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Related Experiment Videos

Total system performance assessment for waste disposal using a logic tree approach.

J H Kessler1, R K McGuire

  • 1Electric Power Research Institute, Palo Alto, California 94304-1395, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|April 15, 2000
PubMed
Summary

A probabilistic model using logic trees assesses the long-term performance of the Yucca Mountain radioactive waste disposal facility. It simulates container corrosion, waste mobilization, and groundwater transport to estimate radiation doses for hypothetical individuals.

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Area of Science:

  • Nuclear Engineering
  • Environmental Science
  • Geological Science

Background:

  • Assessing the long-term performance of radioactive waste disposal facilities is critical for public safety and environmental protection.
  • The Yucca Mountain site is a candidate for the disposal of spent nuclear fuel and high-level radioactive waste (HLW).
  • Long time frames and data uncertainties necessitate robust modeling approaches.

Purpose of the Study:

  • To develop and present a model for assessing the long-term performance of the Yucca Mountain HLW disposal facility.
  • To incorporate complex, coupled processes including container corrosion, waste mobilization, and groundwater transport.
  • To utilize a probabilistic approach to address uncertainties and variabilities inherent in long-term performance assessment.

Main Methods:

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  • Development of a comprehensive model simulating HLW container corrosion, mobilization, and groundwater transport.
  • Application of a probabilistic approach using logic trees to represent uncertainties in conceptual models and parameter values.
  • Simulation of hypothetical groundwater contamination scenarios and resulting radiation doses to future individuals.

Main Results:

  • The logic tree approach effectively represents uncertainties in both conceptual models and parameter values for HLW disposal.
  • The model simulates key processes leading to potential radiation exposure from the disposal facility.
  • Initial results demonstrate the model's capability to assess long-term performance under various uncertainty scenarios.

Conclusions:

  • Logic trees provide a valuable framework for managing and assessing uncertainties in HLW disposal performance assessments.
  • The developed model offers a systematic method for evaluating the safety of the Yucca Mountain repository.
  • Further research and comparison with alternative methods like Monte Carlo simulations are warranted.