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Three Dimensional Gravity and Magnetics Studyof the Transiions from Rifting to Seafloor Spreading in the Northern Mariana Arc.

Three Dimensional Gravity and Magnetics Studyof the Transiions from Rifting to Seafloor Spreading in the Northern Mariana Arc.
北马里亚纳弧从裂谷到海底扩张转变的三维重力和磁学研究。
批准号:
9102623
负责人:
Fernando Martinez
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-06-01 至 1992-11-30

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中文摘要
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英文摘要
This study will use a three.dimensional gravity and magnetics interpretation of existing geophysical data near the northern end of the Mariana Trough, which appears to be actively undergoing the transition from rifted to spreading crust. The study will utilize bathymetric, gravity and magnetics to calculate standard geophysical parameters and to claculate a sea floor magnetization solution in this backarc basin. The PI will collaborate with the proposed and ongoiong structural and petrological work of P. Fryer (University of Hawaii) and scientists from the Geological Survey of Japan.
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Collaborative Research: Geophysical Study of Ongoing Subduction Initiation Along the Matthew-Hunter Trench
  • 批准号:
    2228414
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $41.8万
  • 财政年份:
    2023
  • 负责人:
    Fernando Martinez
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Formation and Elimination of Segmetation and Transform Faults on the Reykjanes Ridge
  • 批准号:
    1756760
  • 项目类别:
    Standard Grant
  • 资助金额:
    $67.99万
  • 财政年份:
    2018
  • 负责人:
    Fernando Martinez
  • 依托单位:
Collaborative Research: The Southeast Mariana Forearc Rifts and the Southernmost Mariana Trough Spreading Center: New Insights into the Tectonics and Magmatism of Intraoceanic Arcs
  • 批准号:
    0961811
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $27.62万
  • 财政年份:
    2010
  • 负责人:
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  • 依托单位:
Accomplishment Based Renewal: Evolution of the Lau Basin-A Reappraisal
  • 批准号:
    0727138
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.89万
  • 财政年份:
    2007
  • 负责人:
    Fernando Martinez
  • 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