Abstract

The objectives of this research are prediction of soil drainage curve using Assouline and Or (2014) adjusted soil drainage model and comparison of the predicted results with experimental data on small and large scales. This research is conducted for 18 small soil columns under different salinity level of irrigation water using different scenarios. In scenario A, water from saturated water and water of 0.1 (A-1) and 15 (A-2) bar matric head assumed as the mobile water, D_∞, and input to Assouline and Or model to estimate weighted average of hydraulic conductivity, K_m with fitting. In scenario B, K_m is computed using water characteristic curve and D_∞ is obtained using fitted model. Finally, in scenario C, D_∞ and K_m are predicted using fitted model. All experiments were repeated in the presence of plant for small soil columns and columns with 2.7 m depth as well. Results showed that the model prediction is influenced by irrigation water salinity, study time and depth scales. However, soil and water physical properties and their interactions can partially explain the results and the flexibility of Assouline and Or model is appropriate, we suspected to the validity of physical meaning of model parameters and, the certainty of model predictions for the field capacity, FC, concept.

中文翻译：

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表示土壤排水曲线的组合模型或调整模型的评估

摘要

本研究的目标是使用Assouline和Or（2014）调整后的土壤排水模型预测土壤排水曲线，并将预测结果与小规模和大规模实验数据进行比较。本研究针对不同灌溉水盐度水平的18个小土柱，采用不同的方案。在情形A中，从饱和水和0.1（A-1）和15（A-2）栏基质头假定为移动水，水d _∞，并输入到阿苏利纳和Or模型来估计加权平均水力传导率的，K _m，适合。在方案乙，ķ_米使用水特性曲线和计算d _∞使用拟合模型获得。最后，在场景Ç，d _∞和ķ_米使用拟合的模型预测。在植物存在的情况下，针对小土壤柱和深度为2.7 m的柱重复进行所有实验。结果表明，模型预测受灌溉水盐度，研究时间和深度尺度的影响。但是，土壤和水的物理性质及其相互作用可以部分解释结果，而Assouline和Or模型的灵活性是适当的，我们怀疑模型参数的物理意义是否正确，以及对田间持水量，FC的模型预测的确定性，概念。