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Turkey and adjacent area seismicity forecasts from earthquake inter-event time mean ratio statistics

机译:火鸡和邻近地区地震性从地震发生互生的时间平均比率统计

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The alarm-based forecasting model for earthquakes called moment ratio (MR) is retrospectively tested on Turkey and adjacent area seismicity. This model uses the ratio of the mean inter-event time over the variance as a precursory alarm function to forecast future earthquakes in a given region. In a former study, the MR model was successfully tested in forecasting large earthquakes with magnitude M7, occurred in Japan. In this study, it is tested on Turkey and adjacent area seismicity using lower magnitude thresholds, namely by learning from M5 events, to forecast earthquakes with magnitude M6. For this purpose, a composite earthquake data file is compiled using Kandilli Observatory and Earthquake Research Institute Regional Earthquake and the Tsunami Monitoring Center (KOERI-RETMC) provided catalogs, for the period 1900-2016, and the SHARE European Earthquake Catalog (SHEEC) for the historical period 1000-1899. In this catalog, earthquakes are listed using surface magnitude scale Ms. The time periods used in training and testing are selected by taking into consideration the completeness of the magnitude. Finally, Molchan error diagrams are used to evaluate the forecasting performance of the MR method in practice using a retrospective test. Obtained results are presented as standard MR forecasting maps showing the overall forecasts and optimal maps showing high alarm areas with minimal miss and alarm rates. In addition, the relative intensity (RI) forecasting method is applied to compare different results. Results show MR forecasts outscoring random guessing with good performance compared to RI forecasts. The forecasting maps point to a small high alarm area situated along the Hellenic arc subduction zone east of Crete Island.
机译:基于警报的地震预测模型称为矩比(MR)在土耳其和邻近地区地震性上回顾性测试。该模型使用平均事件帧间的比率在差异中作为预先预测给定区域中的未来地震的差异。在前面的研究中,MR Model在预测大地震中成功测试,其中M7的大地震发生在日本。在这项研究中,使用较低的阈值,即通过从M5事件中学习来测试土耳其和邻近区域地震性,以预测幅度M6的地震。为此目的,使用Kandilli天文台和地震研究所区域地震和海啸监测中心(Koeri-Retmc)编制了复合地震数据文件,为1900-2016期间提供了目录,以及分享欧洲地震目录(SHEEC)历史时期1000-1899。在本目录中,使用表面幅度刻度列出地震。通过考虑幅度的完整性来选择训练和测试中使用的时间段。最后,Molchan错误图用于评估MR方法在实践中使用回顾性测试的预测性能。获得的结果作为标准先生预测地图呈现,显示总体预测和最佳地图,显示出具有最小未命中和报警速率的高报警区域。另外,应用相对强度(RI)预测方法来比较不同的结果。结果表明,与RI预测相比,MR预测随机猜测具有良好表现。预测地图指向沿着克里特岛东部的Hellenic Arc电影区的小型高报警区域。

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