Soil compaction leads to an increase in bulk density (ρb) and a shift in the pore-size distribution towards smaller pores. This in turn changes the soil hydraulic properties (SHP), i.e., the water retention curve (WRC) and the hydraulic conductivity curve (HCC). Up to now, attempts to model the effect of altered ρb on SHP has been limited to SHP models that account only for capillary water, neglecting water stored and transmitted in adsorbed films (non-capillary water). We combine a recently developed model for compaction effects on SHP with a SHP model system, which accounts for both capillary and non-capillary water (Peters-Durner-Iden model system - PDI). Due to a plausible course of the PDI-WRC towards oven dryness and a physically based prediction scheme of the PDI-HCC based on the WRC, the new combined approach can fully predict both soil hydraulic functions of compacted soils, even with limited information. The new approach is analyzed via a sensitivity analysis and tested with a large dataset from a silty arable soil. A comparison with an established prediction approach showed that our new approach has slightly better predictive performance within the measurement range and a more plausible course in the dry range. For our field data, the new approach performed best when only 2 of the water retention parameters were scaled based on the known ρb. One of them determines the adsorptive water content and the other the shift of the capillary retention function on suction axis. Both parameters can be considered model independent, indicating that the new approach may not need calibration for each capillary retention model within the PDI model system.

中文翻译：

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使用有限信息模拟压实对土体水力特性的影响


土壤压实导致堆积密度 （ρb） 增加，孔径分布向更小的孔隙移动。这反过来又改变了土壤水力特性 （SHP），即保水曲线 （WRC） 和水力传导率曲线 （HCC）。到目前为止，模拟 ρb 改变对 SHP 影响的尝试仅限于 SHP 模型，这些模型仅考虑了毛细管水，而忽略了吸附膜（非毛细管水）中储存和传输的水。我们将最近开发的 SHP 压实效应模型与 SHP 模型系统相结合，该系统同时考虑了毛细水和非毛细水（Peters-Durner-Iden 模型系统 - PDI）。由于 PDI-WRC 朝着烘箱干燥的合理过程和基于 WRC 的 PDI-HCC 基于物理的预测方案，新的组合方法可以完全预测压实土壤的土壤水力功能，即使信息有限。新方法通过敏感性分析进行分析，并使用来自粉质耕地土壤的大型数据集进行测试。与已建立的预测方法进行比较表明，我们的新方法在测量范围内的预测性能略好，在干范围内更合理。对于我们的现场数据，当只有 2 个保水参数基于已知的 ρb 进行缩放时，新方法表现最佳。其中一个决定吸附水含量，另一个决定毛细管保留函数在吸入轴上的变化。这两个参数都可以认为是与模型无关的，这表明新方法可能不需要对 PDI 模型系统中的每个毛细管保留模型进行校准。