1887
Volume 12 Number 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Evaporation is an important process in the global water cycle and its variation affects the near surface soil water content, which is crucial for surface hydrology and climate modelling. Soil evaporation rate is often characterized by two distinct phases, namely, the energy limited phase (stage‐I) and the soil hydraulic limited period (stage‐II). In this paper, a laboratory experiment was conducted using a sand box filled with fine sand, which was subject to evaporation for a period of twenty three days. The setup was equipped with a weighting system to record automatically the weight of the sand box with a constant time‐step. Furthermore, time‐lapse air‐launched ground penetrating radar (GPR) measurements were performed to monitor the evaporation process. The GPR model involves a full‐waveform frequency‐domain solution of Maxwell’s equations for wave propagation in three‐dimensional multilayered media. The accuracy of the full‐waveform GPR forward modelling with respect to three different petrophysical models was investigated. Moreover, full‐waveform inversion of the GPR data was used to estimate the quantitative information, such as near surface soil water content. The two stages of evaporation can be clearly observed in the radargram, which indicates qualitatively that enough information is contained in the GPR data. The full‐waveform GPR inversion allows for accurate estimation of the near surface soil water content during extended evaporation phases, when a wide frequency range of GPR (0.8–5.0 GHz) is taken into account. In addition, the results indicate that the CRIM model may constitute a relevant alternative in solving the frequency‐dependency issue for full waveform GPR modelling.

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2013-12-01
2020-06-01
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References

  1. AlumbaughD., ChangP.Y., PaprockiL., BrainardJ.R., GlassR.J. and RautmanC.A.2002. Estimating moisture contents in the vadose zone using cross‐borehole ground penetrating radar: A study of accuracy and repeatability. Water Resources Research38(12).
    [Google Scholar]
  2. AndreF., van LeeuwenC., SaussezS.,Van DurmenR., BogaertP., MoghadasD.et al.High‐resolution imaging of a vineyard in south of France using ground‐penetrating radar, electromagnetic induction and electrical resistivity tomography.Journal of Applied Geophysics78, 113–122.
    [Google Scholar]
  3. BinleyA., CassianiG., MiddletonR. and WinshipP.2002. Vadose zone flow model parameterisation using cross‐borehole radar and resistivity imaging. Journal of Hydrology267(3–4), 147–159.
    [Google Scholar]
  4. BrovelliA. and G.Cassiani. 2008. Effective permittivity of porous media: a critical analysis of the complex refractive index model. Geophysical Prospecting56(5),715–727.
    [Google Scholar]
  5. ChenY.P. and OrD.2006a. Geometrical factors and interfacial processes affecting complex dielectric permittivity of partially saturated porous media.Water Resources Research42(6).
    [Google Scholar]
  6. ChenY.P. and OrD.2006b. Effects of maxwell‐wagner polarization on soil complex dielectric permittivity under variable temperature and electrical conductivity. Water Resources Research42(6).
    [Google Scholar]
  7. DebyeP.1929. Polar Molecules.Reinhold, New York.
    [Google Scholar]
  8. GaramboisS., SenechalP. and PerroudH.2002. On the use of combined geophysical methods to assess water content and water conductivity of near‐surface formations. Journal of Hydrology259(1–4), 32–48.
    [Google Scholar]
  9. HillelD.2003. Introduction to Environmental Soil Physics.Elsevier Science.
    [Google Scholar]
  10. HuismanJ.A., SperlC., BoutenW. and VerstratenJ.M.2001. Soil water content measurements at different scales: accuracy of time domain reflectometry and ground penetrating radar. Journal of Hydrology245(1–4), 48–58.
    [Google Scholar]
  11. HuismanJ.A., SnepvangersJ., BoutenW. and HeuvelinkG.B.M.2002. Mapping spatial variation in surface soil water content: comparison of ground‐penetrating radar and time domain reflectometry. Journal of Hydrology269(3–4), 194–207.
    [Google Scholar]
  12. HuismanJ.A., HubbardS.S., RedmanJ.D. and AnnanA.P.2003. Measuring soil water content with ground penetrating radar: A review. Vadose Zone Journal2(4), 476–491.
