首页> 外文期刊>Natural hazards and earth system sciences >Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy
【24h】

Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy

机译:基于故障预测模型的滑坡预警:Mt。德拉萨克斯岩滑坡,意大利北部

获取原文
获取原文并翻译 | 示例
           

摘要

We apply failure forecast models by exploiting near-real-time monitoring data for the La Saxe rockslide, a large unstable slope threatening Aosta Valley in northern Italy. Starting from the inverse velocity theory, we analyze landslide surface displacements automatically and in near real time on different temporal windows and apply straightforward statistical methods to obtain confidence intervals on the estimated time of failure. Here, we present the result obtained for the La Saxe rockslide, a large unstable slope located in Aosta Valley, northern Italy. Based on this case study, we identify operational thresholds that are established on the reliability of the forecast models. Our approach is aimed at supporting the management of early warning systems in the most critical phases of the landslide emergency.
机译:我们通过利用La Saxe岩石滑坡的近实时监测数据来应用故障预测模型,该岩石滑坡威胁着意大利北部的Aosta山谷,是一个不稳定的大斜坡。从反速度理论出发,我们在不同的时间窗口上自动并近实时地分析滑坡表面位移,并应用简单的统计方法来获得估计的破坏时间的置信区间。在这里,我们介绍了La Saxe岩石滑坡获得的结果,该岩石滑坡位于意大利北部的奥斯塔山谷,是一个不稳定的大斜坡。基于此案例研究,我们确定了基于预测模型的可靠性而建立的操作阈值。我们的方法旨在在滑坡紧急状态的最关键阶段支持预警系统的管理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号