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

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

doi:https://doi.org/10.5194/hess-22-3561-2018

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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Final revised paper (published on 02 Jul 2018)
Preprint (discussion started on 24 Jan 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media', Anonymous Referee #1, 08 Feb 2018
- AC1: 'Reply RC-Rev1', Marwan Fahs, 10 Apr 2018
RC2: 'Comment on “Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media”', Anonymous Referee #2, 18 Feb 2018
- AC2: 'Reply RC REV2', Marwan Fahs, 10 Apr 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by editor) (25 Apr 2018) by Bill X. Hu

AR by Marwan Fahs on behalf of the Authors (07 May 2018)

ED: Publish as is (11 Jun 2018) by Bill X. Hu

AR by Marwan Fahs on behalf of the Authors (19 Jun 2018)

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.