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Comparison of data from complementary seismograph networks in a mining district

机译:矿区互补地震网络中数据的比较

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South Africa has embarked on the installation of dense local surface networks within a number of mining regions in order to create a unique situation where data from an event can be recorded by three separate networks; at distances of: 500 km by the national seismograph network, 4 km by the local network and 100 m by the mining networks. The data can be used for hazard at the stope and hazard within the region and, thus, trends can be identified in order to assist in the investigation and mitigation of seismic related accidents. This is a first for the country. The Ml5.5 earthquake on 5 August 2014, provided an ideal opportunity for collaboration and comparison between the local surface and mining networks, especially since each network has its own unique challenges due to equipment specifications and capabilities. Thus, such a comparison would help quantify these differences.The locations of the earthquakes, as well as other spectral parameters, obtained by each network were investigated. Many of the parameters were very similar, such as the estimated M_w magnitudes from both the networks. Similarly, the scalar seismic moments offered by both networks are comparable, but with a tendency to underestimate by the mining network in comparison to the local surface network. In addition, the radiated seismic energy estimated by both networks follow the same trend, however, significant scattering of the estimated energy is observed at small values. The spatial patterns of seismicity associated with the aftershocks of the M_L5.5 earthquake were compared and both networks reveal a very similar pattern, however, the mining network delineated the fault with a higher accuracy than the local surface network.
机译:南非已经开始在许多矿区内安装密集的局部表面网络,以便创建一个独特的情况,其中一个单独的网络可以记录来自事件的数据;距离国家地震仪网络距离有500公里,由本地网络4公里,挖掘网络100米。该数据可用于该地区内的迹象和危险,从而可以识别趋势,以协助调查和减轻地震相关事故的调查和减轻。这是国家的第一个。 2014年8月5日的ML5.5地震,为地方表面和采矿网络之间的合作和比较提供了理想的机会,特别是由于每个网络由于设备规格和能力而具有自己独特的挑战。因此,这种比较将有助于量化这些差异。研究了地震的位置以及每个网络获得的其他光谱参数。许多参数非常相似,例如来自网络的估计的M_W大小。类似地,两个网络提供的标量地震时刻是可比的,而是通过挖掘网络与局域网相比低估的趋势。另外,两个网络估计的辐射地震能量遵循相同的趋势,然而,在小值观察到估计能量的显着散射。比较了与M_L5.5地震的余震相关的地震性的空间模式,并且两个网络都揭示了一个非常相似的模式,然而,挖掘网络将故障划算比局域网更高的精度。

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