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首页> 外文期刊>Pure and Applied Geophysics >Seismic Source Classification by Means of a Sonogram- Correlation Approach: Application to Data of the RSM Seismic Network (Central Italy)
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Seismic Source Classification by Means of a Sonogram- Correlation Approach: Application to Data of the RSM Seismic Network (Central Italy)

机译：借助超声图相关方法对震源进行分类：在RSM地震台网数据中的应用（意大利中部）

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摘要

In this paper, we apply a new sonogram correlation approach for seismic source classification. In order to test the technique, we use the waveforms recorded by 6 among 16 of the stations of the Rete Sismometrica Marchigiana (RSM) network, relevant to the vertical component of 365 earthquakes that occurred in the analyzed area from April 1996 until September 1999. All the sonograms of each station are cross-correlated in a single station procedure and the calculated degrees of resemblance are used to classify the events by means of a bridging technique. The results obtained with the single-station approach are integrated into a network classification. We identified three families in the investigated area. Once the efficiency of the method is tested, we analyzed the families obtained for the selected subset of events. Considering the temporal and the spatial distribution of the events forming each family, we classified them as quarry blasts. This classification, even if relevant to a subset of earthquakes occurring in Central Italy, modifies the present knowledge of the seismicity distribution in the area and allows estimation of the errors affecting the hypocenter locations provided by the RSM network. An extension of this new technique to the whole Central Italy earthquake catalog promises an interesting review of the seismicity in the area.
机译：在本文中，我们将一种新的声波图相关方法应用于地震震源分类。为了测试该技术，我们使用Rest Sismometrica Marchigiana（RSM）网络的16个台站中的6个所记录的波形，该波形与1996年4月至1999年9月在该分析地区发生的365次地震的垂直分量有关。每个站点的所有超声图在单个站点过程中互相关，并且通过桥接技术将计算出的相似度用于对事件进行分类。使用单站方法获得的结果将集成到网络分类中。我们在调查区域确定了三个家庭。一旦测试了该方法的效率，我们便会分析针对所选事件子集获得的族。考虑到形成每个家庭的事件的时间和空间分布，我们将它们归类为采石场爆炸。即使与意大利中部发生的地震子集相关，这种分类也改变了该地区地震活动性分布的现有知识，并允许估计影响RSM网络提供的震中位置的误差。这项新技术扩展到整个意大利中部地震目录，有望对该地区的地震活动进行有趣的回顾。

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