Disastrous earthquakes and hurricanes, in general, are not contemporaneous. Here, we report the 2007 Cerralvo earthquake that had stricken the Gulf of California (GoC) when Hurricane Henriette landed during the aftershock activity. The greatest aftershock struck almost at the same time with Hurricane Henriette inducing panic among the inhabitants of La Paz, Baja California, peninsula. After the earthquake’s main event, the disaster preparedness professionals’ effort focused more on hurricane protocols than on the effects that the earthquake’s aftershocks could have been produced. This decision was probably related to the fact that the southern region of the GoC did not experience an earthquake greater than Mw 6.0 since 1995. The Cerralvo earthquake was unusual for its high number of aftershocks. After a visual inspection of the 24 hr heliplots, we noticed that many aftershocks were missing when we used the short‐term average/long‐term average method. For this reason, we developed an artificial neural network to recognize earthquakes more efficiently. We could not count a precise number of aftershocks during the crisis, but we detected ∼800 earthquakes using standard techniques from September to December. Eventually, a total of 1475 aftershocks were detected with the artificial neural network, contrasting with the low number of aftershocks usually reported in the middle GoC, which on average is about a dozen. Accurate information about the development of the seismic and hurricane phenomena is the most critical issue for authorities and people in general during this unusual experience. We learned that a robust algorithm to detect a huge number of aftershocks and better communication between researchers and authorities is a successful key in these situations.

中文翻译：

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墨西哥拉巴斯2007年9月Cerralvo地震-飓风Henriette危机的见解：利用人工神经网络进行余震检测

一般而言，灾难性地震和飓风不是同时发生的。在这里，我们报告2007年Cerralvo地震，该地震在余震活动中袭击亨利埃特飓风时使加利福尼亚湾（GoC）遭受重创。几乎在同一时间发生了最大的余震，亨利埃特飓风在加利福尼亚州下加利福尼亚州的拉巴斯居民中引发恐慌。在地震的主要事件发生之后，备灾专业人员的工作重点更多地放在飓风方案上，而不是在可能产生地震余震的影响上。该决定可能与以下事实有关：自1995年以来，中国政府的南部地区从未发生过6.0级以上的地震。塞拉尔沃地震的余震数量很高，因此并不寻常。目视检查24小时停机坪后，我们注意到，使用短期平均/长期平均方法时，缺少许多余震。因此，我们开发了一个人工神经网络来更有效地识别地震。我们无法计算出危机期间余震的确切数量，但是我们使用标准技术从9月到12月检测了大约800次地震。最终，通过人工神经网络检测到总共1475次余震，而通常在中部GoC中报告的余震数量很少，平均约为十二次。在这种不寻常的经历中，有关地震和飓风现象发展的准确信息对于当局和一般民众来说是最关键的问题。