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证据权法在新疆卡拉麦里金矿带断层与金矿化空间定量评价中的应用

曹小红 弓小平 韩琼 孟和

曹小红, 弓小平, 韩琼, 等, 2019. 证据权法在新疆卡拉麦里金矿带断层与金矿化空间定量评价中的应用. 地质力学学报, 25 (S1): 157-162. DOI: 10.12090/j.issn.1006-6616.2019.25.S1.027
引用本文: 曹小红, 弓小平, 韩琼, 等, 2019. 证据权法在新疆卡拉麦里金矿带断层与金矿化空间定量评价中的应用. 地质力学学报, 25 (S1): 157-162. DOI: 10.12090/j.issn.1006-6616.2019.25.S1.027
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

证据权法在新疆卡拉麦里金矿带断层与金矿化空间定量评价中的应用

doi: 10.12090/j.issn.1006-6616.2019.25.S1.027
基金项目: 

国家自然科学基金项目 41462004

新疆维吾尔自治区教育厅高校科研计划项目 XJEDU2016S088

新疆维吾尔自治区"十三五"地质工程重点专业 20161812

详细信息
    作者简介:

    曹小红(1985-), 女, 硕士, 实验师, 从事地质教学工作。E-mail:512197696@qq.com

  • 中图分类号: P618.51

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

  • 摘要: 新疆东准噶尔卡拉麦里金矿带是新疆重要的金成矿带之一,相关学者开展了大量的生产和科研工作,取得了丰硕的找矿成果,积累了大量的研究。近年来,随着向深部探测工作的兴起和成矿预测方法的不断成熟,由定性研究向定量研究成为一种必然选择。研究在以往科研成果综合研究的基础上,建立基于ArcGis平台的数据库,应用证据权法开展卡拉麦里金矿带断层与金矿化空间定量评价研究,研究表明断层距离和断层密度为重要的证据权因子,断层距离在0~1500 m范围内,成矿作用最强,随着距离的增大,成矿作用变弱。断层密度在0.26~0.66为中高有利成矿区域。该研究成果对卡拉麦里金矿带深部及外围的找矿工作具有重要意义。

     

  • 图  1  新疆卡拉麦里金矿带地质矿产简图

    1—新生界;2—白垩纪;3—侏罗纪;4—三叠纪;5—二叠纪;6—石炭纪;7—泥盆纪;8—志留纪;9—石炭纪花岗岩;10—石炭纪超镁铁质岩;11—金矿;12—铜矿

    Figure  1.  A brief map of geological minerals in the Kalamaili gold belt of Xinjiang

    图  2  断层密度与金矿成矿有利度分析结果图

    Figure  2.  Analysis of fault density and gold mineralization favorability

    图  3  断层距离与金矿成矿有利度分析结果图

    Figure  3.  Analysis of fault distance and gold mineralization favorability

    表  1  卡拉麦里金矿与断层密度空间关系定量评价表

    Table  1.   Quantitative evaluation table for spatial relationship between the Kalamaili gold deposit and fault density

    级别 面积/km2 单元数 矿床数 W+正权值 W-负权值 反差 学生化反差 综合权重
    0~0.13 22868 22868 4 -0.0002 6.3694 -6.3695 -0.4504 -2.281600
    0.13~0.26 3228 3228 11 1.0536 -2.2816 3.3352 6.4347 1.053600
    0.26~0.40 2490 2490 8 1.1721 -1.0915 2.2636 7.5416 1.053600
    0.40~0.53 2010 2010 10 1.3509 -0.7550 2.1059 7.8334 1.053600
    0.53~0.66 1238 1238 14 1.4893 -0.4617 1.9510 7.3406 1.053600
    0.66~0.80 961 961 4 1.1336 -0.1473 1.2809 3.8156 1.053600
    0.80~0.93 607 607 3 1.3034 -0.0953 1.3987 3.4602 1.053600
    0.93~1.06 330 330 2 1.5291 -0.0564 1.5855 3.0484 1.053600
    1.06~1.20 145 145 1 1.8800 -0.0298 1.9098 2.6396 1.053600
    1.20~1.33 35 35 1 2.8448 -0.0164 2.8612 2.7962 1.053600
    下载: 导出CSV

    表  2  卡拉麦里金矿与断层距离空间关系定量评价表

    Table  2.   Quantitative evaluation table of spatial relationship between the Kalamaili gold deposit and fault distance

    级别/单位 面积/km2 单元数 矿床数 W+正权值 W-负权值 反差 学生化反差
    0~500 5162 5162 28 -0.0002 5.5629 -5.5631 -0.3934
    500~1000 2618 2618 11 -0.2442 0.3514 -0.5956 -2.2619
    1000~1500 2016 2016 10 -0.3982 0.2722 -0.6704 -2.3920
    1500~2000 1435 1435 3 -0.8278 0.2700 -1.0978 -3.0238
    2000~2500 1286 1286 4 -0.9228 0.1923 -1.1151 -2.5840
    2500~3000 925 925 2 -1.6271 0.1579 -1.7850 -2.4794
    3000~3500 956 956 0 0.0000 0.0000 0.0000 0.0000
    3500~4000 774 774 0 0.0000 0.0000 0.0000 0.0000
    下载: 导出CSV

    表  3  卡拉麦里金矿与断层方向空间关系定量评价表

    Table  3.   Quantitative evaluation table for spatial relationship between the Kalamaili gold deposit and fault direction

    级别 面积/km2 单元数 矿床数 W+正权值 W-负权值 反差 学生化反差
    北(0-22.5) 2182 2182 12 -0.0002 5.5629 -5.5631 -0.3934
    北东 2403 2403 10 -0.0768 0.3655 -0.4424 -1.3613
    1077 1077 1 -0.1176 0.2284 -0.3460 -1.2757
    南东 700 700 2 -0.0382 0.0610 -0.0992 -0.3687
    2091 2091 11 -0.0204 0.0276 -0.0481 -0.1809
    南西 2465 2465 8 -0.1555 0.1085 -0.2640 -0.9737
    西 1313 1313 4 -0.1505 0.0530 -0.2035 -0.6621
    北西 765 765 2 -0.1177 0.0264 -0.1440 -0.4136
    北(337.5-360) 2176 2176 8 -0.0391 0.0064 -0.0455 -0.1192
    下载: 导出CSV
  • [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)
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