| 光谱学与光谱分析 |
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| Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield |
| CHEN Li1, QIN Qi-ming1*, ZHEN Guang-wei2, WANG Nan1，BAI Yan-bing1, CHEN Chao1 |
1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China
2. 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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Received: 2012-12-05
Accepted: 2013-03-21
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Corresponding Authors:
QIN Qi-ming
E-mail: qmqinpku@163.com
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