Constraints on the Composition of the Subducting Oceanic Crust in the Northwest Pacific Ocean Basin

西北太平洋盆地俯冲洋壳成分的制约

• 批准号: 0961359
• 负责人: Susanne Straub
• 金额: $ 20.67万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0961359&HistoricalAwards=false
• 关键词: Constraints; Composition; Subducting; Oceanic; Crust

Geochemical mass balances are crucial for the understanding of how elements partition between the crust and mantle, especially where ocean crust is recycled from the seafloor back into the mantle during subduction. This research is a first-of-its-kind, proof-of-concept study that uses a novel, new, statistical approach to understand the extent to which the chemistry of rocks, that get subducted, comes back to earth's surface as magmas and gases in volcanic arcs like Japan and the Aleutians. The approach taken combines geoinformatics and data-mining of large compendiums of geochemical and isotopic data for seafloor volcanic rocks and sediments with calculations of potential, common, ocean crust, compositional end members. Data from volcanic arcs in the western and northern Pacific (Marianas through the Aleutians) will be analyzed, and quality-controlled compendiums of data will be compiled for analysis. Broader impacts of the work include support of a PI from groups under-represented in the sciences and undergraduate student training in geoinformatics. The work is relevant to the NSF-funded MARGINS and Ocean Drilling Program missions and science plans. Resulting data will be publicly available through the NSF-funded PetDB data portal and data archive.

地球化学质量平衡对于理解元素如何在地壳和地幔之间分配至关重要，特别是在俯冲过程中海洋地壳从海底再循环回地幔的情况。这项研究是一项史无前例的概念验证研究，它使用一种新颖的统计方法来了解俯冲岩石的化学成分以岩浆和岩浆的形式返回地球表面的程度。日本和阿留申群岛等火山弧中的气体。 所采用的方法将海底火山岩和沉积物的地球化学和同位素数据大纲的地理信息学和数据挖掘与潜在、共同、洋壳、成分端元的计算相结合。 将分析来自西太平洋和北太平洋（马里亚纳群岛至阿留申群岛）火山弧的数据，并编制质量控制的数据简编以供分析。这项工作的更广泛影响包括科学领域代表性不足的群体对 PI 的支持以及地理信息学本科生培训。这项工作与 NSF 资助的 MARGINS 和海洋钻探计划任务和科学计划相关。 结果数据将通过 NSF 资助的 PetDB 数据门户和数据档案公开提供。