Surface-Wave Data Products from USArray

USArray 的表面波数据产品

• 批准号: 1460081
• 负责人: Goran Ekstrom
• 金额: $ 10.02万
• 依托单位: Columbia University
• 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: 2015-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460081&HistoricalAwards=false
• 关键词: Surface; Wave; Data; Products; USArray

The project will use data from the 10-year deployment of the seismic stations in the USArray Transportable Array across the lower 48 states to map seismological properties of the top 100 km of the crust and shallow mantle beneath the continent. The focus of the project is a comprehensive analysis of seismic surface waves using traditional and modern methods, including the analysis of ambient seismic noise, which are seismic waves caused by human activity, ocean waves, and atmospheric phenomena such as wind. The project will generate high-resolution maps of different properties of the rocks in the crust and mantle that will facilitate continent-wide interpretation of the structure and tectonic evolution of North America.The seismic data collected by nearly 2000 sensors distributed across the continent will be used to determine (1) maps of short-period (5-40 sec) Love and Rayleigh wave speed using inter-station cross correlation of seismic noise; (2) maps of longer-period (25-125 sec) Love and Rayleigh wave speed using two-station and mini-array techniques; and (3) maps of local elastic Rayleigh wave amplification at longer periods using a differential-amplitude technique. Quantitative comparisons of the data with model-based predictions will be used to demonstrate the consistency between results of different researchers, and identify differences that motivate further investigation.

该项目将利用USAray移动式阵列地震台站10年来在美国48个州部署的数据，绘制地壳顶部100公里和大陆下方浅地幔的地震学特性。该项目的重点是使用传统和现代方法对地震面波进行综合分析，包括分析环境地震噪声，这些噪声是由人类活动、海浪和风等大气现象引起的地震波。该项目将绘制地壳和地幔岩石不同性质的高分辨率地图，这将有助于对北美大陆的结构和构造演化进行全大陆范围的解释，分布在整个大陆的近2000个传感器收集的地震数据将用于确定：（1）短周期和高分辨率的地壳和地幔岩石图，（5-40秒）使用地震噪声的台站间互相关的Love和Rayleigh波速;（2）较长周期的图（25-125秒）使用双站和小型阵列技术的Love和Rayleigh波速;（3）利用微分振幅技术绘制了较长周期的局部弹性瑞利波放大图。数据与基于模型的预测的定量比较将用于证明不同研究人员结果之间的一致性，并确定激励进一步调查的差异。