    [Google Scholar]
  13. HuyerW. and NeumaierA.1999. Global optimization by multilevel coordinate search. Journal of Global Optimization14(4), 331–355.
    [Google Scholar]
  14. JadoonK.Z., SlobE., VancloosterM., VereeckenH. and LambotS.2008. Uniqueness and stability analysis of hydrogeophysical inversion for time‐lapse ground‐penetrating radar estimates of shallow soil hydraulic properties. Water Resources Research44(9).
    [Google Scholar]
  15. JadoonK.Z., LambotS., ScharnaglB., van der KrukJ., SlobE. and VereeckenH.2010. Quantifying field‐scale surface soil water content from proximal GPR signal inversion in the time domain. Near Surface Geophysics8(6), 483–491.
    [Google Scholar]
  16. JadoonK.Z., LambotS., SlobE.C. and VereeckenH.2011. Analysis of horn antenna transfer functions and phase‐center position for modeling off‐ground GPR. IEEE Transactions on Geoscience and Remote Sensing49(5), 1649–1662.
    [Google Scholar]
  17. JadoonK. Z., WeihermullerL., ScharnaglB., KowalskyM.B., BechtoldM. and HubbardS. et al. 2012. Estimation of soil hydraulic parameters in the field by integrated hydrogeophysical inversion of time‐lapse ground‐penetrating radar data. Vadose Zone Journal11(4).
    [Google Scholar]
  18. KleinL. and SwiftC.1977. An improved model for the dielectric constant of sea water at microwave frequencies. IEEE Transactions on Geoscience and Remote Sensing25(1), 104–111.
    [Google Scholar]
  19. KowalskyM.B., DietrichP., TeutschG. and RubinY.2001. Forward modeling of ground‐penetrating radar data using digitized outcrop images and multiple scenarios of water saturation. Water Resources Research37(6), 1615–1625.
    [Google Scholar]
  20. LagariasJ.C., ReedsJ.A., WrightM.H. and WrightP.E.1998. Convergence properties of the Nelder‐Mead simplex method in low dimensions. Siam Journal on Optimization9(1), 112–147.
    [Google Scholar]
  21. LambotS., RhebergenJ., van den BoschI., SlobE.C. and VancloosterM.2004a. Measuring the soil water content profile of a sandy soil with an off‐ground monostatic ground penetrating radar.Vadose Zone Journal3(4), 1063–1071.
    [Google Scholar]
  22. LambotS., SlobE.C., van den BoschI., StockbroeckxB. and VancloosterM.2004b. Modeling of ground‐penetrating radar for accurate characterization of subsurface electric properties.IEEE Transactions on Geoscience and Remote Sensing42, 2555–2568.
    [Google Scholar]
  23. LambotS., van den BoschI., StockbroeckxB., DruytsP., VancloosterM. and SlobE.C.2005. Frequency dependence of the soil electromagnetic properties derived from ground‐penetrating radar signal inversion. Subsurface Sensing Technologies and Applications6, 73–87.
    [Google Scholar]
  24. LambotS., SlobE.C., VancloosterM. and VereeckenH.2006a. Closed loop GPR data inversion for soil hydraulic and electric property determination. Geophysical Research Letters33, L21, 405. doi:10.1029/2006GL027
    [Google Scholar]
  25. LambotS., WeihermüllerL., HuismanJ.A., VereeckenH., VancloosterM. and SlobE.C.2006b. Analysis of air‐launched ground‐penetrating radar techniques to measure the soil surface water content. Water Resources Research42, W11. doi:10.1029/2006WR005
    [Google Scholar]
  26. LambotS., SlobE. and VereeckenH.2007. Fast evaluation of zero‐offset Green’s function for layered media with application to ground‐penetrating radar. Geophysical Research Letters34(21), 6.
    [Google Scholar]
  27. LedieuJ., De RidderP., De ClercqP. and DautrebandeS.1986. A method of measuring soil moisture by time domain reflectometry. Journal of Hydrology88, 319–328.
    [Google Scholar]
  28. LuntI.A., HubbardS.S. and RubinY.2005. Soil moisture content estimation using ground‐penetrating radar reflection data. Journal of Hydrology307(1–4), 254–269.
