Influence of Pore-water Electrical Conductivity on Responses of Electromagnetic Induction and Ground-Penetrating Radar

Soil electrical conductivity (EC) determines the response of electromagnetic induction (EMI) and influences ground-penetrating radar (GPR)measurements as well, depending on the radar configuration. Irrigation water quality alters subsurface EC by changing the pore-waterconductivity (ECw), which is d...

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Bibliographic Details
Main Authors: Sashini Pathirana, Lakshman Galagedara, Lambot, Sébastien, Christina Smeaton, Adrian Unc, CSBE/SCGAB AGM and Technical Conference 2022, Charlottetown
Other Authors: UCL - SST/ELI/ELIE - Environmental Sciences
Format: Conference Object
Language:English
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/2078.1/264606
Description
Summary:Soil electrical conductivity (EC) determines the response of electromagnetic induction (EMI) and influences ground-penetrating radar (GPR)measurements as well, depending on the radar configuration. Irrigation water quality alters subsurface EC by changing the pore-waterconductivity (ECw), which is difficult to measure. Objectives of this study were to: (i) develop a relationship between soil:water extractconductivity (EC1:2) and saturated paste extract conductivity (ECe) to obtain the conversion factor (f) for boreal podzolic soil; and (ii) evaluatethe influence of ECw on GPR direct ground wave amplitude (DGWA) and apparent electrical conductivity (ECa) measured by EMI. During twoirrigation events, lowly conductive fresh-water (FW) and highly conductive salt-water (SW) were applied to an experimental field (72 m2) inPasadena, Newfoundland, Canada. EMI and GPR surveys were carried out to collect ECa and DGWA data, and soil samples (n=108) werecollected for background, irrigation-1, and irrigation-2. Factor f was estimated to derive ECe from EC1:2 and ECw was calculated andcorrelated with ECa and DGWA. A relationship of ECe=4.6xEC1:2 was found where f=4.6. Weakly positive (r=0.117, p=0.644) and stronglypositive (r=0.830, p=0.000) correlations between ECw and ECa were found for FW and SW irrigated plots, respectively. Moreover, weaklypositive (r=0.394, p=0.146) and strongly negative (r=-0.884, p=0.000) correlations were found between ECw and DGWA for FW and SWirrigated plots, respectively. These findings illustrate the influence of ECw on both EMI and GPR responses and will provide valuable insights toadvance the incorporation of GPR and EMI techniques to support precision agriculture