U-Trans:用于地震波形表示和增强下游地震任务的基础模型
Omar M Saad1, Yangkang Chen2, Tariq Alkhalifah3
1Division of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. engomar91@gmail.com.
Scientific reports
|March 10, 2026
概括
一个新的基础模型通过学习地震波形特征,显著增强了地震监测系统 (EQS). 这提高了地震检测,位置和震级估计,以提高公共安全.
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:
- 地震监测系统 (EQS) 对于地震危险评估和理解故障机制至关重要.
- 准确的地震目录对于公共安全和基础设施弹性至关重要.
研究的目的:
- 开发一个基础模型,以提高地震监测系统的性能.
- 加强从地震波形中提取特征,用于下游地震分析.
主要方法:
- 采用U-Trans架构进行自主监督学习的两阶段框架.
- 培训超过200万个来自各种开源数据集的三元地震图.
- 使用带有卷积变压器的U-Net编码解码器用于隐性空间中的特征提取.
主要成果:
- 基础模型有效地从地震波形中提取信息特征.
- 整合潜伏特征显著改善下游任务,如地震阶段选择,地震位置和震级估计.
- 潜空间分析显示与P波和S波到达时间有很强的相关性.
结论:
- 拟议的基础模型提供了一个强大的方法来增强地震监测能力.
- U-Trans架构和自我监督学习对于提取关键的地震特征是有效的.
- 这一进步支持更准确的地震危险评估和改进的公共安全措施.
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