The objective is to make monitoring systems applicable to aerospace technology through the study of innovative materials. In particular, prototypes of non-conventional sensors will be designed and developed for application on innovative flying structures, characterized by new shapes, dimensions, and especially materials.
The study will focus on detecting elements with the greatest societal impact, namely the main greenhouse gases carbon dioxide and methane (CO₂ and CH₄), nitrogen dioxide and sulfur dioxide (NO₂ and SO₂, harmful to human health and mainly derived from combustion), as well as solid particulate matter (PM10 and smaller). Measurements will be carried out using different sensors and technologies, which will be compared and, where possible, selected to ensure results comparable to standard measurement systems.
The analysis will also aim to identify the most appropriate methodologies to extrapolate “ground-level” measurements used by public authorities responsible for defining air quality. This will be achieved through a multiscale analysis performed with unmanned aerial vehicles (UAVs, commonly known as drones), capable of conducting two-dimensional measurements (i.e., horizontally distributed at a given altitude) or vertical stratigraphies of the air column

(CO2 e CH4), su biossido di azoto e solfati (NO2 e SO2, in quanto nocivi per la salute e derivante essenzialmente dalla combustione) e sul particolato solido (PM10 e minori). Le misure verranno eseguite con diversi sensori e tecnologie che saranno paragonati e, quando possibile, selezionati per assicurare misure comparabili ai sistemi standard di misura. L’analisi si svilupperà nell’individuare le metodologie più idonee a estrapolare le misure “a terra” utilizzate dagli enti pubblici preposti alla definizione della qualità dell’aria, effettuando un’analisi multiscala eseguita con “unmanned aerial vehicle” (UAV), comunemente chiamati droni, in grado di eseguire misure bidimensionali (cioè distribuite in orizzontale ad una determinata quota) o stratigrafie verticali della colonna d’aria.

The final part of the project will focus on defining models and algorithms capable of explaining the relationships between the various available data, ensuring their consistency regardless of the acquisition methods and scale.