RAPID: Quake-Catcher Network: Rapid Aftershock Mobilization Program (QCN RAMP)

RAPID：Quake-Catcher 网络：快速余震动员计划 (QCN RAMP)

• 批准号: 1035919
• 负责人: Jesse Lawrence
• 金额: $ 2.09万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1035919&HistoricalAwards=false
• 关键词: RAPID; Quake; Catcher; Network; Rapid

This rapid response proposal will install 50 strong motion sensors to investigate the aftershock sequence resulting from the February 27, 2010 M 8.8 earthquake in Chile. Aftershock sequences are transitory, with the rate and magnitude of aftershocks decaying rapidly with time, requiring prompt deployment of instrumentation to capture the sequence. The PIs intend to use new computational techniques and lowcost MEMS sensors implemented by the Quake-Catcher Network to install 50 strong motion tri-axial accelerometers in the region.The proposed work will benefit earthquake seismology and its application to rupture dynamics, strong ground motion generation, and near-source strong ground motion amplification effects. The data produced by this proposal may help enable us to determine how aftershocks interact with each other. The data may also help demonstrate if large aftershocks significantly differ from the main shock and/or each other in the rupture properties and slip distribution. The rupture occurred in the vicinity of the largest earthquake ever recorded (M9.5 on May 22, 1960), making this region particularly important to understanding earthquake rupture properties and aftershock distributions.Additional benefit will result from testing this new technology in a rapid response scenario. If this experiment is successful, future experiments with ongoing improvements to sensors and our distributed computing network will allow for extremely dense and rapid aftershock deployments. Through the work proposed here we hope to better understand the limitations and benefits of using a distributed computing network for rapid aftershock investigations and investigate the feasibility of utilizing such a deployment for earthquake advanced alert in the future.

这项快速反应计划将安装50个强震传感器，以调查2010年2月27日智利8.8级地震造成的余震序列。余震序列是暂时的，余震的速度和强度随着时间的推移迅速衰减，需要迅速部署仪器来捕捉序列。PIS计划使用新的计算技术和由地震捕手网络实施的低成本MEMS传感器，在该地区安装50个强震三轴加速度计。拟议的工作将有助于地震地震学及其在破裂动力学、强地面运动产生和近源强地面运动放大效应方面的应用。这一提议产生的数据可能有助于我们确定余震如何相互作用。这些数据还可能有助于证明大余震是否与主震和/或彼此在破裂性质和滑移分布方面存在显著差异。破裂发生在有记录以来最大的地震(1960年5月22日M9.5级)附近，这使得该地区对于了解地震破裂性质和余震分布特别重要。在快速反应情景中测试这项新技术将带来额外的好处。如果这次实验成功，未来对传感器和我们的分布式计算网络进行不断改进的实验将允许极其密集和快速的余震部署。通过这里提出的工作，我们希望更好地了解使用分布式计算网络进行快速余震调查的局限性和好处，并研究在未来使用这种部署进行地震高级警报的可行性。