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Estimating intensities and/or strong motion parameters using civilian monitoring videos: The May 12, 2008, Wenchuan earthquake

机译:使用民用监控视频估算强度和/或强运动参数:2008年5月12日汶川地震

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摘要

One of the important issues in macroseismology and engineering seismology is how to get as much intensity and/or strong motion data as possible. We collected and studied several cases in the May 12, 2008, Wenchuan earthquake, exploring the possibility of estimating intensities and/or strong ground motion parameters using civilian monitoring videos which were deployed originally for security purposes. We used 53 video recordings in different places to determine the intensity distribution of the earthquake, which is shown to be consistent with the intensity distribution mapped by field investigation, and even better than that given by the Community Internet Intensity Map. In some of the videos, the seismic wave propagation is clearly visible, and can be measured with the reference of some artificial objects such as cars and/or trucks. By measuring the propagating wave, strong motion parameters can be roughly but quantitatively estimated. As a demonstration of this 'propagating-wave method', we used a series of civilian videos recorded in different parts of Sichuan and Shaanxi and estimated the local PGAs. The estimate is compared with the measurement reported by strong motion instruments. The result shows that civilian monitoring video provide a practical way of collecting and estimating intensity and/or strong motion parameters, having the advantage of being dynamic, and being able to be played back for further analysis, reflecting a new trend for macroseismology in our digital era.
机译:宏观地震学和工程地震学中的重要问题之一是如何获取尽可能多的强度和/或强运动数据。我们收集并研究了2008年5月12日汶川地震中的几起案件,探索了使用最初部署用于安全目的的民用监控视频估算强度和/或强地面运动参数的可能性。我们使用了53个不同地点的录像来确定地震的强度分布,这与现场调查绘制的强度分布是一致的,甚至比“社区互联网强度地图”给出的还要好。在某些视频中,地震波传播清晰可见,可以参考一些人造物体(例如汽车和/或卡车)进行测量。通过测量传播波,可以大致但定量地估计强运动参数。为了演示这种“传播波方法”,我们使用了一系列在四川和陕西不同地区录制的民用视频,并估算了当地的PGA。将估计值与强运动仪器报告的测量值进行比较。结果表明,民用监控视频提供了一种实用的方式来收集和估算强度和/或强运动参数,具有动态的优点,并且可以回放以进行进一步的分析,反映了我们数字化宏观地震学的新趋势。时代。

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