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Theoretical principles of experimental methods for determining the thermal diffusivity of soils.

机译:测定土壤热扩散率的实验方法的理论原理。

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Mathematical models for predicting the heat transfer in soils are used for the management of the soil thermal conditions; the development of different soil constructions; the analysis of the thermal effects related to the loosening or compaction of the surface soil layers, the sanding of peat, and the application of friable mulching materials; and the description of many other phenomena and processes. The experimental support of the development and functioning of these models is provided by the function of thermal diffusivity, which describes the thermal diffusivity as a function of the water content and can be derived using the methods based on the solution of direct and inverse problems of heat transfer. On the basis of the different boundary conditions and sine-shaped daily and annual temperature cycles, a number of equations were proposed for calculating the thermal diffusivity that contained logarithms, arctangents of amplitudes, and the phase shift between the daily temperatures at two depths. A mean-integral solution was obtained for the estimation of the average temperature in a specific soil layer. A number of methods were developed starting from the analysis of the temperature dynamics on the basis of four daily observations at the same depth with 6-hour intervals, and nomograms were given for the rapid and simple calculation of the soil thermal diffusivity at a specific depth. The developed methods can be used for assessing the soil thermal diffusivity under natural conditions, which should improve the reliability, accuracy, and adequacy and expand the application range of predictive mathematical models for the thermal regime of soils.
机译:用于预测土壤中热传递的数学模型用于管理土壤热状况。发展不同的土壤结构;分析与土壤表层松散或压实,泥炭打磨以及使用易碎覆盖材料有关的热效应;以及许多其他现象和过程的描述。这些模型的开发和功能的实验支持是由热扩散率函数提供的,该函数描述了热扩散率与水含量的关系,可以使用基于热的正反问题求解的方法来推导。转让。根据不同的边界条件和正弦形的日,年温度周期,提出了多个方程,用于计算热扩散率,其中包含对数,振幅的反正切以及两个深度处的每日温度之间的相移。获得了平均积分解,用于估计特定土壤层中的平均温度。基于对四个深度,每天间隔6小时的每日观测的温度动态分析,开发了许多方法,并给出了诺模图以快速简单地计算特定深度下的土壤热扩散率。 。所开发的方法可用于评估自然条件下土壤的热扩散率,这将提高可靠性,准确性和充分性,并扩大用于土壤热态的预测数学模型的应用范围。

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