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Towards an Automatic Monitoring System of Infrasonic Events at Mt. Etna: Strategies for Source Location and Modeling

机译:迈向山峰次声事件自动监测系统。 Etna:源定位和建模策略

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Active volcanoes characterized by open conduit conditions generate sonic and infrasonic signals, whose investigation provides useful information for both monitoring purposes and studying the dynamics of explosive processes. In this work, we discuss the automatic procedures implemented for a real-time application to the data acquired by a permanent network of five infrasound stations running at Mt. Etna volcano. The infrasound signals at Mt. Etna consist in amplitude transients, called infrasound events. The adopted procedure uses a multi-algorithm approach for event detection, counting, characterization and location. It is designed for an efficient and accurate processing of infrasound records provided by single-site and array stations. Moreover, the source mechanism of these events can be investigated off-line or in near real-time by using three different models: (1) Strombolian bubble; (2) resonating conduit and (3) Helmholtz resonator. The infrasound waveforms allow us to choose the most suitable model, to get quantitative information about the source and to follow the time evolution of the source parameters.
机译:以开放管道条件为特征的活火山产生声波和次声波信号,其调查为监测目的和研究爆炸过程的动力学提供了有用的信息。在这项工作中,我们将讨论为实时应用实现的自动程序,这些程序是对由在山上运行的五个次声台站组成的永久网络所获取的数据进行实时处理的。埃特纳火山。在山的次声信号。 Etna包含振幅瞬变,称为次声事件。所采用的过程使用多算法方法进行事件检测,计数,表征和定位。它旨在高效,准确地处理由单站点和阵列站提供的次声记录。此外,可以通过三种不同的模型离线或近实时地研究这些事件的来源机制:(1)斯特龙博朗泡沫; (2)谐振导管和(3)亥姆霍兹谐振器。次声波形使我们可以选择最合适的模型,以获取有关源的定量信息,并跟踪源参数的时间演变。

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