COLLABORATIVE RESEARCH: Dynamic Processes Along a Passive Margin: A Geological and Geodetic Study of the Northern Gulf of Mexico

合作研究：沿被动边缘的动态过程：墨西哥湾北部的地质和大地测量研究

• 批准号: 9725330
• 负责人: Roy Dokka
• 金额: $ 19.94万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9725330&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Dynamic; Processes; Along

9725330 Dokka Deformation of sedimentary piles in passive margins in classical understanding of deformation of sedimentary piles impassive margins is based in past on structural relations in the Gulf Coast region. However, the evolution of the structures in this region is rather poorly understood. Fundamental questions that remain are what is the rate of growth of growth faults, is motion they continuous or episodic, is salt motion along the Gulf Coast kinematically linked to this extension, and how is strain partitioned between fault zones and the regions between faults. Dokka and Dixon will combine forces to collect GPS data to address these issues. Their multi-year multi-station campaigned to measure three dimension motion data as a function of time with the results integrated with sea level elevation data will address all of these issues in the central Gulf Coast region. Their results will provide a bridge between GPS data and tidal data, and differences in motion between and across known faults will reveal data on strain partitioning. The results will have generic significance because they will serve as a model for deformation of other passive margins where data are much less complete.

小行星9725330 被动陆缘沉积岩堆的变形被动陆缘沉积岩堆变形的传统认识是基于过去墨西哥湾沿岸地区的构造关系。 然而，在这个区域的结构的演变是相当少的理解。 基本的问题仍然是什么是增长断层的增长速度，是运动，他们是连续的或偶发性的，是盐运动沿着墨西哥湾沿岸运动学上连接到这个扩展，以及如何应变断层带之间和断层之间的区域分配。 多卡和狄克逊将联合收割机收集GPS数据来解决这些问题。 他们的多年多站活动旨在测量三维运动数据作为时间的函数，其结果与海平面高程数据相结合，将解决墨西哥湾沿岸中部地区的所有这些问题。 他们的结果将在GPS数据和潮汐数据之间架起一座桥梁，已知断层之间的运动差异将揭示应变分配的数据。 这些结果将具有普遍意义，因为它们将作为其他被动边缘变形的模型，其中数据要少得多。