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Estimating apparent thermal diffusivity of soil using field temperature time series

机译:使用场温度时间序列估算土壤的表观热扩散率

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Reliable estimates of soil thermal properties such as heat capacity, thermal conductivity, and diffusivity are important in analysis of heat transmission through soils in applications such as shallow geothermal applications, buried electrical conduits, and in general heat/fluid flow analyses. A number of analytical, numerical and experimental methods are available to determine the soil thermal properties. In this paper, the analytical and numerical methods developed on the basis of one-dimensional heat conduction equation are used to estimate the apparent thermal diffusivity of soil. Three of the four analytical methods, Amplitude, Phase, and Arctangent provide explicit equations for the apparent thermal diffusivity. Two methods, Harmonic and Numerical, make use of large number of temperature measurements to implicitly solve for the apparent thermal diffusivity. The temperature time series data monitored at different depths in two field sites in Melbourne, Australia for more than 2 year period were used to estimate the apparent thermal diffusivity of soil down to 2 m depth. The apparent thermal diffusivity was calculated using all five methods and compared with laboratory experimental results. The effectiveness of each method in predicting the thermal diffusivity was compared and observed discrepancies were discussed. Finally, the observed soil temperature data for a 12 month period are used to model the temperature variation in the ground analytically using Harmonic method and the model prediction for the following 12 month was compared independently with the field measurements. The analytical model prediction is found to be in good agreement with the field monitored data.
机译:可靠地估计土壤热特性,例如热容量,导热系数和扩散率,对于分析诸如浅层地热应用,地下电导管以及一般的热/流体流分析等应用中通过土壤的传热非常重要。有许多分析,数值和实验方法可用来确定土壤的热性质。本文采用基于一维热传导方程的解析和数值方法来估算土壤的表观热扩散率。四种分析方法中的三种(振幅,相位和反正切)为视在热扩散率提供了明确的方程式。谐波和数值两种方法利用大量的温度测量值来隐式求解表观的热扩散率。在澳大利亚墨尔本的两个野外站点进行了两年以上的不同深度监测的温度时间序列数据,用于估算低至2 m深度土壤的表观热扩散率。使用所有五种方法计算了表观热扩散率,并将其与实验室实验结果进行了比较。比较了每种方法预测热扩散率的有效性,并讨论了观察到的差异。最后,使用12个月观察到的土壤温度数据,使用Harmonic方法分析地表温度变化,并将接下来12个月的模型预测与田间测量独立进行比较。分析模型的预测与现场监测数据非常吻合。

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