This study assessed air quality in a semi-enclosed train station using both personal and fixed monitoring and applied eXtreme Gradient Boosting (XGBoost) modelling to identify key factors influencing pollutant levels. The investigation also examined the effects of train idling time and engine speed on fuel consumption and pollutant emissions. Personal monitoring showed the average PM2.5 concentrations of 17-137 μg/m3 during active train operations, with higher le
Analysing the impact of diesel trains on air quality in a semi-enclosed railway station through mixed monitoring methods and XGBoost modelling
Shanmuga Priyan·John Gallagher·Muireann Kearney·Madhavan Vasudevan·Margaret O’Mahony·Neha Jacob·Brian Caulfield·Brian Broderick·Yuxuan Guo·Aonghus McNabola
