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Three-Dimensional Crustal Flow Models of Fast Spreading East Pacific Rise

Three-Dimensional Crustal Flow Models of Fast Spreading East Pacific Rise
东太平洋海隆快速扩张的三维地壳流模型
批准号:
9730685
负责人:
Yongshun John Chen
金额:
$12.09万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-03-01 至 2000-02-29

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英文摘要
9730685 Chen Mid-ocean ridges represent the longest plate boundaries on the earth's surface and their persistent volcanism has produced over half of the earth's crust. Understanding mantle upwelling and crustal accretion processes at mid- ocean ridges is important in our understanding how global plate tectonics work to shape the earth's surface. This proposed two-year investigation is designed to construct three-dimensional ridge crustal flow models at a fast spreading mid-ocean ridge. The main goal is to test if the along-axis crustal flow at fast spreading ridges is sufficient to smoothen the gravity, topography, crustal thickness and other observables if mantle upwelling at fast ridges is three-dimensional. This is the key to discriminate between the current two competing hypotheses for the mantle flow and crustal accretion at mid-ocean ridges. This is inexpensive and effective approach toward solving the current dilemma of the production of oceanic crust and its related processes at fast spreading ridges.
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A Geophysical Investigation of the Shona Geochemical Anomaly, Mid-Atlantic Ridge: 50'30' - 50'30'S: Collaborative Research
  • 批准号:
    9416711
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.54万
  • 财政年份:
    1995
  • 负责人:
    Yongshun John Chen
  • 依托单位:
Dynamic Modeling of Three-Dimentional Thermal-Mechanical Interactions of the Ridge-Transform Systems
  • 批准号:
    9300512
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $9.96万
  • 财政年份:
    1993
  • 负责人:
    Yongshun John Chen
  • 依托单位:
A Gravity Study of the Pacific-Antarctic East Pacific Rise
  • 批准号:
    9201770
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $6.7万
  • 财政年份:
    1992
  • 负责人:
    Yongshun John Chen
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis