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Probabilistic accident consequence uncertainty analysis. Dispersion and deposition uncertainty assessment. Vol.1. Main report (NUREG/CR-6244) (1995)

AuthorUS NRC, CEC
Date1995
Classification 6.01.3.70/54 (NUCLEAR SAFETY - RISK ANALYSES / RISK PERCEPTION)
Front

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Executive Summary

Introduction

The US Nuclear Regulatory Commission (NRC) and the Commission of the European 
Communities (CEC) have co-sponsored an uncertainty analysis of their respective
probabilistic consequence codes, MACCS and COSYMA. Although uncertainty analyses 
have been performed for the predecessors of MACCS and COSYMA, the distributions 
for the input variables were largely developed by the code developers rather than the 
experts involved in the numerous phenomenological areas of a consequence analysis. 
In addition, both organizations were aware of the key role of uncertainty in decisions 
involving the prioritization of activities and research, and they were interested in 
initiating a comprehensive assessment of the uncertainty in consequence calculations 
used for risk assessments and regulatory purposes.
Therefore, the ultimate objective of the NRC/CEC joint effort is to systematically 
develop credible and traceable uncertainty distributions for the respective code 
input variables using a formal expert judgment elicitation process. Expert judgment 
techniques are to be used only for the most important code input parameters in terms 
of contribution to the uncertainty in code predictions. Less resource intensive methods 
will be used for the development of uncertainty distributions for the remainder of the 
code input parameters. Each organization will then propagate and quantify the 
uncertainty in the predictions produced by their respective codes. Because of the 
magnitude and expense required to complete a full-scale consequence uncertainty 
analysis, a trial study was performed to evaluate the feasibility of such a joint study 
by initially limiting efforts to the dispersion and deposition code input variables. 
The specific goals of the trial study were as follows: (l) to develop a library of 
uncertainty distributions in the areas of radionuclide dispersion and deposition by 
using a formal expert judgment elicitation process; (2) to determine whether the 
technology exists for the development of credible uncertainty distributions on the 
input variables of MACCS and COSYMA; (3) to evaluate the ability of teams from 
the CEC and NRC to work together effectively. This report will focus on the 
methods used in and results of this trial study.

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