使用弹性重力信号即时跟踪地震增长
Andrea Licciardi1, Quentin Bletery2, Bertrand Rouet-Leduc3,4
1Université Côte d'Azur, IRD, CNRS, Observatoire de la Côte d'Azur, Géoazur, Sophia Antipolis, France. andrea.licciardi@geoazur.unice.fr.
Nature
|May 11, 2022
概括
快速弹性重力信号 (PEGS) 提供实时地震强度估计,克服传统地震波系统的局限性. 通过分析以前被认为是噪音的信号,
科学领域:
- * 地震学和地质学
- * 地震科学
- * 海预警系统
背景情况:
- * 基于地震波的标准预警系统难以对大地震 (M > 8) 进行快速的震级估计.
- * 地测方法提供了改进,但由于地震波的传输时间而面临不确定性和延迟.
- 快速弹性重力信号 (PEGS),以光速传播,为实时监控提供了潜在的解决方案.
研究的目的:
- * 评估使用PEGS进行实时地震强度估计的可行性.
- 开发和测试用于即时跟踪地震裂变的深度学习模型.
- 展示PEGS在海预警方面的潜力.
主要方法:
- 在合成和真实地震数据上训练的深度学习算法的开发.
- 在日本使用宽带地震计记录的快速弹性重力信号 (PEGS).
- * 分析通常被忽视为噪声的地震图部分.
主要成果:
- 证明PEGS可以用于实时的地震增长即时跟踪.
- * 深度学习模型成功地跟踪了地震源时间函数的真实数据.
- 验证了PEGS用于"真实实时"监测大地震破裂的演变.
结论:
- * PEGS提供了一种新有效的地震大小评估方法.
- 开发的深度学习方法利用以前未使用的地震数据进行关键的洞察.
- 这项技术有可能显著提高海预警能力.
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