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A prioritization and analysis strategy for environmental surveillance results
Health Physics
|November 5, 1997
Summary
Environmental surveillance data analysis strategies prioritize sampling needs for Department of Energy (DOE) facilities. This approach optimizes resource allocation for radiological and metal monitoring, ensuring public and environmental safety within budget constraints.
Area of Science:
- Environmental Science
- Risk Management
- Data Analysis
Background:
- Department of Energy (DOE) facilities require environmental surveillance to ensure operations remain within approved risk levels.
- Budgetary constraints necessitate efficient strategies for analyzing environmental surveillance data.
Purpose of the Study:
- To develop and demonstrate a strategy for analyzing environmental surveillance data to prioritize sampling needs.
- To optimize resource allocation for environmental monitoring at DOE facilities.
Main Methods:
- Utilized radiological and metal data from Sandia National Laboratories, New Mexico.
- Developed a custom-designed computer tool for automated data management, analysis, prioritization, and presentation.
- Prioritized sampling locations for further investigation and routine sampling needs.
Main Results:
- Successfully demonstrated an analysis strategy for prioritizing environmental sampling.
- Identified key sampling locations for focused investigation and routine monitoring.
- Automated data processing enables efficient analysis of historical data for decision-making.
Conclusions:
- The developed strategy effectively prioritizes sampling needs for environmental surveillance under reduced budgets.
- Automated data analysis and presentation facilitate informed decision-making for DOE facility operations.
- This approach ensures continued verification of operational safety and environmental protection.
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