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Quantifying and correcting for clay content effects on soil water measurement by reflectometers

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Listed:
  • Singh, J.
  • Lo, T.
  • Rudnick, D.R.
  • Irmak, S.
  • Blanco-Canqui, H.

Abstract

The presence of clay particles increases the specific surface area of a soil and can affect the calibration of electromagnetic soil water sensors including reflectometers. To quantify and correct for this effect in two relatively new reflectometers, three TDR315 and three CS655 sensors were installed in each of five soils with clay content ranging from 5 to 49%. As the soils were dried in a temperature controlled room, sensor reported soil volumetric water content (θv) according to the factory calibration was compared against reference θv determined by weighing the soils. Sensor reported θv was similar to reference θv in the sand soil (root mean square difference (RMSD) < 0.02 m3 m−3), but the discrepancy was larger for the clayey soils. An increase in clay content tended to cause TDR315 to underestimate low θv and tended to cause CS655 to overestimate θv in a concave down pattern. At the levels evaluated in this experiment, differences in clay content produced a larger effect than differences in temperature (24 versus 35 °C) and salinity (0 versus 3.09 g/L CaCl2) on factory calibration accuracy of both sensors. Soil specific empirical calibrations developed using a square root mixing model fitted the experimental data very closely (R2 > 0.93) for both sensors. By estimating calibration coefficients based on clay content alone to recalculate sensor θv from sensor reported apparent relative permittivity, RMSD from reference θv was reduced by approximately 36% for both sensors as compared with using the factory calibration. Applying the same procedure to independent literature data tended to improve θv accuracy of both sensors increasingly as clay content increased above 20%. The findings suggest that a simple, user-friendly correction for clay content effects may provide initial practical improvement over the factory calibration of a reflectometer in clayey soils.

Suggested Citation

  • Singh, J. & Lo, T. & Rudnick, D.R. & Irmak, S. & Blanco-Canqui, H., 2019. "Quantifying and correcting for clay content effects on soil water measurement by reflectometers," Agricultural Water Management, Elsevier, vol. 216(C), pages 390-399.
  • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:390-399
    DOI: 10.1016/j.agwat.2019.02.024
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    References listed on IDEAS

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    1. Kargas, George & Soulis, Konstantinos X., 2019. "Performance evaluation of a recently developed soil water content, dielectric permittivity, and bulk electrical conductivity electromagnetic sensor," Agricultural Water Management, Elsevier, vol. 213(C), pages 568-579.
    2. Singh, J. & Lo, T. & Rudnick, D.R. & Dorr, T.J. & Burr, C.A. & Werle, R. & Shaver, T.M. & Muñoz-Arriola, F., 2018. "Performance assessment of factory and field calibrations for electromagnetic sensors in a loam soil," Agricultural Water Management, Elsevier, vol. 196(C), pages 87-98.
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    Cited by:

    1. Lo, Tsz Him & Rudnick, Daran R. & Singh, Jasreman & Nakabuye, Hope Njuki & Katimbo, Abia & Heeren, Derek M. & Ge, Yufeng, 2020. "Field assessment of interreplicate variability from eight electromagnetic soil moisture sensors," Agricultural Water Management, Elsevier, vol. 231(C).
    2. Datta, Sumon & Taghvaeian, Saleh, 2023. "Soil water sensors for irrigation scheduling in the United States: A systematic review of literature," Agricultural Water Management, Elsevier, vol. 278(C).

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    More about this item

    Keywords

    Calibration; Clay; CS655; Nebraska; Sensor; TDR315;
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