Study of Anomalous Wavetrains Associated with Long-Period Spheroidal Mode Overtones

与长周期球模泛音相关的反常波列研究

• 批准号: 8709255
• 负责人: Fumiko Tajima
• 金额: $ 4万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-07-15 至 1989-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8709255&HistoricalAwards=false
• 关键词: Study; Anomalous; Wavetrains; Associated; Long

This is a proposal for a new project in which is studied anomalous wavetrains associated with long-period spheroidal mode overtones. The proposed projects include: (A) Observation of anomalous wavetrains using Global Digital Seismograph Network (GDSN) and GEOSCOPE records. We will use a stacking technique (UC contours) to separate modes and examine particle motion tracings to identify anomalies. A compilation of data sets of anomalous wavetrains caused by the path effects is essential. (B) Analysis of path-dependent dispersion relations. Our preliminary study of anomalous surface wave overtones indicates that this problem is spatially dependent on the path. In this case the local dispersion relation does not determine the modes of waves. Instead we should consider an expression that depends on the properties of the mode over its entire range of wave propagation, so we can use the results to construct the overall eigenvalues for the system. (C) Collaboration through a work station network. Our proposed study of surface wave propagation requires a knowledge of the earth's structure which may also be supplied by tectonic, geodetic and geological studies. We will exchange data, information and ideas related to the earth's structure with scientists in different fields through a work station network.

这是一个新项目的建议书， 长周期球模异常波列 泛音 建议的项目包括： 全球数字地震台网异常波列 （GDSN）和GEOSCOPE记录。 我们将使用堆叠技术 (UC轮廓）来分离模式并检查粒子运动 跟踪以识别异常。 数据集汇编， 由路径效应引起的异常波列是必不可少的。 (B)路径相关色散关系的分析。 我们 对异常表面波泛音的初步研究表明， 这个问题在空间上依赖于路径。在这个 局部色散关系不决定模式的情况 波浪的。 相反，我们应该考虑一个表达式， 关于模式在其整个波范围内的特性 传播，因此我们可以使用结果来构建整体 系统的特征值。 (C)通过工作进行合作 车站网络 我们提出的表面波传播的研究 需要了解地球的结构， 由构造学、大地测量学和地质学研究提供。 我们将 交换与地球有关的数据、信息和想法 与不同领域的科学家通过一项工作 车站网络