Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece
Abstract
:1. Introduction
2. Research in Context
Evidence before This Study
3. Materials and Methods
3.1. Area of Interest
3.2. Air Pollution Data and Social Economic Population Status
3.3. Global Burden of Diseases 2019 Study
4. Results
4.1. Variation of Monthly and 24 h Ozone Concentrations
4.2. Mortality and DALYs Due to O3: An Analysis from the Global Burden of Disease Study 2019
4.3. Socioeconomic Conditions in Greece during the Period 1990–2019
5. Conclusions
- O3 monthly concentrations exhibit seasonality at all stations with highest values to be recorded during summer when photochemical cloud episodes are frequent.
- The area’s topography and meteorological conditions, such as wind direction, speed, and intensity of sunshine, significantly affect the formation and dispersion of O3. So Higher monthly concentrations are shown at the suburban background concentrations (especially at Thrakomakedones).
- A typical daily pattern appears with the lowest values early in the morning (at 08:00 LT). Since ground-level ozone is a secondary pollutant, its formation is highly related to sunlight and complex, anthropogenically influenced processes. Emissions of nitrogen oxides (NOx) and volatile organic compounds (VOCs) from human activities lead to the production of ozone, having a peak from 14:00 LT to 16:00 LT. The duration as well as the extent of the peaked concentrations differ from station to station. At the suburban background stations concentrations remain increased for a longer period, ranging from 60 μg/m3 to 100 μg/m3 for about 20 h while at the urban background stations the curve of peak values (above 60 μg/m3) lasts for about 10 h.
- Τhe impact of ozone on the lives of residents is significant, as it limits their daily activities and causes respiratory symptoms and coughing. People over 55 years old are mostly affected by poor air quality due to ozone exceedances. Concerning all age groups, the maximum number of DALYs is 80 per 100,000, while for the over-55 ages, the maximum number of DALYs is 251 per 100,000, which is much higher.
- The link between the economic crisis and the quality of health care is illustrated by studying the relation between deaths and DALYs, as well as the unemployment rates and GDP annual variation.
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Paper-References | Data Source | O3 * (μg/m3) | Time Period of Study | |
---|---|---|---|---|
1. | Butkovi et al. (1990) [34] | D-B | 58–120 | 1984 |
2. | Ziomas et al. (1998) [19] | M-T | 100 | 1994 |
3. | Varotsos et al. (2001) [35] | NAO | 55–94 | 1901–1940/ 1987–1998 |
4. | Viras (2002) [23] | HMEEC | 55–79 | 1995–1999 |
5. | Saitanis et al. (2003) [27] | AIA, HMEEC | 147 | 2000 |
6. | Kassomenos et al. (2008) [21] | HMEEC | 103 | 1992–2000 |
7. | Paschalidou et al. (2008) [26] | HMEEC | 40–100 | 2001–2004 |
8. | Mavrakis et al. (2009) [25] | HMEE, GERPPE | 90–100 | 2003 |
9. | Paschalidou et al. (2009) [28] | NOA, HMEEC | 100 | 1994–2004 |
10. | Poupkou et al. (2009) [29] | UAM-V, HMEEC | 120 | 2000 |
11. | Kassomenos et al. (2011) [30] | HMEEC | 103 | 1992–2000 |
12. | Moustis et al. (2012) [22] | HMEEC | 89–105 | 2001–2005 |
13. | Mavroidis et al. (2012) [32] | HMEEC | 78–100 | 1984–2009 |
14. | Dimitriou et al. (2015) [20] | EEA, NAO | 87 | 2009–2011 |
15. | Stergiopoulou et al. (2018) [33] | HMEEC | 57–83 | 2013–2014 |
15. | Dimakopoulou et al. (2020) [24] | HMEEC | 83–94 | 2001–2014 |
16. | Dimitriou et al. (2020) [31] | NOA, HMEEC | 63–65 | 2014–2018 |
Name | Abbr. | Site Type | Longitude | Latitude | Altitude (m) | Population | |
---|---|---|---|---|---|---|---|
1 | ATHINAS | ATH | UT | 23.726845 | 37.978204 | 75 | 664,000 |
2 | GEOPONIKI | GEO | SI | 23.705153 | 37.984100 | 40 | 664,000 |
3 | LYKOVRISI | LYK | SB | 23.788986 | 38.067793 | 234 | 10,000 |
4 | MAROUSI | MAR | UB | 23.787372 | 38.030837 | 170 | 73,000 |
5 | NEA SMYRNI | SMY | UB | 23.713020 | 37.931998 | 50 | 72,853 |
6 | PATISSION | PAT | UT | 23.733053 | 37.999587 | 105 | 664,000 |
7 | PIREAS | PIR | UT | 23.645230 | 37.944656 | 4 | 163,688 |
8 | PERISTERI | PER | UB | 23.688361 | 38.020811 | 80 | 133,630 |
9 | AGIA PARASKEYI | AGP | SB | 23.819421 | 37.995110 | 290 | 62,147 |
10 | LIOSIA | LIOS | SB | 23.697781 | 38.076741 | 165 | 33,565 |
11 | THRAKOMAKEDONES | THR | SB | 23.758195 | 38.143521 | 550 | 6200 |
12 | ELEYSINA | ELE | SI | 23.538432 | 38.051322 | 20 | 24,910 |
13 | KOROPI | KOR | SB | 23.879026 | 37.901308 | 140 | 19,164 |
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Ntourou, K.; Fameli, K.-M.; Moustris, K.; Manousakis, N.; Tsitsis, C. Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece. Atmosphere 2024, 15, 380. https://doi.org/10.3390/atmos15030380
Ntourou K, Fameli K-M, Moustris K, Manousakis N, Tsitsis C. Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece. Atmosphere. 2024; 15(3):380. https://doi.org/10.3390/atmos15030380
Chicago/Turabian StyleNtourou, Kleopatra, Kyriaki-Maria Fameli, Konstantinos Moustris, Nikolaos Manousakis, and Christos Tsitsis. 2024. "Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece" Atmosphere 15, no. 3: 380. https://doi.org/10.3390/atmos15030380
APA StyleNtourou, K., Fameli, K. -M., Moustris, K., Manousakis, N., & Tsitsis, C. (2024). Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece. Atmosphere, 15(3), 380. https://doi.org/10.3390/atmos15030380