Collaborative Research: Development of Automated Quality Control and Processing for Earthscope Magnetotelluric Data

合作研究：Earthscope 大地电磁数据自动质量控制和处理的开发

• 批准号: 0345466
• 负责人: Stephen Park
• 金额: --
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-15 至 2009-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0345466&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Automated; Quality

The magnetotelluric method measures naturally varying electric and magnetic fields in order to determine subsurface electrical conductivity. Bulk electrical conductivity of rocks depends mostly on small fractions of highly conductive materials such as partial melt, aqueous fluids, metallic conductors, and graphite. Fluid and partial melt distributions are key components to understanding the structure and physical state of the Earth's interior, so Earthscope has a plan to acquire MT data across the United States. Such a large volume of data requires automated real time management and quality control and processing tools for optimal final estimates of MT transfer functions that will be used by others to develop conductivity models. We are developing the software for these two tasks.

大地电磁方法测量自然变化的电场和磁场，以确定地下电导率。 岩石的体积电导率主要取决于一小部分高导电材料，例如部分熔体、水性流体、金属导体和石墨。 流体和部分熔体分布是了解地球内部结构和物理状态的关键组成部分，因此 Earthscope 计划在美国各地获取 MT 数据。 如此大量的数据需要自动实时管理、质量控制和处理工具，以实现 MT 传递函数的最佳最终估计，其他人将使用该函数来开发电导率模型。 我们正在开发用于这两项任务的软件。