煤田隐伏断层的超低频频谱特征研究; Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield | |
陈理 ; 秦其明 ; 甄广伟 ; 王楠 ; 白琰冰 ; 陈超 | |
刊名 | 光谱学与光谱分析
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2013 | |
关键词 | 隐伏断层 超低频 频谱特征 小波变换 Buried fault Super-low-frequency Wavelet transform Spectrum characteristics Buried fault Super-low-frequency Wavelet transform Spectrum characteristics |
DOI | 10.3964/j.issn.1000-0593(2013)08-2132-05 |
英文摘要 | 利用超低频电磁探测技术开展煤田隐伏断层超前探测研究目前仍处于探索阶段,但该技术在煤矿生产设计方面具有较强的实际意义.本文首先通过实地布设测线,采集超低频电磁探测信号,利用小波变换对超低频信号进行频谱分析,去除高频噪声;然后,分析横穿断层的测线剖面图,进行地质解译,研究隐伏断层的超低频频谱特征;最后,结合研究区地质和地震资料,对比验证矿区断层构造的特征与分布.结果表明:超低频电磁探测能快速探明隐伏断层信息,是一种辅助探测煤田隐伏断层的有效方法.; Based on the super-low-frequency (SLF) electromagnetic detection technology, the advanced detection for the buried fault in the coalfield is still at the exploratory stage, while the technology has a strong practical significance for production and design of the coal mine. Firstly, in this paper, the SLF electromagnetic detection signals were collected in study area. Spectrum analysis of SLF signal by wavelet transform can remove high-frequency noise. Secondly, the profile of the measuring line across the fault was analyzed and interpreted geologically. Accordingly SLF spectrum characteristics of the buried fault could be researched. Finally, combined with the geological and seismic data, the characteristics and distribution of fault structures can be verified in the mining area. The results show that: the buried fault could be detected quickly and effectively by SLF electromagnetic detection. Hence, SLF electromagnetic detection technology is an effective method for buried fault detection.; 国家科技攻关计划重大专项项目; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000322692200026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; SCI(E); EI; PubMed; 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 中国科学引文数据库(CSCD); 0; 8; 2132-2136; 33 |
语种 | 中文 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/189876] ![]() |
专题 | 地球与空间科学学院 |
推荐引用方式 GB/T 7714 | 陈理,秦其明,甄广伟,等. 煤田隐伏断层的超低频频谱特征研究, Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield[J]. 光谱学与光谱分析,2013. |
APA | 陈理,秦其明,甄广伟,王楠,白琰冰,&陈超.(2013).煤田隐伏断层的超低频频谱特征研究.光谱学与光谱分析. |
MLA | 陈理,et al."煤田隐伏断层的超低频频谱特征研究".光谱学与光谱分析 (2013). |
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