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Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers

机译:通过一系列GPS接收器实时监测西北太平洋的构造位移

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摘要

The Pacific Northwest Geodesic Array at Central Washington University collects telemetered streaming data from 450 GPS stations. These real-time data are used to monitor and mitigate natural hazards arising from earthquakes, volcanic eruptions, landslides, and coastal sea-level hazards in the Pacific Northwest. The displacement measurements are performed at millimeter-scale, and require stringent analysis and parameter estimation techniques. Recent improvements in both accuracy of positioning measurements and latency of terrestrial data communication have led to the ability to collect data with higher sampling rates, of up to 1 Hz. For seismic monitoring applications, this means 1350 separate position streams from stations located across 1200 km along the West Coast of North America must be able to be both visually observed and analyzed automatically. We aim to make the real-time information from GPS sensors easily available, including public access via interfaces for all intelligent devices with a connection to the Internet. Our contribution is a dashboard application that monitors the real-time status of the network of GPS sensors. We are able to visualize individual and multiple sensors using similar time series scales. We are also able to visualize groups of sensors based on time-dependent statistical similarity, such as sensors with the the highest variance, in real-time. In addition to raw positioning data, users can also display derived quantities, such as the Allan variance or the second derivative of a data stream.
机译:中央华盛顿大学的西北太平洋大地测量阵列从450个GPS站收集遥测流数据。这些实时数据用于监视和减轻西北太平洋地震,火山喷发,滑坡和沿海海平面灾害引起的自然灾害。位移测量以毫米为单位进行,需要严格的分析和参数估计技术。定位测量精度和地面数据通信等待时间的最新改进已导致能够以高达1 Hz的更高采样率收集数据。对于地震监测应用,这意味着必须能够在视觉上自动观察和分析沿北美西海岸1200公里分布的1350个独立位置流。我们的目标是使来自GPS传感器的实时信息易于获得,包括通过接口连接所有智能设备并与Internet进行公共访问。我们的贡献是一个仪表板应用程序,用于监视GPS传感器网络的实时状态。我们能够使用类似的时间序列刻度来可视化单个和多个传感器。我们还能够实时显示基于时间的统计相似性的传感器组,例如方差最大的传感器。除了原始定位数据,用户还可以显示派生数量,例如Allan方差或数据流的二阶导数。

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  • 作者单位

    Altair Engineering Inc. Troy, MI, USA School of Engineering and Computer Science, Oakland University Rochester, MI, USA;

    Computer Science Department, Central Washington University Ellensburg, WA, USA Electronics and Computers Department, Transilvania University Brasov, Romania;

    Department of Geological Sciences, Central Washington University Ellensburg, WA, USA;

    Department of Geological Sciences, Central Washington University Ellensburg, WA, USA;

    Department of Geological Sciences, Central Washington University Ellensburg, WA, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Real time dashboard; signal analysis; data streaming; GPS; slow earthquake;

    机译:实时仪表板;信号分析;数据流;全球定位系统;慢地震;
  • 入库时间 2022-08-17 13:52:39

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