Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1509-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-1509-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Calibrating electromagnetic induction conductivities with time-domain reflectometry measurements
Giovanna Dragonetti
Mediterranean Agronomic Institute (MAIB) – Land and Water Department, Valenzano (Bari), Italy
Alessandro Comegna
University of Basilicata, School of Agricultural, Forestry and Environmental Sciences – Hydraulics and Hydrology Division, Potenza, Italy
Ali Ajeel
University of Basilicata, School of Agricultural, Forestry and Environmental Sciences – Hydraulics and Hydrology Division, Potenza, Italy
Gian Piero Deidda
Dipartimento di Ingegneria Civile, Ambientale e Architettura, Università di Cagliari, Cagliari, Italy
Nicola Lamaddalena
Mediterranean Agronomic Institute (MAIB) – Land and Water Department, Valenzano (Bari), Italy
Giuseppe Rodriguez
Dipartimento di Matematica e Informatica, Università di Cagliari, Cagliari, Italy
Giulio Vignoli
Dipartimento di Ingegneria Civile, Ambientale e Architettura, Università di Cagliari, Cagliari, Italy
Groundwater and Quaternary Geology Mapping Department, Geological Survey of Denmark and Greenland, Aarhus, Denmark
Antonio Coppola
CORRESPONDING AUTHOR
University of Basilicata, School of Agricultural, Forestry and Environmental Sciences – Hydraulics and Hydrology Division, Potenza, Italy
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Cited
22 citations as recorded by crossref.
- Landscape-scale mapping of soil salinity with multi-height electromagnetic induction and quasi-3d inversion in Saharan Oasis, Tunisia M. Farzamian et al. 10.1016/j.agwat.2023.108330
- Forward Electromagnetic Induction Modelling in a Multilayered Half-Space: An Open-Source Software Tool G. Deidda et al. 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. 10.1007/s00271-023-00882-7
- Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling M. Farzamian et al. 10.5194/hess-25-1509-2021
- Reconstruction, with tunable sparsity levels, of shear wave velocity profiles from surface wave data G. Vignoli et al. 10.1093/gji/ggab068
- 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. 10.3390/land13030295
- In situ estimation of soil hydraulic and hydrodispersive properties by inversion of electromagnetic induction measurements and soil hydrological modeling G. Dragonetti et al. 10.5194/hess-26-5119-2022
- FDEMtools: a MATLAB package for FDEM data inversion G. Deidda et al. 10.1007/s11075-019-00843-2
- Inversion of Multiconfiguration Complex EMI Data with Minimum Gradient Support Regularization: A Case Study G. Deidda et al. 10.1007/s11004-020-09855-4
- A semi‐empirical model to predict the EM38 electromagnetic induction measurements of soils from basic ground properties F. Visconti & J. De Paz 10.1111/ejss.13044
- Mapping saltwater intrusion via Electromagnetic Induction (EMI) for planning a Managed Aquifer Recharge (MAR) facility in Maltese Island L. De Carlo et al. 10.7343/as-2024-743
- RETRACTED ARTICLE: River wetland ecological forecast and diversified development of university entrepreneurship education based on matching tracking X. Liu & X. Shi 10.1007/s12517-021-07956-w
- A review of new TDR applications for measuring non-aqueous phase liquids (NAPLs) in soils A. Comegna et al. 10.1016/j.envadv.2022.100296
- Impact of olive mill wastewater (OMW) on the soil hydraulic and solute transport properties A. Comegna et al. 10.1007/s13762-021-03630-6
- Optimization of particle swarm algorithm and its usage in calculation of hydrogeological parameter W. Fu et al. 10.1007/s12517-021-06604-7
- Soil salinity simulation based on electromagnetic induction and deep learning S. Gu et al. 10.1016/j.still.2023.105706
- Analysis of critical water flow and solute transport parameters in different soils mixed with a synthetic zeolite A. Comegna et al. 10.1016/j.catena.2023.107150
- Field Comparison of Electrical Resistance, Electromagnetic Induction, and Frequency Domain Reflectometry for Soil Salinity Appraisal F. Visconti & J. de Paz 10.3390/soilsystems4040061
- Identifying Optimal Irrigation Water Needs at District Scale by Using a Physically Based Agro-Hydrological Model A. Coppola et al. 10.3390/w11040841
- Recovering the electrical conductivity of the soil via a linear integral model P. Díaz de Alba et al. 10.1016/j.cam.2018.11.034
- Comparing actual transpiration fluxes as measured at leaf-scale and calculated by a physically based agro-hydrological model A. Sobhani et al. 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 10.3390/land12101932
22 citations as recorded by crossref.
