Global sensitivity analysis for a numerical model of radionuclide migration from the RRC “Kurchatov Institute” radwaste disposal site

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Use of global sensitivity analysis and polynomial chaos expansion for interpretation of nonreactive transport experiments in laboratory‐scale porous media (2011, methodology): “The methodology has found applications in the assessment of laboratory experiments in system biology [e.g., Kontoravdi et al. ,2 005;van Riel, 2006; Kiparissides et al., 2009, and references therein], reliability engineering [e.g., Frey and Patil ,2 002;Marrel et al., 2009], and within practices of ”
A Review on Global Sensitivity Analysis Methods (2014, unknown): “[92] consider the environmental assessment of industrial facilities.”
Controlled stratification for quantile estimation (2008, unknown): “Z = f r (X) are used to determine the biased distribution, while the complete model f is used to perform the estimation.”
Calculations of Sobol indices for the Gaussian process metamodel (2008, methodology): “To perform a variance-based sensitivity analysis for time consuming computer models, some authors propose to approximate the computer code by a metamodel (neural networks in Martin & Simpson [16], polynomials in Iooss et al. [10], boosting regression trees in Volkova et al. [29]).”