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陕西省地电阻率观测干扰因素分析研究
引用本文:孙昱,张炜超,张创军,陈嘉选,路小建.陕西省地电阻率观测干扰因素分析研究[J].西北地震学报,2019,41(2):489-499.
作者姓名:孙昱  张炜超  张创军  陈嘉选  路小建
作者单位:陕西省地震局乾陵地震台, 陕西 咸阳 713300,陕西省地震局应急中心, 陕西 西安 710068,陕西省地震局乾陵地震台, 陕西 咸阳 713300,陕西省地震局乾陵地震台, 陕西 咸阳 713300,陕西省地震局乾陵地震台, 陕西 咸阳 713300
基金项目:中国地震局监测、预测、科研三结合课题(CEA-JC/3JH-172704)
摘    要:运用陕西省2011—2018年地电阻率观测资料,分析得出该省地电阻率观测干扰因素主要有:观测系统故障、自然环境干扰和场地环境干扰;计算观测数据受干扰影响的幅度,得出影响的时间尺度,解析每种类型干扰的表现形式和曲线变化的形态特征,提出干扰抑制的方法及建议,并对干扰影响观测数据变化的物理机制进行分析;阐明地震预报中数据应用的基本工作流程,申明准确识别各类干扰、寻求解决干扰问题途径以及探索新的干扰数据处理方法的重要意义。

关 键 词:地电阻率  干扰特征  物理机制  干扰抑制
收稿时间:2018/10/12 0:00:00

Interference Factors in the Earth Geo-resistivityObservation in Shaanxi Province
SUN Yu,ZHANG Weichao,ZHANG Chuangjun,CHEN Jiaxuan and LU Xiaojian.Interference Factors in the Earth Geo-resistivityObservation in Shaanxi Province[J].Northwestern Seismological Journal,2019,41(2):489-499.
Authors:SUN Yu  ZHANG Weichao  ZHANG Chuangjun  CHEN Jiaxuan and LU Xiaojian
Institution:Qianling Seismostation, Earthquake Agency of Shaanxi Province, Xianyang 713300, Shaanxi, China,The Emergency Center, Earthquake Agency of Shaanxi Province, Xi''an 710068, Shaanxi, China,Qianling Seismostation, Earthquake Agency of Shaanxi Province, Xianyang 713300, Shaanxi, China,Qianling Seismostation, Earthquake Agency of Shaanxi Province, Xianyang 713300, Shaanxi, China and Qianling Seismostation, Earthquake Agency of Shaanxi Province, Xianyang 713300, Shaanxi, China
Abstract:Based on the earth geo-resistivity observation data in Shaanxi Province from 2011 to 2018, we analyzed the main factors that affect these observations, including the failure of the observation system, the interference of the natural environment, and the interference of the site environment. In this paper, we calculated the interference amplitude of the observed data, and obtained the time scale of the interference. We then analyzed the form of each type of interference and the morphological characteristics of the observation data curve. Based on this, we proposed methods and made recommendations for interference suppression, and analyzed the physical mechanism of observed data change under the influence of interference factors. In addition, we clarified the basic workflow of data application in earthquake prediction, declared the importance of identifying all types of interference factors accurately, sought ways to solve interference problems, and explored new methods to process interference data.
Keywords:geo-resistivity  interference characteristics  physical mechanism  interference suppression
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