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分形(多重分形)在区域化探数据处理中的应用——以柴北缘荒漠戈壁景观区为例 被引量:6

Fractal / multifractal modeling of geochemical exploration data in desert landscape area of Qaidam Basin
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摘要 通过搜集柴北缘1∶20万区域地球化学数据,运用分形(多重分形)方法来确定荒漠戈壁景观区受风成沙影响的地球化学异常特征,并利用C-A和S-A模型分别探讨了景观地区Au的地球化学异常特征。研究表明,C-A模型在确定异常下限时有优势,但也存在局限性;S-A模型能够很好地排除背景场和干扰因素,缩小异常面积,突出弱小异常。基于该方法提取的异常元素区域能够较好地识别出绝大多数已知矿床,同时指示了值得作进一步异常查证的空白成矿元素异常区域,为勘查工作提供参考,值得开展下一步的找矿工作。 On the basis of previous work,the authors collected 1 ∶ 200 000 regional geochemical data along the northern margin of Qaidam Basin,used fractal( multifractal) method to determine geochemical anomaly characteristics in Gobi desert area of eolian sand,and adopted the C-A and S-A model to investigate the characteristics of geochemical anomaly of Au element influenced by eolian sand in the Gobi desert area. The results show that C-A model has advantages in determining the threshold but still has some limitations. S-A model can well eliminate the background field and interference factors,reduce the area of anomaly,and can make prominent the small weak anomaly. The method of extracting the region of anomalous elements can be used to identify the vast majority of known ore deposits and indicate the further anomal anomaly area of ore-forming elements based on the geochemical data,thus providing a reference for further exploration.
出处 《物探与化探》 CAS CSCD 2016年第3期550-556,560,共8页 Geophysical and Geochemical Exploration
基金 中国地质调查局项目(1212011121204)
关键词 分形(多重分形) 荒漠戈壁景观区 地球化学异常 成矿元素 异常区域 fractal(multifractal) Gobi desert landscape area geochemical anomaly characteristics metallogenic elements anomaly region
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  • 1Cheng Q, Agterberg F P, Ballantyne S B. The separation of geochemical anomalies from background by fractal methods[J]. Journal of Geochemical Exploration, 1994, 51(2): 109-130.
  • 2Zuo R. Identification of geochemical anomalies associated with mineralization in the Fanshan district, Fujian, China[J]. Journal of Geochemical Exploration, 2014, 139(1): 170-176.
  • 3Nouri R. Correlation between Cu mineralization and major faults using multifractal modelling in the Tarom area (NW Iran)[J].Geologica Carpathica, 2013, 64(5):409-416.
  • 4Zhao J, Chen S, Zuo R. Identifying geochemical anomalies associated with Au-Cu mineralization using multifractal and artificial neural network models in the Ningqiang district, Shaanxi, China[J].Journal of Geochemical Exploration, 2015, 164:54-64.
  • 5Cheng Q, Xu Y, Grunsky E. Integrated Spatial and Spectrum Method for Geochemical Anomaly Separation[J]. Natural Resources Research, 2000, 9(1): 43-52.
  • 6Zuo R, Carranza E J M, Cheng Q. Fractal/multifractal modelling of geochemical exploration data[J]. Journal of Geochemical Exploration, 2012, 122(1): 1-3.
  • 7Zuo R, Xia Q, Zhang D. A comparison study of the C-A and S-A models with singularity analysis to identify geochemical anomalies in covered areas[J].Applied Geochemistry, 2013, 33(6):165-172.
  • 8陈永清,张生元,夏庆霖,李文昌,卢映祥,黄静宁.应用多重分形滤波技术提取致矿地球化学异常:以西南“三江”南段Cu、Zn致矿异常提取为例[J].地球科学(中国地质大学学报),2006,31(6):861-866. 被引量:27
  • 9成秋明. 应用复杂性—非线性理论开展成矿预测——奇异性理论—广义自相似性—分形谱系多重分形理论与应用[C]//第八届全国矿床会议, 2006:463-466.
  • 10申维.分形不变分布及其在山东地区金矿床中的应用[J].地学前缘,2008,15(4):65-70. 被引量:15

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