An Improved Thermo-TDR Technique for Monitoring Soil Thermal Properties, Water Content, Bulk Density, and Porosity

被引:26
作者
Peng, Wei [1 ]
Lu, Yili [1 ]
Xie, Xiaoting [1 ]
Ren, Tusheng [1 ]
Horton, Robert [2 ]
机构
[1] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
[2] Iowa State Univ, Dept Agron, Ames, IA 50011 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
TIME-DOMAIN REFLECTOMETRY; HEAT-PULSE METHOD; ELECTRICAL-CONDUCTIVITY; EMPIRICAL-MODEL; PROBE; CAPACITY; SENSOR; DIFFUSIVITY; SENSITIVITY; EVAPORATION;
D O I
10.2136/vzj2019.03.0026
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The thermo-time domain reflectometry (thermo-TDR) technique is valuable for monitoring in situ soil water content (theta), thermal properties, bulk density (rho(b)), porosity (n), and air-filled porosity (n(a)) in the vadose zone. However, the previous thermo-TDR sensor has several weaknesses, including limited precision of TDR waveforms due to the short probe length, small measurement volume, and thermal property estimation errors resulting from finite probe properties not accounted for by the heat pulse method. We have developed a new thermo-TDR sensor design for monitoring theta, thermal properties, rho(b), n, and n(a). The new sensor has a robust heater probe (outer diameter of 2.38 mm and length of 70 mm) and a 10-mm spacing between the heater and sensing probes, which provides a sensing volume three times larger than that of the previous sensor. The identical cylindrical perfect conductors and the tangent line-second-order bounded mean oscillation theories were applied to analyze the raw data. Laboratory tests showed that theta values determined with the new sensor had a RMSE of 0.014 m(3) m(-3) compared with 0.016 to 0.026 m(3) m(-3) with the previous sensor. Soil thermal property estimates with the new sensor agreed well with modeled values. Soil rho(b), n, and n(a) derived from theta and thermal properties were consistent with those derived from gravimetric measurements. Thus, the new thermo-TDR sensor provides more accurate theta, thermal properties, rho(b), n, and n(a) values than the previous sensor.
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页数:9
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