Resolving the Degree of Chemical Heterogeneities in the Mantle by Dual Bootstrap Stack

通过双引导堆栈解决地幔化学异质性程度

• 批准号: 1416842
• 负责人: Jun Korenaga
• 金额: $ 12.31万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1416842&HistoricalAwards=false
• 关键词: Resolving; Degree; Chemical; Heterogeneities; Mantle

On Earth, surface plates are continuously recycled into the deep mantle by subduction, but it is still very poorly understood how quickly these subducted plates are mixed and homogenized by mantle convection. Observational constraints are limited in spite of innumerable speculations on the chemical state of the mantle. Previous attempts to deterministically detect small-scale heterogeneities in the mantle have relied on scattered waves with relatively high amplitudes, which can be identified in original seismic data before stacking. This limitation on signal strength leads to a bias in our detection capability, restricting us to spatially extensive features such as lateral discontinuities and dipping reflectors. Recently, a powerful signal detection technique called dual bootstrap stack (DBS) has been developed. Built with rigorous statistical tests for signal significance and coherency, DBS can achieve a clean separation of signal and noise. Unlike conventional nonlinear stacks, it can detect signals even when the signal-to-noise ratio (S/N) is lower than unity, and compared to simple linear stack, the number of traces required for unambiguous signal detection is reduced by up to two orders of magnitude. The proposed project aims to conduct a systematic test of this new signal detection technique by revisiting published data and to better understand its potential for producing convincing observational constraints on the chemical state of the mantle. More specifically, we will revisit the study of Kaneshima and Helffrich [2010], who reported an extensive study on small-scale heterogeneities in the mid-lower mantle beneath the circum-Pacific area. The existing DBS-based migration code will be modified to handle S-to-P scattering for this purpose. The number of events they used is: 23 for the Izu-Bonin region, 11 for the Kuril region, 28 for the Fiji region, and 12 for the South America. In addition to S-to-P scattering, which was exploited by this previous study, we will also seek evidence for P-to-P scattering, and if time permits, we will investigate other events to see how reproducible detected scatterers are, in light of DBS-based teleseismic migration.

在地球上，地表板块通过俯冲作用不断地循环进入深部地幔，但人们对这些俯冲板块在地幔对流作用下混合和均匀化的速度仍知之甚少。尽管对地幔的化学状态有无数的推测，但观测的限制是有限的。以前确定探测地幔小尺度非均质性的尝试依赖于相对高振幅的散射波，这些散射波可以在原始地震数据中识别出来，然后再进行叠加。这种对信号强度的限制导致了我们探测能力的偏差，限制了我们在空间上广泛的特征，如横向不连续和倾斜反射。近年来，人们发展了一种强大的信号检测技术——双自举堆栈（dual bootstrap stack， DBS）。通过对信号显著性和相干性进行严格的统计测试，DBS可以实现信号和噪声的清晰分离。与传统的非线性堆叠不同，它可以在信噪比（S/N）低于1的情况下检测信号，并且与简单的线性堆叠相比，无二义信号检测所需的走线数量减少了两个数量级。拟议的项目旨在通过重新审视已发表的数据，对这种新的信号检测技术进行系统测试，并更好地了解其对地幔化学状态产生令人信服的观测约束的潜力。更具体地说，我们将重新审视Kaneshima和Helffrich[2010]的研究，他们报告了一项关于环太平洋地区中下地幔小范围非均质性的广泛研究。为了达到这个目的，现有的基于数据库的迁移代码将被修改以处理S-to-P散射。他们使用的事件数量是：伊豆-波宁地区23个，千岛岛地区11个，斐济地区28个，南美洲12个。除了先前研究中利用的S-to-P散射之外，我们还将寻找P-to-P散射的证据，如果时间允许，我们将研究其他事件，以根据基于dbs的远震迁移，看看探测到的散射体的可重复性如何。