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Regional Rainfall Warning System for Landslides with Creep Deformation in Three Gorges using a Statistical Black Box Model

机译:基于统计黑匣子模型的三峡蠕变变形滑坡区域降雨预警系统

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摘要

Establishing an efficient regional landslide rainfall warning system plays an important role in landslide prevention. To forecast the performance of landslides with creep deformation at a regional scale, a black box model based on statistical analysis was proposed and was applied to Yunyang County in the Three Gorges Reservoir area (TGRA), China. The data samples were selected according to the characteristics of the landslide displacement monitoring data. Then, the rainfall criteria applied to different time periods were determined by correlation analysis between rainfall events and landslides and by numerical simulation on landslide movement under certain rainfall conditions. The cumulative rainfall thresholds that were determined relied on the displacement ratio model, which considered landslide scale characteristics and the statistical relationship between daily rainfall data and monthly displacement data. These thresholds were then applied to a warning system to determine a five-level warning partition of landslides with creep deformation in Yunyang County. Finally, landslide cases and displacement monitoring data were used to validate the accuracy of the model. The validation procedure showed that the warning results of the model fit well with actual conditions and that this model could provide the basis for early warning of landslides with creep deformation.
机译:建立有效的区域性滑坡降雨预警系统在滑坡防治中具有重要作用。为了在区域尺度上预测具有蠕变变形的滑坡的性能,提出了一种基于统计分析的黑盒模型,并将其应用于中国三峡库区(TGRA)的云阳县。根据滑坡位移监测数据的特征选择数据样本。然后,通过降雨事件与滑坡之间的相关分析以及在一定降雨条件下的滑坡运动数值模拟,确定了适用于不同时间段的降雨标准。确定的累积降雨阈值取决于位移比模型,该模型考虑了滑坡尺度特征以及每日降雨数据和每月位移数据之间的统计关系。然后将这些阈值应用于预警系统,以确定Yun阳县具有蠕变变形的滑坡的五级预警分区。最后,使用滑坡案例和位移监测数据来验证模型的准确性。验证过程表明,该模型的预警结果与实际情况吻合较好,可以为具有蠕变变形的滑坡预警提供依据。

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