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Estimation from Soil Temperature of Soil Thermal Diffusivity and Heat Flux in Sub-surface Layers

机译:从土壤温度估算地下表层土壤的热扩散率和热通量

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摘要

Soil thermal parameters are important for calculating the surface energy balance and mass transfer. Previous studies have proposed methods to estimate thermal parameters using field data; however, the application of these methods lacks validation and comprehensive evaluation under different climatic conditions. Here, we evaluate four methods (amplitude, phase shift, conduction-convection and harmonic) to estimate thermal diffusivity (k) under different climatic conditions. Heat flux was simulated and compared with data from heat-flux plates to validate the application of the four methods. The results indicated that, under clear-sky conditions, the harmonic method had the greatest accuracy in estimating k, though it generated large errors on rainy days or under overcast conditions. The conduction-convection method (CCM) provided a reliable estimate of k on rainy days, or under overcast skies, coinciding with increased water movement in the soil profile. The amplitude method, although a simple calculation, had poor accuracy for rainy and overcast conditions. Finally, the phase shift method was shown to be a suitable alternative for CCM to estimate k under overcast conditions, though only when soil moisture content was high.
机译:土壤热参数对于计算表面能平衡和传质很重要。先前的研究提出了使用现场数据估算热参数的方法。然而,这些方法的应用缺乏在不同气候条件下的验证和综合评估。在这里,我们评估了四种方法(幅度,相移,传导-对流和谐波),以估算不同气候条件下的热扩散率(k)。模拟了热通量,并将其与热通量板的数据进行比较,以验证这四种方法的应用。结果表明,在晴空条件下,谐波法在估计k时精度最高,尽管在雨天或阴天条件下会产生较大的误差。传导对流法(CCM)提供了在雨天或阴天下k的可靠估计,这与土壤剖面中水分运动的增加相吻合。幅度法虽然计算简单,但在下雨和阴天条件下精度较差。最后,尽管只有在土壤水分含量很高时,相移法才被证明是CCM在阴天条件下估算k的合适替代方法。

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