.In order to investigate the air quality and the variation of pollution levels, the concentration of pollutants CO, NO, NO2, PM10, SO2 and sound are analyzed.Additionally, the discomfort index (DI) and the wet bulb globe temperature (WGBT) are calculated to study the discomfort sense and heat stress for the people in Rhodes city.The positive correlation among the concentration of pollutants and the bioclimatic indices provide an evidence that the air quality degradation and the increased values of bioclimatic indices possibly increase human health risk.Results show that the period with higher tourist activities presents an increase of the concentration of PM10 and a downgrade of the climatic sense of population.However, these findings do not show exceedances regarding the danger limits for people's health.Moreover, the strong wind speed during summer of 2022 possibly increases the dispersion of pollutants.Finally, this study emphasizes the improvement of knowledge regarding the air quality and human discomfort sense in the tourist region of Rhodes contributing to the formation of the green strategic plan over the south-eastern Aegean Sea.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".