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Recalibration of OBSIP Instrument Orientations

Recalibration of OBSIP Instrument Orientations
OBSIP 仪器方向的重新校准
批准号:
1634440
负责人:
Gabriele Laske
金额:
$6.74万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2017-08-31

项目摘要

项目成果

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中文摘要
翻译
海底地震仪(OBS)位于海底,记录地震。他们被部署在一艘科考船上。仪器在海面上释放,OBS在海底下沉和着陆。它是如何着陆的,仪器是如何与地理坐标系对齐的,目前尚不清楚。围绕着地震仪的万向节系统确保它是直立的,但不检查仪器朝向的方向。陆地上的地震仪可以使用指南针定位,但目前在海底还不可能。然而,地震数据的分析依赖于知道仪器的方位。为了解决这个问题,将开发一种标准化的自动化工具,为OBS仪器定位提供可能的最佳估计。该工具基于对全球浅层地震的地震面波的到达角测量。在开发了新的自动化工具后,将通过将结果与旧的高精度、但实际操作和耗时的测量结果进行比较来进行验证。许多地震数据分析,如接收函数、横波分裂和洛夫波频散,都依赖于对完整的三分量地震记录的处理。对于这些分析,了解水平分量相对于地理坐标系的对齐是先决条件。在陆地上,这种信息很容易获得,而且通常是通过用指南针交叉核对获得的。在海洋中,自由落体海底地震仪(OBS)以未知的方向下沉。仪器的声学测量成本过高,而确定地震计组件的方位通常由个别数据终端用户决定。重新定向与预期的数据分析同时进行,通常不会详细评估复杂介质中不均匀的事件覆盖和波传播造成的偏差。该项目将开发一个标准化的自动化工具,为OBS仪器定位提供最佳估计。考虑到海洋环境的限制和噪声水平,长周期瑞雷波可能仍然是确定仪器方位的最佳工具。新的工具箱将被仔细地标记为与一个较旧的、成熟的交互屏幕工具相对照。事实证明,其他人使用后者是不切实际的,因为它包含旧的、不兼容的遗留代码。新工具将由Python和Fortran代码组合组成,并将提供对IRIS数据管理中心数据的自动访问。
英文摘要
Ocean bottom seismometers (OBSs) sit on the seafloor and record earthquakes. They are deployed from a research vessel. The instrument is released on the ocean surface, the OBS sinks and lands on the seafloor. How it lands and how the instruments are aligned with the geographic coordinate system is unknown. A gimbal system surrounding the seismometer makes sure that it is upright, but no check is made on which direction the instrument is facing. Seismometers on land can be oriented using a compass, but this is not currently possible on the seafloor. The analysis of seismic data, however, is dependent on knowing the orientation of the instrument. To address this problem, a standardized, automated tool will be developed to provide the best possible estimates for OBS instrument orientations. The tool is based on arrival angle measurements on seismic surface waves from shallow earthquakes around the globe. After development of the new automated tool it will be validated by comparing results to older high-precision, but hands-on and time consuming measurements that have been made. The resulting code will be released publically and become a community tool.Many seismic data analyses, such as receiver functions, shear-wave splitting and Love wave dispersion, rely on the processing of a complete 3-component seismogram. For these analyses, knowledge of the alignment of the horizontal components with respect to the geographic coordinate system is a prerequisite. On land, this information is easy and routinely obtained through cross-check with a compass. In the oceans, free-fall ocean bottom seismometers (OBSs) sink with unknown orientation. Acoustic surveys of the instrument are cost-prohibitive, and the determination of the orientation of seismometer components is usually left to the individual data end user. Reorientation is done concurrently with the intended data analysis, often without detailed assessment of biases from uneven event coverage and wave propagation in complex media. This project will develop a standardized automated tool to provide optimal estimates for OBS instrument orientations. Long-period Rayleigh waves likely remain the best tool to determine instrument orientations given the restrictions and noise levels of an ocean environment. The new toolbox will be carefully bench marked against an older, well-established interactive-screen tool. The latter has proven impractical to be used by others because it contains old, non-compliant legacy code. The new tool will consist of a combination of Python and Fortran codes and will provide automated access to data at the IRIS Data Management Center.
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MRI: Development of a Telemetered Seafloor Seismic Observatory (TeSSO)
Collaborative Research: Mapping and Understanding Seismic Anisotropy in the Northeast Pacific Ocean
Using Seafloor Compliance to image the Crust around Hawaii
Seismic Anisotropy across the USArray using Surface-wave Arrival Angles
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