Assessing the dynamics of soil salinity with time-lapse inversion  of electromagnetic data guided by hydrological modelling

Farzamian, Mohammad; Autovino, Dario; Basile, Angelo; De Mascellis, Roberto; Dragonetti, Giovanna; Monteiro Santos, Fernando; Binley, Andrew; Coppola, Antonio

doi:https://doi.org/10.5194/hess-25-1509-2021

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.

https://doi.org/10.5194/hess-25-1509-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

26 Mar 2021

Research article |

| 26 Mar 2021

Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling

Mohammad Farzamian, Dario Autovino, Angelo Basile, Roberto De Mascellis, Giovanna Dragonetti, Fernando Monteiro Santos, Andrew Binley, and Antonio Coppola

Data sets

Dataset of EMI measurements referred to https://doi.org/10.5194/hess-25-1-2021 (Version 1.0) A. Basile https://doi.org/10.5281/zenodo.4627570

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.