Comparative Analysis of Probabilistic Analysis and Deterministic Analysis by RESRAD Code

Sang June Park, Jihyang Byon and Seokyoung Ahn
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Sang June Park: School of Mechanical Engineering, Pusan National University, Busan 46241, Korea
Jihyang Byon: School of Mechanical Engineering, Pusan National University, Busan 46241, Korea
Seokyoung Ahn: School of Mechanical Engineering, Pusan National University, Busan 46241, Korea

Energies, 2020, vol. 13, issue 8, 1-13

Abstract: The decommissioning of nuclear facilities indicates that the site is finally released according to a limited or unlimited site reuse purpose. In this process, the assessment of exposure dose to decommissioning workers and nearby residents is essential. Based on MARSSIM, a widely used decommissioning guideline in the United States, derivation of the exposure dose and derived concentration guideline level (DCGL) is mandatory using the probabilistic analysis of the RESRAD code. Here, DCGL is the radionuclide-specific concentration that satisfies the site release criteria. By applying the priority 1 parameter, which has the greatest effect on the dose, the dose is derived through deterministic and probabilistic analyses. The results were compared and analyzed. The purpose of this study was to provide a basic database that can be applied to the development of parameter lists and distributions suitable for the characteristics of nuclear facilities in South Korea. In addition, the process of deriving the dose by applying the deterministic and probabilistic analyses of RESRAD was assessed.

Keywords: deterministic analysis; dose assessment; probabilistic analysis; RESRAD (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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