论文标题
地壳巨大裂缝作为上次脱气的证据
Crust Macrofracturing as the Evidence of the Last Deglaciation
论文作者
论文摘要
使用机器学习方法来重新考虑芬兰的几项被动地震实验的结果。我们从接收器功能技术的不同阶段创建了数据集，并使用基本的机器学习算法之一对其进行了处理。所有结果都使用$ k $ neart的邻居算法均匀地获得。第一个结果是该地区的Moho深度图。另一个结果是描述了近地面低$ s $波速度层。该地区的北部，南部和中部有三个这样的区域。北部和南部地区的低$ S $波速度可以与地质结构相关。但是，我们将中央低$ s $波速度区域归因于上部1-5公里的大量水饱和裂纹。对该区域的结构的分析使我们得出这样的结论，即巨型裂缝是由最后一次退化引起的。
Machine learning methods were applied to reconsider the results of several passive seismic experiments in Finland. We created datasets from different stages of the receiver function technique and processed them with one of basic machine learning algorithms. All the results were obtained uniformly with the $k$-nearest neighbors algorithm. The first result is the Moho depth map of the region. Another result is the delineation of the near-surface low $S$-wave velocity layer. There are three such areas in the Northern, Southern, and central parts of the region. The low $S$-wave velocity in the Northern and Southern areas can be linked to the geological structure. However, we attribute the central low $S$-wave velocity area to a large number of water-saturated cracks in the upper 1-5 km. Analysis of the structure of this area leads us to the conclusion that macrofracturing was caused by the last deglaciation.
