Mapping of Alpha-Emitting Radionuclides in the Environment Using an Unmanned Aircraft System

Pablo Royo; Arturo Vargas; Tania Guillot; David Saiz; Jonathan Pichel; Daniel Rabago; María Amor Duch; Claudia Grossi; Maksym Luchkov; Volker Dangendorf; Faton Krasniqi

doi:10.20944/preprints202310.1698.v2

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preprints.org > environmental and earth sciences > remote sensing > doi: 10.20944/preprints202310.1698.v2

Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Mapping of Alpha-Emitting Radionuclides in the Environment Using an Unmanned Aircraft System

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Version 1 : Received: 25 October 2023 / Approved: 25 October 2023 / Online: 26 October 2023 (14:53:52 CEST)
Version 2 : Received: 20 December 2023 / Approved: 21 December 2023 / Online: 21 December 2023 (16:02:51 CET)

A peer-reviewed article of this Preprint also exists.

Royo, P.; Vargas, A.; Guillot, T.; Saiz, D.; Pichel, J.; Rábago, D.; Duch, M.A.; Grossi, C.; Luchkov, M.; Dangendorf, V.; et al. The Mapping of Alpha-Emitting Radionuclides in the Environment Using an Unmanned Aircraft System. Remote Sensing 2024, 16, 848, doi:10.3390/rs16050848. Royo, P.; Vargas, A.; Guillot, T.; Saiz, D.; Pichel, J.; Rábago, D.; Duch, M.A.; Grossi, C.; Luchkov, M.; Dangendorf, V.; et al. The Mapping of Alpha-Emitting Radionuclides in the Environment Using an Unmanned Aircraft System. Remote Sensing 2024, 16, 848, doi:10.3390/rs16050848.

Abstract

The protection of first responders from radioactive contamination of alpha emitters that may result from a radiological accident is of great complexity due to the short range of the alpha particle in air of a few cm. To overcome this issue, for the first time a system for near real-time measuring alpha particles remotely mounted on a UAS has been developed, tested and calibrated. The new system, based on an optical system adapted to be installed on the UAS in order to measure the UV-C fluorescent emitting by the alpha particle in air, has been tested and calibrated carried out by laboratory and in field experiments using UV-C leds and ²⁴¹Am sources. In experimental flights, the probability of detecting a point source was determined to be approximately 60%. In case of a surface extended source, a detection efficiency per unit surface activity of ten counts per second per MBq cm^-2 are calculated. A background count rate of UV-C around 26 ± 28 s^-1 for an integration time of 0.1 s was measured during flights, which leads to a decision threshold surface activity of 5 MBq cm^-2.

Keywords

radiological detection; alpha-emitting radionuclides; UAS software architecture; UAS

Subject

Environmental and Earth Sciences, Remote Sensing

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (1)

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Received: 21 December 2023
Commenter: Pablo Royo Chic
Commenter's Conflict of Interests: Author

Comment: Improvements to the manuscript.

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