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Parameter estimation techniques and uncertainty in ground water flow model predictions

Conference ·
OSTI ID:6323972
 [1];  [2]
  1. GRAM, Inc., Albuquerque, NM (USA)
  2. Sandia National Labs., Albuquerque, NM (USA)
Quantification of uncertainty in predictions of nuclear waste repository performance is a requirement of Nuclear Regulatory Commission regulations governing the licensing of proposed geologic repositories for high-level radioactive waste disposal. One of the major uncertainties in these predictions is in estimating the ground-water travel time of radionuclides migrating from the repository to the accessible environment. The cause of much of this uncertainty has been attributed to a lack of knowledge about the hydrogeologic properties that control the movement of radionuclides through the aquifers. A major reason for this lack of knowledge is the paucity of data that is typically available for characterizing complex ground-water flow systems. Because of this, considerable effort has been put into developing parameter estimation techniques that infer property values in regions where no measurements exist. Currently, no single technique has been shown to be superior or even consistently conservative with respect to predictions of ground-water travel time. This work was undertaken to compare a number of parameter estimation techniques and to evaluate how differences in the parameter estimates and the estimation errors are reflected in the behavior of the flow model predictions. That is, we wished to determine to what degree uncertainties in flow model predictions may be affected simply by the choice of parameter estimation technique used. 3 refs., 2 figs.
Research Organization:
Sandia National Labs., Albuquerque, NM (USA)
Sponsoring Organization:
DOE/RW
DOE Contract Number:
AC04-76DP00789
OSTI ID:
6323972
Report Number(s):
SAND-90-1056C; CONF-910213--10; ON: DE91000405
Country of Publication:
United States
Language:
English