Broadband Seismological Observations of Aftershocks of the September 16, 2015 Mw 8.3 Illapel Earthquake, Chile

2015年9月16日智利伊拉佩尔8.3级地震余震宽带地震观测

• 批准号: 1600890
• 负责人: Raymond Russo
• 金额: $ 10万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-12-01 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1600890&HistoricalAwards=false
• 关键词: Broadband; Seismological; Observations; Aftershocks; September

The PIs proposed to deploy 20 broadband seismic stations for one year in the rupture zone of the Mw 8.3 Illapel, Chile earthquake. The instruments will enable locating and characterizing thousands of aftershocks from the large earthquake. This data can be used to better understand the Nazca-South America plate interface as well as the processes behind the megathrust rupture and postseismic activity. The ability to capture the high seismicity rate immediately after the earthquake will enable both a finer picture of the subduction structure, as well improve our understanding of seismic hazard in the region. The vigorous aftershock series now occurring in the wake of the 2015 Illapel, Chile Earthquake provides a rare opportunity to study syuduction zone segmentation, as delineated by adjacent megathrust ruptures. While the aftershock seismicity rate is high, researchers can take advantage to illuminate the Nazca and South American interplate interface, looking for evidence of differences in slip regime as discernible from aftershock locations and characteristics such as focal mechanisms, slip speed and spectral and attenuation characteristics. The deployment will produce a high quality, open access data set that will capture time-limited phenomena.

PI提议在MW 8.3 Illapel，智利地震的MW 8.3破裂区域部署20个宽带地震站。这些乐器将使大地震中的数千个余震能够定位和表征。这些数据可用于更好地理解纳斯卡南美国板块界面以及大型破裂和后视性活动背后的过程。地震后立即捕获高地震速率的能力将既可以使俯冲结构的图片更美好，从而提高了我们对该地区地震危害的理解。智利地震现在发生在2015年Illapel之后的剧烈余震系列，这为研究Syuduction区分割提供了难得的机会，如相邻的大型巨型破裂所描述的那样。虽然余震的地震速率很高，但研究人员可以利用利用纳斯卡和南美板界面的界面，从余震位置和特征（例如焦点机制，滑移速度和光谱和频谱和衰减特性）中找到差异的证据。部署将产生高质量的开放访问数据集，以捕获时间限制现象。