The ability to calculate the seismogram of an earthquake at a local or regional scale is critical but challenging for many seismological studies because detailed knowledge about the 3D heterogeneities in the Earth’s subsurface, although essential, is often insufficient. Here, we present an application of compressed sensing technology that can help predict the seismograms of earthquakes at any position using data from past events randomly distributed in the same area in Jinggu County, Yunnan, China. This first data‐driven approach for calculating seismograms generates a large dataset in 3D with a volume encompassing an active fault zone. The input number of earthquakes comprises only 1.27% of the total output events. We use the output data to create a database intended to find the best‐matching waveform of a new event by applying an earthquake search engine, which instantly reveals the hypocenter and focal‐mechanism solution.

中文翻译：

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利用压缩感知技术构建云南未来地震的地震图

对于许多地震学研究而言，在本地或区域范围内计算地震地震图的能力至关重要，但具有挑战性，因为有关地球地下3D非均质性的详细知识（虽然必不可少）通常是不够的。在这里，我们介绍了一种压缩传感技术的应用，该技术可以使用来自云南景谷县同一地区的随机分布的过去事件的数据来帮助预测任何位置的地震地震图。这是第一种由数据驱动的计算地震图的方法，可生成3D大型数据集，其体积包含活动断层带。地震的输入次数仅占总地震事件的1.27％。