| 煤田隐伏断层的超低频频谱特征研究 |
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| 引用本文： | 陈理,秦其明,甄广伟,王楠,白琰冰,陈超. 煤田隐伏断层的超低频频谱特征研究[J]. 光谱学与光谱分析, 2013, 33(8): 2132-2136. DOI: 10.3964/j.issn.1000-0593(2013)08-2132-05 |
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| 作者姓名： | 陈理 秦其明 甄广伟 王楠 白琰冰 陈超 |
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| 作者单位： | 1. 北京大学遥感与地理信息系统研究所，北京 100871
2. 昆明理工大学国土资源学院，云南 昆明 650093 |
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| 基金项目： | 国家科技攻关计划重大专项项目 |
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| 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。
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| 关 键 词： | 隐伏断层 超低频 频谱特征 小波变换 |
| 收稿时间： | 2012-12-05 |
Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield |
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| CHEN Li , QIN Qi-ming , ZHEN Guang-wei , WANG Nan , BAI Yan-bing , CHEN Chao. Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield[J]. Spectroscopy and Spectral Analysis, 2013, 33(8): 2132-2136. DOI: 10.3964/j.issn.1000-0593(2013)08-2132-05 |
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| Authors: | CHEN Li QIN Qi-ming ZHEN Guang-wei WANG Nan BAI Yan-bing CHEN Chao |
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| Affiliation: | 1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China2. College of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China |
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| Abstract: | 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. |
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| Keywords: | Buried fault Super-low-frequency Wavelet transform Spectrum characteristics |
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