Estimation of unsaturated hydraulic parameters in sandstone using electrical resistivity tomography under a water injection test

Farzamian, Mohammad; Santos, Fernando A. Monteiro; Khalil, Mohamed A.

doi:10.1016/j.jappgeo.2015.07.014

Cited by 18 publications

(15 citation statements)

References 33 publications

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“…; Niwas and Celik ; Di Maio et al . ; Farzamian, Monteiro Santos and Khalil ; Choo et al . ), but in general, they were used to evaluate shallow aquifers or the vadose zone.…”

Section: Discussionmentioning

confidence: 99%

“…The procedure proposed makes use of two empirical laws between FF-K and TR-T. There are more complex petrophysical models accepted (Soupios et al 2007;Niwas and Celik 2012;Di Maio et al 2015;Farzamian, Monteiro Santos and Khalil 2015;Choo et al 2016), but in general, they were used to evaluate shallow aquifers or the vadose zone. However, for deeper aquifers (50-100m) it is difficult and expensive to acquire basic data for these models, such as granulometric distribution, type of packaging and even clay content.…”

Section: Discussionmentioning

confidence: 99%

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Estimation of hydraulic parameters using electrical resistivity tomography (ERT) and empirical laws in a semi‐confined aquifer

Perdomo

Kruse

Ainchil

2018

Near Surface Geophysics

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The estimation of hydraulic parameters is critical for the rational use of water resources and the development of reliable hydrogeological models. However, the cost of such estimation can be very high and the data are limited to the area near the pumping well. For this reason, complementary methods for estimating hydraulic conductivity and transmissivity have become increasingly important in recent years, such as the adjustment of empirical relationships between geoelectrical and hydraulic parameters. In this paper, two linear relationships were tested, combining resistivity measurements from well logging profiles and hydraulic conductivity values from pumping test data, in a semi‐confined fluvial aquifer in the province of Buenos Aires, Argentina. Furthermore, these relationships were used to obtain two‐dimensional (2D) hydraulic conductivity and transmissivity sections from electrical resistivity tomography using a high‐definition electrode array. Predicted values were compared with traditional pumping test in a near well showing very good agreement with both methods. Results showed that it would be possible to quantify the 2D variation of hydraulic parameters in aquifers and to identify high‐ or low‐productivity areas. By knowing this information in advance, it is possible to reduce the number of failures or unexpected results when drilling a well. These 2D sections also provide additional information about hydraulic parameters and their lateral variability, and can improve hydrogeological models without drilling new wells.

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“…; Niwas and Celik ; Di Maio et al . ; Farzamian, Monteiro Santos and Khalil ; Choo et al . ), but in general, they were used to evaluate shallow aquifers or the vadose zone.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Estimation of hydraulic parameters using electrical resistivity tomography (ERT) and empirical laws in a semi‐confined aquifer

Perdomo

Kruse

Ainchil

2018

Near Surface Geophysics

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“…In addition, several inversion methods have been proposed to obtain the distribution of the σb from σa measurements (Monteiro Santos, 2004;Farzamian et al, 2015b;Moghadas et al, 2019;Zare et al 2020;Mclachlan et al 2020). The EMI survey and inversion algorithm has now led to significant improvement in soil digital mapping and equipped soil scientists with a field-scale and cost-effective technology to obtain soil moisture and salinity (Koganti et al, 2018;Dragonetti et al, 2018;Paz et al, 2019;2020a) with depth over large areas quickly and cheaply.…”

Section: Introductionmentioning

confidence: 99%

In-situ estimation of soil hydraulic and hydrodispersive properties by inversion of Electromagnetic Induction measurements and soil hydrological modeling

Dragonetti

Farzamian

Coppola

et al. 2022

Preprint

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Abstract. Determining soil hydraulic and hydrodispersive properties is crucial for the sustainable management of water resources and agricultural land. Due to the local heterogeneity of soil hydrological properties and the lack of fast in-situ measurement techniques, it is hard to assess these properties at the field scale. The present study proposes a methodology based on the integration of Electromagnetic Induction (EMI) and hydrological modeling to estimate soil hydraulic and transport properties at the field scale. To this aim, two sequential water infiltration and solute transport experiments were carried out over a small field plot. The propagation of wetting front and solute concentration along the soil profile was monitored using an EMI sensor (i.e. CMD mini-Explorer), Time Domain Reflectometry (TDR) probes, and tensiometers. Time-lapse apparent electrical conductivity (σa) data obtained from the EMI sensor were inverted to estimate the evolution of the vertical distribution of the bulk electrical conductivity (σb) over time. The σb distributions were converted to water content and solute concentration by using a laboratory calibration, relating σb to water content (θ) and soil solution electrical conductivity (σw). The hydraulic and hydrodispersive properties were then obtained by an optimization procedure minimizing the deviations between the numerical solution of the water flow and solute transport processes and the estimated water contents and concentrations inferred from the EMI results. The EMI-based results were finally compared to the results obtained from the in-situ TDR and tensiometer measurements. In general, the EMI readings lead to underestimated water contents as compared to the TDR data. And yet, the water content changes over time detected by the EMI closely followed those observed by TDR and contain enough information for effective EMI-based reconstructions of water retention and hydraulic conductivity curves for the soil profile. In addition, this allowed us to reproduce the solute concentration distributions and thus the hydro-dispersive properties of the soil profile. Overall, the results suggest that time-lapse EMI measurements could be used as a rapid, non-invasive, field-scale method to assess soil hydraulic and hydro-dispersive properties, which are critical to hydrological models for agro-environmental applications.

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“…In several study cases, ERT was used to provide accurate estimations of soil moisture in hydrological applications [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. Furthermore, ERT data have been assimilated with other multiple data sources, temperature and moisture content data, as well as hydraulic parameters to predict subsurface hydrological variables, typically hydraulic conductivity, and parameters [ 19 , 20 , 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring

Carlo

Perkins

Caputo

2021

Sensors

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Preferential pathways allow rapid and non-uniform water movement in the subsurface due to strong heterogeneity of texture, composition, and hydraulic properties. Understanding the importance of preferential pathways is crucial, because they have strong impact on flow and transport hydrodynamics in the unsaturated zone. Particularly, improving knowledge of the water dynamics is essential for estimating travel time through soil to quantify hazards for groundwater, assess aquifer recharge rates, improve agricultural water management, and prevent surface stormflow and flooding hazards. Small scale field heterogeneities cannot be always captured by the limited number of point scale measurements collected. In order to overcome these limitations, noninvasive geophysical techniques have been widely used in the last decade to predict hydrodynamic processes, due to their capability to spatialize hydrogeophysical properties with high resolution. In the test site located in Bari, Southern Italy, the geophysical approach, based on electrical resistivity tomography (ERT) monitoring, has been implemented to detect preferential pathways triggered by an artificial rainfall event. ERT-derived soil moisture estimations were obtained in order to quantitatively predict the water storage (m3m−3), water velocity (ms−1), and spread (m2) through preferential pathways by using spatial moments analysis.

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Estimation of unsaturated hydraulic parameters in sandstone using electrical resistivity tomography under a water injection test

Cited by 18 publications

References 33 publications

Estimation of hydraulic parameters using electrical resistivity tomography (ERT) and empirical laws in a semi‐confined aquifer

Estimation of hydraulic parameters using electrical resistivity tomography (ERT) and empirical laws in a semi‐confined aquifer

In-situ estimation of soil hydraulic and hydrodispersive properties by inversion of Electromagnetic Induction measurements and soil hydrological modeling

Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring

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