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Iterative approach to modeling subsurface stormflow based on nonlinear, hillslope-scale physics

机译:基于非线性山坡尺度物理的地下暴雨流建模迭代方法

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摘要

Soil water transport in small, humid, upland catchments is often dominated by subsurface stormflow. Recent studies of this process suggest that at the plot scale, generation of transient saturation may be governed by threshold behavior, and that transient saturation is a prerequisite for lateral flow. The interaction between these plot scale processes yields complex behavior at the hillslope scale. We argue that this complexity should be incorporated into our models. We take an iterative approach to developing our model, starting with a very simple representation of hillslope rainfall-runoff. Next, we design new virtual experiments with which we test our model, while adding more structural complexity. In this study, we present results from three such development cycles, corresponding to three different hillslope-scale, lumped models. Model1 is a linear tank model, which assumes transient saturation to be homogeneously distributed over the hillslope. Model2 assumes transient saturation to be heterogeneously distributed over the hillslope, and that the spatial distribution of the saturated zone does not vary with time. Model3 assumes that transient saturation is heterogeneous both in space and in time. We found that the homogeneity assumption underlying Model1 resulted in hillslope discharge being too steep during the first part of the rising limb, but not steep enough on the second part. Also, peak height was underestimated. The additional complexity in Model2 improved the simulations in terms of the fit, but not in terms of the dynamics. The threshold-based Model3 captured most of the hydrograph dynamics (Nash-Sutcliffe efficiency of 0.98). After having assessed our models in a lumped setup, we then compared Model1 to Model3 in a spatially explicit setup, and evaluated what patterns of subsurface flow were possible with model elements of each type. We found that Model1 tended to generate relatively smooth, steady state-like spatial patterns. Model3 generated more complex patterns, in which lateral flow could be concurrently increasing and decreasing in different parts of the hillslope. We realize that the concepts proposed in this manuscript do not represent the only way in which nonlinear dynamics may be implemented in a model of subsurface stormflow. However, we believe that development of new model structures and the subsequent confrontation of model results with existing preconceptions will lead to a better understanding of subsurface stormflow and catchment runoff dynamics.
机译:在潮湿的高地小流域中,土壤水的运输通常以地下暴雨为主。对该过程的最新研究表明,在样地范围内,瞬态饱和的产生可能受阈值行为的控制,并且瞬态饱和是横向流动的前提。这些地块规模过程之间的相互作用在山坡规模上产生了复杂的行为。我们认为这种复杂性应纳入我们的模型中。我们采用迭代方法来开发模型,首先非常简单地表示山坡降雨径流。接下来,我们设计新的虚拟实验来测试模型,同时增加更多的结构复杂性。在这项研究中,我们提出了三个这样的开发周期的结果,分别对应于三个不同的坡度规模集总模型。 Model1是线性储罐模型,它假设瞬态饱和度均匀分布在山坡上。模型2假设瞬态饱和度在山坡上是异构分布的,并且饱和区的空间分布不会随时间变化。 Model3假设瞬态饱和在空间和时间上都是异质的。我们发现,模型1的同质性假设导致斜坡上升过程中第一部分的坡度流量过大,而第二部分的坡度不足。另外,峰高被低估了。 Model2中的附加复杂性从拟合的角度改善了仿真,但在动力学方面却没有改善。基于阈值的Model3捕获了大多数水文动力学(Nash-Sutcliffe效率为0.98)。在集总设置中评估了模型后,我们在空间显式设置中将Model1与Model3进行了比较,并评估了每种类型的模型元素可能实现的地下流动模式。我们发现Model1倾向于生成相对平稳,类似稳态的空间模式。 Model3生成了更复杂的模式,其中在山坡的不同部分横向流量可以同时增加和减少。我们意识到,本文提出的概念并不代表在地下暴雨流模型中可以实现非线性动力学的唯一方法。但是,我们认为,开发新的模型结构以及随后的模型结果与现有先入之见的冲突将使人们对地下雨流和集水径流动力学有更好的了解。

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