The air quality in a touristic area of southeastern Mediterranean: Thecase of Chalki Island during a summer and autumn period of 2024
Bibliographic record
Abstract
Environmental sustainability is one of the Smart Specialization Strategy (S3) priorities for Greece.The relation between air pollution and human health consists a challenging issue regarding the green transition of Islandic place-based ecosystems of Mediterranean region.In this context, this work is a case study which investigates the air pollution and its impact on human health using recordings from a mobile air quality monitoring system (AQMS) which is located in the port of Chalki Island (in the southeastern Aegean basin), covering the period from 24 th July to 25 th November 2024.Hourly measurements of concentrations of pollutants (particulate matter with diameter less than equal 2.5 and 10 m, nitrogen dioxide and ozone) as well as meteorological factors (temperature and relative humidity) are analysed.The Air Quality Health Index (AQHI) and Discomfort Index (DI) are calculated as a measure of the impact of air pollution on human health and discomfort sense of population.The diurnal, daily and monthly mean variation of the concentration of pollutants, AQHI and DI are studied.Additionally, the possible relation between the air pollution and its impact on human health is investigated.Findings show lower concentrations of pollutants than the limits of Directive EU 2024/2881.AQHI mainly ranges between "good" and "moderate" classes.The maximum concentration of pollutants is shown during summer period where the tourist density is increased.Finally, the analysis highlights that the increased discomfort conditions (temperature and DI) and AQHI in summer period (as compared to the autumn) could have a negative synergy on human health and feeling.
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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".