在重复的微型地震的复发间隔中,深度上的断层滑动率来自重复的微型地震
1Earth Sciences Division, Lawrence Berkeley National Laboratory, and Berkeley Seismological Laboratory, University of California, Berkeley, CA 94720, USA.
概括
研究人员分析了加利福尼亚州帕克菲尔德的微型地震模式,以估计深度断层滑动率. 这种新的方法揭示了与地震活动相关的滑动率的变化,为监测断层区域提供了一种新方法.
科学领域:
- 地质物理学 地质物理学
- 地震学 地震学
- 地震科学 地震科学 地震科学
背景情况:
- 经常出现的微型地震序列表现出独特的属性.
- 了解深度滑动率对于地震危险评估至关重要.
研究的目的:
- 开发和应用一种方法来推断使用微型地震时间间隔的深度滑动率.
- 为了研究沿着活跃断层的滑动速率的空间和时间变化.
主要方法:
- 来自加利福尼亚州帕克菲尔德的11年微地震性记录的分析.
- 利用类似的,反复出现的微型地震序列之间的时间间隔.
- 推断的滑动率与地震活动和独立的滑动措施的相关性.
主要成果:
- 确定了滑动率的系统空间和时间变化.
- 观察到的滑动率变化与地震活动同步.
- 该方法与其他断层区域滑动测量结果一致.
结论:
- 微地震序列可用于推断深层断层滑动率.
- 这种现象为在地震断层区域中监测应变场提供了潜在的方法.
- 需要进一步的研究来证实对其他活跃故障的一般适用性.
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