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Numerical Prediction of Vadose Zone Behaviour Influenced by Vegetation

机译：植被影响的Vadose区行为的数值预测

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Bioengineering aspects of native vegetation are currently, and rapidly, being evolved to improve soil stiffness, slope stabilisation, and erosion control. Apart from the reinforcement effect, tree roots establish sufficient matric suction to increasethe shear strength and stiffness of the soil. This paper looks at the way, vegetation influences soil matric suction, shrinkage, and ground settlement. A mathematical model for the rate of root water uptake that considers ground conditions, type of vegetation and climatic parameters, has been developed. Based on this proposed model, the distribution of moisture and the matric suction profile adjacent to the tree are numerically analysed. The model formulation is based on the general effective stress theory of unsaturated soils. Field measurements taken from literature published previously are compared with the authors' numerical model. The predicted results calculated using the soil, plant, and atmospheric parameters contained in the numerical model, compared favourably with the measured results, justifying the assumptions upon which the model was developed.
机译：目前且迅速地发展原生植被的生物工程方面，以改善土壤僵硬，斜坡稳定和腐蚀控制。除了加固效果外，树木根部建立了足够的原料吸力，以增加土壤的剪切强度和刚度。本文看着途径，植被影响土壤原料吸力，收缩和地面沉降。已经开发了一种对根水摄取率进行地面条件，植被类型和气候参数的数学模型。基于该提出的模型，在数值分析了湿度的分布和与树相邻的原始吸入轮廓。模型配方基于不饱和土的一般有效应力理论。从先前发布的文献中采取的现场测量与作者的数值模型进行比较。使用数值模型中包含的土壤，植物和大气参数计算的预测结果，与测量结果相比，有利地相比，证明了模型开发的假设。

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