Estimation of hard rock aquifers hydraulic conductivity from geoelectrical measurements: A theoretical development with field application

Chandra, Subash; Ahmed, Shakeel; Ram, Arun; Dewandel, Benoı̂t

doi:10.1016/j.jhydrol.2008.05.023

Cited by 118 publications

(46 citation statements)

References 25 publications

(31 reference statements)

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“…If we consider the ρ as a measure of grain size and pore-size distribution (e.g., Kresnic, 2007;Chandra et al, 2008;Attwa et al, 2009;, the aquifer resistivity could be well correlated with the K values of the aquifer (Eq. 5).…”

Section: A New Approachmentioning

confidence: 99%

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Attwa

Günther

2013

Hydrol. Earth Syst. Sci.

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Abstract. Field and laboratory spectral induced polarization (SIP) measurements are integrated to characterize the hydrogeological conditions at the Schillerslage test site in Germany. The phase images are capable of monitoring thin peat layers within the sandy aquifers. However, the field results show limitations of decreasing resolution with depth. In comparison with the field inversion results, the SIP laboratory measurements show a certain shift in SIP response due to different compaction and sorting of the samples. The SIP data are analyzed to derive an empirical relationship for predicting the hydraulic conductivity (K). In particular, two significant but weak correlations between individual real resistivities (ρ ) and relaxation times (τ ), based on a Debye decomposition (DD) model, with measured K are found for the upper groundwater aquifer. The maximum relaxation time (τ max ) and logarithmically weighted average relaxation time (τ lw ) show a better relation with K values than the median value τ 50 . A combined power law relation between individual ρ and τ with K is developed with an expression of A · (ρ ) B · (τ lw ) C , where A, B and C are determined using a least-squares fit between the measured and predicted K. The suggested approach with the calculated coefficients of the first aquifer is applied for the second. Results show good correlation with the measured K indicating that the derived relationship is superior to single phase angle models as Börner or Slater models.

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Section: A New Approachmentioning

confidence: 99%

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Attwa

Günther

2013

Hydrol. Earth Syst. Sci.

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“…Yadav (1995) found that normalized aquifer resistivity is a very good predictor for transmissivity in this aquifer. Chandra, S., et al, (2008) developed a similar approach to estimate hydraulic conductivity of Maheshwaram watershed aquifer in hard rock terrain in Hyderabad, India. Another combined approach was proposed by Soupios, P., et al, (2007); they used groundwater resistivity (Rw) measured from boreholes samples and apparent formation factor (Fa), estimated using formation resistivity from Vertical Electrical Sounding to estimate intrinsic formation factor.…”

Section: Combined Interpretation Of Hydrogeologic and Geophysical Datamentioning

confidence: 99%

Influence of Degree of Saturation in the Electric Resistivity-Hydraulic Conductivity Relationship

Ahmed¹,

Santos²

2011

Developments in Hydraulic Conductivity Research

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“…The hydraulic limitations presented by the aquifers are directly related to the permeability and thickness that each sequence of the sedimentary cover can develop [5]. The physical analogy between hydraulic and electric flow has been a motivation to study for several authors [2,3,[6][7][8][9][10][11][12] who present relations between electrical and hydraulic parameters of an aquifer. Nourbehect [13] presents a general theoretical approach on the coupling between various flows of fluids of nature through a functional relation, which allows to establish that there are relations between electrical and hydraulic parameters.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Hydrological Parameters from Geoelectrical Measurements

Guevara¹,

Herrera-Barrientos²,

Rodríguez³

et al. 2017

Electrical Resistivity and Conductivity

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In the coastal aquifer of the lowlands on the right side of the river Sinaloa there is need for fresh water for agricultural development since, around 15% of the water used in agricultural irrigation, is from underground sources. This situation is exacerbated in periods of drought, which promotes drilling with the risk of finding brackish water in them; besides, there is the risk of not meeting water demand due to low hydraulic transmissivity (T) of the aquifer, putting at risk the drilling costs that this implies. In this sense, the determination of T and K (hydraulic conductivity) is important for the development and management of groundwater exploitation of the study area. Generally by means of pumping tests in wells, T is obtained, with high costs, so there are few values of T. K is generally obtained by wells and laboratory test. The aim of this chapter is to establish an empirical relationship between T and K with Dar-Zarrouk parameter in porous media, transverse resistance (T R ), in addition to a characterization of the water quality through the electrical resistivity. This parameter is estimated from surface resistivity measurements, which are more economical in relation to the pumping tests; thus, T was characterized in the study area

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Estimation of hard rock aquifers hydraulic conductivity from geoelectrical measurements: A theoretical development with field application

Cited by 118 publications

References 25 publications

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Influence of Degree of Saturation in the Electric Resistivity-Hydraulic Conductivity Relationship

Estimation of Hydrological Parameters from Geoelectrical Measurements

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