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利用廉价微机电系统(MEMS)传感器对远震和中震进行特征描述:应用于2020年12月29日佩特林贾M6.3级地震事件

Characterization of Distant and Moderate Earthquakes with Inexpensive MEMS Sensors: Application to the M 6.3, 29th December 2020, Petrinja Event.

作者信息

Cascone Valeria, Boaga Jacopo

机构信息

Department of Geosciences, University of Padova, Via G. Gradenigo 6, 35131 Padova, Italy.

Isamgeo Italia s.r.l., Via Arno 1, 21021 Angera, Italy.

出版信息

Sensors (Basel). 2022 May 30;22(11):4166. doi: 10.3390/s22114166.

Abstract

In this work, we evaluate the suitability of a new MEMS sensor prototype, called ASX1000 (ADEL s.r.l., Modena, Italy), for the monitoring of distant and moderate seismic events. This device is an inexpensive capacitive accelerometer with a relatively low level of instrumental noise; it can record both local and far seismic events. An experimental network built with ASX1000 MEMS, located in northern Italy, was able to record the M 6.3 Petrinja earthquake that occurred in December 2020; it had an epicentral distance of more than 350 km. We retrieved the strong motion parameters (PGA, pseudo-absolute velocity, and pseudo-absolute spectral acceleration) from the acceleration time histories recorded by the MEMS sensors. The obtained parameters were compared with the ones obtained by the closer high-quality seismometers, belonging to the INGV National Seismic Network. The comparison to the highest-quality sensors confirms a reasonable agreement of the inferred parameters. This work suggests that-in the near future-MEMS sensors could be adopted to integrate the existing seismic network. A denser coverage of sensors can sample more accurately the seismic wavefield, taking into account the large spatial variability of local geology and the relative differences in seismic response.

摘要

在这项工作中,我们评估了一种名为ASX1000(意大利摩德纳的ADEL s.r.l.公司)的新型MEMS传感器原型用于监测远距离和中等强度地震事件的适用性。该设备是一种价格低廉的电容式加速度计,仪器噪声水平相对较低;它能够记录本地和远处的地震事件。一个由ASX1000 MEMS构建的实验网络位于意大利北部,它能够记录2020年12月发生的震级为6.3级的佩特里尼亚地震;震中距离超过350公里。我们从MEMS传感器记录的加速度时间历程中提取了强震动参数(峰值加速度、拟绝对速度和拟绝对谱加速度)。将获得的参数与属于意大利国家地球物理与火山研究所(INGV)国家地震网络的距离更近的高质量地震仪所获得的参数进行了比较。与最高质量传感器的比较证实了推断参数的合理一致性。这项工作表明,在不久的将来,MEMS传感器可用于整合现有的地震网络。考虑到当地地质的巨大空间变异性和地震响应的相对差异,更密集的传感器覆盖可以更准确地对地震波场进行采样。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d1/9185540/fd34fbdfbc70/sensors-22-04166-g001.jpg

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