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dc.contributor.authorRoyo, Pablo
dc.contributor.authorVargas, Arturo
dc.contributor.authorGuillot, Tania
dc.contributor.authorSaiz, David
dc.contributor.authorPichel, Jonathan
dc.contributor.authorRábago Gómez, Daniel 
dc.contributor.authorDuch, María Amor
dc.contributor.authorGrossi, Claudia
dc.contributor.authorLuchkov, Maksym
dc.contributor.authorDangendorf, Volker
dc.contributor.authorKrasniqi, Faton
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-03-19T16:27:31Z
dc.date.available2025-03-19T16:27:31Z
dc.date.issued2024
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/10902/36056
dc.description.abstractThe 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 cm2es_ES
dc.description.sponsorshipFunding: 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.extent23 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsCopyright © 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.urihttp://creativecommons.org/licenses/by-nd/3.0/es/*
dc.sourceRemote Sensing, 2024, 16(5), 848es_ES
dc.subject.otherUASes_ES
dc.subject.otherRadiological detectiones_ES
dc.subject.otherAlpha-emitting radionuclideses_ES
dc.subject.otherUAS software architecturees_ES
dc.titleThe mapping of alpha-emitting radionuclides in the environment using an unmanned aircraft systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.3390/rs16050848es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/EMPIR/19ENV02/EU/Remote and real-time optical detection of alpha-emitting radionuclides in the environment/RemoteALPHA/
dc.identifier.DOI10.3390/rs16050848
dc.type.versionpublishedVersiones_ES


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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/)Excepto si se señala otra cosa, la licencia del ítem se describe como 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/)