We present a methodology that uses crowdsourced detections as an initial location to obtain fast and reliable hypocenter parameters for felt earthquakes using arrival-time data from the GEOFON Program. We derive selection criteria for issuing an alert message using a 3-year-long training set from the trial runs at the European-Mediterranean Seismological Centre (EMSC) to identify accurate event locations at a high confidence level. Since an event may have several crowdsourced detections, we also develop a methodology dealing with multiple triggers. We validate the selection criteria using real-time processing of recent data and demonstrate that 95% of the selected events are within 50 km distance from the traditional seismic location published by the EMSC. Since CsLoc remains essentially a seismic location algorithm, the selection criteria measure the quality of the seismological network coverage used in the location, not the method itself. We show that our methodology provides accurate locations much faster than those published by conventional seismic methods. On average, the EMSC CsLoc service can provide rapid and accurate locations within a minute after the occurrence of a felt earthquake, thus it can provide timely and accurate information on a felt earthquake to the civil protection services and the general public.

我们提出了一种方法，该方法使用众包检测作为初始位置，从而使用GEOFON计划的到达时间数据获得毡状地震的快速可靠的震源参数。我们使用欧洲-地中海地震中心（EMSC）进行的为期3年的培训，得出了发出警报消息的选择标准，以高置信度确定准确的事件位置。由于一个事件可能有多个众包检测，因此我们还开发了一种处理多个触发器的方法。我们使用最新数据的实时处理来验证选择标准，并证明95％的选定事件位于EMSC发布的传统地震位置的50公里范围内。以来定位仍然是地震定位算法，选择标准衡量的是该位置使用的地震网络覆盖范围的质量，而不是方法本身。我们表明，与传统地震方法相比，我们的方法提供的准确位置要快得多。平均而言，EMSC定位 该服务可以在发生毛毡地震后的一分钟内提供快速准确的位置信息，从而可以向民防部门和公众提供有关毛毡地震的及时，准确的信息。