Application of local singularity model to delineate geochemical anomalies in Xiong'ershan gold and molybdenum ore district, Western Henan province, China

被引:40
|
作者
Sun, Xiang [1 ]
Gong, Qingjie
Wang, Qingfei
Yang, Liqiang
Wang, Changming
Wang, Zhongliang
机构
[1] China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Beijing 100083, Peoples R China
关键词
Singularity; Gold and molybdenum anomaly; Xiong'ershan gold and molybdenum ore district; Western Henan province; China; EXPLORATION GEOCHEMISTRY; SPATIAL-ANALYSIS; DEPOSITS; INTERPOLATION; SEPARATION; ELEMENTS;
D O I
10.1016/j.gexplo.2010.06.001
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The local singularity model involved in the context of multifractal theory calculates an index which indicates the local elemental enrichment or depletion and can be used to delineate the weak anomalies. The index, called singularity exponent can be calculated using the total amount model and density model, respectively. The former is based on the power-law relationship between the cumulative concentrations of the neighboring samples in variable cell sizes and cell size, while the latter is between the average concentration and cell size. The influence of the two models on the calculation of the local singularity was estimated in this paper. The total amount model was thought to be preferable in calculating the singularity exponent, which was applied to stream sediment data from the Xiong'ershan gold and molybdenum ore district, Western Henan province, China, and an algorithm based on the window-based method was advanced to map the local singularity distributions of Au and Mo. The thresholds of Au and Mo calculated on the singularity map were used to delineate anomalies which were associated not only with known gold and molybdenum ore deposits in the northern part of EW-trending Machaoying fault, but also with the areas south of Machaoying fault where no gold deposits have yet been discovered. Neither were they clearly identified by the Concentration-Area model and mean + standard deviation of Au concentrations. The results show that weak anomalies hidden within the strong variance of background can be well identified by the local singularity model, and the delineated anomalies should be considered as favorable target areas. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:21 / 29
页数:9
相关论文
共 22 条
  • [21] Application of principal component analysis and a spectrum-area fractal model to identify geochemical anomalies associated with vanadium mineralization in northeastern Jiangxi Province, South China
    Li, Hongli
    Li, Zenghua
    Ouyang, Yongpeng
    Yang, Lifei
    Deng, Youguo
    Jiang, Qibao
    Deng, Teng
    Shang, Pei
    Lin, Yuheng
    Zeng, Haoxuan
    GEOCHEMISTRY-EXPLORATION ENVIRONMENT ANALYSIS, 2022, 22 (03)
  • [22] Identifying Geochemical Anomalies Associated with Gold Mineralization Using Factor Analysis and Spectrum-Area Multifractal Model in Laowan District, Qinling-Dabie Metallogenic Belt, Central China
    Wu, Ruoyu
    Chen, Jianli
    Zhao, Jiangnan
    Chen, Jinduo
    Chen, Shouyu
    MINERALS, 2020, 10 (03)