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    Estimation of soil salinity in a drip irrigation system by using joint inversion of multicoil electromagnetic induction measurements

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    Type
    Article
    Authors
    Jadoon, Khan
    Moghadas, Davood
    Jadoon, Aurangzeb
    Missimer, Thomas M.
    Almashharawi, Samir
    McCabe, Matthew cc
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Earth System Observation and Modelling
    Environmental Science and Engineering Program
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2015-05-12
    Online Publication Date
    2015-05-12
    Print Publication Date
    2015-05
    Permanent link to this record
    http://hdl.handle.net/10754/552738
    
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    Abstract
    Low frequency electromagnetic induction (EMI) is becoming a useful tool for soil characterization due to its fast measurement capability and sensitivity to soil moisture and salinity. In this research, a new EMI system (the CMD mini-Explorer) is used for subsurface characterization of soil salinity in a drip irrigation system via a joint inversion approach of multiconfiguration EMI measurements. EMI measurements were conducted across a farm where Acacia trees are irrigated with brackish water. In situ measurements of vertical bulk electrical conductivity (σb) were recorded in different pits along one of the transects to calibrate the EMI measurements and to compare with the modeled electrical conductivity (σ) obtained by the joint inversion of multiconfiguration EMI measurements. Estimates of σ were then converted into the universal standard of soil salinity measurement (i.e., electrical conductivity of a saturated soil paste extract – ECe). Soil apparent electrical conductivity (ECa) was repeatedly measured with the CMD mini-Explorer to investigate the temperature stability of the new system at a fixed location, where the ambient air temperature increased from 26°C to 46°C. Results indicate that the new EMI system is very stable in high temperature environments, especially above 40°C, where most other approaches give unstable measurements. In addition, the distribution pattern of soil salinity is well estimated quantitatively by the joint inversion of multicomponent EMI measurements. The approach of joint inversion of EMI measurements allows for the quantitative mapping of the soil salinity distribution pattern and can be utilized for the management of soil salinity.
    Citation
    Estimation of soil salinity in a drip irrigation system by using joint inversion of multicoil electromagnetic induction measurements 2015:n/a Water Resources Research
    Publisher
    American Geophysical Union (AGU)
    Journal
    Water Resources Research
    DOI
    10.1002/2014WR016245
    Additional Links
    http://doi.wiley.com/10.1002/2014WR016245
    ae974a485f413a2113503eed53cd6c53
    10.1002/2014WR016245
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

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