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高分辨电阻率法在云南岩溶地区地下水勘探中的应用 被引量:9

Application of High Resolution Resistivity Method to Groundwater Exploration in Yunnan Karst Regions
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摘要 在西南岩溶地区,对于大多数体积小、埋深大的管道岩溶水的探测,传统装置的直流电法的分辨率不够。高分辨电阻率法采用的装置是单极—偶极装置,在数据采集方面,与高密度电阻率法类似,但它的勘探深度相对更深。本文通过在云南省红河州三个典型工区的应用案例,说明了采用目标异常匹配法的解释方法,高分辨电阻率法在西南岩溶地区可以很好地判断出异常体的位置和大小。所得结果与实际情况吻合较好。为此,针对三个工区的试验和解释结果,建议在测线3和测线5进一步开展深部探测工作。 In the southwest karst area,the resolution of traditional device of direct current method is not enough to detect majority pipeline karst water with small size,large buried depth.High resolution resistivity method uses pole-dipole device to collect data,which is similar to that of high density resistivity method,but the former is relatively deeper in exploration depth.This paper deals with three typical application cases in Honghe of Yunnan province,and explains the adoption of target abnormal matching method.The high resolution resistivity method can determine the size and location of the abnormal body,and theresults obtained are in line with actual situation.Therefore,in view of the experiments and their results of the three test areas,deep exploration work is suggested to be undertaken in line 3and line 5.
出处 《工程地球物理学报》 2014年第3期402-405,共4页 Chinese Journal of Engineering Geophysics
关键词 高分辨电阻率法 单极—偶极装置 目标异常匹配法 岩溶地区 High resolution resistivity method pole-dipole device abnormal target matc-hing method karst region
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  • 1陈明生,闫述,陆俊良,曹印三,张媛.二维高分辨自动地电阻率探测地下洞穴技术[J].煤田地质与勘探,1995,23(3):45-50. 被引量:9
  • 2刘建华,彭向峰,孙智峰.高分辨率地震技术探测采空区研究——以贾汪煤矿区为例[J].高校地质学报,1996,2(4):453-457. 被引量:12
  • 3[6]刘盛东,吴荣新,胡水根,等.网络分布式并行电法勘探系统[M].成都:四川出版集团,2006.
  • 4Manjunath B S ,Ma W Y.Texture features for browsing and retrieval of image data[J].IEEE Trans PAMI,1996,18(8) :837-842.
  • 5Ma W Y,Manjunath B S.Texture features and learning similarity[A].Proceedings Trails CVPR'96[C].1996.425-430.
  • 6Chang T, Kuo C C LTexture analysis and classification with treestructured wavelet transform[J].IEEE Trans on Image Processing,1993,2(4) :429-441.
  • 7Shirazi M N,Noda H,Takao N.Texture Modeling and Classification in Wavelet Feature Space[A].ICIP[C].2000,1.272-275.
  • 8Porat M ,Zeevi Y Y.The generalized gabor scheme of image representation in biological and machine vision[J].IEEE PAMI, 1988,10(4) :452-468.
  • 9Kingsbury N G.The dual-tree complex wavelet transform:a new technique for shift invariance and directional filters[A].In Proc 8th IEEE DSP Workshop [C].USA : Bryce Canyon LIT, 1998.
  • 10Kingsbury N G. The dual-tree complex wavelet transform:a new efficient tool for image restoration and enhancement[A].In Proc EUSIPCO 98[C]. Greece:Rhodes,1998.319-322.

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