摘要
通过梳理安徽省内2014—2017年观测系统、人为干扰等6类数据异常事件,形成背景值数据库,借此深入剖析事件的变化特征,综合研究得出:①时间变化显示,安徽省内各类异常事件条目大体呈逐年增多的趋势;②学科特征显示,地电、地磁、形变、流体观测异常事件均以某类事件为主,具有一定的学科特征;③空间分布显示,各类异常事件呈随机性分布,不具有明显的区域特征;④各类事件均形成以影响因素、变化形态为主要指标的特征库,已作为安徽省内跟踪分析工作的重要判定依据。这些研究成果不仅为安徽地区的前兆异常判定和趋势预测提供一定的科学依据,也为安徽前兆仪器运维工作提供了方法指导。
Through combing the 6 kinds of data anomalies such as observation system,human interference in Anhui Province during 2014—2017,a background value database is formed so that the changing characteristics of events can be deeply analyzed.The following conclusions are obtained from the comprehensive study:①Temporal changes show that all kinds of abnormal events in Anhui Province are increasing year by year;②Disciplinary characteristics show that geoelectricity,geomagnetism,deformation and fluid observation anomalies are dominated by certain events,having certain disciplinary characteristics;③Space distribution shows that all kinds of abnormal events are distributed randomly and no obvious regional characteristics are founded;④All kinds of events are characterized by influencing factors and changing forms,and used as an important criterion for tracking analysis in Anhui Province.These results provide not only a scientific basis for the determination of precursory anomalies and trend prediction in Anhui Province,but also a guidance for the operation and maintenance of Anhui precursory instruments.
作者
刘川琴
李发
谢庆
裴红云
陈俊
Liu Chuanqin;Li Fa;Xie Qing;Pei Hongyun;Chen Jun(Hefei Seismic Station of Anhui Earthquake Agency,Heifei 230031,China;Anhui Earthquake Agency,Heifei 230031,China)
出处
《国际地震动态》
2019年第11期35-41,共7页
Recent Developments in World Seismology
基金
安徽省地震局科研基金（20180301）资助
关键词
前兆数据
跟踪分析
异常事件
precursor data
tracking analysis
abnormal events
作者简介
通信作者:李发,e-mail:uuujerry@sina.cn。
