Abstract In this study, we derive a large-scale Vs30 map for Italy starting from the global terrain geomorphological classification based on normalized slope, local convexity, and surface texture (after Iwahashi et al., 2018 ). The novelty of the present work is the integration of a large amount of data from the Italian seismic microzonation dataset, consisting in about 35,000 borehole logs and 11,300 Vs profiles. The results of our analysis suggest that the geomorphological classes are correlated to subsoil lithologies and Vs30 values more than surface lithological types (after Amanti et al., 2008 ). As already done in Japan ( Matsuoka and Wakamatsu, 2006 ), Greece ( Stewart et al., 2014 ), Central and Eastern North America ( Parker et al., 2017 ), and Pacific Northwest Region of North America ( Ahdi et al., 2017 ), we found a proxy dependence of Vs30 from slope gradient and elevation through a lognormal linear regression model for each geomorphological class. A stepwise method allowed us to give meaning and statistical robustness to the regression model dependencies. The polygons inconsistent with the Iwahashi et al. (2018) approach (e.g., Meso-Cenozoic carbonate units of Apulian block and Hyblean Plateau related to the foreland domain) were replaced with the polygons of the lithological map ( Amanti et al., 2008 ) and the associated Vs30 lognormal average values. Therefore, a hybrid raster Vs30 map was created with a spatial resolution of 50 × 50 m. The comparison with other previous maps shows how the forecast improves in terms of both accuracy and precision. For these reasons, the new Vs30 proxy-based map for Italy based on the seismic microzonation dataset represents a useful tool for improving several applications: ShakeMaps, stochastic event based hazard map, total hazard map, assessment of coseismic instabilities, seismic risk assessment for spatially distributed emergency and resilience systems. Vs30 raster maps and supplementary material are available in the Research Data (doi: 10.17632/8458tgzc73.1 ).

中文翻译：

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基于地震微带数据集的意大利新 Vs30 地图

摘要 在本研究中，我们从基于归一化坡度、局部凸度和表面纹理的全球地形地貌分类出发（在 Iwahashi 等人之后，2018 年）导出了意大利的大比例 Vs30 地图。当前工作的新颖之处在于整合了来自意大利地震微带数据集的大量数据，包括大约 35,000 个钻孔测井和 11,300 个 Vs 剖面。我们的分析结果表明，地貌类别与底土岩性和 Vs30 值的相关性高于地表岩性类型（在 Amanti 等人之后，2008 年）。正如在日本（Matsuoka 和 Wakamatsu，2006 年）、希腊（Stewart 等人，2014 年）、北美中部和东部（Parker 等人，2017 年）和北美太平洋西北地区（Ahdi 等人，2017 年）所做的那样。 2017), 我们通过每个地貌类别的对数正态线性回归模型发现了 Vs30 对坡度和高程的代理依赖性。逐步方法使我们能够为回归模型依赖性赋予意义和统计鲁棒性。多边形与 Iwahashi 等人的不一致。(2018) 方法（例如，与前陆域相关的阿普利亚地块和海布尔高原的中新生代碳酸盐单元）被岩性图的多边形（Amanti 等，2008）和相关的 Vs30 对数正态平均值所取代。因此，创建了空间分辨率为 50 × 50 m 的混合栅格 Vs30 地图。与之前其他地图的比较显示了预测在准确性和精确度方面的改进情况。由于这些原因，基于地震微分区数据集的意大利新的 Vs30 代理地图代表了改进多种应用的有用工具：ShakeMaps、基于随机事件的危险图、总危险图、同震不稳定性评估、空间分布式紧急情况和弹性的地震风险评估系统。Vs30 栅格地图和补充材料可在研究数据 (doi: 10.17632/8458tgzc73.1 ) 中找到。