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Temperature- and Texture-Dependent Dielectric Model for Moist Soils at 1.4 GHz

机译:1.4 GHz湿度下与温度和纹理有关的介电模型

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In this letter, a monofrequent dielectric model for moist soils taking into account dependences on the temperature and texture is proposed, in the case of an electromagnetic frequency equal to 1.4 GHz. The proposed model is deduced from a more general model proposed by Mironov and Fomin (2009) that provides estimations of the complex relative permittivity (CRP) of moist soils as a function of frequency, temperature, moisture, and texture of soils. The latter employs the physical laws of Debye and Clausius–Mossotti and the law of ion conductance to calculate the CRP of water solutions in the soil. The parameters of the respective physical laws were determined by using the CRPs of moist soils measured by Curtis (1995) for a wide ensemble of soil textures (clay content from 0% to 76%), moistures (from drying at 105 $^{circ}hbox{C}$ to nearly saturation), temperatures (10 $^{circ}hbox{C}$ –40 $^{circ}hbox{C}$), and frequencies (0.3–26.5 GHz). This model has standard deviations of calculated CRPs from the measured values equal to 1.9 and 1.3 for the real and imaginary parts of CRP, respectively. In the model proposed in this letter, the respective standard deviations were decreased to the values of 0.87 and 0.26. In addition, the equations to calculate the complex dielectric permittivity as a function of moisture, temperature, and texture were represented in a simple form of the refractive mixing dielectric model, which is commonly used in the algorithms of radiometric and radar remote sensing to retrieve moisture in the soil.
机译:在这封信中,提出了在电磁频率等于1.4 GHz的情况下考虑温度和质地依赖性的潮湿土壤单频介电模型。该模型是由Mironov和Fomin(2009)提出的更通用的模型推导得出的,该模型提供了潮湿土壤的复数相对介电常数(CRP)随频率,温度,湿度和土壤质地变化的估算值。后者利用Debye和Clausius–Mossotti的物理定律以及离子电导定律来计算土壤中水溶液的CRP。通过使用Curtis(1995)测量的潮湿土壤的CRP来确定各个物理定律的参数,这些土壤在宽阔的土壤质地(粘土含量从0%到76%),水分(在105°C下干燥) } hbox {C} $至接近饱和),温度(10 $ ^ {circ} hbox {C} $ – 40 $ ^ {circ} hbox {C} $)和频率(0.3–26.5 GHz)。对于CRP的实部和虚部,此模型的计算CRP与测量值的标准偏差分别等于1.9和1.3。在这封信提出的模型中,各自的标准偏差减小到0.87和0.26。此外,以复混介电模型的简单形式表示了计算复介电常数随湿度,温度和质地变化的方程,该方程通常用于辐射和雷达遥感算法中以获取水分。在土壤中。

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