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强干扰区含噪电磁场的时空分布特征
引用本文:周聪,汤井田,原源,李广,肖晓,邓居智.强干扰区含噪电磁场的时空分布特征[J].吉林大学学报(地球科学版),2020,50(6):1870-1886.
作者姓名:周聪  汤井田  原源  李广  肖晓  邓居智
作者单位:1. 核资源与环境国家重点实验室(东华理工大学), 南昌 330013;2. 有色金属成矿预测与地质环境监测教育部重点实验室(中南大学), 长沙 410083
基金项目:国家重点研发计划重点专项(2018YFC0603202);国家自然科学基金项目(41904072,41904073,41904076),江西省教育厅科学技术研究项目(GJJ180398);核资源与环境国家重点实验室(东华理工大学)开放基金(NRE1919)
摘    要:噪声是限制电磁勘探应用效果的瓶颈之一,明确含噪电磁场数据的特征是强干扰区开展电磁法研究的首要问题。本文依据庐枞矿集区的干扰源调查及大量实测数据,通过对比不同条件、多种类型的电磁场数据,归纳了强干扰区电磁噪声源的主要类型,并总结了含噪电磁场数据的时间域、频率域及空间分布特征。结果表明:强干扰区噪声源可按多种形式进行分类;含噪电磁场数据在时间域常具有显著的形态、振幅、结构及相关性特征;时频谱常表现出不同的时间分段及频率分带特征;频域响应常呈分频带畸变特征,以"近源"型畸变最为典型;噪声影响的空间分布与场源类型、观测方位及地下结构等因素相关。

关 键 词:地球物理  电磁勘探  电磁场  大地电磁  噪声  庐枞矿集区  
收稿时间:2019-10-01

Spatial and Temporal Distribution Characteristics of Electromagnetic Fields in Strong Noise Area
Zhou Cong,Tang Jingtian,Yuan Yuan,Li Guang,Xiao Xiao,Deng Juzhi.Spatial and Temporal Distribution Characteristics of Electromagnetic Fields in Strong Noise Area[J].Journal of Jilin Unviersity:Earth Science Edition,2020,50(6):1870-1886.
Authors:Zhou Cong  Tang Jingtian  Yuan Yuan  Li Guang  Xiao Xiao  Deng Juzhi
Institution: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
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.
Keywords:geophysics  electromagnetic prospecting  electromagnetic fields  magnetotellurics  noise  Lu-Zong ore concentration area  
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