Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1509-2021
© Author(s) 2021. 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-25-1509-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Mar 2021
Research article |
| 26 Mar 2021
| 26 Mar 2021
Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling
Mohammad Farzamian
Instituto Nacional de Investigação Agrária e Veterinária, Ministério da Agricultura, Oeiras, 2780-157, Portugal
Instituto Dom Luiz, Faculdade de Ciências da Universidade de Lisboa, Lisboa, 1749-016,
Portugal
Dario Autovino
Institute for Mediterranean Agricultural and Forestry Systems, National Research Council,
Portici (NA), 80055, Italy
Institute for Mediterranean Agricultural and Forestry Systems, National Research Council,
Portici (NA), 80055, Italy
Roberto De Mascellis
Institute for Mediterranean Agricultural and Forestry Systems, National Research Council,
Portici (NA), 80055, Italy
Giovanna Dragonetti
Mediterranean Agronomic Institute of Bari, Valenzano (BA), 70010, Italy
Fernando Monteiro Santos
Instituto Dom Luiz, Faculdade de Ciências da Universidade de Lisboa, Lisboa, 1749-016,
Portugal
Andrew Binley
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Antonio Coppola
School of Agricultural, Forestry, Food and Environmental Sciences, University of
Basilicata, Potenza, 85100, Italy
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In this article, we developed a method to better understand how soil water moisture and salt content affect electrical signals measured from the surface by electromagnetic induction technique. This helps farmers manage irrigation, especially in areas using salty water. By combining field and lab data, we could tell how much each factor—water or salt—affected the signal. This technique offers a faster, easier way to track soil health and could improve how we use water in farming.
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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.
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In this article, we developed a method to better understand how soil water moisture and salt content affect electrical signals measured from the surface by electromagnetic induction technique. This helps farmers manage irrigation, especially in areas using salty water. By combining field and lab data, we could tell how much each factor—water or salt—affected the signal. This technique offers a faster, easier way to track soil health and could improve how we use water in farming.
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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.
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The rapid decline of the Dead Sea level since the 1960s has provoked a dynamic reaction from the coastal groundwater system, with physical and chemical erosion creating subsurface voids and conduits. By combining remote sensing, geophysical methods, and numerical modelling at the Dead Sea’s eastern shore, we link groundwater flow patterns to the formation of surface stream channels, sinkholes and uvalas. Better understanding of this karst system will improve regional hazard assessment.
Maria Catarina Paz, Mohammad Farzamian, Ana Marta Paz, Nádia Luísa Castanheira, Maria Conceição Gonçalves, and Fernando Monteiro Santos
SOIL, 6, 499–511, https://doi.org/10.5194/soil-6-499-2020, https://doi.org/10.5194/soil-6-499-2020, 2020
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In this study electromagnetic induction (EMI) surveys and soil sampling were repeated over time to monitor soil salinity dynamics in an important agricultural area that faces risk of soil salinization. EMI data were converted to electromagnetic conductivity imaging through a mathematical inversion algorithm and converted to 2-D soil salinity maps until a depth of 1.35 m through a regional calibration. This is a non-invasive and cost-effective methodology that can be employed over large areas.
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Short summary
Soil salinity is a serious threat in numerous arid and semi-arid areas of the world. Given this threat, efficient field assessment methods are needed to monitor the dynamics of soil salinity in salt-affected lands efficiently. We demonstrate that rapid and non-invasive geophysical measurements modelled by advanced numerical analysis of the signals and coupled with hydrological modelling can provide valuable information to assess the spatio-temporal variability in soil salinity over large areas.
Soil salinity is a serious threat in numerous arid and semi-arid areas of the world. Given this...