- Landscape-scale mapping of soil salinity with multi-height electromagnetic induction and quasi-3d inversion in Saharan Oasis, Tunisia M. Farzamian et al. 10.1016/j.agwat.2023.108330
- Forward Electromagnetic Induction Modelling in a Multilayered Half-Space: An Open-Source Software Tool G. Deidda et al. 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. 10.1007/s00271-023-00882-7
- Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling M. Farzamian et al. 10.5194/hess-25-1509-2021
- Reconstruction, with tunable sparsity levels, of shear wave velocity profiles from surface wave data G. Vignoli et al. 10.1093/gji/ggab068
- 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. 10.3390/land13030295
- In situ estimation of soil hydraulic and hydrodispersive properties by inversion of electromagnetic induction measurements and soil hydrological modeling G. Dragonetti et al. 10.5194/hess-26-5119-2022
- FDEMtools: a MATLAB package for FDEM data inversion G. Deidda et al. 10.1007/s11075-019-00843-2
- Inversion of Multiconfiguration Complex EMI Data with Minimum Gradient Support Regularization: A Case Study G. Deidda et al. 10.1007/s11004-020-09855-4
- A semi‐empirical model to predict the EM38 electromagnetic induction measurements of soils from basic ground properties F. Visconti & J. De Paz 10.1111/ejss.13044
- Mapping saltwater intrusion via Electromagnetic Induction (EMI) for planning a Managed Aquifer Recharge (MAR) facility in Maltese Island L. De Carlo et al. 10.7343/as-2024-743
- RETRACTED ARTICLE: River wetland ecological forecast and diversified development of university entrepreneurship education based on matching tracking X. Liu & X. Shi 10.1007/s12517-021-07956-w
- A review of new TDR applications for measuring non-aqueous phase liquids (NAPLs) in soils A. Comegna et al. 10.1016/j.envadv.2022.100296
- Impact of olive mill wastewater (OMW) on the soil hydraulic and solute transport properties A. Comegna et al. 10.1007/s13762-021-03630-6
- Optimization of particle swarm algorithm and its usage in calculation of hydrogeological parameter W. Fu et al. 10.1007/s12517-021-06604-7
- Soil salinity simulation based on electromagnetic induction and deep learning S. Gu et al. 10.1016/j.still.2023.105706
- Analysis of critical water flow and solute transport parameters in different soils mixed with a synthetic zeolite A. Comegna et al. 10.1016/j.catena.2023.107150
- Field Comparison of Electrical Resistance, Electromagnetic Induction, and Frequency Domain Reflectometry for Soil Salinity Appraisal F. Visconti & J. de Paz 10.3390/soilsystems4040061
- Identifying Optimal Irrigation Water Needs at District Scale by Using a Physically Based Agro-Hydrological Model A. Coppola et al. 10.3390/w11040841
- Recovering the electrical conductivity of the soil via a linear integral model P. Díaz de Alba et al. 10.1016/j.cam.2018.11.034
- Comparing actual transpiration fluxes as measured at leaf-scale and calculated by a physically based agro-hydrological model A. Sobhani et al. 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 10.3390/land12101932
Latest update: 14 Dec 2024
Short summary
The paper aims to infer the bulk electrical conductivity distribution in the root zone from EMI readings. TDR measurements were used as ground-truth data to evaluate the goodness of the estimations by EMI inversion. The approach is based on the mean and standard deviation of the EMI and TDR series. It looks for the physical reasons for the differences between EMI- and TDR-based electrical conductivity and provides a correction of the bias based on the statistical sources of the discrepancies.
The paper aims to infer the bulk electrical conductivity distribution in the root zone from EMI...