Academic Journal
Radon progeny monitoring outdoors using multiple NaI detectors.
| Τίτλος: | Radon progeny monitoring outdoors using multiple NaI detectors. |
|---|---|
| Συγγραφείς: | Kanoutos K; Nuclear Engineering Laboratory, National Technical University of Athens, Athens, 15780, Greece. Electronic address: kkanoutos@mail.ntua.gr., Petropoulos NP; Nuclear Engineering Laboratory, National Technical University of Athens, Athens, 15780, Greece., Anagnostakis MJ; Nuclear Engineering Laboratory, National Technical University of Athens, Athens, 15780, Greece. |
| Πηγή: | Journal of environmental radioactivity [J Environ Radioact] 2026 Aug; Vol. 298, pp. 108099. Date of Electronic Publication: 2026 Jul 06. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 8508119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1700 (Electronic) Linking ISSN: 0265931X NLM ISO Abbreviation: J Environ Radioact Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Barking, Essex : Elsevier Applied Science Publishers |
| Ιατρικοί όροι (MeSH): | Radiation Monitoring*/methods , Radiation Monitoring*/instrumentation , Air Pollutants, Radioactive*/analysis , Radon Daughters*/analysis , Radon*/analysis, Sodium Iodide/chemistry |
| Περίληψη: | Radon progeny may be used as tracers of environmental processes. In this work, a methodology involving two NaI(Tl) detector systems for the continuous monitoring of short-lived γ-emitting radon progeny activity in atmospheric air is presented. The primary detector focuses on the γ-rays of radon progeny accumulated on an air filter during aerosol sampling, while the secondary detector monitors changes in the γ-background of the measurement site. The methodology yields measurements regarding the 214Pb and 214Bi atmospheric activity variability at regular and short intervals. Efficiency calibration of the measurement set-up allows for activity concentration estimations. Changes in the correlation between total γ-measurements recorded from the two detectors indicate events such as precipitation impulses, difficult to be otherwise identified, that lead to intense radionuclide deposition. Moreover, total -γ deposition modeling along with machine learning can be used to predict the γ-activity in air during intense scavenging events. (Copyright © 2026 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Environmental monitoring; Gamma spectroscopy; NaI; Radon progeny |
| Substance Nomenclature: | 0 (Air Pollutants, Radioactive) 0 (Radon Daughters) F5WR8N145C (Sodium Iodide) Q74S4N8N1G (Radon) |
| Entry Date(s): | Date Created: 20260706 Date Completed: 20260806 Latest Revision: 20260806 |
| Update Code: | 20260807 |
| DOI: | 10.1016/j.jenvrad.2026.108099 |
| PMID: | 42407301 |
| Βάση Δεδομένων: | MEDLINE |
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