首页> 外文会议>Dragon 3 Mid Term Results symposium >A NEW METHOD OF IDENTIFYING GROUND-BASED ELECTROMAGNETIC ANOMALIES – CASE STUDY OF THE SICHAN LUSHAN 7.0 EARTHQUAKE
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A NEW METHOD OF IDENTIFYING GROUND-BASED ELECTROMAGNETIC ANOMALIES – CASE STUDY OF THE SICHAN LUSHAN 7.0 EARTHQUAKE

机译:一种识别基于地面的电磁异常的新方法-以四川庐山7.0级地震为例

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摘要

Stereo-observation, being comprised of both ground-andrnspace-based observations, is an important approach forrnlikely making earthquake prediction to break through.rnThe electromagnetic observation is considered as one ofrnthe most important measures in the stereo-observation,rnand should be one of the fields in which breakthrough isrnfirstly and likely made and would be an effective devicernto obtain information for earthquake pre-warning. Newrntechniques of alternating electromagnetic fieldrnobservation, e.g., Controlled-Source Extremely LowrnFrequency (CSELF) and satellite observation, arerngradually applied to the earthquake monitoring, whichrncontain the more abundant information than those mainlyrnobserved in constant electric or magnetic field. This willrnincrease the amount of recorded data greatly andrninevitably require the robust techniques of datarnprocessing and analyzing. Previous analysis techniquesrnmainly utilize the Fourier transform method forrnalternating electromagnetic field data, which cannotrnconsider the information in time and frequency domainsrnsimultaneously. In this study we try to use the waveletrntransform method to process alternating electromagneticrnfield data and carry out a case study, which aims tornobtain the electromagnetic anomaly information in bothrnfrequency- and time-domains. The study is conducted onrnthe data observed for 35 days during the strongrnaftershock period after the Lushan earthquake withrnMs=7.0 in the Sichuan province in China. Thernpreliminary results show that the wavelet transformrnmethod has an advantage and potential for identifyingrnthe electromagnetic anomalies relative to the earthquakernevents.
机译:立体观测是同时基于地面和太空的观测,它是可能使地震预报突破的重要方法。电磁观测被认为是立体观测中最重要的措施之一,应作为其中一项重要措施。首先突破并可能取得突破的领域,将是获得地震预警信息的有效手段。交变电磁场观测的新技术,例如受控源极低频(CSELF)和卫星观测,已逐渐应用于地震监测,与主要在恒定电场或磁场中观测到的信息相比,它们包含的信息更为丰富。这将大大增加记录数据的数量,并且不可避免地需要强大的数据处理和分析技术。先前的分析技术主要是利用傅立叶变换方法来交替电磁场数据,这种方法不能同时考虑时域和频域中的信息。在本研究中,我们尝试使用小波变换方法来处理交变电磁场数据并进行案例研究,目的是在频域和时域中获取电磁异常信息。该研究是在庐山地震后的35天Ms = 7.0在中国四川省的强震后观测数据中进行的。初步结果表明,小波变换方法具有识别与地震事件有关的电磁异常的优势和潜力。

著录项

  • 来源
  • 会议地点 Chengdu(CN)
  • 作者单位

    State Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;

    State Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China, Email: zhaogz@ies.ac.cn;

    Computer Science Research Institute, Faculty of Computing and Engineering, University of Ulster, Belfast BT37 0QB, United Kingdom, Email: yaxinbi@googlemail.com;

    State Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;

    State Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;

    State Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;

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

    ground-based electromagnetic observation; electromagnetic anomaly; wavelet maxima; strong aftershock;

    机译:地基电磁观测;电磁异常;小波最大值;强余震;

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