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Modeling macropore seepage fluxes from soil water content time series by inversion of a dual permeability model

机译:利用双渗透模型反演模拟土壤含水量时间序列的大孔隙渗流通量

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摘要

Dual permeability models are widely used to simulate water fluxes and solute transport in structured soils. However, so far obtaining necessary data for model calibration is a problem due to the large set of unconstrained parameters. Therefore, this study presents a simplified 1D dual permeability model whose structure is similar to the MACRO model together with a calibration scheme that allows constraining the parameters using time series of soil water content. The inversion scheme consists of four consecutive steps: First, the parameters of three different water retention functions were assessed using vertical soil water content profiles assuming hydraulic equilibrium. Second, the soil sorptivity and diffusivity functions were estimated from Boltzmann-transformed soil water content data of a drying period. Third, the parameters governing macropore flow were determined using the most dynamic part of the soil water content time series during the first 12 h after a precipitation event. The model was calibrated using data of artificial, homogeneous and shallow soils from mesocosms. The resulting retention functions predicted similar values as pedotransfer functions apart from for very dry conditions. The predicted soil water content time series were in good agreement with measurements at 5 and 12 cm soil depth. Predicted macropore seepage fluxes exhibited high uncertainty and differed between water retention functions, but average predictions were close to measurements for two of the three water retention functions.
机译:双重渗透率模型被广泛用于模拟结构化土壤中的水通量和溶质运移。然而,由于大量无约束的参数,到目前为止,获得用于模型校准的必要数据是一个问题。因此,本研究提出了一种简化的一维双重渗透率模型,其结构与MACRO模型相似,并提供了一种校准方案,该方案允许使用土壤水分含量的时间序列来约束参数。反演方案包括四个连续的步骤:首先,使用垂直的土壤水分剖面(假设水力平衡)评估了三种不同的保水函数的参数。其次,根据玻尔兹曼变换的干燥期土壤含水量数据估算了土壤的吸附度和扩散度函数。第三,控制大孔流量的参数是在降水事件发生后的前12小时内,使用土壤水分时间序列中最动态的部分确定的。使用来自中观的人工,均质和浅层土壤的数据对模型进行了校准。除了非常干燥的条件外,所得的保留函数预测的值与pedotransfer函数的值相似。预测的土壤水分时间序列与在5和12 cm土层深度处的测量值非常吻合。预测的大孔渗流通量显示出较高的不确定性,并且在保水功能之间存在差异,但平均预测值接近于三个保水功能中的两个的测量值。

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