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a Dep. of Soil and Water, China Agriculture Univ., Beijing, China 100094
b Dep. of Agronomy, Iowa State Univ., Ames, IA 50011
* Corresponding author (tsren{at}cau.edu.cn).
Surface soil bulk density varies with time and location. In most cases, destructive soil sampling has been used to monitor soil bulk density,
b. Recently the thermo-time domain reflectometry (TDR) technique was shown in principle to be able to estimate
b. Thermo-TDR sensors can measure soil volumetric heat capacity (
c) and soil water content (
). Since
c depends on
and
b, measurements of
c and
can be used to estimate
b. Previous studies indicated, however, that there were large deviations between thermo-TDR estimates and gravimetric measures of
b. Deviations were attributed mainly to the change of thermo-TDR needle-to-needle spacing during sensor insertion into the soil. The objective of this study was to improve the thermo-TDR sensor design to improve estimation of
b. The ability of three new prototype thermo-TDR sensors, along with an existing thermo-TDR sensor, to estimate
b was investigated. Evaluation results indicated that a three-needle sensor design with 2-mm needle diameter, 40-mm needle length, and 8-mm needle-to-needle spacing provided the most accurate estimation of soil
b. For this sensor, the RMSEs of
b estimates compared with gravimetric measures of
b in laboratory evaluations were 0.055, 0.051, and 0.046 Mg m–3 for a silt loam, a clay loam, and a sand soil, respectively, and was 0.095 Mg m–3 in a field evaluation. In terms of relative error, this specific design was generally within 5% under laboratory conditions and within 10% under field conditions. The improved thermo-TDR sensor provides an opportunity for obtaining accurate, nondestructive, repeated estimates of soil
b.
Abbreviations: OM, organic matter RE, relative error TDR, time domain reflectometry
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