Articles | Volume 21, issue 12
Research article
08 Dec 2017
Research article |  | 08 Dec 2017

Moment-based metrics for global sensitivity analysis of hydrological systems

Aronne Dell'Oca, Monica Riva, and Alberto Guadagnini

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Cited articles

Borgonovo, E.: A new uncertainty importance measure, Reliab. Eng. Syst. Safe., 92, 771–784, 2007.
Borgonovo, E., Castaings, W., and Tarantola, S.: Moment Independent Importance Measures: New Results and Analytical Test Cases, Risk Anal., 31, 404–428, 2011.
Chu, J., Zhang, C., Fu, G., Li, Y., and Zhou, H.: Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction, Hydrol. Earth Syst. Sci., 19, 3557–3570,, 2015.
Chun, M. H., Han, S. J., and Tak, N. I. L.: An uncertainty importance measure using a distance metric for the change in a cumulative distribution function, Reliab. Eng. Syst. Safe., 70, 313–321, 2000.
Ciriello, V., Di Federico, V., Riva, M., Cadini, F., De Sanctis, J., Zio, E., and Guadagnini, A.: Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer, Stoch. Env. Res. Risk. A., 27, 945–954,, 2013.
Short summary
We propose new metrics to assist global sensitivity analysis of Earth systems. Our approach allows assessing the impact of model parameters on the first four statistical moments of a target model output, allowing us to ascertain which parameters can affect some moments of the model output pdf while being uninfluential to others. Our approach is fully compatible with analysis in the context of model complexity reduction, design of experiment, uncertainty quantification and risk assessment.