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京津冀地区井水位的数字化观测及其地震前兆监测效能评估
引用本文:车用太,赵文忠,鱼金子,刘成龙. 京津冀地区井水位的数字化观测及其地震前兆监测效能评估[J]. 地震, 2006, 26(4): 103-112
作者姓名:车用太  赵文忠  鱼金子  刘成龙
作者单位:中国地震局地质研究所,北京,100029;北京市地震局,北京,100081
基金项目:本文得到中国地震局监测预报司的支持,有关资料由中国地震台网中心流体台网管理组、北京市地震局监测中心、天津市地震局监测中心和河北省地震局监测预报中心提供,在此表示感谢.
摘    要:在较为系统地调查北京、 天津、 河北地区井水位数字化观测现状的基础上, 分析了各井水位的年、 月、 日动态特征, 并根据以往的震例评估了地震前兆监测的效能。 研究结果表明, 约90%井的水位年动态有一定规律性, 可在地震中期前兆监测中发挥效能, 约50%井的水位日、 月动态有一定规律性, 无阶变与超3倍均方差的脉冲, 可在地震短期和短临前兆监测中发挥一定效能。 研究结果还表明, 数字化井水位观测中目前较为突出的问题是, 约一半的井水位动态中存在较大幅度的脉冲状"异常"变化, 严重影响地震前兆监测效能。

关 键 词:井水位  动态特征  监测效能  京津冀地区
文章编号:1000-3274(2006)04-0103-10
收稿时间:2006-05-29
修稿时间:2006-06-20

Digitalized well-water-level observation and monitoring efficiency evaluation of earthquake precursor in the Beijing-Tianjin-Hebei region
CHE Yong-tai,ZHAO Wen-zhong,YU Jin-zi,LIU Cheng-long. Digitalized well-water-level observation and monitoring efficiency evaluation of earthquake precursor in the Beijing-Tianjin-Hebei region[J]. China Earthguake Engineering Journal, 2006, 26(4): 103-112
Authors:CHE Yong-tai  ZHAO Wen-zhong  YU Jin-zi  LIU Cheng-long
Affiliation:1. Institute of Geology, CEA, Beijing 100029;
2. Earthquake Administration of Beijing Municipality, Beijing 100080, China
Abstract:Based on systematical investigation of present digital observation situation of well-water level, we have analyzed the yearly, monthly and daily dynamic behavior characteristics at different levels, and evaluated the monitoring efficiency of earthquake precursor on the basis of the earthquake cases. The result shows: (1) 90% of the wells, its' daily and monthly behaviors have some regularity, can exert its' efficiency in the medium-term precursory monitoring, (2) 50% of wells, its' daily and monthly behaviors have some regularity and have no step-change and impulse over trinal mean squared error, can exert its' efficiency during the short-term and short-impending-term precursory monitoring. The result also shows that there is impulse-type anomalies, affected exertion of earthquake monitoring efficiency severely, which accounts for about half of water level wells.
Keywords:Well-water-level  Behavior characteristics  Monitoring efficiency  Beijing-Tianjin-Hebei region  
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