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Assessing the Impact of Brackish Water on Soil Salinization with Time-Lapse Inversion of Electromagnetic Induction Data

Author

Listed:
  • Lorenzo De Carlo

    (Water Research Institute, National Research Council of Italy, 70132 Bari, Italy)

  • Mohammad Farzamian

    (Instituto Nacional de Investigação Agrária e Veterinária, 2780-157 Oeiras, Portugal
    Centro de Estudos Geográficos, Laboratório Associado TERRA, Instituto de Geografia e Ordenamento do Território, Universidade de Lisboa, 1600-276 Lisboa, Portugal)

Abstract

Over the last decade, electromagnetic induction (EMI) measurements have been increasingly used for investigating soil salinization caused by the use of brackish or saline water as an irrigation source. EMI measurements proved to be a powerful tool for providing spatial information on the investigated soil because of the correlation between the output geophysical parameter, i.e., the electrical conductivity, to soil moisture and salinity. In addition, their non-invasive nature and their capability to collect a high amount of data over broad areas and in a relatively short time makes these measurements attractive for monitoring flow and transport dynamics, which are otherwise undetectable with conventional measurements. In an experimental field, EMI measurements were collected during the growth season of tomatoes and irrigated with three different irrigation strategies. Time-lapse data were collected over three months in order to visualize changes in electrical conductivity associated with soil salinity. A rigorous time-lapse inversion procedure was set for modeling the soil salinization induced by brackish irrigation water. A clear soil response in terms of an increase in electrical conductivity (EC) in the upper soil layer confirmed the reliability of the geophysical tool to predict soil salinization trends.

Suggested Citation

  • Lorenzo De Carlo & Mohammad Farzamian, 2024. "Assessing the Impact of Brackish Water on Soil Salinization with Time-Lapse Inversion of Electromagnetic Induction Data," Land, MDPI, vol. 13(7), pages 1-16, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:961-:d:1426149
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    References listed on IDEAS

    as
    1. Corwin, D.L. & Scudiero, E. & Zaccaria, D., 2022. "Modified ECa – ECe protocols for mapping soil salinity under micro-irrigation," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Wang, Lichun & Ning, Songrui & Chen, Xiaoli & Li, Youli & Guo, Wenzhong & Ben-Gal, Alon, 2021. "Modeling tomato root water uptake influenced by soil salinity under drip irrigation with an inverse method," Agricultural Water Management, Elsevier, vol. 255(C).
    Full references (including those not matched with items on IDEAS)

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