National Earthquake Observatory, Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy.
Department of Matematics and Computer Scienze, University of Palermo, 90123 Palermo, Italy.
Sensors (Basel). 2022 Jun 8;22(12):4335. doi: 10.3390/s22124335.
Urban seismic networks are considered very useful tools for the management of seismic emergencies. In this work, a study of the first urban seismic network in central Italy is presented. The urban seismic network, built using MEMS sensors, was implemented in the urban district of Camerino, one of the cities in central Italy with the greatest seismic vulnerability. The technological choices adopted in developing this system as well as the implemented algorithms are shown in the context of their application to the first seismic event recorded by this innovative monitoring infrastructure. This monitoring network is innovative because it implements a distributed computing and statistical earthquake detection algorithm. As such, it is not based on the traces received by the stations from the central server; rather, each station carries out the necessary checks on the signal in real time, sending brief reports to the server in case of anomalies. This approach attempts to shorten the time between event detection and alert, effectively removing the dead times in the systems currently used in the Italian national network. The only limit for an instant alarm is the latency in the tcp/ip packages used to send the short reports to the server. The presented work shows the infrastructure created; however, there is not enough data to draw conclusions on this new early warning approach in the field, as it is currently in the data collection phase.
城市地震网络被认为是地震应急管理的非常有用的工具。在这项工作中,介绍了意大利中部第一个城市地震网络的研究。该城市地震网络使用 MEMS 传感器构建,在意大利中部地震脆弱性最大的城市之一卡梅里诺的市区实施。在将这些系统应用于该创新监测基础设施记录的第一个地震事件的背景下,展示了开发该系统所采用的技术选择和实施的算法。该监测网络是创新的,因为它实现了分布式计算和统计地震检测算法。因此,它不是基于从中央服务器接收的台站记录,而是每个台站实时对信号进行必要的检查,如果有异常情况,就向服务器发送简短报告。这种方法试图缩短事件检测和警报之间的时间,有效地消除了意大利国家网络中当前使用的系统中的死区时间。即时警报的唯一限制是用于将短报告发送到服务器的 tcp/ip 包的延迟。所呈现的工作展示了创建的基础设施;但是,由于它目前处于数据收集阶段,因此没有足够的数据来对该领域的这种新的预警方法得出结论。