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KMID : 0364920100350010006
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Journal of Radiation Protection and Research
2010 Volume.35 No. 1 p.6 ~ p.11
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AN INTEGRATED APPROACH TO RISK-BASED POST-CLOSURE SAFETY EVALUATION OF COMPLEX RADIATION EXPOSURE SITUATIONS IN RADIOACTIVE WASTE DISPOSAL
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Seo Eun-Jin
Jeong Chan-Woo
Sato Seichi
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Abstract
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Embodying the safety of radioactive waste disposal requires the relevant safety criteria and the corresponding stylized methods to demonstrate its compliance with the criteria. This paper proposes a conceptual model of risk-based safety evaluation for integrating complex potential radiation exposure situations in radioactive waste disposal. For demonstrating compliance with a risk constraint, the approach deals with important exposure scenarios from the viewpoint of the receptor to estimate the resulting risk. For respective exposure situations, it considers the occurrence probabilities of the relevant exposure scenarios as their probability of giving rise to doses to estimate the total risk to a representative person by aggregating the respective risks. In this model, an exposure scenario is simply constructed with three conents:radionuclide release, radionuclide migration and environment contamination, and interaction between the contaminated media and the receptor. A set of exposure scenarios and the representative person are established from reasonable combinations of the components, based on a balance of their occurrence probabilities and the consequences. In addition, the probability of an exposure scenario is estimated on the assumption that the initiating external factors influence release mechanisms and transport pathways, and its effect on the interaction between the environment and the receptor may be covered in terms of the representative person. This integrated approach enables a systematic risk assessment for complex exposure situations of radioactive waste disposal and facilitates the evaluation of compliance with risk constraints.
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KEYWORD
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Risk Assessment, Radioactive Waste Disposal, Exposure Scenarios, Dose-Likelihood Aggregation, Conceptual Model
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