JOURNAL ARTICLE

Assessing the radiation contamination of large areas using advanced technologies.

  • Published In: Radiation Protection Dosimetry, 2023, v. 199, n. 8/9. P. 915 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Petrányi, János; Zsitnyányi, Attila; Jónás, Jácint; Garai, Zoltán; Kátai-Urbán, Lajos; Vass, Gyula 3 of 3

Abstract

The article focuses on the development and validation of a new method for radiological surveys of large areas using a 2 × 2" sodium iodide (NaI(Tl)) scintillation detector combined with a Bayesian-based isotope identification algorithm. This approach enables rapid, on-site gamma radiation measurements and isotope identification with short measurement times, supported by data storage in the standard N42 format for easy sharing. The method was demonstrated in a 50,000 m² survey of a former fertilizer factory site in Hungary, where natural occurring radioactive materials (NORM) were identified without artificial contamination. Field measurements showed strong correlation with laboratory analyses, confirming the method’s accuracy and efficiency while reducing personnel and costs. Future plans include system upgrades for improved detection limits, environmental corrections, and integration with drone technology for enhanced airborne radiation monitoring.

Additional Information

  • Source:Radiation Protection Dosimetry. 2023/06, Vol. 199, Issue 8/9, p915
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:01448420
  • DOI:10.1093/rpd/ncad092
  • Accession Number:164066572
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