Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (6): 1870-1886.doi: 10.13278/j.cnki.jjuese.20190211

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Spatial and Temporal Distribution Characteristics of Electromagnetic Fields in Strong Noise Area

Zhou Cong1, Tang Jingtian2, Yuan Yuan1, Li Guang1, Xiao Xiao2, Deng Juzhi1   

  1. 1. State Key Laboratory of Nuclear Resources and Environment(East China University of Technology), Nanchang 330013, China;
    2. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring(Central South University), Ministry of Education, Changsha 410083, China
  • Received:2019-10-01 Online:2020-11-26 Published:2020-12-11
  • Supported by:
    Supported by National Key R & D Program of China (2018YFC0603202), National Natural Science Foundation of China (41904072, 41904073, 41904076), Science and Technology Research Project of Education Department of Jiangxi Province (GJJ180398) and Fund from the State Key Laboratory of Nuclear Resources and Environment (East China University of Technology) (NRE1919)

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Abstract: Noise is one of the bottlenecks that restrict the application effect of electromagnetic prospecting. Understanding the characteristics of electromagnetic fields is primary for an electromagnetic research in strong noise areas. Based on the investigation of interference sources and a large amount of measured data in Lu-Zong ore concentration area, we summarized the main types of electromagnetic noise sources in strong noise areas, and the distribution characteristics of the noise-containing electromagnetic fields in time, frequency,and space domain by comparing and analyzing various types of electromagnetic field data with different conditions. The results show that the noise sources in Lu-Zong area can be classified into different forms; the data of the noisy electromagnetic fields often have significant morphological, amplitude, structural, and correlative characteristics in time domain; the spectrum figures often show different time and frequency band characteristics; the frequency domain responses often show distortion in certain frequency bands, and the "near source" distortion is the most typical one. The spatial distribution of noise influence is related to the types of field sources, observation orientations, and underground structures. According to the characteristics of noise data, the pertinent processing algorithm or research direction is pointed out, which provides a reference for the application of electromagnetic methods in strong noise areas.

Key words: geophysics, electromagnetic prospecting, electromagnetic fields, magnetotellurics, noise, Lu-Zong ore concentration area

CLC Number: 

  • P631
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