论文标题
法国芒顿的地震危险评估：考虑到半经验方法和机器学习方案的地形场地效应分区
Seismic hazard assessment in Menton, France: Topographical site effect zoning considering a semi-empirical approach and a Machine Learning scheme
论文作者
论文摘要
地形的存在会影响地震地面运动，并可能导致强大的放大，通常在丘陵和浮雕的顶部。山丘的不断增加需要准确估算这些影响，即使在中等地震性的领域也是如此。 EuroCodes8提供的简化系数不取决于频率，并且低估了许多情况下的放大，这证明了基于易于访问的数据的新方法的开发。芒顿市位于法国东南部，阿尔卑斯山和利古里亚盆地之间，是最暴露的大都市之一。我们提出了一项针对芒顿地区应用的地形效应的研究。使用频率缩放的曲率方法，在频率频段上计算出地形放大，从dem和剪切波速度的平均值中计算出。然后，我们建议采用自动聚类方法将放大曲线分类为具有相似属性的五组。然后，我们推断出Menton地区地形效应的第一个微针图图。
The presence of topography influences the seismic ground motion and may result in strong amplifications, generally at the top of hills and reliefs. The increasing urbanization of hills requires an accurate estimation of these effects even in areas of moderate seismicity. The simplified coefficients provided by the Eurocodes8 do not depend on the frequency and underestimate the amplification in many situations, which justifies the development of new methods based on easily accessible data. The city of Menton, located in the southeast of France, between the Alps and the Ligurian basin, is one of the most exposed metropolitan cities. We propose a study of topographic effects applied to the Menton area. Topographic amplification is calculated, on a wide frequency band, using the Frequency-Scaled Curvature method, from a DEM and an average value of the shear wave velocity. We then propose to apply an automatic clustering approach to classify the amplification curves into five groups with similar properties. We then deduce a first microzonation map of the topographic effects in the Menton area.
