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Numerical solution of the Richards equation based catchment runoff model with dd-adaptivity algorithm and Boussinesq equation estimator

机译:基于Richards方程的径流径流模型的dd自适应算法和Boussinesq方程估计的数值解

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摘要

This paper presents a pseudo-deterministic catchment runoff model based on the Richards equation model - the governing equation for subsurface flow. The subsurface flow in a catchment is described here by two-dimensional variably saturated flow (unsaturated and saturated). The governing equation is the Richards equation with a slight modification of the time derivative term, as considered e.g. by Neuman. The nonlinear nature of this problem appears in the unsaturated zone only, so it was possible to make use of adaptive domain decomposition algorithm. However delineating of the saturated zone boundary is a nonlinear computationally expensive issue. The simple one-dimensional Boussinesq equation was used here as a rough estimator of the saturated zone boundary. With this estimate the adaptive domain decomposition could always start with an optimal subdomain split, and thus it is now possible to avoid solving huge systems of linear equations in the initial iteration level.With this measure it is possible to construct an efficient two-dimensional pseudodeterministic catchment runoff model. Finally, the model is tested against real data originating from the Modrava 2 experimental catchment, Czech Republic.
机译:本文介绍了基于Richards公式模型的伪确定性集水径流模型 - 地下流量的控制方程。这里通过二维可变饱和的流动(不饱和和饱和)来描述集水器中的地下流动。控制方程是Richards方程,随着时间衍生术语的微小修改,如例如:由Neuman。此问题的非线性性质仅出现在不饱和区中,因此可以利用自适应域分解算法。然而,饱和区边界的描绘是非线性计算昂贵的问题。这里使用简单的一维BOUSSINESQ等式作为饱和区边界的粗糙估计器。通过该估计,自适应域分解可以始终以最佳的子域分开来开始,因此现在可以避免在初始迭代级别求解庞大的线性方程系统。在这种测量中,可以构建有效的二维假序列化集水径流模型。最后,该模型用于源自Modrava 2实验集水捷克共和国的实际数据。

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