不同温度下的土壤热导率模拟
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国家863项目“农田土壤信息新型传感器与信息解析”(2006AA10Z205)与“车载农田土壤信息快速采集关键技术与产品研发”(2006AA10A301-1)


Model for predicting soil thermal conductivity at various temperatures
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    摘要:

    土壤热导率是研究陆地表层水热盐耦合运动的基本物理参数。由于水汽潜热传热在高温下的显著作用,高温下的土壤热导率显著高于常温值。该研究的目的是建立能够有效预测高温下土壤热导率的模型。在气体扩散定律的基础上,该文结合常温土壤热导率模型,提出了一个计算高温土壤热导率的新方法。并利用热脉冲技术实际测定了不同温度、不同含水率下的土壤热导率,对新模型进行了测试验证。结果表明,Cass等的水汽运移促进因子参数依赖于土壤质地,且存在较大的不确定性。经过对该参数修正后,建立的热导率模型均能够较好地模拟出高温下的土壤热导率。

    Abstract:

    Soil thermal conductivity is an essential parameter for studying the coupled transport of heat, water, and solute at land surface. It is generally recognized that soil thermal conductivity is increased at elevated temperatures due to the enhanced latent heat transfer. The objective of this study was to develop a model that was capable of predicting soil thermal conductivity at high temperatures. The gas diffusion law was applied and the latent heat transfer of vapor was introduced to a soil thermal conductivity model for moderate temperature. The performance of the model was examined by heat-pulse measurements of soil thermal conductivity at various temperatures and water contents. The results indicated that the vapor enhancement factor varied with soil texture and existed a great uncertainty. Thus the parameters of Cass et al that were used to estimate the vapor enhancement factor were modified. When the adjusted parameters were applied, the new model was able to predict soil thermal conductivity accurately at high temperatures.

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陆 森,任图生.不同温度下的土壤热导率模拟[J].农业工程学报,2009,25(7):13-18.

Lu Sen, Ren Tusheng. Model for predicting soil thermal conductivity at various temperatures[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2009,25(7):13-18.

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  • 收稿日期:2009-02-01
  • 最后修改日期:2009-05-15
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