Object reasoning for waste remediation
A large number of contaminated waste sites across the United States await size remediation efforts. These sites can be physically complex, composed of multiple, possibly interacting, contaminants distributed throughout one or more media. The Remedial Action Assessment System (RAAS) is being designed and developed to support decisions concerning the selection of remediation alternatives. The goal of this system is to broaden the consideration of remediation alternatives, while reducing the time and cost of making these considerations. The Remedial Action Assessment System is a hybrid system, designed and constructed using object-oriented, knowledge- based systems, and structured programming techniques. RAAS uses a combination of quantitative and qualitative reasoning to consider and suggest remediation alternatives. The reasoning process that drives this application is centered around an object-oriented organization of remediation technology information. This paper describes the information structure and organization used to support this reasoning process. In addition, the paper describes the level of detail of the technology related information used in RAAS, discusses required assumptions and procedural implications of these assumptions, and provides rationale for structuring RAAS in this manner. 3 refs., 3 figs.
- Research Organization:
- Pacific Northwest Lab., Richland, WA (United States)
- Sponsoring Organization:
- DOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830
- OSTI ID:
- 5429271
- Report Number(s):
- PNL-SA-19490; CONF-910852--12; ON: DE91017842
- Country of Publication:
- United States
- Language:
- English
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Remedial action assessment system: Decision support for environmental cleanup
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Related Subjects
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
99 GENERAL AND MISCELLANEOUS
990100 -- Management
APPROPRIATE TECHNOLOGY
CONTAMINATION
DECISION MAKING
DIAGRAMS
FLOWSHEETS
GLOBAL ASPECTS
HAZARDOUS MATERIALS
MANAGEMENT
MATERIALS
MATHEMATICS
NUMERICAL ANALYSIS
REMEDIAL ACTION
SITE CHARACTERIZATION
WASTE DISPOSAL
WASTE MANAGEMENT