Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 7
Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3561-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-3561-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 7
Research article
 | 
02 Jul 2018
Research article |  | 02 Jul 2018

Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media

Anis Younes, Jabran Zaouali, François Lehmann, and Marwan Fahs

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Cited articles

Allègre, V., Jouniaux, L., Lehmann, F., and Sailhac, P.: Streaming potential dependence on water-content in Fontainebleau sand, Geophys. J. Int., 182, 1248–1266, https://doi.org/10.1111/j.1365-246X.2010.04716.x, 2010. 
Archie, G. E.: The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics, Transactions of the AIME, 146, 54–62, https://doi.org/10.2118/942054-G, 1942. 
Arora, B., Mohanty, B. P., and McGuire, J. T.: Uncertainty in dual permeability model parameters for structured soils, Water Resour. Res., 48, https://doi.org/10.1029/2011WR010500, 2012. 
Belfort, B., Ramasomanan, F., Younes, A., anf Lehmann, F.: An efficient Lumped Mixed Hybrid Finite Element Formulation for variably saturated groundwater flow, Vadoze Zone Journal, 8, 352–362, https://doi.org/10.2136/vzj2008.0108, 2009. 
Blatman, G. and Sudret, B.: Efficient computation of global sensitivity indices using sparse polynomial chaos expansions, Reliability Engineering & System Safety, 95, 1216–1229, https://doi.org/10.1016/j.ress.2010.06.015, 2010. 
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Short summary
Water movement through unsaturated soils generates streaming potential (SP). Reliability of SP for the determination of soil properties is investigated. First, influence of hydraulic and geophysical soil parameters on the SP signals is assessed using global sensitivity analysis. Then, a Bayesian approach is used to assess the identifiability of the parameters from SP data. The results of a synthetic drainage column experiment show that all parameters can be reasonably estimated from SP signals.
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