Toward the Rapid Seismic Assessment of Landslides in Coastal Alaska

E. Karasözen, M. West
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Abstract

As glaciers retreat, landslide-driven tsunamis pose mounting threats across the high latitudes. The recent landslide tsunamis in Alaska and Greenland have spurred efforts to forecast and monitor these events. We use nine large landslides spanning southern Alaska to test an approach for rapid detection and characterization. We use long-period seismograms recorded within three minutes of the start of a landslide to estimate the location and approximate volume. In the presence of good seismic network coverage, location errors are no more than a few kilometers, and detection limits are well below 1  Mm3. The combination of detection time, location, and size provides the ability to rapidly determine whether a landslide occurred close to open water and, if so, its tsunamigenic potential. Our approach is rapid enough to support National Oceanic and Atmospheric Administration (NOAA)’s five-minute tsunami warning goal. The historical analysis we present provides the foundation and parameter tuning for a prototype system that is now providing real-time detections.
阿拉斯加沿海地区滑坡的快速地震评估
随着冰川退缩,山体滑坡引发的海啸对整个高纬度地区构成了越来越大的威胁。最近在阿拉斯加和格陵兰岛发生的滑坡海啸促使人们努力预报和监测这些事件。我们利用横跨阿拉斯加南部的九个大型滑坡来测试快速检测和特征描述的方法。我们使用在滑坡开始三分钟内记录的长周期地震图来估计滑坡的位置和大致体积。在地震网络覆盖良好的情况下,位置误差不超过几公里,探测极限远低于 1 立方米。将探测时间、位置和体积结合起来,就能快速确定滑坡是否发生在开阔水域附近,如果是,就能确定其引发海啸的可能性。我们的方法非常迅速,足以支持美国国家海洋和大气管理局(NOAA)的五分钟海啸预警目标。我们介绍的历史分析为现在提供实时检测的原型系统提供了基础和参数调整。
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