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Effects of near surface soil moisture profiles during evaporation on far-field ground-penetrating radar data: A numerical study

机译:蒸发过程中近地表土壤水分剖面对远场探地雷达数据的影响:数值研究

摘要

We theoretically investigated the effect of vapor flow on the drying front that develops in soils when water evaporates from the soil surface and on GPR data. The results suggest the integration of the full-wave GPR model with a coupled water, vapor, and heat flow model to accurately estimate the soil hydraulic properties. We investigated the Effects of a drying front that emerges below an evaporating soil surface on the far-field ground-penetrating radar (GPR) data. First, we performed an analysis of the width of the drying front in soils with 12 different textures by using an analytical model. Then, we numerically simulated vertical soil moisture profiles that develop during evaporation for the soil textures. We performed the simulations using a Richards flow model that considers only liquid water flow and a model that considers coupled water, vapor, and heat flows. The GPR signals were then generated from the simulated soil water content profiles taking into account the frequency dependency of apparent electrical conductivity and dielectric permittivity. The analytical approach indicated that the width of the drying front at the end of Stage I of the evaporation was larger in silty soils than in other soil textures and smaller in sandy soils. We also demonstrated that the analytical estimate of the width of the drying front can be considered as a proxy for the impact that a drying front could have on far-field GPR data. The numerical simulations led to the conclusion that vapor transport in soil resulted in S-shaped soil moisture profiles, which clearly influenced the GPR data. As a result, vapor flow needs to be considered when GPR data are interpreted in a coupled inversion approach. Moreover, the impact of vapor flow on the GPR data was larger for silty than for sandy soils. These Effects on the GPR data provide promising perspectives regarding the use of radars for evaporation monitoring. © Soil Science Society of America 5585 Guilford Rd., Madison, WI 53711 USA. All rights reserved.
机译:我们从理论上研究了当水从土壤表面蒸发时,蒸汽流量对土壤中干燥前沿的影响以及GPR数据。结果表明,将全波GPR模型与水,蒸汽和热流耦合模型集成在一起,可以准确地估算土壤的水力特性。我们研究了在远场探地雷达(GPR)数据上出现在蒸发土壤表面以下的干燥前沿的影响。首先,我们使用分析模型对具有12种不同质地的土壤中干燥前沿的宽度进行了分析。然后,我们对土壤水分蒸发过程中形成的垂直土壤水分剖面进行了数值模拟。我们使用仅考虑液体水流的Richards流量模型和考虑水,蒸气和热流耦合的模型进行了仿真。然后考虑到表观电导率和介电常数的频率依赖性,从模拟的土壤含水量曲线生成GPR信号。分析方法表明,粉质土壤中蒸发阶段I结束时干燥前沿的宽度大于其他土壤质地,而在沙质土壤中较小。我们还证明,干燥前沿宽度的分析估计值可以看作是干燥前沿可能对远场GPR数据产生影响的替代指标。数值模拟得出的结论是,土壤中的水汽输送导致土壤呈S形分布,这明显影响了GPR数据。结果,当在耦合反演方法中解释GPR数据时,需要考虑蒸气流量。此外,粉砂质的水汽流量对GPR数据的影响大于沙质土壤。这些对GPR数据的影响为使用雷达进行蒸发监测提供了前景广阔的前景。 ©美国土壤科学学会5585 Guilford Rd。,Madison,WI 53711美国。版权所有。

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