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a Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China 100101
b Dep. of Agronomy, Iowa State Univ., Ames, IA 50011
c China Agricultural Univ., Beijing, China 100094
* Corresponding author (rhorton{at}iastate.edu).
| ABSTRACT |
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) based on the linear relationship between soil volumetric heat capacity (C) and
. Previous work suggested that this method was more appropriate for determining change of
rather than its absolute value. In this study, we demonstrate that the heat-pulse method can give accurate
estimation when values for the specific heat of the soil solids (cs) are determined using the heat-pulse method. Heat-pulse measurements were performed on packed columns of three soils with a wide range of bulk density (
b) and
. When the commonly used cs value (0.725 kJ kg-3 K-1) was used, the heat-pulse method overestimated
by 0.052 m3 m-3 on average. However, when cs values determined from heat-pulse measurements on oven-dried soil were used, the heat-pulse method provided accurate
results (-0.006 m3 m-3 average error). Using soil-specific, heat-pulse determined cs values also reduced the average root mean square error (RMSE) in
for the three soils from 0.061 to 0.039 m3 m-3.
Abbreviations: C, soil volumetric heat capacity cs, specific heat of soil solids RMSE, root mean square error
, soil volumetric water content
b, bulk density
w, density of water
| INTRODUCTION |
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. Laboratory and field studies (Bristow et al., 1993; Tarara and Ham, 1997; Song et al., 1998) indicated that the method offers the benefits of low cost, less soil disturbance, and automatic and frequent in situ readings. The small sample volume also makes this method suitable for detailed measurements of the spatial variability of
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Several factors, including probe spacing (Bristow et al., 1993), soil bulk density (Tarara and Ham, 1997), and soil mineralogy (Bristow, 1998) may affect the accuracy of
measurement using the heat-pulse method. Bristow et al. (1993) and Tarara and Ham (1997) concluded that this method could provide accurate measurements of changes in
. In this note, we demonstrate that the accuracy of
measurement with the heat-pulse method is improved by using soil-specific values for cs.
| THEORY |
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![]() | [1] |
T is the temperature change (°C), t is time (s), t0 is the duration of the heat pulse (s), r is the radial distance (m), q is the rate of heating (W m-1),
is the soil thermal diffusivity (m2 s-1), C is the volumetric heat capacity (J m-3 K-1), and -Ei(-x) is the exponential integral (Abramowitz and Stegun, 1972). Once the
T(r, t) data are obtained from the probe, Eq. [1] is used to determine
and C by means of nonlinear regression (Bristow et al., 1995; Welch et al., 1996).
The volumetric heat capacity can also be estimated by summing the contributions of the individual components (Campbell et al., 1991):
![]() | [2] |
w is the density of water (Mg m-3), cw is the specific heat capacity of water (kJ kg-1 K-1), and
b is soil bulk density (Mg m-3). The contribution of soil air to C is ignored because the density and specific heat of air are very small relative to the other terms.
Rearranging Eq. [2] yields a simple expression for determining
from the heat-pulse method (Campbell et al., 1991):
![]() | [3] |
| MATERIALS AND METHODS |
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m-1. See Ren et al. (1999) for additional details regarding the probe design and construction. The heater-to-thermocouple spacing was calibrated using agar-immobilized water (5 g agar L-1), taking heat capacity of the water as 4.18 MJ m-3 K-1 (Campbell et al., 1991). The heat pulse was generated by applying a DC current to the central heater with a direct current supply (Model HY1791-3S, Huaiyin Electronics Equip. Corp., Huaiyin, China) for 15 s. A data logger (Model CR10X, Campbell Scientific, Logan, UT) controlled the heat input, monitored the temperatures of the thermocouples every second, and recorded the voltage drop across a precision resistor that was used to determine the current applied to the heater. The heater-to-thermocouple spacing was calculated by using a nonlinear regression method (Welch et al., 1996) to fit the temperature-by-time data.
