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A METHOD FOR PREDICTING LANDSLIDES ON A BASIN SCALE USING WATER CONTENT INDICATOR

机译:一种利用水含量指标预测流域尺度滑坡的方法

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Generally, the methods of predicting landslides can be divided into two types - statistical model andnumerical model. Compared with the statistical model, the numerical model can provide more detail andprecise result, but is difficult to employ on basin-scale because of time-consuming calculation. This paperproposed a novel method, which was based on numerical model and multiple regressions as well as usingthe slope unit as the slope-stability analysis target, to predict the landslides on a basin scale. This methodused a new warning indicator, critical water content (Wcr), which is derived from numerical model andhad a clear physical meaning. The new method also had great performance on calculation to predict theoccurring time and the locations of landslides. The heavy rainfall disaster occurring in the Shizugawabasin in 2012, located in Uji, Kyoto, was simulated by the new method. The results showed that the newmethod can not only predict the landslides but also estimate the runoff of the slopes on a basin scale.
机译:通常,预测滑坡的方法可分为两种类型:统计模型和统计模型。 数值模型。与统计模型相比,数值模型可以提供更多的细节和信息。 精确的结果,但是由于耗时的计算而难以在流域规模上应用。这篇报告 提出了一种新的方法,该方法基于数​​值模型和多元回归以及 以坡度单位作为边坡稳定性分析的目标,以预测盆地规模的滑坡。这个方法 使用了一个新的警告指标,临界水含量(Wcr),它是根据数值模型得出的, 具有明确的物理意义。新方法在计算方面也具有出色的性能,可以预测 发生时间和滑坡位置。静川县发生强降雨灾害 利用这种新方法对位于京都宇治的2012年盆地进行了模拟。结果表明,新 该方法不仅可以预测滑坡,而且可以估算流域尺度上的斜坡径流。

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