dc.contributor.author | Royo, Pablo | |
dc.contributor.author | Vargas, Arturo | |
dc.contributor.author | Guillot, Tania | |
dc.contributor.author | Saiz, David | |
dc.contributor.author | Pichel, Jonathan | |
dc.contributor.author | Rábago Gómez, Daniel | |
dc.contributor.author | Duch, María Amor | |
dc.contributor.author | Grossi, Claudia | |
dc.contributor.author | Luchkov, Maksym | |
dc.contributor.author | Dangendorf, Volker | |
dc.contributor.author | Krasniqi, Faton | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2025-03-19T16:27:31Z | |
dc.date.available | 2025-03-19T16:27:31Z | |
dc.date.issued | 2024 | |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://hdl.handle.net/10902/36056 | |
dc.description.abstract | The protection of first responders from radioactive contamination with alpha emitters that may result from a radiological accident is of great complexity due to the short range of alpha particles in the air of a few centimeters. To overcome this issue, for the first time, a system mounted on a UAS for the near-real-time remote measurement of alpha particles has been developed, tested, and calibrated. The new system, based on an optical system adapted to be installed on a UAS in order to measure the UV-C fluorescence emitted by alpha particles in the air, has been tested and calibrated, carried out in the 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 the case of a surface extended source, a detection efficiency per unit surface activity of 10 counts per second per MBq cm?2 was calculated. A background count rate of UV-C of around 26 ± 28 s1 for an integration time of 0.1 s was measured during flights, which led to a decision threshold surface activity of 5 MBq cm2 | es_ES |
dc.description.sponsorship | Funding: The project 19ENV02 RemoteALPHA has received funding from the European Metrology Programme for Innovation and Research (EMPIR), co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation program. Funder ID is:10.13039/100014132. | es_ES |
dc.format.extent | 23 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Copyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/es/ | * |
dc.source | Remote Sensing, 2024, 16(5), 848 | es_ES |
dc.subject.other | UAS | es_ES |
dc.subject.other | Radiological detection | es_ES |
dc.subject.other | Alpha-emitting radionuclides | es_ES |
dc.subject.other | UAS software architecture | es_ES |
dc.title | The mapping of alpha-emitting radionuclides in the environment using an unmanned aircraft system | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.3390/rs16050848 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/EMPIR/19ENV02/EU/Remote and real-time optical detection of alpha-emitting radionuclides in the environment/RemoteALPHA/ | |
dc.identifier.DOI | 10.3390/rs16050848 | |
dc.type.version | publishedVersion | es_ES |