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Understanding the effects of tunneling on buildings by analyzing DInSAR data: the case of the new subway in Rome, Italy

机译:通过分析Dinsar数据来了解隧道对建筑物的影响:意大利罗马新地铁的案例

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Monitoring the displacements of the buildings during the execution of underground works is a very demanding activity in large urban areas contexts, due to the number of structures involved and to the duration of the measurements throughout the realization time. Therefore, the surface deformation detection cannot be based on direct measurements using ground-based sensors, only, and should include technologies that allow a systematic and comprehensive monitoring. The satellite DInSAR technique (Differential Interferometry Synthetic Aperture Radar) provides displacement time series of a large number of measuring points, which can be associated with different portions of a building and are able to reveal differential settlements. Furthermore, the availability of SAR data archived since 1992 allows performing back analyses to evaluate also long-term settlement processes not directly linked to the tunneling works. More recently, the COSMO-SkyMed constellation, developed by the Italian Space Agency (ASI), has provided data at higher space/time resolution, which have been profitably used to detect and follow the evolution of the settlements caused by tunneling excavation works, as in the case of the new metro line in Rome. By applying the advanced DInSAR methodology, we have estimated average rates of displacement for a number of buildings over the Metro C track interested by the subsidence, very likely triggered by tunneling. A classification-based approach was applied by taking into account the displacement rates and the associated statistical error parameters. This provided a tool for the direct identification of the most critical buildings that need further investigations.
机译:监测建筑物的位移在地下作品中的执行是大城区地区的一个非常苛刻的活动,因为涉及的结构数量和整个实现时间的测量持续时间。因此,表面变形检测不能基于使用基于基于地面的传感器的直接测量,并且应包括允许系统和全面监测的技术。卫星Dinsar技术(差动干涉机合成孔径雷达)提供了大量测量点的位移时间序列,其可以与建筑物的不同部分相关联并且能够揭示差动沉降。此外,自1992年以来归档的SAR数据的可用性允许追溯分析来评估不直接链接到隧道工作的长期结算流程。最近,由意大利空间机构(ASI)开发的COSMO-SKEDMEED星座已经在更高的空间/时间分辨率下提供了数据,这些数据已经有利可图地用于检测和遵循隧道挖掘工程造成的定居点的演变,如在罗马的新地铁线的情况下。通过应用先进的dinsar方法,我们对沉降的地铁C轨道上的许多建筑物的平均位移率估计了一些建筑物,很可能是由隧道触发的。通过考虑到位移率和相关统计误差参数来应用基于分类的方法。这提供了一种用于直接识别需要进一步调查的最关键建筑的工具。

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