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在南加州寻找隐藏的地震
Zachary E Ross1, Daniel T Trugman2, Egill Hauksson3
1Seismological Laboratory, California Institute of Technology, Pasadena, CA 91125, USA. zross@gps.caltech.edu.
概括
一种新的地震检测方法在南加州发现了181万次地震, 这大大提高了我们对断层区域几何和地震核形成过程的理解.
科学领域:
- 地震学
- 地震科学
- 地质学
背景情况:
- 地震目录通常低于较小的事件,因为信号忠实度的限制.
- 由于力量与规律的关系,较小的地震比较频繁.
- 现有的地震网络往往错过了大量的微型地震.
研究的目的:
- 通过检测以前错过的微型地震来克服当前地震目录的局限性.
- 创建一个更大,更详细的南加州地震目录.
- 为了更深入地了解断层区域结构,地震核和触发机制.
主要方法:
- 在南加州地震网络的波形档案中应用模板匹配检测技术.
- 处理大量的地震数据以识别大量的小地震事件.
主要成果:
- 创建了一个前所未有的181万次地震目录, 比以前的目录增加了十倍.
- 显著改善了较小的地震事件的检测,提供更丰富的细节.
- 有关深度和前震行为断层区域几何学的新观察.
结论:
- 增强的地震目录为了解地震核和触发提供了关键数据.
- 这份详细的地震目录将促进地震科学和断层分析的未来研究.
- 模板匹配是发现隐藏的地震性的一种强大技术.
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