Soil sampling plan design of key facilities for denuclearization based on data quality objective process
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The possibility of denuclearization of the Korean Peninsula has been continuously debated, and the initiative participation of the Republic of Korea has necessitated preemptive measures against neighboring countries. In this study, we present a proposal for formulating a site survey plan when the amount of site information provided is insufficient and the accuracy of the information is not guaranteed. Considering a case wherein “a soil sample analysis is used to determine the presence or absence of nuclear activity” in a radiochemical laboratory, which is a typical key facility for denuclearization, the optimal soil sample collection plan is designed based on international guidelines and public information. In the event of denuclearization, a scenario that is not based on the expertise of the sample collector is set, and the data quality objective (DQO) process is applied to ensure reality. Consequently, the primary sample collection points can be derived in consideration of accessibility, and the sample collection scale can be adjusted according to the cost. By applying the DQO process to ensure sample representativeness and reality, reliable and resource-efficient soil sample collection can be achieved in radiochemical laboratories and other denuclearization facilities
Abstract
The possibility of denuclearization of the Korean Peninsula has been continuously debated, and the initiative participation of the Republic of Korea has necessitated preemptive measures against neighboring countries. In this study, we present a proposal for formulating a site survey plan when the amount of site information provided is insufficient and the accuracy of the information is not guaranteed. Considering a case wherein “a soil sample analysis is used to determine the presence or absence of nuclear activity” in a radiochemical laboratory, which is a typical key facility for denuclearization, the optimal soil sample collection plan is designed based on international guidelines and public information. In the event of denuclearization, a scenario that is not based on the expertise of the sample collector is set, and the data quality objective (DQO) process is applied to ensure reality. Consequently, the primary sample collection points can be derived in consideration of accessibility, and the sample collection scale can be adjusted according to the cost. By applying the DQO process to ensure sample representativeness and reality, reliable and resource-efficient soil sample collection can be achieved in radiochemical laboratories and other denuclearization facilities
참고문헌 (12)
- 문주현, "북핵 프로그램의 성공적 검증·폐기를 위한 고려사항", Journal of Nuclear Fuel Cycle and Waste Technology, 7(3), pp.143~151 (2009), 한국방사성폐기물학회
- Case Studies of International Denuclearization and Implications for Denuclearization in the D.P.R.K, "Y.H. Park", Academic Cooperation Foundation Kyung Hee University, ~, pp.NSTAR-19PS61-177 (2019)
- "North Korea's Yongbyon Nuclear Scientific Research Center" (2021)[URL]
- United States environmental protection Agengy, "Guid. Syst. Plan, Using Data Qual. Objectives Process, 2006. EPA QA", G-, 2006
- American National Standard Institute, "Characterization in Support of Decommissioning Using the Data Quality Objectives Process", American National Standards Institute, 2008
- B. D. Vivo, "Environmental Geochemistry-Site Characterization, Data Analysis and Case Histories" (2018), Elsevier
- "38North"[URL]
- Review of domestic and foreign technical standard and research trends for the establishment of soil sampling procedure for safeguards inspection, "G. Y. Lee", Korea Inst. Nucl. Nonproliferation Control, ~, pp.NSTAR-19PS51-169 (2019)
- International Atomic Energy Agency, "Nuclear Forensics in Support of Investigations", Nuclear Security Series No. 2-G (Rev.1), ~ (2015)
- B.D. Matzke, "Visual Sample Plan Version 7.0 User's Guide", Pacific Northwest National Laboratory, ~ (2014)
- Visual Sample Plan (VSP) Models and Code Verification, "R.O. Gilbert", Pacific Northwest National Laboratory, ~, pp.PNNL-13450 (2001)
- R. O. Gilbert, "Statistical Methods for Environmental Pollution Monitoring, Van Nostrand Reinhold" (1987), Wiley & Sons