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The method of geomagnetic diurnal correction to vector geomagnetic data by virtual diurnal variation station

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Authors:Gu Chunlei; Zhang Yi; Xu Rugang; Yuan Jiehao; Wang Lei; Zhu Zhichun
Author Affiliations:Primary:
University of Science and Technology of China, College of Earth and Space Science, Hefei, China
Other:
Earthquake Administration of Anhui Province, China
China Earthquake Administration, China
Volume Title:Diqiu Wulixue Bao Acta Geophysica Sinica
Source:Diqiu Wulixue Bao = Acta Geophysica Sinica, 56(3), p.834-841. Publisher: Science Press, Beijing, China. ISSN: 0001-5733
Publication Date:2013
Note:In Chinese with English summary. 26 refs.
Summary:Mobile vector seism magnetic survey is a kind of method to obtain seismic precursor, experimentation and survey proved, the value of geomagnetic anomalies is small which caused by earthquake preparation, so we should as far as possible to elimination errors of data processing. The aim of this paper is to discuss the diurnal correction precision of vector geomagnetic data. First we used the inverse distance weighted interpolation method to obtain the virtual data of Mengcheng by observed data form Tai'an, Wuhan, Chongming and Hangzhou geomagnetic observatories, and the correlation coefficients of declination, horizontal and vertical components are 0.9987, 0.9946 and 0.9806 respectively between virtual and observed data. The result verifies that this method is effective to spatial interpolation of geomagnetic. Then we calculated the virtual diurnal variation data of vector geomagnetic points by inverse distance weighted interpolation method, and used to correct diurnal correction to vector geomagnetic points of eastern and western of monitoring area. This method can effectively improve the diurnal correction precision, and have more practical application value to geomagnetic observatory scarce area.
Subjects:Data processing; Diurnal variations; Earthquake prediction; Earthquakes; Magnetic field; Precursors; Seismic networks; Seismology; Asia; China; Far East
Record ID:759114-6
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute.
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