Volume 25 Issue S1
May  2019
Turn off MathJax
Article Contents
CAO Xiaohong, GONG Xiaoping, HAN Qiong, et al., 2019. APPLICATION OF EVIDENCE WEIGHT METHOD IN QUANTITATIVE EVALUATION OF FAULTS AND GOLD MINERALIZATION IN KALAMAILI GOLD BELT, XINJIANG. Journal of Geomechanics, 25 (S1): 157-162. DOI: 10.12090/j.issn.1006-6616.2019.25.S1.027
Citation: CAO Xiaohong, GONG Xiaoping, HAN Qiong, et al., 2019. APPLICATION OF EVIDENCE WEIGHT METHOD IN QUANTITATIVE EVALUATION OF FAULTS AND GOLD MINERALIZATION IN KALAMAILI GOLD BELT, XINJIANG. Journal of Geomechanics, 25 (S1): 157-162. DOI: 10.12090/j.issn.1006-6616.2019.25.S1.027

APPLICATION OF EVIDENCE WEIGHT METHOD IN QUANTITATIVE EVALUATION OF FAULTS AND GOLD MINERALIZATION IN KALAMAILI GOLD BELT, XINJIANG

doi: 10.12090/j.issn.1006-6616.2019.25.S1.027
More Information
  • Published: 2019-05-01
  • The Kalamaili gold belt in East Junggar is one of the important gold metallogenic belts in Xinjiang. Relevant scholars have carried out a large number of production and scientific research work, and achieved fruitful results in ore-finding, and accumulated a lot of research. In recent years, with the rise of deep exploration and the maturity of mineralization prediction methods, qualitative research has become an inevitable choice. Based on the previous comprehensive research, this research establishes a database platform based on ArcGis platform, and uses the evidence weight method to carry out quantitative evaluation of fault and gold mineralization space. The results show that the fault distance and density are important evidence weight factors. When the fault distance is in the range of 0~1500 m, the mineralization is the strongest. As the distance increases, the mineralization becomes weaker; when the fault density is between 0.26 and 0.66, it is a medium-high favorable ore-forming area. The research results are of great significance for the prospecting work in the deep and peripheral areas of the Kalamaili gold belt.

     

  • Full-text Translaiton by iFLYTEK

    The full translation of the current issue may be delayed. If you encounter a 404 page, please try again later.
  • loading
  • [1]
    林楠, 陈永良, 路来君, 等.基于证据加权模型的青海拉陵灶火地区矿产靶区预测及效果评价研究[J].地球学报, 2016, 37(6):756-762. http://d.old.wanfangdata.com.cn/Periodical/dqxb201606010

    LIN Nan, CHEN Yongliang, LU Laijun, et al. Mineral target prediction and effect evaluation based on weighted evidence model of Lalingzaohuo Area in Qinghai Province[J]. Acta Geoscientica Sinica, 2016, 37(6):756-762. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/dqxb201606010
    [2]
    胡庆武, 林春峰, 余飞, 等.多维GIS矿产评价数据管理系统设计和实现[J].地球科学进展, 2010, 25(9):990-996. http://d.old.wanfangdata.com.cn/Periodical/dqkxjz201009012

    HU Qingwu, LIN Chunfeng, YU Fei, et al. Design and implementation of multi-dimensional GIS-based mineral resource evaluation data management system[J]. Advances in Earth Science, 2010, 25(9):990-996. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/dqkxjz201009012
    [3]
    袁峰, 周涛发, 岳书仓. GIS矿产资源预测中的证据权重法[J].黄金地质, 2003, 9(3):75-77. http://d.old.wanfangdata.com.cn/Periodical/hjdz200303015

    YUAN Feng, ZHOU Taofa, YUE Shucang. Metallogenetic prognosis based on GIS using weights of evidence model[J]. Gold Geology, 2003, 9(3):75-77. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/hjdz200303015
    [4]
    袁峰, 周涛发, 李湘凌, 等.基于GIS的矿产资源预测现状及关键问题[J].合肥工业大学学报(自然科学版), 2004, 27(5):486-489. doi: 10.3969/j.issn.1003-5060.2004.05.007

    YUAN Feng, ZHOU Taofa, LI Xiangling, et al. Present situation of metallogenetic prognosis based on GIS and pivotal problems[J]. Journal of Heifei University of Technology, 2004, 27(5):486-489. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-5060.2004.05.007
    [5]
    AGTERBERG F P. Combining indicator patterns in weights of evidence modeling for resource evaluation[J]. Nonrenewable Resources, 1992, 1(1):39-50. doi: 10.1007/BF01782111
    [6]
    AGTERBERG F P, CHENG Q M. Conditional independence test for weights-of-evidence modeling[J]. Natural Resources Research, 2002, 11(4):249-255. doi: 10.1023/A:1021193827501
    [7]
    李荣, 董国臣, 王硕, 等.基于GIS的证据权重法对三江地区的铜矿成矿预测[J].沉积与特提斯地质, 2011, 31(3):100-106. doi: 10.3969/j.issn.1009-3850.2011.03.016

