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Spectral discrimination between mining blasts and natural earthquakes: Application to the vicinity of Tunbilek mining area, Western Turkey

机译:矿山爆炸与自然地震之间的光谱鉴别:在土耳其西部Tunbilek矿区附近的应用

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The objective of our paper is to develop time and frequency techniques to characterize mine or quarry blasts and discriminate these events from natural earthquakes. We are examining well documented mine blasts in the Kütahya Province in western Turkey that is an ideal case study since there are frequent confirmed routine mining blasts at Tunçbilek mining area. Particularly, Turkey’s richest lignite reserve was detected with the statistical analysis include Tunçbilek region that has been undertaken by Kekovali et al. (2011). In this study, we used time and frequency domain analysis (S/P wave amplitude peak ratio, complexity, spectral ratio) of a set of known earthquake and mining blasts seismograms of 520 seismic events (2.3 ≤ Md ≤3.0) from Kandilli Observatory Earthquake Research Institute and National Earthquake Monitoring Center (KOERI-NEMC) seismic catalog between 2009 to 2011. Out of a total 520 records, 344 are related to probable mining blasts and 176 to earthquakes. However, a new approach estimated on Pe (power of event) value comprising of three variables (S/P wave amplitude peak ratio, complexity, spectral ratio) that can be suitable identification of quarry-mining blasts in the the seismic catalogs, is presented and discussed for Tunçbilek region in the study. In the discrimination analysis between the earthquakes and mining blasts showed that Pe analysis comprising of three variables (S/P wave amplitude peak ratio, complexity, spectral ratio) was used together to increase the reliability instead of the S/P wave amplitude peak ratio or complexity and spectral ratio in time-frequency domain. The classsification was obtained with acceptably high results of 99.6% using Pe analysis. For a future study, we suggested that this algorithm could be applied to different earthquake-mining regions that was developed independently in this study. Because of the presence of quarry-mining blasts among the earthquakes recorded by the KOERI-NEMC seismic network, the decontamination of the catalog is essential for a reliable seismic hazard assessment and understanding the seismogenic processes of Turkey.
机译:本文的目的是开发时间和频率技术来表征矿山或采石场的爆炸,并从自然地震中区分这些事件。我们正在土耳其西部的库塔赫亚省检查有据可查的矿山爆炸,这是一个理想的案例研究,因为在Tunç bilek矿区经常有常规矿山爆炸被确认。特别是,通过Kekovali等人进行的统计分析,发现了土耳其最富褐煤储量,其中包括Tunç bilek地区。 (2011)。在这项研究中,我们使用了时空频域分析(S / P波振幅峰值比率,复杂度,频谱比率),对一组已知的520个地震事件(2.3≤ Md≤ 3.0)的地震和采矿爆炸地震图进行了分析。天文台地震研究所和国家地震监测中心(KOERI-NEMC)在2009年至2011年之间的地震目录。在总共520条记录中,有344条与可能的采矿爆炸有关,而176条与地震有关。但是,提出了一种基于Pe(事件的幂)值估计的新方法,该方法包括三个变量(S / P波振幅峰值比,复杂度,频谱比),可以适合识别地震目录中的采石场爆炸。并在研究中针对Tunç bilek地区进行了讨论。在地震与采矿爆炸之间的判别分析中,Pe分析由三个变量(S / P波振幅峰值比,复杂度,频谱比)共同使用,以提高可靠性,而不是S / P波振幅峰值比或时频域的复杂度和频谱比。使用Pe分析获得了99.6%的高可接受结果。对于将来的研究,我们建议该算法可以应用于在本研究中独立开发的不同的地震采矿区域。由于KOERI-NEMC地震网络记录的地震中存在采石场爆炸,因此目录的去污对可靠的地震危险性评估和了解土耳其的地震发生过程至关重要。

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