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地震 ›› 2023, Vol. 43 ›› Issue (1): 171-184.doi: 10.12196/j.issn.1000-3274.2023.01.013

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标准年动态曲线形态分析方法在地震地下流体氡数据处理中的应用

王岩鸿1, 苏鹤军2, 张慧2, 李晨桦2, 周慧玲2   

  1. 1.甘肃省平凉地震监测中心站, 平凉 740000;
    2.中国地震局兰州岩土地震研究所, 兰州 730000
  • 收稿日期:2022-09-28 修回日期:2022-12-27 出版日期:2023-01-31 发布日期:2023-05-15
  • 通讯作者: 苏鹤军, 副研究员, E-mail: suhejun@126.com
  • 作者简介:王岩鸿(1990-), 男, 甘肃天祝人, 工程师, 主要从事地震地下流体和地震预报研究。
  • 基金资助:
    中国地震局地震预测研究所基本科研业务项目(2021IESLZ05); 地震科技星火计划项目(XH21033); 甘肃省地震局地震科技野外站基金(2021Y11)

Application of Standard Annual Dynamic Curve Method in Radon Data Processing of Seismic Fluid Monitoring Station

WANG Yang-hong1, SU He-jun2, ZHANG Hui2, LI Chen-hua2, ZHOU Hui-ling2   

  1. 1. Pingliang Seismologic Station of Earthquake Administration of Gansu Province, Pingliang Gansu 740000, China;
    2. Lanzhou Institute of Geotechnical and Earthquake, China Earthquake Administration, Lanzhou 730000, China
  • Received:2022-09-28 Revised:2022-12-27 Online:2023-01-31 Published:2023-05-15

摘要: 台站观测数据主要包含台站固有信息与前兆信息, 对前兆信息的准确识别和提取, 是提高运用氡观测站开展地震活动监测预测有效性的关键环节。 采用标准年动态曲线形态分析方法, 对甘肃省内8个地下流体台站的水(气)氡异常信息进行统计分析, 给出8个地下流体台站水(气)氡的前兆异常映震能力与空间响应特征。 研究表明, 标准年动态曲线形态分析方法是识别地下水(气)氡前兆短临异常信息的有效方法, 有望在地下流体前兆数据分析及异常落实工作中发挥重要的技术支撑作用。

关键词: 标准年动态曲线, 氡, 前兆异常分析方法, 地震预测

Abstract: Background information and precursor information are the main observation data of a station. It is a key link to improve the effectiveness of seismic activity monitoring and prediction through accurate identification and correct extraction of precursor information. In this paper, the standard-year dynamic curve morphological analysis method was used to detrend the daily water (gas) radon value of 8 underground fluid stations in Gansu Province. The smoothing of the “forward slip” of the years of daily value was carried out and the mean square error as the upper and lower limits of the smooth curve was calculated. The abnormal values exceeding the upper and lower limits were used as anomalous information for earthquake case statistics, so as to gain earthquake reflecting ability and spatial response characteristics of the precursory anomalies of water (gas) radon at 8 underground fluid stations. It is concluded from the study that the standard annual dynamic curve analysis method could be an effective method to identify the precursory short-impending anomaly information of groundwater (gas) radon, and expected to play an important technical support role in the precursory data analysis and abnormal processing of underground fluids.

Key words: Standard annual dynamic curve, Radon, Method for precursor information extraction, Earthquake prediction

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