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首页> 外文期刊>Hydrology and Earth System Sciences >Modelling shallow landslide susceptibility by means of a subsurface flow path connectivity index and estimates of soil depth spatial distribution
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Modelling shallow landslide susceptibility by means of a subsurface flow path connectivity index and estimates of soil depth spatial distribution

机译:利用地下流径连通性指数和土壤深度空间分布估算对浅层滑坡敏感性进行建模

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Topographic index-based hydrological models have gained wide use to describe the hydrological control on the triggering of rainfall-induced shallow landslides at the catchment scale. A common assumption in these models is that a spatially continuous water table occurs simultaneously across the catchment. However, during a rainfall event isolated patches of subsurface saturation form above an impeding layer and their hydrological connectivity is a necessary condition for lateral flow initiation at a point on the hillslope. Here, a new hydrological model is presented, which allows us to account for the concept of hydrological connectivity while keeping the simplicity of the topographic index approach. A dynamic topographic index is used to describe the transient lateral flow that is established at a hillslope element when the rainfall amount exceeds a threshold value allowing for (a) development of a perched water table above an impeding layer, and (b) hydrological connectivity between the hillslope element and its own upslope contributing area. A spatially variable soil depth is the main control of hydrological connectivity in the model. The hydrological model is coupled with the infinite slope stability model and with a scaling model for the rainfall frequency-duration relationship to determine the return period of the critical rainfall needed to cause instability on three catchments located in the Italian Alps, where a survey of soil depth spatial distribution is available. The model is compared with a quasi-dynamic model in which the dynamic nature of the hydrological connectivity is neglected. The results show a better performance of the new model in predicting observed shallow landslides, implying that soil depth spatial variability and connectivity bear a significant control on shallow landsliding.
机译:基于地形指数的水文模型已被广泛用于描述流域尺度上降雨诱发的浅层滑坡触发的水文控制。这些模型中的一个常见假设是流域内同时发生空间连续的地下水位。然而,在降雨事件中,障碍层上方形成了孤立的地下饱和斑块,并且它们的水文连通性是在山坡上某个点进行侧向流动的必要条件。 在这里,提出了一个新的水文模型,它使我们能够解释水文连通性的概念,同时保持地形指数方法的简单性。动态地形指数用于描述当降雨量超过阈值时在山坡要素上建立的瞬时侧向水流,从而允许(a)在障碍层上方形成栖息的地下水位,以及(b)之间的水文连通性山坡元素及其自身的上坡贡献区域。空间可变的土壤深度是模型中水文连通性的主要控制因素。水文模型与无限边坡稳定性模型以及降雨频率-持续时间关系的比例模型相结合,以确定在意大利阿尔卑斯山三个集水区引起不稳定性所需的临界降雨的返回期。深度空间分布可用。该模型与准动态模型进行了比较,在准动态模型中忽略了水文连通性的动态性质。结果表明,新模型在预测观察到的浅层滑坡方面具有更好的性能,这表明土壤深度的空间变异性和连通性对浅层滑坡具有重要的控制作用。

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