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A comparison of sensitivity analysis techniques

D M Hamby1

  • 1Dept. of Environmental and Industrial Health, School of Public Health, University of Michigan, Ann Arbor 48109-2029.

Health Physics
|February 1, 1995
PubMed
Summary
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This study analyzes 21 input parameters for a tritium dose model using 14 sensitivity analysis methods. It ranks parameter importance and evaluates method performance for environmental protection and nuclear facility control.

Area of Science:

  • Environmental Science
  • Nuclear Engineering
  • Computational Modeling

Background:

  • Radioactive pollutant modeling is crucial for environmental safety and nuclear facility management.
  • Sensitivity analysis is essential for validating models and guiding research by examining input parameter influence.

Purpose of the Study:

  • To analyze the sensitivities of 21 input parameters for a specific-activity tritium dose model.
  • To evaluate the performance and calculational effort of fourteen different parameter sensitivity analysis methods.

Main Methods:

  • Employed fourteen distinct parameter sensitivity analysis techniques.
  • Analyzed 21 input parameters for a specific-activity tritium dose model.
  • Assessed sensitivity measures including partial derivatives, standard deviation variations, various indices, and statistical tests (Smirnov, Cramer-von Mises, Mann-Whitney, squared-ranks).

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Main Results:

  • Ranked the importance of 21 input parameters based on their influence on the tritium dose model.
  • Demonstrated the calculational effort required for each sensitivity method.
  • Provided a comparative performance evaluation of the fourteen sensitivity analysis methods.

Conclusions:

  • Sensitivity analysis is a vital tool for understanding and validating radioactive pollutant models.
  • The choice of sensitivity analysis method impacts the ranking of parameters and the overall model understanding.
  • This research offers guidance for selecting appropriate methods for future environmental and nuclear safety modeling efforts.