Assessing the Impact of Aviation Emissions on Air Quality at a Regional Greek Airport Using Machine Learning

Toxics, Год журнала: 2025, Номер 13(3), С. 217 - 217

Опубликована: Март 16, 2025

Aviation emissions significantly impact air quality, contributing to environmental degradation and public health risks. This study aims assess the of aviation-related on quality at Alexandroupolis Regional Airport, Greece, evaluate role meteorological factors in pollution dispersion. Using machine learning models, we analyzed data, including CO2, NOx, CO, HC, SOx, PM2.5, fuel consumption, parameters from 2019–2020. Results indicate that NOx CO2 showed highest correlation with traffic volume consumption (R = 0.63 0.67, respectively). Bayesian Linear Regression emerged as most accurate achieving an R2 value 0.96 0.97, respectively, for predicting PM2.5 concentrations. Meteorological had a moderate influence, precipitation negatively correlated (−0.03), while temperature wind speed limited effects emissions. A significant decline aviation was observed 2020, decreasing by 28.1%, 26.5%, 35.4% compared 2019, reflecting COVID-19 travel restrictions. Carbon dioxide extensive percentage distribution, accounting 75.5% total emissions, followed fuels, which accounted 24%, remaining pollutants, such more minor impacts. These findings highlight need optimized management regional airports, integrating predictive monitoring supporting policy interventions mitigate pollution.

Язык: Английский

Ferrocene-derived magnetic fiber-particles from diesel exhaust: enhanced pulmonary toxicity via Bach1-SAT1-polyamine depletion

Journal of Nanobiotechnology, Год журнала: 2025, Номер 23(1)

Опубликована: Апрель 29, 2025

Язык: Английский