Automatic and rapid imaging of earthquake rupture process is a difficult task but critical for postearthquake response and possible tsunami early warning. We have developed an automatic system for finite‐fault inversion based on the iterative deconvolution and stacking (IDS) approach, in which we screen the waveforms and update the fault size automatically. Strong‐motion seismograms are used in offline tests to invert for the rupture processes of 34 significant earthquakes in 2008–2017 in and around Japan with magnitudes M_W ≥ 6.0 occurred onshore and M_W ≥ 6.5 offshore. Rupture model of an earthquake, including moment magnitude, source time function, slip distribution, rupture velocity, and stress drop, is obtained in ~1.5 min on a desktop PC. The moment magnitudes we obtained are consistent with those published by other agencies. The slip distributions, rupture directions, and velocities also agree well with those released by the Japan Meteorological Agency. In all test cases, our results show that the automatic inversion of strong‐motion data can provide reliable major source parameters without manual revision, which demonstrates great potential for emergency response and tsunami early warning purposes. The automatic inversion system developed in this work can also be used to build catalogs of finite‐fault models for moderate to strong earthquakes in other areas where the moment tensor solutions and near‐field waveform data are available.

中文翻译：

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在日本及周边地区发生重大地震的有限断层模型中，强运动记录的自动反演

对地震破裂过程进行自动和快速成像是一项艰巨的任务，但对地震后的响应和可能的海啸预警至关重要。我们基于迭代解卷积和叠加（IDS）方法开发了一种用于有限故障反演的自动系统，其中我们筛选波形并自动更新故障大小。强运动地震在脱机试验中使用反转为34级显著地震2008-2017在日本和围绕与量值的破裂过程中号_W¯¯  ≥6.0发生陆上和中号_W¯¯ ≥6.5离岸。在台式计算机上约1.5分钟内即可获得地震破裂模型，包括矩量级，震源时间函数，滑动分布，破裂速度和应力降。我们获得的力矩幅度与其他机构发表的力矩幅度一致。滑动分布，破裂方向和速度也与日本气象厅发布的数据非常吻合。在所有测试案例中，我们的结果表明，强运动数据的自动反演可以提供可靠的主要源参数，而无需人工修改，这表明了应急和海啸预警目的的巨大潜力。