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东天山地区Cu-Au异常信息提取与评价
引用本文:黄静宁,赵鹏大.东天山地区Cu-Au异常信息提取与评价[J].地球科学,2011,36(2):317-326.
作者姓名:黄静宁  赵鹏大
作者单位:1.中国地质博物馆,北京 100034
摘    要:东天山成矿带是我国重要的铜金矿集区之一.复杂的地质演化历史导致了成矿地质背景的复杂性、成矿作用的多期性和多样性.本文分别应用地质统计学和多重分形滤波法(S-A法)对Cu、Au含量数据进行分析,获取了不同层次的致矿异常信息.结果表明:(1)东天山地区Cu、Au含量最大变程分别为80 km和47 km,最大变程方向与深大断裂走向一致,表明Cu、Au异常受深大断裂控制;Cu含量分布比Au具有更好的连续性,Cu的含量变化表现出较强的结构性特征,而Au的含量变化表现出更强的随机性特征.(2)泛克立格法和多重滤波分形分析中的低通滤波获取致矿异常信息具有相似性,均反映Cu、Au区域上的分布趋势和浓集特征.(3)多重分形滤波法能够提取不同层次的致矿异常信息,包括区域异常信息和局部异常信息,S-A法揭示的局部Cu异常突出了某些低背景中的隐蔽异常;而呈北东向串珠状分布的局部Au异常,可能暗示区内NE向次级断裂系统控制了金矿床的发育. 

关 键 词:地质统计学    多重分形滤波    Cu-Au异常提取    东天山成矿带
收稿时间:2010-10-22

Extraction and Assessment of Cu-Au Anomalies of the East Tianshan Ore-Forming Belt,Northwestern China
HUANG Jing-ning,ZHAO Peng-da.Extraction and Assessment of Cu-Au Anomalies of the East Tianshan Ore-Forming Belt,Northwestern China[J].Earth Science-Journal of China University of Geosciences,2011,36(2):317-326.
Authors:HUANG Jing-ning  ZHAO Peng-da
Abstract:The east Tianshan ore-belt is one of the most important ore concentrated districts of Cu-Au in China. Long and complicated geological evolution created a complex geological background, multi-periods and diversity of mineralization. In this study, stream sediment survey data of Cu-Au are used for spatial distribution analysis, and then Geostatistical method and Spectrum-Area (S-A) method are implemented to obtain ore-forming information at different scale. The research results are as follows: (1) the modeling semivirograms show the max range of Cu and Au are 80 km and 47 km, the direction of max range is along the trend of regional deep faults, which are the major factors controlling the distribution of Cu, Au concentration. Cu concentration exhibits more strong structure character than Au in region. (2) Both low pass filtering in S-A and universal Kringing can obtain the similar ore forming information which reflect the regularity of enrichment of ore-forming elements caused by regional mineralization. (3) Multi-fractal filtering can effectively decompose the concentration data from stream sediment survey in complicated geological setting into different hierarchy, including local anomalies and regional anomalies. Different anomaly filters defined in ln(Spectrum)-ln(Area) plot can be constructed to obtain Cu and Au anomalies at different scale. The local Cu anomalies obtained by S-A method are spatially associated with known Cu deposits, which reveal some conceal ore-forming information in low background. The local anomalies of Au in pinch-and-swell and oriented in North-East trend obtained by S-A method may imply that the gold mineralization is controlled by sub-fault system in NE trend. 
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