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地震 ›› 2008, Vol. 28 ›› Issue (3): 103-109.

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甘肃及邻区数字化水位观测资料的应用与地震监测效能评估

张昱1, 李春森1, 赵小茂2, 王新2, 李永强3, 李春玲1   

  1. 1.甘肃省地震局, 甘肃 兰州 730000;
    2.陕西省地震局, 陕西 西安 710068;
    3.青海省地震局, 青海 西宁 810001
  • 收稿日期:2008-01-02 修回日期:2008-02-22 出版日期:2008-07-31 发布日期:2021-10-29
  • 作者简介:张昱(1963-), 女, 甘肃秦安人, 高级工程师, 主要从事地下流体地震分析预报等研究。
  • 基金资助:
    国家科技支撑计划课题(2006BAC01B02-03-02)

Application of digital observation data of underground water level and evaluation of earthquake prediction efficacy in Gansu and its adjacent areas

ZHANG Yu1, LI Chun-sen1, ZHAO Xiao-mao2, WANG Xin2, LI Yong-qiang3, LI Chun-ling1   

  1. 1. Earthquake Administration of Gansu province, Lanzhou 730000;
    2. Earthquake Administration of Shanxi province, Xi'an 710068;
    3. Earthquake Administration of Qinghai province, Xining 810001, China
  • Received:2008-01-02 Revised:2008-02-22 Online:2008-07-31 Published:2021-10-29

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摘要： 甘肃及其附近地区已建成的数字化水位观测点共有12个, 其中模拟与数字化观测同时运行的只有甘肃平凉一个测点。 文中分析了数字化水位的年、 月、 日动态特征以及数字化资料的应用。 分析了主要影响数字化水位资料的干扰因素, 分析结果发现, 数字化水位观测中目前较为突出的问题是水位动态中存在较大幅度的脉冲和突变。 根据以往的震例总结, 认为有可能识别出破年变为标志的中期前兆异常, 以阶变和脉冲为特征的短期异常很难识别。 潮汐理论用于模拟观测资料的处理方法, 仍然可以在数字化观测资料中应用。

关键词: 数字化, 水位, 动态特征, 甘肃及邻区, 监测效能

Abstract: 12 digital observation stations of water level have been set up in Gansu and its adjacent areas. The Pingliang C11 well is uniquely observed with digital data and simulation at the same time. We analyze dynamic characteristics of year, month and day digital water level and application of digital data. The interfere factors that affect digital data of water level are also analyzed. The results show that prominent problem is sudden change and pulse in digital data of water level. According to summation of earthquake cases, we can identify the intermediate-term precursory anomaly in breaking the annual variation. It is difficult to identify short time precursory anomaly in sudden change and pulse. We processed the simulation water level data by using the tide theory, and indicating that this theory can be applied to process the digital observation data.

Key words: Digital observation data, Underground water level, Dynamic characteristics, Gansu and its adjacent areas, Earthquake prediction efficacy

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