Microzonation is one of the essential tools in seismology to mitigate earthquake damage by estimating the near-surface velocity structure and developing land usage plans and intelligent building design. The number of microzonation studies increased in the last few years as induced seismicity becomes more relevant, even in low-risk areas. While of vital importance, especially in densely populated cities, most of the traditional techniques suffer from different shortcomings. The microzonation technique presented here tries to reduce the existing ambiguity of the inversion results by the combination of single-station six-component (6C) measurements, including three translational and three rotational motions, and more traditional H/V techniques. By applying this new technique to a microzonation study in the downtown area of Munich (Germany) using an iXblue blueSeis-3A rotational motion sensor together with a Nanometrics Trillium Compact seismometer, we were able to estimate Love and Rayleigh wave dispersion curves. These curves together with H/V spectral ratios are then inverted to obtain P- and S-wave velocity profiles of the upper 100 m. In addition, there is a good correlation between the estimated velocity models and borehole-derived lithology, indicating the potential of this single-station microzonation approach.

微分区是地震学中通过估计近地表速度结构、制定土地使用计划和智能建筑设计来减轻地震破坏的重要工具之一。随着诱发地震活动变得更加相关，即使在低风险地区，微分区研究的数量在过去几年中也有所增加。虽然至关重要，尤其是在人口稠密的城市，但大多数传统技术都存在不同的缺点。这里介绍的微分区技术试图通过结合单站六分量 (6C) 测量（包括三个平移和三个旋转运动）和更传统的 H/V 技术来减少反演结果的现有模糊性。通过使用 iXblue blueSeis-3A 旋转运动传感器和 Nanometrics Trillium Compact 地震仪将这项新技术应用于慕尼黑（德国）市区的微分区研究，我们能够估计 Love 和 Rayleigh 波频散曲线。然后将这些曲线与 H/V 谱比一起反演以获得上部 100 m 的 P 波和 S 波速度剖面。此外，估计的速度模型与钻孔衍生的岩性之间存在良好的相关性，表明这种单站微分区方法的潜力。然后将这些曲线与 H/V 谱比一起反演以获得上部 100 m 的 P 波和 S 波速度剖面。此外，估计的速度模型与钻孔衍生的岩性之间存在良好的相关性，表明这种单站微分区方法的潜力。然后将这些曲线与 H/V 谱比一起反演以获得上部 100 m 的 P 波和 S 波速度剖面。此外，估计的速度模型与钻孔衍生的岩性之间存在良好的相关性，表明这种单站微分区方法的潜力。