    [Google Scholar]
  29. MinetJ., LambotS., SlobE.C. and VancloosterM.2010. Soil surface water content estimation by full‐waveform GPR signal inversion in the presence of thin layers. IEEE Transactions on Geoscience and Remote Sensing48(3), 1138–1150.
    [Google Scholar]
  30. MinetJ., WahyudiA., BogaertP., VancloosterM. and LambotS.2011. Mapping shallow soil moisture profiles at the field scale using fullwaveform inversion of ground penetrating radar data. Geoderma161(3–4), 225–237.
    [Google Scholar]
  31. MoghadasD., AndreF., SlobE.C., VereeckenH. and LambotS.2010a. Joint full waveform analysis of off‐ground zero‐offset ground penetrating radar and electromagnetic induction synthetic data for estimating soil electrical properties. Geophysical Journal International182(3), 1267–1278.
    [Google Scholar]
  32. MoghadasD., AndreF., VereeckenH. and LambotS.2010b. Efficient loop antenna modeling for zero‐offset, off‐ground electromagnetic induction in multilayered media. Geophysics75(4),WA125–WA134.
    [Google Scholar]
  33. MoghadasD., AndreF., BradfordJ.H., van der KrukJ., VereeckenH. and LambotS.2012. Electromagnetic induction antenna modelling using a linear system of complex antenna transfer functions. Near Surface Geophysics10(3),237–247.
    [Google Scholar]
  34. MoghadasD., JadoonK.Z., VanderborghtJ., LambotS. and VereeckenH.2013. Effects of near surface soil moisture profiles during evaporation on far‐field ground‐penetrating radar data: a numerical study. Vadose Zone Journal12(2).
    [Google Scholar]
  35. RhoadesJ.D., RaatsP.A.C. and PratherR.J.1976. Effects of liquid‐phase electrical conductivity, water content, and surface conductivity on bulk soil electrical conductivity. Soil Science Society of America Journal40, 651–655.
    [Google Scholar]
  36. SerbinG. and OrD.2003. Near‐surface soil water content measurements using horn antenna radar: Methodology and overview. Vadose Zone Journal2(4), 500–510.
    [Google Scholar]
  37. SerbinG. and OrD.2004. Ground‐penetrating radar measurement of soil water content dynamics using a suspended horn antenna. IEEE Transactions on Geoscience and Remote Sensing42(8), 1695–1705.
    [Google Scholar]
  38. ShahraeeniE. and OrD.2012. Pore scale mechanisms for enhanced vapor transport through partially saturated porous media. Water Resources Research48, W05.
    [Google Scholar]
  39. ShokriN., LehmannP. and OrD.2010. Evaporation from layered porous media. Journal of Geophysical Research‐Solid Earth115.
    [Google Scholar]
  40. ShutkoA.M. and ReutovE.M.1982. Mixture formulas applied in estimation of dielectric and radiative characteristics of soils and grounds at microwave‐frequencies. IEEE Transactions on Geoscience and Remote Sensing20(1), 29–32.
    [Google Scholar]
  41. StogrynA.1971. Equations for calculating the dielectric constant of saline water (correspondence). IEEE Transactions on Microwave Theory and Techniques19(8), 733–736.
    [Google Scholar]
  42. TranA.P., ArdekaniM.R.M. and LambotS.2012. Coupling of dielectric mixing models with full‐wave ground‐penetrating radar signal inversion for sandy‐soil‐moisture estimation. Geophysics77(3), H33–H44.
    [Google Scholar]
  43. WagnerN., EmmerichK., BonitzF. and KupferK.2011. Experimental investigations on the frequency‐ and temperature‐dependent dielectric material properties of soil. IEEE Transactions on Geoscience and Remote Sensing49(7), 2518–2530.
    [Google Scholar]
  44. WangJ.R. and SchmuggeT.J.1980. An empirical‐model for the complex dielectric permittivity of soils as a function of water‐content. IEEE Transactions on Geoscience and Remote Sensing18(4), 288–295.
    [Google Scholar]
  45. WostenJ.H.M., LillyA., NemesA. and Le BasC.1999. Development and use of a database of hydraulic properties of European soils. Geoderma90(3–4), 169–185.
    [Google Scholar]
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