4. Discussion and conclusions
We aimed at quantifying the contribution of aircraft activities to PNC concentrations in a medium-sized airport. Substantial increases of PNC values in the few minutes after take-offs, especially downwind, with small differences between large and small vehicles were estimated. In contrast, landings displayed only a modest contribution to ground-level PNC observations. This work is part of the SERA project, a study aimed at assessing the health impact of noise and air pollution among people living nearby six Italian airports (Ancona et al., 2014; Ancona and Forastiere, 2014). Land use regression models allowed us to describe the spatial distribution of NO2, benzene, toluene and acrolein concentrations, showing that small-scale spatial gradients were affected by local traffic while only a small fraction of the spatial variability could be attributed to airport related emissions (Gaeta et al., 2016). Moreover, high temporally resolved PNC data combined with radar tracks enabled us to estimate the direct contribution of LTO operations on PNC values in nearby areas, a task otherwise impossible with hourly or daily averaging periods, since airport contributions might be masked in the complex mix of urban activity emissions (Di Menno di Bucchianico et al., 2014). These observations raised the need to design a further study where a more flexible approach, distributed-lag regression models, could provide a qualitative and quantitative estimation of the contribution of aircraft emissions to UFP concentrations near the Ciampino airport.