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Three Dimensional Models of Flow and Deformation in Subduction Zones

Three Dimensional Models of Flow and Deformation in Subduction Zones
俯冲带流动和变形的三维模型
批准号:
8708477
负责人:
Richard O'Connell
金额:
$8.12万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1987
资助国家:
美国
项目状态:
已结题
起止时间:
1987-07-01 至 1991-06-30

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中文摘要
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英文摘要
The PI will construct detailed three dimensional models of flow in subduction zone for comparison with seismic determi- nations of the flow, deformation and stress in subducted litho- spheric slabs. Adequate resolution will be obtained by solving for 3D flow in a limited region around the subduction zone (a few thousand kilometers) and superposing this small scale solution on the large scale flow resulting from global plate motions and large scale convection. Flow driven by tomograph- ically inferred density anomalies will be included. The analysis of the models will trace the flow of subducted material, deter- mine stress and deformation associated with deeep seismicity, and constrain mantle viscosity and structure. The models will allow a quantitative understanding of the dynamics and mechanics of subduction processes.
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Studies of mantle flow and evolution
  • 批准号:
    1015353
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2010
  • 负责人:
    Richard O'Connell
  • 依托单位:
ABR: Mantle Circulation Models: Development and Application to Geophysical and Geochemical Observables
  • 批准号:
    0440017
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $39.65万
  • 财政年份:
    2004
  • 负责人:
    Richard O'Connell
  • 依托单位:
Collaborative Research: Integrated Geodetic, Seismological and Geodynamic Studies of Deformation in the Central and Southern Andes
  • 批准号:
    0003718
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $37.21万
  • 财政年份:
    2001
  • 负责人:
    Richard O'Connell
  • 依托单位:
Mantle Circulation Models: Applications to Lithospheric Deformation, Subduction and Plumes
  • 批准号:
    0001046
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $23.0万
  • 财政年份:
    2000
  • 负责人:
    Richard O'Connell
  • 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