Correlation of near DC Electric Field Background Characteristic between Space-Based and Ground-Based Observational Data
详细信息
- 责任者：Yan Rui (Institute of Crustal Dynamics ; China Earthquake Administration ; Beijing 100085 ; China) ; Wang Lanwei
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(4)
- 关键词：地电场 ; geoelectric field ; 电磁法勘探 ; electromagnetic prospecting
- 页码：p.1262-1273
- 图表：illus., 1 table, 43 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
To explore and research the characteristics of the space-based and ground-based electromagnetic observational data and the correlation between them has important scientific significance for integrating satellite and ground electromagnetic monitoring data used in earthquake monitoring and research.In the paper,the near DC electromagnetic data recorded in DEMETER satellite,vertical and horizontal geoelectric field data recorded in Hongshawan station and horizontal geoelectric field data recorded in Chengdu station were comprehensively studied.The results showed that:(1)The ULF electric field observational data recorded directly by the DEMETER satellite did not show significant annual change trends;the observational data along the velocity vector direction both day side and night side present a longer-term cyclical characteristic,but there are no correlation and synchronization with geoelectric field observational data.(2)The magnitude of electric field data in ionosphere after removing the additional electric field value caused by satellite cutting magnetic line is consistent with geoelectric field data,and concentrated at about 10-1~10-2 mV/m.(3)The concave annual seasonal change trend is displayed by the observation data along the normal to the orbit direction and along the velocity vector direction in night side,and showing a relatively stable annual variation period,this is consistent with the trend of the annual variation of the horizontal geoelectric field.Therefore,both the magnitude and trends have shown the correlation and synchronization every year.