The heat-pulse method was evaluated in the laboratory on three soils: a sand, a silt loam, and a silty clay loam. Table 1 lists the major physical characteristics of the three soils. Particle-size analysis was performed using the hydrometer method (Gee and Bauder, 1986) and the soil organic matter was measured using the WalkelyBlack titration method (Nelson and Sommers, 1982). The soils were air-dried, ground, sieved through a 2-mm screen, moistened with distilled water, and packed into soil columns (5.2-cm i.d. and 6.0 cm in height) with different water contents and bulk densities. Three columns with different
b values were packed at each value of
. The
b of the soil columns ranged from 0.95 to 1.45 Mg m-3 and
varied from air dry to saturation. All of the columns were tightly covered and placed in a temperature-regulated room (20 ± 1.2°C) for 48 h before measurements. After the probe was inserted into a soil column from the surface, a constant current was then applied from the direct current supply to the central heater for 15 s to generate the heat pulse. The data logger recorded the heating power by measuring the voltage drop across the precision resistor and measured the temperature in the outer rods as a function of time for 300 s. The soil volumetric heat capacity was calculated by analyzing the temperature increase versus time data at the sensor needles using a nonlinear curve-fitting technique (Welch et al., 1996). In each column, the heat-pulse measurements were repeated three times at 60-min intervals. The volumetric heat capacity was taken as the mean of the three replicate measurements. Finally, gravimetric water contents of the soils were determined by oven drying the samples at 105°C, and
b of the soil columns was also determined.
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bcs. Table 2 presents the measured results. Particle density was also determined using the pycnometer method and was used to calculate the volumetric heat capacity of the soil solids shown in Table 2.
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| RESULTS AND DISCUSSION |
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measurement when inaccurate values of cs were used in Eq. [3]. In this study, we first used 0.725 kJ kg-1 K-1 (de Vries, 1963) for cs and calculated
from C measurements using Eq. [3]. Figure 1
presents the heat-pulse results in comparison with the values determined gravimetrically. Good linear relationships exist between the data of the heat-pulse method and the gravimetric method. However, regardless of soil texture,
, and
b, the heat-pulse method systematically overestimated
. On average, Eq. [3] overestimated
by 0.067, 0.040, and 0.050 m3 m-3 for the sand, the silt loam, and the silty clay loam, respectively. Some of the scatter of the data at
> 0.2 m3 m-3 was caused by the spatial variation of
b within the columns, since we experienced difficulties in packing the soil columns uniformly at higher water contents.
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using Eq. [3]. The heat-pulse estimated cs values were 0.881, 0.913, and 0.973 kJ kg-1 K-1 for the sand, silty loam, and silty clay loam (Table 2). These values are respectively 21.5, 25.9, and 34.2% higher than the commonly used value of 0.725 kJ kg-1 K-1 (de Vries, 1963). The results calculated using these soil specific cs values agreed well with the gravimetrically measured values, and the data were randomly distributed along the 1:1 line (Fig. 2)
. On average, Eq. [3] overestimated
by 0.02 m3 m-3 for the sand and underestimated
by 0.014 and 0.025 m3 m-3 for the silt loam and the silty clay loam, respectively. For each soil the bias of the
measurement was reduced by using the cs values determined from the heat-pulse measurements on oven-dried soil.
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measurements for each soil. The RMSE decreased from 0.073 to 0.041 m3 m-3 for the sand, from 0.046 to 0.029 m3 m-3 for the silt loam, and from 0.062 to 0.048 m3 m-3 for the silty clay loam. We suspect that non-uniformities of
b and
within the packed columns caused these RMSE values to be larger than they would have been if the columns had been perfectly uniform. If so, then the real precision of the heat-pulse method is likely better than that indicated by these RMSE values.
Previous investigators (Bristow et al., 1993; Tarara and Ham, 1997) concluded that the heat-pulse method could provide accurate measurements of changes in
. Ours results showed that the heat-pulse method is also able to provide accurate absolute
for soils with a range of textures and
b, provided appropriate cs values are used. For the three soils used in this study, the measured cs values are greater than the commonly employed value, but they are still in the range of literature values (Table 3).
| CONCLUSIONS |
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. In this study, using the cs value (0.725 kJ kg-3 K-1) from de Vries (1963) resulted in overestimation of
by 0.040 to 0.067 m3 m-3. We also illustrated that using cs values determined from heat-pulse measurements on oven-dried soil samples improves the accuracy of the heat-pulse
measurements. Again, the focus of this study is on obtaining more accurate
measurements by the heat-pulse technique. Independent measurements of cs would be required to determine if the cs values determined by the heat-pulse method are themselves accurate. | NOTES |
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Received for publication March 7, 2002.
| REFERENCES |
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