G. M. Veirana, P. D. Smedt, W. Cornelis, D. Hanssens, J. Verhegge
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引用次数: 0
摘要
随着研究浅层近地表的地球物理方法(如农业、环境或文化应用)越来越多,对能够将地球物理数据转换为地下属性定量信息的强大解释框架的需求也在增加。尽管对岩石的电导率(σ)或相对介电常数(εr)之间的关系有了很好的认识,但这些关系和认识如何转移到土壤中仍然存在模糊性(Romero-Ruiz等人,2018;Wunderlich et al., 2013)。对于土壤学应用,成功解释地球物理数据以量化土壤性质取决于正确使用可用的土壤物理模型(扩展岩石物理模型以提高松散沉积物的有效性),而这些模型的预测能力往往有限。请注意,这些模型不同于土壤传递函数(ptf),后者的目标是根据更容易描述的土壤特性(例如土壤质地、有机碳和体积密度(Vereecken et al. 1989))预测土壤水力特性,如保水特性。
A Theoretical Approach to Near Surface Pedophysical Permittivity Models
As geophysical approaches to investigating the shallow near surface, e.g., for agricultural, environmental or cultural applications, are increasing, the need for robust interpretative frameworks that enable converting geophysical data to quantitative information on subsurface properties equally rises. Despite well-established insight into relationships between electrical conductivity (σ) or relative permittivity (εr) of rocks, ambiguity remains about how these relationships and insights can be transferred to soils (Romero-Ruiz et al., 2018; Wunderlich et al., 2013). For pedological applications, successful interpretation of geophysical data for soil property quantification hinges on correct use of available pedophysical models (extending on their petrophysical counterparts to increase validity in unconsolidated sediments), which often are limited in their predictive capacity. Note that such models differ from pedotransfer functions (PTFs), which target prediction of soil hydraulic properties, such as water retention characteristics, based on soil properties that can be described more easily (e.g., soil texture, organic carbon and bulk density (Vereecken et al. 1989)).