A Review of Approaches for Measuring Soil Hydraulic Properties and Assessing the Impacts of Spatial Dependence on the Results

Comegna, V.; Coppola, Antonio; Basile, Angelo; Comegna, Alessandro

doi:10.5772/17421

Cited by 5 publications

(4 citation statements)

References 90 publications

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“…The access tubes were installed to a depth of 70 cm and the height above ground level was 10 cm. Furthermore, 150 L of water was applied into the each observation plot until soil reached the saturation condition (Comegna et al, 2012). Once the soil became saturated the soil surface was then covered by plastic film to prevent evaporation through the surface of soil and prevent infiltration of rainwater into the soil profile (Comegna et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

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2016

J.Degrade.Min.Land Manage.

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The hedgerow systems are the agroforestry practices suggesting any positive impacts and negative impacts on soil characteristics. This study evaluated the effects of hedgerows on the unsaturated hydraulic conductivity of soil with the Libardi method approach. This study was conducted in North Lampung for 3 months on the hedgerow plots of Peltophorum dassyrachis (P), Gliricidia sepium (G), and without hedgerow plot (K), with four replications. Each plot was watered as much as 150 liters of water until saturated, then the soil surface were covered with the plastic film. Observation of soil moisture content was done to a depth of 70 cm by the 10 cm intervals. Soil moisture content was measured using the Neutron probe that was calibrated to get the value of volumetric water content. Unsaturated hydraulic conductivity of soil was calculated by using the Libardi Equation. Data were tested using the analysis of variance, the least significant different test (LSD), Duncan Multiple Range Test (DMRT), correlation and regression analysis. The results showed that the hedgerow significantly affected the soil moisture content and unsaturated hydraulic conductivity. Soil moisture content on the hedgerow plots was lower than the control plots. The value of unsaturated hydraulic conductivity in the hedgerow plots was higher than the control plots. Different types of hedgerows affected the soil moisture content and unsaturated hydraulic conductivity. The positive correlation was found between the volumetric soil moisture content and the unsaturated hydraulic conductivity of soil.

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Section: Methodsmentioning

confidence: 99%

“…Unsaturated hydraulic conductivity measurement required one variable of volumetric soil moisture content () that vary with time; the field measurement are usually conducted during the drainage process (Comegna et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2016

J.Degrade.Min.Land Manage.

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“…The procedure involves the installation of various probes, such as time domain reflectometry (TDR) or capacitive probes and tensiometers, to measure the hydraulic properties of the investigated medium. The soil is wetted to achieve saturation, and then the K(θ) curves are determined during either a drainage or evaporation process [42][43][44][45]. The obtained information is crucial in addressing environmental and agricultural challenges, particularly for estimating water drainage below the root zone and determining the soil water balance [46].…”

Section: Evaluating the Soil K(θ) Function Through The Instantaneous ...mentioning

confidence: 99%

Development and Application of an IoT-Based System for Soil Water Status Monitoring in a Soil Profile

Comegna,

Hassan,

Coppola

2024

Sensors

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Soil water content (θ), matric potential (h) and hydraulic conductivity (K) are key parameters for hydrological and environmental processes. Several sensors have been developed for measuring soil θ–h–K relationships. The cost of such commercially available sensors may vary over several orders of magnitude. In recent years, some sensors have been designed in the framework of Internet of Things (i.e., IoT) systems to make remote real-time soil data acquisition more straightforward, enabling low-cost field-scale monitoring at high spatio-temporal scales. In this paper, we introduce a new multi-parameter sensor designed for the simultaneous estimation of θ and h at different soil depths and, due to the sensor’s specific layout, the soil hydraulic conductivity function via the instantaneous profile method (IPM). Our findings indicate that a second-order polynomial function is the most suitable model (R2 = 0.99) for capturing the behavior of the capacitive-based sensor in estimating θ in the examined soil, which has a silty-loam texture. The effectiveness of low-cost capacitive sensors, coupled with the IPM method, was confirmed as a viable alternative to time domain reflectometry (TDR) probes. Notably, the layout of the sensor makes the IPM method less labor-intensive to implement. The proposed monitoring system consistently demonstrated robust performance throughout extended periods of data acquisition and is highly suitable for ongoing monitoring of soil water status.

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“…Yet, laboratory-scale measurements of hydraulic properties and dispersivity have been frequently used for field-scale studies (Coppola et al, 2011a;Comegna et al, 2012). However, one has to be aware that the validity of these lab-based properties for solving RE and ADE at field scale is essentially related to the size of the volume investigated, which has to appropriately represent the heterogeneity of the medium being studied (Wessolek et al, 1994;Ellsworth et al, 1996;van Genuchten et al, 1999;Inoue et al, 2000;Basile et al, 2003Basile et al, , 2006).…”

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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A Review of Approaches for Measuring Soil Hydraulic Properties and Assessing the Impacts of Spatial Dependence on the Results

Cited by 5 publications

References 90 publications

Untitled

Untitled

Development and Application of an IoT-Based System for Soil Water Status Monitoring in a Soil Profile

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

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