基于空间地质数据的地震警报由空间时间信息转换学习空间时间信息转换
Yuyan Tong1, Renhao Hong1, Ze Zhang2
1School of Mathematics, South China University of Technology, Guangzhou 510640, China.
概括
一个新的无模型框架,即实时时空信息转换学习 (RSIT),使用全球导航卫星系统数据提供地震预警. RSIT识别了地力学系统中的关键过渡,增强了地震危险评估.
科学领域:
- 地质物理学 地质物理学
- 地震科学 地震科学 地震科学
- 非线性动力学是一种非线性动力学.
背景情况:
- 由于复杂,非线性和非静止的地力学过程,地震预测很困难.
- 现有的方法与地震数据的高维,实时性质作斗争.
研究的目的:
- 开发一个无模型的框架,用于扩展地震预警的非线性和非静止时间序列.
- 利用时空信息 (STI) 转换来改进地震危险分析.
主要方法:
- 开发了实时空间时间信息转换学习 (RSIT) 框架.
- 使用STI将高维的全球导航卫星系统 (GNSS) 数据转换为单维的动态.
- 利用转变动态的不可预测性和不稳定性标准来检测关键转变.
主要成果:
- RSIT有效地向地力学系统中潜在的关键转变发出信号.
- 在4年多的时间里,从多个容易发生地震的地区获得的地力学数据上证明了有效性.
- 在地震早期预警信号检测方面超越现有方法.
结论:
- 通过分析空间和时间动态,RSIT提供了一种新的地震预警方法.
- 该框架利用非线性动态和延迟嵌入理论进行可靠的预测.
- RSIT显示了提高地震危险评估和公共安全的前景.
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