基于被动源的滑坡地震信号分析研究概述

An overview of landslide seismic signal analysis based on passive sources

  • 摘要: 全球地震台站的增加及数据处理、建模和解释方面的进步为利用地震学研究滑坡区地下介质的动态变化提供了有利条件,使得利用滑坡地震信号研究滑坡特征逐渐成为滑坡监测中的重要手段之一。本文主要介绍了利用被动源地震学方法对滑坡信号进行识别分析和过程监测的技术和实际应用。通过案例研究表明,在合适的条件下,利用滑坡产生的地震信号可以经济又有效地监测滑坡过程,甚至能识别出滑坡灾害的前兆信号,为滑坡灾害预警提供技术支撑。未来若结合其它地球物理或遥感方法,建立多参数地球物理监测系统,将能大幅降低因滑坡灾害所导致的人员伤亡和经济损失。

     

    Abstract: The increase of seismic stations around the world and the progress in data processing, modeling, and interpretation provide favorable conditions for studying the dynamic changes of underground media in landslides, making the study of landslide characteristics using landslide seismic signals gradually become one of the important ways in landslide monitoring. This article mainly introduces the technology and practical application of passive source seismology for landslide signal recognition, analysis, and process monitoring. Many case studies show that seismic signals generated by landslides can be used to monitor the landslide process economically and effectively and even can identify the precursor signals of landslide disasters under appropriate conditions, providing technical support for landslide disaster warnings. If Combined with other geophysical or remote sensing methods, the establishment of a multi-parameter geophysical monitoring system will significantly reduce the casualties and economic losses caused by landslide disasters in the future.

     

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