A spatially-random network model by using measured pore morphology was then set up to simulate the pore scale flow processes, and to predict the soil water retention curve near saturation.

在此基础上建立了基于土壤孔隙形态学特征的随机网络模型，在孔隙尺度模拟了土壤中的水分运动过程，并预测了近饱和土壤水分特征曲线。

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Based on the modified nonlinear algebraic stress model for turbulent flow, a closed non-linear multiple time scale model is established.

在双时间尺度紊流模型的基础上，对线性涡粘性模型进行了修正，建立了封闭的非线性双时间尺度紊流模型。

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Finally, separation flow, secondary flow and multi-scale eddy structure are simulated, it indicates that SST model can give a good prediction of turbulence in the draft tube.

计算获得了分离流、二次流和多尺度旋涡结构，表明SST模型能很好地预测尾水管内的湍流流动。

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