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Location Performance and Detection Magnitude Threshold of the Romanian National Seismic Network

机译:罗马尼亚国家地震台网的定位性能和探测幅度阈值

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摘要

Romania is an earthquake prone area with a few destructive earthquakes per century. The National Institute for Earth Physics carries out the seismic survey of Romania through the Romanian National Seismic Network (RNSN) consisting of 65 real-time seismic stations. Daily reports and monthly bulletins are delivered after routinely analyzing and processing the recorded data. In the present paper we applied the Seismic Network Evaluation through Simulation method for the RNSN configuration as it was in August 2011 to estimate the background noise level, assess the appropriateness of the velocity model adopted in routine location procedure, evaluate the hypocenter location uncertainty and determine the detection magnitude threshold. Areas of greater (southern Romania) and lower (Carpathians and Apuseni Mountains) background noise within the RNSN are identified by mapping the average power of noise in 1-12 Hz frequency range. The statistical study of the P and S phases residual times allow us to assess the appropriateness of the velocity model used in routine location. Both P- and S-wave velocity models can be optimized to improve the quality of the hypocenter location. As shown by our analysis, the RNSN is able to detect and locate earthquakes with ML magnitude above 2. 5 anywhere on the Romanian territory, except the border areas, such as the Crisana-Maramures seismic source zone. Merging data from both sides of the border significantly improves the quality of hypocenter location in these areas.
机译:罗马尼亚是地震多发地区,每个世纪发生几次破坏性地震。国家地球物理研究所通过由65个实时地震台站组成的罗马尼亚国家地震台网(RNSN)对罗马尼亚进行了地震勘测。在例行分析和处理记录的数据之后,将提供每日报告和每月公告。在本文中,我们以2011年8月的RNSN配置为基础,通过仿真方法进行了地震网络评估,以估计背景噪声水平,评估常规定位程序中采用的速度模型的适用性,评估震中位置的不确定性并确定检测幅度阈值。通过映射1-12 Hz频率范围内的平均噪声功率,可以确定RNSN中较高(罗马尼亚南部)和较低(喀尔巴阡山脉和Apuseni山)背景噪声的区域。 P和S相剩余时间的统计研究使我们能够评估常规定位中使用的速度模型的适当性。可以优化P波和S波速度模型,以提高震源位置的质量。如我们的分析所示,RNSN能够检测和定位ML强度在2. 5以上的罗马尼亚领土上的罗马尼亚领土上的任何地方,边界区域除外,例如Crisana-Maramures地震震源区。合并边界两侧的数据可以显着提高这些地区震中位置的质量。

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