Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-5119-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5119-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2022
Research article |
| 12 Oct 2022
| 12 Oct 2022
In situ estimation of soil hydraulic and hydrodispersive properties by inversion of electromagnetic induction measurements and soil hydrological modeling
Giovanna Dragonetti
CORRESPONDING AUTHOR
Mediterranean Agronomic Institute of Bari, Valenzano (BA), 70010,
Italy
Mohammad Farzamian
CORRESPONDING AUTHOR
Instituto Nacional de Investigação Agrária e Veterinária, Oeiras, 2780-157, Portugal
Instituto Dom Luiz, Faculdade de Ciências da Universidade de
Lisboa, Lisbon, 1749-016, Portugal
Angelo Basile
Institute for Mediterranean Agricultural and Forestry Systems,
National Research Council, Portici (NA), 80055, Italy
Fernando Monteiro Santos
Instituto Dom Luiz, Faculdade de Ciências da Universidade de
Lisboa, Lisbon, 1749-016, Portugal
Antonio Coppola
School of Agricultural, Forestry, Food and Environmental Sciences,
University of Basilicata, Potenza, 85100, Italy
Department of Chemical and Geological Sciences, University of
Cagliari, Cagliari, 09124, Italy
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Cited
17 citations as recorded by crossref.
- Time-Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock L. De Carlo et al. https://doi.org/10.3390/w15020332
- Soil salinity simulation based on electromagnetic induction and deep learning S. Gu et al. https://doi.org/10.1016/j.still.2023.105706
- An in-situ methodology to separate the contribution of soil water content and salinity to EMI-based soil electrical conductivity D. Autovino et al. https://doi.org/10.5194/soil-12-37-2026
- Soil Water-Soluble Ion Inversion via Hyperspectral Data Reconstruction and Multi-Scale Attention Mechanism: A Remote Sensing Case Study of Farmland Saline–Alkali Lands M. Liu et al. https://doi.org/10.3390/agronomy15081779
- Comparison of Electromagnetic Induction and Electrical Resistivity Tomography in Assessing Soil Salinity: Insights from Four Plots with Distinct Soil Salinity Levels M. Paz et al. https://doi.org/10.3390/land13030295
- Interactive Effects of Microbial Fertilizer and Soil Salinity on the Hydraulic Properties of Salt-Affected Soil X. Yang et al. https://doi.org/10.3390/plants13040473
- Investigation of Topsoil Salinity and Soil Texture Using the EM38-MK2 and the WET-2 Sensors in Greece P. Petsetidi et al. https://doi.org/10.3390/agriengineering7100347
- Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data M. Pleasants et al. https://doi.org/10.1016/j.jhydrol.2024.132376
- Enhancing Accuracy in Soil Water Content Measurement: A Modified Dielectric Model Approach H. Chen et al. https://doi.org/10.1007/s42729-024-02103-2
- Prediction of temporal and spatial soil salinity distributions using electromagnetic conductivity imaging and regional calibration T. Selim et al. https://doi.org/10.1007/s00271-024-00998-4
- Assessing soil moisture variability in a vineyard via frequency domain electromagnetic induction data L. De Carlo et al. https://doi.org/10.3389/fsoil.2023.1290591
- Forward Electromagnetic Induction Modelling in a Multilayered Half-Space: An Open-Source Software Tool G. Deidda et al. https://doi.org/10.3390/rs15071772
- Analyzing the role of soil and vegetation spatial variability in modelling hydrological processes for irrigation optimization at large scale S. Hassan et al. https://doi.org/10.1007/s00271-023-00882-7
- Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging T. Ramos et al. https://doi.org/10.1016/j.agwat.2023.108472
- Time-Lapse Electromagnetic Conductivity Imaging for Soil Salinity Monitoring in Salt-Affected Agricultural Regions M. Eltarabily et al. https://doi.org/10.3390/land13020225
- Comparing actual transpiration fluxes as measured at leaf-scale and calculated by a physically based agro-hydrological model A. Sobhani et al. https://doi.org/10.4081/jae.2023.1527
- Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches P. Petsetidi & G. Kargas https://doi.org/10.3390/land12101932
17 citations as recorded by crossref.
- Time-Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock L. De Carlo et al. https://doi.org/10.3390/w15020332
- Soil salinity simulation based on electromagnetic induction and deep learning S. Gu et al. https://doi.org/10.1016/j.still.2023.105706
- An in-situ methodology to separate the contribution of soil water content and salinity to EMI-based soil electrical conductivity D. Autovino et al. https://doi.org/10.5194/soil-12-37-2026
- Soil Water-Soluble Ion Inversion via Hyperspectral Data Reconstruction and Multi-Scale Attention Mechanism: A Remote Sensing Case Study of Farmland Saline–Alkali Lands M. Liu et al. https://doi.org/10.3390/agronomy15081779
- Comparison of Electromagnetic Induction and Electrical Resistivity Tomography in Assessing Soil Salinity: Insights from Four Plots with Distinct Soil Salinity Levels M. Paz et al. https://doi.org/10.3390/land13030295
- Interactive Effects of Microbial Fertilizer and Soil Salinity on the Hydraulic Properties of Salt-Affected Soil X. Yang et al. https://doi.org/10.3390/plants13040473
- Investigation of Topsoil Salinity and Soil Texture Using the EM38-MK2 and the WET-2 Sensors in Greece P. Petsetidi et al. https://doi.org/10.3390/agriengineering7100347
- Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data M. Pleasants et al. https://doi.org/10.1016/j.jhydrol.2024.132376
- Enhancing Accuracy in Soil Water Content Measurement: A Modified Dielectric Model Approach H. Chen et al. https://doi.org/10.1007/s42729-024-02103-2
- Prediction of temporal and spatial soil salinity distributions using electromagnetic conductivity imaging and regional calibration T. Selim et al. https://doi.org/10.1007/s00271-024-00998-4
- Assessing soil moisture variability in a vineyard via frequency domain electromagnetic induction data L. De Carlo et al. https://doi.org/10.3389/fsoil.2023.1290591
- Forward Electromagnetic Induction Modelling in a Multilayered Half-Space: An Open-Source Software Tool G. Deidda et al. https://doi.org/10.3390/rs15071772
- Analyzing the role of soil and vegetation spatial variability in modelling hydrological processes for irrigation optimization at large scale S. Hassan et al. https://doi.org/10.1007/s00271-023-00882-7
- Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging T. Ramos et al. https://doi.org/10.1016/j.agwat.2023.108472
- Time-Lapse Electromagnetic Conductivity Imaging for Soil Salinity Monitoring in Salt-Affected Agricultural Regions M. Eltarabily et al. https://doi.org/10.3390/land13020225
- Comparing actual transpiration fluxes as measured at leaf-scale and calculated by a physically based agro-hydrological model A. Sobhani et al. https://doi.org/10.4081/jae.2023.1527
- Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches P. Petsetidi & G. Kargas https://doi.org/10.3390/land12101932
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
Soil hydraulic and hydrodispersive properties are necessary for modeling water and solute fluxes in agricultural and environmental systems. Despite the major efforts in developing methods (e.g., lab-based, pedotransfer functions), their characterization at applicative scales remains an imperative requirement. Thus, this paper proposes a noninvasive in situ method integrating electromagnetic induction and hydrological modeling to estimate soil hydraulic and transport properties at the plot scale.
Soil hydraulic and hydrodispersive properties are necessary for modeling water and solute fluxes...
