Collaborative Proposal: Understanding Subduction Systems by Linking Anisotropic Seismic Imaging and Geodynamic Modeling
合作提案:通过连接各向异性地震成像和地球动力学建模来了解俯冲系统
基本信息
- 批准号:1520695
- 负责人:
- 金额:$ 16.8万
- 依托单位:
- 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:2015-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Recordings of distant earthquakes will be used in this project to infer the velocity at which the waves traveled beneath the Earth's surface. In turn, we use this information to understand the Earth's structure and, in particular, how subduction (the descent of an old tectonic plate into the Earth's mantle) produces volcanism and affects surface topography. When conducting this type of study, it is currently common to assume that the speed at which the waves travel is independent of their direction. In reality, seismic waves travel at different speeds depending on what their direction is relative to the orientation of minerals in the mantle. This phenomenon is known as anisotropy, and when not taken into account, it can bias the image of the subsurface in ways that can compromise the understanding of the subduction processes. In this project, seismologists will investigate ways to reduce this problem by incorporating physically-based estimates of the distribution of anisotropy into the imaging procedures. In this way, more accurate images of the subsurface will be determined advancing the understanding of how subduction affects the surface, including the distribution of volcanism.The project will combine travel-time tomography, SKS splitting observations and geodynamic flow modeling to produce self-consistent models of mantle structure (isotropic and anisotropic) in the vicinity of two subduction zones. The new approach will allow us to fully integrate mantle anisotropy into teleseismic tomography of subduction zones. By incorporating estimates of the anisotropy field into travel-time tomography the scientitists will significantly reduce major artifacts stemming from the isotropic assumption and obtain a physically-based model for the strain in the mantle wedge and beneath the subducting plate. The improved imaging will allow to better recover the mantle physical state (temperature, composition and melt fraction). This methodology will be applied to existing data from the western Mediterranean and Cascadia subduction zones.
该项目将使用遥远地震的记录来推断波浪在地面表面以下传播的速度。反过来,我们使用这些信息来理解地球的结构,尤其是俯冲(旧构造板的下降到地球地幔)如何产生火山和影响表面地形。进行此类研究时,目前通常可以假设波浪行进的速度独立于其方向。实际上,地震波以不同的速度行驶,具体取决于它们相对于地幔中矿物的方向的方向。这种现象被称为各向异性,如果不考虑,它可以以损害对俯冲过程的理解的方式偏向地下的图像。在这个项目中,地震学家将通过将各向异性分布的估计值纳入成像程序,调查减少此问题的方法。通过这种方式,将确定更准确的地下图像,以推进对俯冲如何影响表面的理解,包括火山主义的分布。该项目将结合旅行时间层析成像,SKS分裂观测和地球动力流程建模,以产生两种s subduction Zones的vicincions zone zone(等值范围和异端)的自符势模型。这种新方法将使我们能够将地幔各向异性完全整合到俯冲区域的远距离断层扫描中。通过将各向异性场的估计值纳入旅行时间断层扫描中,科学家将显着减少各向同性假设所产生的主要伪像,并获得基于物理的模型,用于在地幔楔形物中的菌株和俯冲板下方。改进的成像将允许更好地恢复地幔物理状态(温度,组成和熔体分数)。该方法将应用于西地中海和卡斯卡迪亚俯冲带的现有数据。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Maximiliano Bezada其他文献
New insights into the heterogeneity of the lithosphere-asthenosphere system beneath south china from teleseismic body-wave attenuation
从远震体波衰减对华南岩石圈-软流圈系统非均质性的新认识
- DOI:
10.1029/2020gl091654 - 发表时间:
2021 - 期刊:
- 影响因子:5.2
- 作者:
Yangfan Deng;Joseph S. Byrnes;Maximiliano Bezada - 通讯作者:
Maximiliano Bezada
Variable Depths of Magma Genesis in the North China Craton and Central Asian Orogenic Belt Inferred From Teleseismic P Wave Attenuation
从远震P波衰减推断华北克拉通及中亚造山带岩浆成因的变化深度
- DOI:
10.1029/2021jb022439 - 发表时间:
2022-02 - 期刊:
- 影响因子:0
- 作者:
Hanlin Liu;Joseph S. Byrnes;Maximiliano Bezada;Qingju Wu;Shunping Pei;Jing He - 通讯作者:
Jing He
Maximiliano Bezada的其他文献
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{{ truncateString('Maximiliano Bezada', 18)}}的其他基金
CAREER: Stress, deformation and seismicity in continental interiors: Testing the "weak zone" hypothesis
职业:大陆内部的应力、变形和地震活动:检验“薄弱区”假说
- 批准号:
1944998 - 财政年份:2020
- 资助金额:
$ 16.8万 - 项目类别:
Continuing Grant
Investigating the Lithosphere-Asthenosphere System by Integrating New Constraints on Seismic Attenuation with Existing Geophysical Observations
将地震衰减新约束与现有地球物理观测相结合研究岩石圈-软流圈系统
- 批准号:
1827277 - 财政年份:2018
- 资助金额:
$ 16.8万 - 项目类别:
Standard Grant
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