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Sensitivity Analysis of Spatial and/or Temporal Phenomena

In: Handbook of Uncertainty Quantification

Author

Listed:
  • Amandine Marrel

    (CEA, DEN, DER)

  • Nathalie Saint-Geours

    (ITK - Predict & Decide)

  • Matthias De Lozzo

    (CEA, DEN, DER)

Abstract

This section presents several sensitivity analysis methods to deal with spatial and/or temporal models. Focusing on the variance-based approach, solutions are proposed to perform global sensitivity analysis with functional inputs and outputs. Some of these solutions are illustrated on two industrial case studies: an environmental model for flood risk assessment and an atmospheric dispersion model for radionuclide release. These test cases are fully described at the beginning of the paper. Then a section is dedicated to spatiotemporal inputs and proposes several sensitivity analysis methods. The use of metamodels is also addressed. Pros and cons of the various methods are then discussed. In a subsequent section, solutions to deal with spatiotemporal outputs are proposed: aggregated, site, and block indices are described. The use of functional metamodels for sensitivity analysis purpose is also discussed.

Suggested Citation

  • Amandine Marrel & Nathalie Saint-Geours & Matthias De Lozzo, 2017. "Sensitivity Analysis of Spatial and/or Temporal Phenomena," Springer Books, in: Roger Ghanem & David Higdon & Houman Owhadi (ed.), Handbook of Uncertainty Quantification, chapter 39, pages 1327-1357, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-12385-1_39
    DOI: 10.1007/978-3-319-12385-1_39
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