    LI Rong, DONG Guochen, WANG Shuo, et al. An application of GIS-based evidence weight method to the metallogenic prognosis of the copper deposits in the Jinshajiang-Lancangjiang-Nujiang area, western China[J]. Sedimentary Geology and Tethyan Geology, 2011, 31(3):100-106. (in Chinese with English abstract) doi: 10.3969/j.issn.1009-3850.2011.03.016
    [8]
    杨茂森, 黎清华, 杨海巍. GIS支持下的证据权法在胶东金矿集中区预测中的应用[J].地球学报, 2005, 26(5):487-491. doi: 10.3321/j.issn:1006-3021.2005.05.016

    YANG Maosen, LI Qinghua, YANG Haiwei. Application of the evidence wright method to the prognosis of mineral resources in Jiaodong gold ore concentration area[J]. Acta Geoscientica Sinica, 2005, 26(5):487-491. (in Chinese with English abstract) doi: 10.3321/j.issn:1006-3021.2005.05.016
    [9]
    马伟, 徐素宁, 王润生, 等.基于证据权法的赣南稀土矿山地质环境评价[J].地球学报, 2015, 36(1):103-110. http://d.old.wanfangdata.com.cn/Periodical/dqxb201501014

    MA Wei, XU Suning, WANG Runsheng, et al. Geo-environmental quality assessment of rare-earth mines in southern Jiangxi province using weights-of-evidence modeling[J]. Acta Geoscientica Sinica, 2015, 36(1):103-110. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/dqxb201501014
    [10]
    聂晓勇, 宋谢炎, 薄科武, 等.卡拉麦里金矿带典型矿床——双泉金矿的地质地球化学特征及成因[J].矿物岩石地球化学通报, 2009, 28(2):169-176. doi: 10.3969/j.issn.1007-2802.2009.02.011

    NIE Xiaoyong, SONG Xieyan, BAO Kewu, et al. The geological-geochemical characteristics and genesis of Shuangquan Typical gold deposit in Kalameily belt, East Junggar, Xinjiang[J]. Bulletin of Mineralogy, Petrology and Geochemistry, 2009, 28(2):169-176. (in Chinese with English abstract) doi: 10.3969/j.issn.1007-2802.2009.02.011
    [11]
    陈昌彦, 王思敬.工程岩体断裂构造发育程度的定量评价研究[J].工程地质学报, 2000, 9(2):145-151. http://d.old.wanfangdata.com.cn/Periodical/gcdzxb200102006

    CHEN Changyan, WANG Sijing. Research on quantitative estimation of development degree of fault structures in engineering rock mass[J]. Journal of Engineering Geology, 2000, 9(2):145-151. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/gcdzxb200102006
    [12]
    范留明, 黄润秋, 丁秀美.一种基于结构面密度的岩体结构均质区划分方法[J].岩石力学与工程学报, 2003, 22(7):1132-1136. doi: 10.3321/j.issn:1000-6915.2003.07.016

    FAN Liuming, HUANG Runqiu, DING Xiumei. Analysis on structural homogeneity of rock mass based on discontinuity density[J]. Chinese Journal of Rock Mechanics and Engineering, 2003, 22(7):1132-1136. (in Chinese with English abstract) doi: 10.3321/j.issn:1000-6915.2003.07.016
    [13]
    金曲生, 范建军, 王思敬.结构面密度计算法及其应用[J].岩石力学与工程学报, 1998, 17(3):273-278. http://www.cnki.com.cn/Article/CJFDTotal-YSLX199803008.htm

    JIN Qusheng, FAN Jianjun, WANG Sijing. A new method to calculate density of discontinuity and its application[J]. Chinese Journal of Rock Mechanics and Engineering, 1998, 17(3):273-278. (in Chinese with English abstract) http://www.cnki.com.cn/Article/CJFDTotal-YSLX199803008.htm
    [14]
    谢磊.东准噶尔卡拉麦里成矿带金矿多源信息成矿预测[D].乌鲁木齐: 新疆大学, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10755-1015800639.htm

    XIE Lei. Predicetion using multi-source information of gold mine at Kalamaili mineralization belt in East Junggarr[D]. Urumqi: Xinjiang University, 2015. (in Chinese with English abstract) http://cdmd.cnki.com.cn/Article/CDMD-10755-1015800639.htm
    [15]
    弓小平, 凤骏, 宋相龙, 等.新疆东准噶尔卡拉麦里成矿带成矿预测与高精度遥感信息提取研究[M].北京:地质出版社, 2015.

    GONG Xiaoping, FENG Jun, SONG Xianglong, et al. Study on metallogenic prediction and high precision remote sensing information extraction in Karamairi ore-forming belt of Eastern Junggar, Xinjiang[M]. Beijing:Geological Press, 2015. (in Chinese)
  • 加载中

Catalog

    Figures(3)  / Tables(3)

    Article Metrics

    Article views (192) PDF downloads(13) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return