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a USDA-ARS, Conservation and Production Research Lab., P.O. Drawer 10, Bushland, TX 79012-0010 USA
b Texas Agricultural Experiment Station, Route 3, Box 219, Lubbock, TX 79401-9757 USA
lbaumhar{at}ag.gov
Multisensor capacitance probes (MCAP) are an alternative to gravimetric or nuclear soil water content (
v, m3 m-3) measurements. Their
v measurements are more convenient than gravimetric, and don't carry the nuclear regulatory burdens. Previous studies noted potential salinity and temperature effects on MCAP
v determinations. Our objectives were to calibrate and verify MCAP
v measurement accuracy in two soil materials, two water salinities (1.3 and 11.3 dS m-1), and with diurnal temperature fluctuations. The surface and calcic horizons of an Olton soil (fine, mixed, superactive, thermic Aridic Paleustoll) were packed into triplicate, 0.5-m-tall, 100-L columns and wetted. We compared
v determined by volumetric measurements, time domain reflectometry (TDR), and MCAPs. The TDR
v were within ±0.01 m3 m-3 of volumetric determinations for air-dry and saturated soil. The factory supplied universal MCAP calibration provided accurate
v estimates for air dry (±0.01 m3 m-3) surface and calcic soil materials but not after wetting (
-0.05 m3 m-3). Also, imprecise MCAP sensor positioning during water frequency parameter determination was problematic and biased initial
v measurements. After calibration against TDR, the MCAP
v varied ±0.01 m3 m-3 from measured
v for air-dry and saturated conditions for both soil materials, which were then pooled to obtain one calibration. Column resaturation with saline water affected permittivity and elevated MCAP
v
0.25 m3 m-3 above the available pore space. Cyclical soil temperature fluctuations of 15°C induced similar fluctuations in indicated
v throughout the column (0.04 m3 m-3 for MCAP and 0.02 m3 m-3 for TDR), which was attributed to variations in permittivity.
Abbreviations: DOY, day of year EC, electrical conductivity MCAP, multisensor capacitance probe TDR, time domain reflectometry Fs, Fa, and Fw, sensor frequency in soil, air, and water RMSE, root mean square error SD, standard deviation SF, scaled sensor frequency
v, volumetric water content
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