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- Title
A new probabilistic analysis of air quality with risk graphs: an application in Istanbul.
- Authors
Birpınar, M. E.; Kızılöz, B.; Gazioğlu, Ş. A.; Şişman, E.
- Abstract
In this study, spatio-temporal identification has been analyzed using new probabilistic risk graphs for air quality assessments in Istanbul, Türkiye, for the first time. Detailed assessments can be conducted through the proposed method, which is based on probabilistic models. These models contribute to the objective explanation of variations in air quality. Air quality and its fluctuations have been elucidated using risk graphs across various districts in Istanbul. According to the model results, the air quality at Mecidiyeköy and Göztepe is worse than in the other districts. Conversely, Şile and Sultanbeyli on the Asian side, as well as Sarıyer and Maslak on the European side, exhibit the best air quality in terms of particulate matter (PM10) and NO2 model results. The proposed methodology provides air quality levels at different risk levels, enabling the tracking of temporal variations in air pollution risks.
- Subjects
ISTANBUL (Turkey); AIR analysis; PARTICULATE matter; AIR quality; AIR pollution; TRACKING algorithms
- Publication
International Journal of Environmental Science & Technology (IJEST), 2024, Vol 21, Issue 11, p7509
- ISSN
1735-1472
- Publication type
Article
- DOI
10.1007/s13762-024-05500-3