Estimation of the water table throughout a catchment using self-potential and piezometric data in a Bayesian framework

Linde, Niklas; Revil, A.; Bolève, A.; Dagès, Cécile; Castermant, Julien; Suski, B.; Voltz, Marc

doi:10.1016/j.jhydrol.2006.09.027

Cited by 52 publications

(65 citation statements)

References 26 publications

(62 reference statements)

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“…The data were detrended using linear regression in the direction of water flow and interpolated using ordinary kriging (Deutsch and Journel, 1998). The kriging was performed with a spherical model that fitted the detrended experimental semi-variogram with a nugget of 3 (mV) 2 , an effective range of 18 m and a sill of 20 (mV) 2 (see Linde et al (2007b) for a more detailed description of kriging of SP data). Figure 2b displays the kriged map together with the linear trend model.…”

Section: Self-potential Mappingmentioning

confidence: 99%

Self-potential investigations of a gravel bar in a restored river corridor

Linde

Doetsch

Jougnot

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Self-potentials (SP) are sensitive to water fluxes and concentration gradients in both saturated and unsaturated geological media, but quantitative interpretations of SP field data may often be hindered by the superposition of different source contributions and time-varying electrode potentials. Self-potential mapping and close to two months of SP monitoring on a gravel bar were performed to investigate the origins of SP signals at a restored river section of the Thur River in northeastern Switzerland. The SP mapping and subsequent inversion of the data indicate that the SP sources are mainly located in the upper few meters in regions of soil cover rather than bare gravel. Wavelet analyses of the timeseries indicate a strong, but non-linear influence of water table and water content variations, as well as rainfall intensity on the recorded SP signals. Modeling of the SP response with respect to an increase in the water table elevation and precipitation indicate that the distribution of soil properties in the vadose zone has a very strong influence. We conclude that the observed SP responses on the gravel bar are more complicated than previously proposed semi-empiric relationships between SP signals and hydraulic head or the thickness of the vadose zone. We suggest that future SP monitoring in restored river corridors should either focus on quantifying vadose zone processes by installing vertical profiles of closely spaced SP electrodes or by installing the electrodes within the river to avoid signals arising from vadose zone processes and time-varying electrochemical conditions in the vicinity of the electrodes.Correspondence to: N. Linde

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Section: Self-potential Mappingmentioning

confidence: 99%

Self-potential investigations of a gravel bar in a restored river corridor

Linde

Doetsch

Jougnot

et al. 2011

Hydrol. Earth Syst. Sci.

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“…(5.1) is a linear relationship that does not take into account either the electrical resistivity or the permeability distribution of the subsurface. The amplitude of SP signals due to change in electrical resistivity could reach 60 mV when high contrasts are present (Linde et al, 2007). In this study, contrasts in electrical resistivity are not as sharp and lower amplitudes are expected.…”

Section: Sp Gradientsmentioning

confidence: 54%

“…The next step will be the quantification of the fluxes through joint inversion of SP, ERT and hydrogeological data to create a groundwater flow model of the area. Recent improvements were made in this direction (Bolève et al, 2009;Jardani et al, 2009;Linde et al, 2007) and should be used for further studies. New hydrogeological data are needed in the targeted area to fully understand groundwater flow systems.…”

Section: Discussionmentioning

confidence: 99%

“…When groundwater flows preferentially along fractures or karstic conduits, self-potential (SP) method has a great potential to image and characterize the fluxes (Fagerlund and Heinson, 2003;Jardani et al, 2006aJardani et al, , 2006bRevil et al, 2005;Suski et al, 2008;Wishart et al, 2008). Recent improvements were made in SP data inversion to retrieve the water table geometry (Jardani et al, 2009;Linde et al, 2007); to map hydraulic transmissivity distribution (Straface et al, 2007) or to characterize Darcy fluxes (Jardani et al, 2007) by integrating electrical resistivity and hydraulic conductivity distribution into the inversion scheme. However, these data are not always available in geophysical exploration and SP anomalies are therefore interpreted by examination of SP raw data together with ERT images.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the contribution of electrical resistivity tomography (ERT) and self-potential (SP) methods for a water well drilling program in fractured/karstified limestones

Robert

Dassargues

Brouyère

et al. 2011

Journal of Applied Geophysics

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“…Elements along the diagonal of W d correspond to the reciprocal of the standard deviation squared. Linde et al (2007) showed that the probability distribution of the self-potential measurements in the field corresponds to a Gaussian distribution. Outliers resulting from poor electrode contacts can be filtered out prior the inversion or the use of the L1 norm is advised in such a case.…”

Section: Inverse Modelingmentioning

confidence: 99%