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2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays

机译:2016年意大利中部地震:GPS信号与低成本分布式MEMS阵列之间的比较

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Modern seismic ground-motion sensors have reached an excellentperformance quality in terms of dynamic range and bandwidth resolution. Theweakest point in the recording of seismic events remains spatial samplingand spatial resolution, due to the limited number of installed sensors. Asignificant improvement in spatial resolution can be achieved by the use ofnon-conventional motion sensors, such as low-cost distributed sensors arraysor positioning systems, capable of increasing the density of classicalseismic recording networks. In this perspective, we adopted micro-electromechanical system (MEMS) sensors to integrate the use of standardaccelerometers for moderate-to-strong seismic events. In addition, weanalyse high-rate distributed positioning system data that also record soilmotion. In this paper, we present data from the 2016?Central Italyearthquakes as recorded by a spatially dense prototype MEMS array installedin the proximity of the epicentral area, and we compare the results to thesignal of local 1s GPS stations. We discuss advantages and limitations ofthis joint approach, reaching the conclusion that such low-cost sensors andthe use of high rate GPS signal could be an effective choice for integratethe spatial density of stations providing strong-motion parameters.
机译:在动态范围和带宽分辨率方面,现代地震地面运动传感器已经达到了出色的性能。由于安装的传感器数量有限,地震事件记录中最弱的地方仍然是空间采样和空间分辨率。通过使用非常规运动传感器(例如低成本的分布式传感器阵列或定位系统),可以提高空间分辨率,从而可以提高经典地震记录网络的密度。从这个角度来看,我们采用了微机电系统(MEMS)传感器来整合标准加速度计的使用,以应对中到强地震事件。此外,我们还分析了高速分布式定位系统数据,这些数据还记录了土壤运动。在本文中,我们介绍了2016年意大利中部地震的数据,该数据由安装在震中区域附近的空间密集的原型MEMS阵列记录,并将结果与​​本地1s GPS站的信号进行了比较。我们讨论了这种联合方法的优点和局限性,得出的结论是,此类低成本传感器和高速率GPS信号的使用可能是整合提供强运动参数的站点空间密度的有效选择。

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