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Microwave Spectroscopic Dielectric Model of Moist Soils Using Physical and Hydrological Characteristics as Input Parameters

机译:用物理和水文特征作为输入参数的微波光谱介电模型

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In this paper, the generalized refractive mixing dielectric model (GRMDM) has been modified to incorporate the major advantage of the semiempirical dielectric mixing model (SDMM) in providing for the complex dielectric constant of moist soil predictions in the microwave band, using only physical and hydrological characteristics of the soil as input parameters. First, the GRMDM spectral parameters were obtained for a set of 14 types of soils having various texture and mineralogy characteristics. Second, the regression equations linking the GRMDM spectral parameters to the physical and hydrological ones were deduced to ensure predictions of the complex dielectric constant of moist soils as a function of wave frequency, volumetric moisture, soil sand, clay, and organic component percentages, dry soil density, and maximum hygroscopicity soil. Through this methodology, a modified refractive mixing dielectric model (MRMDM) was developed, which provided for prediction of complex dielectric constant of moist soils, using their physical and hydrological characteristics as input parameters.
机译:在本文中,广义折射混合电介质模型(GRMDM)已被修改,以结合在提供在微波波段潮湿土壤预测的复介电常数,使用半经验电介质混合模型(SDMM)的主要优点仅物理和土壤的水文特征作为输入参数。首先,获得GRMDM光谱参数对于具有各种纹理和矿物学特性的一组14种土壤。其次,推导出将GRMDM光谱参数连接到物理和水文的回归方程,以确保作为波浪频率,体积水分,土砂,粘土和有机组分百分比的函数,以确保预测湿土的复杂介电常数。干燥土壤密度和最大吸湿性土壤。通过这种方法,经修饰的折射电介质混合模型(MRMDM)的开发,这提供了一种用于潮湿的土壤的复介电常数的预测,使用它们的物理和水文特征作为输入参数。

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