Selecting features from spatial data for use in stochastic simulation
- Sandia National Labs., Albuquerque, NM (United States)
- Univ. of Nebraska, Lincoln, NE (United States)
An assessment of the long term containment capabilities of a possible nuclear waste disposal site requires both an understanding of the hydrogeology of the region under consideration and an assessment of the uncertainties associated with this understanding. Stochastic simulation - the generation of random {open_quotes}realizations{close_quotes} of the regions hydrogeology, consistent with the available information, provides a way to incorporate various types of uncertainty into a prediction of a complex system response such as site containment capability. One statistical problem in stochastic simulation is: What features of the data should be {open_quotes}mimicked{close_quotes} in the realizations? The answer can depend on the application. A discussion is provided of some of the more common data features used in recent applications. These features include spatial covariance functions and measures of the connectivity of extreme values, as examples. Trends and new directions in this area are summarized including a brief description of some statistics (the features) presently in experimental stages.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 10176183
- Report Number(s):
- SAND--94-2051C; CONF-940748--81; ON: DE94017343
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
99 GENERAL AND MISCELLANEOUS
990200
FLOW MODELS
FLUID FLOW
GROUND WATER
HYDRODYNAMICS
MATHEMATICS AND COMPUTERS
NUMERICAL ANALYSIS
RADIOACTIVE WASTE DISPOSAL
SITE CHARACTERIZATION
STOCHASTIC PROCESSES
WASTE DISPOSAL AND STORAGE