Distribution‐Based Global Sensitivity Analysis in Hydrology
Author:
Affiliation:
1. Dipartimento di Ingegneria Civile, Ambientale e dei Materiali (DICAM) Università di Bologna Bologna Italy
2. Department of Energy Resources Engineering Stanford University Stanford CA USA
Funder
U.S. Department of Energy
Università di Bologna
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025844
Reference27 articles.
1. Geological storage of CO2: Application, feasibility and efficiency of global sensitivity analysis and risk assessment using the arbitrary polynomial chaos
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3. A new uncertainty importance measure
4. Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box
5. Caniou Y. &Sudret B.(2011).Distribution‐based global sensitivity analysis in case of correlated input parameters using polynomial chaos expansions. InProc. 11th Int. Conf. on Applications of Stat. and Prob. in Civil Engineering (ICASP11).
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