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在2023年MW 7.8土耳其地震之前,与水泥采石相关的低频震类似的发作
Zahra Zali1, Patricia Martínez-Garzón2, Grzegorz Kwiatek2
1Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany. zali@gfz-potsdam.de.
人工智能在2023年卡拉曼马拉斯地震之前检测到不寻常的地震信号. 这些低频信号与地震附近的工业活动有关,而不是构造变化.
科学领域:
- 地质物理学 地质物理学
- 地震学 地震学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 的进步提高了在自然灾害之前检测微妙的地震信号的性能.
- 研究低频,低振幅的地震信号对于理解地震前体是至关重要的.
研究的目的:
- 分析在土耳其发生2023年MW 7.8级卡拉曼马拉斯地震之前的低频地震信号.
- 使用人工智能,区分地震信号的构造和人为来源.
- 为了了解纳尔利断层周围的地震活动.
主要方法:
- 利用深度神经网络从地震信号谱图中提取特征.
- 使用无监督的集群来识别暂时的地震模式.
- 分析了主震发生前六个月的地震数据.
主要成果:
- 在电力冲击发生之前,发现了低频震类信号的增加.
- 将这些信号定位为位于纳尔利断层附近的水泥厂的人为活动,而不是构造源.
- 开发了一个扩展的地震性目录,揭示了该地区的组合构造学和人类学过程.
结论:
- 这项研究强调了验证人工智能检测到的地震模式起源的必要性.
- 人类活动可以产生各种各样的地震信号,这些信号可能被误解.
- 纳尔利断层地区的地震性是由于自然构造力和人类工业活动的混合而产生的.
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