Skip to main content
UCP Knowledge NetworkApplied knowledge for action
Research papers_ KN icon

Enhancing Radiation Detection by Drones through Numerical Fluid Dynamics Simulations

Published on 23 May 2025
This study addresses the optimisation of the location of a radioactive-particle sensor on a drone, for a safer intervention of first responders.
Research papers

Enhancing Radiation Detection by Drones through Numerical Fluid Dynamics Simulations

(663.63 KB - PDF)
Download
Author details
Marturano, Fabio, 1; Ciparisse, Jean-François, 1,; Chierici, Andrea, 1,2; d’Errico, Francesco, 2; Di Giovanni, Daniele, 1; Fumian, Francesca, 1; Rossi, Riccardo, 1; Martellucci, Luca, 1;
Gaudio, Pasquale 1; Malizia, Andrea, 3.
1) Department of Industrial Engineering, University of Rome Tor Vergata, 00133 Rome, Italy;
2) Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
3) Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
Unique identifier
doi:10.3390/s20061770
Disclaimer
Information and views set out in this community page can also be those of the author and do not necessarily reflect the official opinion of the European Commission.

Hazard types

CBRNE Radiation

DRM Phases

Response

Geographic focus

all Europe/EU

Sectors

Anticipation and foresight