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HVSR Analysis of Rockslide Seismic Signals to Assess the Subsoil Conditions and the Site Seismic Response

机译:滑坡地震信号的HVSR分析,以评估土层条件和现场地震响应

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Many Italian rock slopes are characterized by unstable rock masses that cause constant rock falls and rockslides. To effectively mitigate their catastrophic consequence thorough studies are required. Four velocimeters have been placed in the Torgiovannetto quarry area for an extensive seismic noise investigation. The study area (with an approximate surface of 200×100 m) is located near the town of Assisi (Italy) and is threatened by a rockslide. In this work, we present the results of the preliminary horizontal to vertical spectral ratio analysis of the acquired passive seismic data aimed at understanding the pattern of the seismic noise variation in case of stress state and/or weathering conditions (fluid content and microfracturing). The Torgiovannetto unstable slope has been monitored since 2003 by Alta Scuola of Perugia and the Department of Earth Sciences of the University of Firenze, after the observation of a first movement by the State Forestry Corps. The available data allowed an extensive comparison between seismic signals, displacement, and meteorological information. The measured displacements are well correlated with the precipitation trend, but unfortunately no resemblance with the seismic data was observed. However, a significant correlation between temperature data and the horizontal to vertical spectral ratio trend of the seismic noise could be identified. This can be related to the indirect effect of temperature on rock mass conditions and further extensive studies (also in the time frequency domain) are required to better comprehend this dependency. Finally, the continuous on-line data reveal interesting applications to provide near-real time warning systems for emerging potentially disastrous rockslides.
机译:许多意大利岩质斜坡的特征是不稳定的岩体,这些岩体会引起不断的岩石坠落和岩石滑坡。为了有效减轻其灾难性后果,需要进行深入研究。四个速度计已放置在Torgiovannetto采石场区域,以进行广泛的地震噪声调查。研究区域(约200×100 m的表面)位于阿西西镇(意大利)附近,并受到石质滑坡的威胁。在这项工作中,我们提出了对获取的被动地震数据的初步水平与垂直频谱比分析的结果,旨在了解在应力状态和/或风化条件(流体含量和微压裂)情况下地震噪声变化的模式。佩鲁贾的阿尔塔·斯库拉(Alta Scuola)和佛罗伦萨大学地球科学系自2003年以来一直对托尔吉万内托不稳定斜坡进行监测,此前国家林业总队观察到他们的第一次活动。现有数据允许在地震信号,位移和气象信息之间进行广泛的比较。测得的位移与降水趋势有很好的相关性,但不幸的是,没有观察到与地震数据的相似性。但是,可以确定温度数据与地震噪声的水平与垂直频谱比率趋势之间的显着相关性。这可能与温度对岩体条件的间接影响有关,需要进行更深入的研究(也在时频域中)以更好地理解这种依赖性。最后,连续的在线数据揭示了有趣的应用,可为正在出现的潜在灾难性的岩石滑坡提供近实时的预警系统。

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