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Developing a reliable strategy to infer the effective soil hydraulic properties from field evaporation experiments for agro-hydrological models

机译:制定可靠的策略,通过田间蒸发试验推导农业水文学模型的有效土壤水力学特性

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摘要

The Richards equation has been widely used for simulating soil water movement. However, the take-up of agro-hydrological models using the basic theory of soil water flow for optimizing irrigation, fertilizer and pesticide practices is still low. This is partly due to the difficulties in obtaining accurate values for soil hydraulic properties at a field scale. Here, we use an inverse technique to deduce the effective soil hydraulic properties, based on measuring the changes in the distribution of soil water with depth in a fallow field over a long period, subject to natural rainfall and evaporation using a robust micro Genetic Algorithm. A new optimized function was constructed from the soil water contents at different depths, and the soil water at field capacity. The deduced soil water retention curve was approximately parallel but higher than that derived from published pedo-transfer functions for a given soil pressure head. The water contents calculated from the deduced soil hydraulic properties were in good agreement with the measured values. The reliability of the deduced soil hydraulic properties was tested in reproducing data measured from an independent experiment on the same soil cropped with leek. The calculation of root water uptake took account for both soil water potential and root density distribution. Results show that the predictions of soil water contents at various depths agree fairly well with the measurements, indicating that the inverse analysis is an effective and reliable approach to estimate soil hydraulic properties, and thus permits the simulation of soil water dynamics in both cropped and fallow soils in the field accurately.
机译:理查兹方程已被广泛用于模拟土壤水分运动。但是,利用土壤水流的基本理论来优化灌溉,肥料和农药操作的农业水文学模型仍然很少。这部分是由于难以在田间规模上获得土壤水力特性的准确值。在这里,我们使用一种强大的微遗传算法,根据自然降雨和蒸发条件下,测量休耕地中土壤水的分布随深度的变化,从而采用反演技术得出有效的土壤水力特性。从不同深度的土壤含水量和田间持水量构造了一种新的优化函数。对于给定的土壤压头,推导的土壤保水曲线大致平行,但高于从已发布的脚踩传递函数得出的曲线。由推导的土壤水力学性质计算出的水含量与测量值非常吻合。推导的土壤水力特性的可靠性在复制数据的过程中进行了测试,该数据是通过独立实验在韭菜种植的同一土壤上测得的。根系吸水量的计算考虑了土壤水势和根系密度分布。结果表明,不同深度的土壤含水量预测值与实测值吻合得很好,这表明逆分析是一种估算土壤水力性质的有效且可靠的方法,因此可以模拟作物和休耕地的土壤水分动态。田间土壤准确。

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