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Published online 29 June 2007
Published in Soil Sci Soc Am J 71:1278-1287 (2007)
DOI: 10.2136/sssaj2006.0383
© 2007 Soil Science Society of America
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Accurate Time Domain Reflectometry Measurement of Electrical Conductivity Accounting for Cable Resistance and Recording Time

C.-P. Lin*, C.-C. Chung and S.-H. Tang

Dep. of Civil Engineering, National Chiao Tung Univ., 1001 Ta-Hsueh Rd., Hsinchu, Taiwan


Figure 1
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Fig. 1. (a) The multisection transmission line model of the time domain reflectometry (TDR) measurement system, in which each uniform section is characterized by the geometric impedance (Zp), resistance loss factor ({alpha}R), complex dielectric permittivity ({varepsilon}r*), and waveguide length (L). The transmission line is driven by a source voltage (Vs) with a source impedance (Zs) and terminated in a load (ZL). The input impedance (Zin) is defined as the ratio of line voltage (V) to the line current (I). (b) The associated direct current circuit model, in which Rs is the inner resistance (equal to the source impedance Zs), Rcable is the cable resistance, R is sample resistance, vs is the source voltage (in time domain), and v{infty} is the TDR steady-state voltage. (c) A typical TDR waveform showing definition of reflection coefficient ({rho}), where t0 is the roundtrip travel time in the probe section, and tcable is the roundtrip travel time in the cable section.

 

Figure 2
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Fig. 2. Effect of cable resistance on time domain reflectometry (TDR) waveforms for a variety of electrical conductivities ({sigma}): (a) measured TDR waveforms compared with that predicted by the full waveform model in this study; (b) measured TDR waveforms in Fig. 5b of Castiglione and Shouse (2003).

 

Figure 3
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Fig. 3. Illustration of the nonlinear relationship between the steady-state reflection coefficient with 200-m RG-58 cable and that without cable resistance, in which {rho}scaled is the scaled reflection coefficient by the Castiglione–Shouse method (Eq. [12]).

 

Figure 4
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Fig. 4. The estimated electrical conductivity ({sigma}est) using the actual probe constant in three different methods compared with the numerically controlled true electrical conductivity ({sigma}true).

 

Figure 5
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Fig. 5. The estimated electrical conductivity ({sigma}est) using the fitted probe constant (ß) in three different methods compared with the numerically controlled true electrical conductivity ({sigma}true).

 

Figure 6
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Fig. 6. Examples showing how (a) electrical conductivity {sigma}, (b) geometric impedance Zp and length L, and (c) dielectric permittivity affect the time required to reach the steady state, with time expressed as the time that includes multiples of roundtrip travel time in the probe section (t0).

 

Figure 7
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Fig. 7. Recording time required for the voltage (vt) to reach steady state (v{infty}) for probes that are (a) short-circuited, (b) in water of two electrical conductivities, and (c) in open air.

 

Figure 8
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Fig. 8. The effect of recording time (t), expressed as the time that includes multiples of roundtrip travel time in the probe section (t0), on the estimated electrical conductivity ({sigma}t) using the series resistors model with (a) cable resistance Rcable measured and probe constant ß fitted, and (b) Rcable and ß fitted, or using the Castiglione–Shouse method with (c) actual ß determined, and (d) ß fitted.

 

Figure 9
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Fig. 9. The effect of recording time (t), expressed as multiples of roundtrip travel time in the lead cable (tcable), on the estimated electrical conductivity ({sigma}t) using the series resistors model with (a) cable resistance Rcable measured and probe constant ß fitted, (b) Rcable and ß fitted, or using the Castiglione–Shouse method with (c) actual ß determined, and (d) ß fitted.

 

Figure 10
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Fig. 10. Electrical conductivity measured by time domain reflectometry ({sigma}TDR) compared with that measured by a YSI conductivity meter ({sigma}YSI) using three different models with the probe constant ß measured or fitted.

 





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