SGER: Measuring Black Smoker Flow Rates Using Image Correlation Velocimetry

SGER：使用图像相关测速仪测量黑烟民流量

• 批准号: 0623285
• 负责人: Russell McDuff
• 金额: $ 3.39万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0623285&HistoricalAwards=false
• 关键词: SGER; Measuring; Black; Smoker; Flow

AbstractUnder this funding, the PIs will develop an image analysis-based velocimetry technique to obtain time-series measurements of flow through black smokers. This will involve development a set of computational algorithms to analyze black smoker video imagery which will provide estimates of flow through these vents. These algorithms will be applied to previously collected video of black smokers in the Main Endeavour field of the Juan de Fuca Ridge in order to begin characterizing black smoker flow variability. Specifically, the PIs will look for evidence of tidal variability in the flow using spectral techniques, and will compare the results to model predictions of flow variability associated with tidal loading. The PIs will then look for evidence of flow perturbations related to seismic activity using available earthquake data. The broader impacts of this study derive from the interdisciplinary nature of mid-ocean ridge hydrothermal system science. This project will also enhance the research infrastructure by completing preliminary work necessary for the development of a next-generation seafloor instrument. This study will also continue the training and education of a University of Washington graduate student.

摘要在这笔资金的资助下，PI将开发一种基于图像分析的速度测量技术，以获得通过黑人吸烟者的流动的时间序列测量。这将涉及开发一套计算算法来分析黑色吸烟者的视频图像，该图像将提供通过这些喷口的流量估计。这些算法将应用于以前在胡安德富卡山脊的主要奋进领域收集的黑人吸烟者的视频，以便开始表征黑人吸烟者的气流可变性。具体地说，PI将使用频谱技术在水流中寻找潮汐变异性的证据，并将结果与与潮汐负荷相关的水流变异性的模型预测进行比较。然后，PI将使用现有的地震数据来寻找与地震活动有关的流动扰动的证据。这项研究的更广泛影响来自大洋中脊热液系统科学的跨学科性质。该项目还将完成开发下一代海底仪器所需的前期工作，从而加强研究基础设施。本研究还将继续对华盛顿大学的一名研究生进行培训和教育。