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Discrimination of quarry blasts from tectonic microearthquakes in the Hyblean Plateau (Southeastern Sicily)

机译:混合高原(东南部)中的构造微糖爆炸的Quarry爆炸

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摘要

The seismic network set up in the Hyblean Plateau (Southeastern Sicily) in the framework of the POSEIDON project is aimed at the seismic surveillance of the zone, and in particular the identification of faults with enhanced activity. The seismic activity as inferred from the records of the years 1994-1998 showed an apparent concentration of events in the zone between Augusta and Syracuse where important petrochemical facilities are present, with a resulting elevated secondary seismic risk. However, the heterogeneity in the distribution of events with respect to the time of day made us suspect that these seismicity maps are severely biased by artificial events, such as quarry explosions. We distinguished between tectonic earthquakes and quarry blasts by the inspection of waveforms of certain key stations, and by spectral analysis. As a general rule we found that the local tectonic microearthquakes are richer in high frequencies than the quarry blasts. All events which were identified as quarry blasts occurred during the daytime between 08:00 a.m. and 03:00 p.m. GMT and on weekdays from Monday to Friday. The aforementioned concentration of seismicity between Augusta and Syracuse disappeared when filtering out these events. Automatic discrimination was carried out in a straightforward way using Artificial Neural Networks (ANN) in a supervised classification. The application of the ANN to various test data sets gave a success of about 95%. This showed that our results obtained with a ‘visual’ discrimination are mathematically reproducible and not arbitrary.
机译:在Poseidon项目的框架中,在Hyblean高原(东南部)中建立的地震网络旨在瞄准该区域的地震监测,特别是具有增强的活动的故障识别。从1994 - 1998年的记录推断出地震活动表明,奥古斯塔和锡拉丘斯之间的区域的表观浓度,其中存在重要的石化设施,产生高次见的地震风险。然而,关于一天中的时间的事件分布的异质性使我们怀疑这些地震性图是由人工事件(例如采石场爆炸)的严重偏见。我们通过检查某些关键站的波形和谱分析来区分构造地震和采石场之间的爆炸。作为一般规则,我们发现当地构造微型微小频率比采石场爆炸更丰富。所有被识别为采石场爆炸的事件发生在白天在08:00至下午0秒和03:00之间发生。格林尼治格和周一到星期五的工作日。在过滤这些事件时,奥古斯塔和锡拉丘斯之间的上述地震性浓度消失了。在监督分类中使用人工神经网络(ANN)以直接的方式进行自动歧视。 ANN在各种测试数据集的应用得出了约95%的成功。这表明我们以“视觉”歧视获得的结果是数学上可再现的,而不是任意的。

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