吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (5): 1419-1428.doi: 10.13278/j.cnki.jjuese.201705107

• 地质与资源 • 上一篇    下一篇

证据权重法在黑龙江省伊春地区铅锌矿成矿预测中的应用

张恩1,2, 李名松1, 卢辉雄1,2, 李怀渊1, 全旭东1, 汪冰1, 董双发1   

  1. 1. 核工业航测遥感中心, 石家庄 050002;
    2. 东华理工大学地球科学学院, 南昌 330013
  • 收稿日期:2016-12-23 出版日期:2017-09-26 发布日期:2017-09-26
  • 作者简介:张恩(1985),男,硕士研究生,工程师,主要从事矿产勘查及成矿预测研究,E-mail:zhangen600@126.com
  • 基金资助:
    中国地质调查局地质调查项目（1212011087007，1212011220560）

Application of Weight Evidence Method to Lead-Zinc Metallogenic Prognosis in Yichun Area,Heilongjiang Province

Zhang En1,2, Li Mingsong1, Lu Huixiong1,2, Li Huaiyuan1, Quan Xudong1, Wang Bing1, Dong Shuangfa1   

  1. 1. Airborne Survey and Remote Sensing Center of Nuclear Industry, Shijiazhuang 050002, China;
    2. Faculty of Earth Sciences, East China Institute of Technology, Nanchang 330013, China
  • Received:2016-12-23 Online:2017-09-26 Published:2017-09-26
  • Supported by:
    Supported by Geological Survey Project of China Geological Survey(1212011087007, 1212011220560)

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摘要： 伊春地区为黑龙江省重要的铅锌矿集区，矽卡岩型铅锌矿成矿地质条件优越。在成矿条件分析的基础上，借助GIS平台，应用证据权重法优选了地质、物探、化探、遥感等方面的15个证据层，划分了三级远景区，共圈定77处远景区。其中，81.08%的已知矿床（点）位于远景区内，表明本次预测结果较为可靠；54处远景区尚未发现铅锌矿床，其与已知矿床具有相似的成矿条件，有望取得找矿突破，在后续勘查工作中应给予足够的重视。

关键词: 证据权重法, 铅锌矿, 成矿预测, 伊春

Abstract: Yichun area is an important lead-zinc ore district in Heilongjiang Province, where the metallogenic geological conditions of skarn lead-zinc mine are superior. Based on the probe into the metallogenic conditions, 15 evidence layers from geological, geophysical, geochemical and remote sensing are optimized and constructed through spatial analysis of the GIS system. Three class metallogenic prospect areas have been divided and seventy-seven prospective areas of lead zinc have been circled finally by the evidence weight model. 81.08% of the known deposits (points) are located in the prospective areas, indicating the reliability of the prediction results. Among them,fifty-four prospective areas have not found lead-zinc deposit and they have the similar metallogenic conditions with known deposits. Thus, big attention should be paid to these areas for a prospecting breakthrough.

Key words: evidence weighting method, lead-zinc deposit, metallogenic prediction, Yichun'

中图分类号: 

  • P612
[1] 薛顺荣,肖克炎,丁建华.基于MRAS的证据权重法在香格里拉地区的综合信息成矿预测[J].吉林大学学报(地球科学版),2008,38(5):738-744. Xue Shunrong, Xiao Keyan, Ding Jianhua. Multi-Source Information Metallogenic Prognosis with Weighting of Evidence Based on MRAS in Shangri-La[J]. Journal of Jilin University(Earth Science Edition),2008,38(5):738-744.
[2] Agterberg F P. Computer Programs for Mineral Exploration[J]. Science,1989,245:76-81.
[3] Bonham Carter G F, Agterberg F P, Wright D F. Integration of Geological Datasets for Gold Exploration in Nova Scotia[J]. Photogrammetry and Remote Sensing,1988,54:1585-1592.
[4] 刘世翔,薛林福,郄瑞卿,等.基于GIS的证据权重法在黑龙江省西北部金矿成矿预测中的应用[J].吉林大学学报(地球科学版),2007,37(5):889-894. Liu Shixiang, Xue Linfu, Qie Ruiqing, et al. An Application of GIS-Based Weights of Evidence for Gold Prospecting in the Northwest of Heilongjiang Province[J]. Journal of Jilin University(Earth Science Edition),2007,37(5):889-894.
[5] 邓勇,邱瑞山,罗鑫.基于证据权重法的成矿预测:以广东省钨锡矿的成矿预测为例[J].地质通报,2007,26(9):1228-1234. Deng Yong, Qiu Ruishan, Luo Xin. Minerogenetic Prediction Based on the Weight-of-Evidence Approach:A Case Study of the Prediction of Tungsten and Tin Deposits in Guangdong, China[J].Geologcal Bulletin of China, 2007, 26(9):1228-1234.
[6] 刘晓玲,陈建平.基于GIS的证据权重法在内蒙古阿鲁科尔沁旗地区成矿预测中的应用[J].地质通报,2010,29(4):571-580. Liu Xiaoling, Chen Jianping. Application of GIS-Based Weights of Evidence Method for Mineral Quantitative Prediction:A Case Study on Alukerqin Area, Inner Mongolia, China[J].Geologcal Bulletin of China, 2010,29(4):571-580.
[7] 陈永清,汪新庆,陈建国,等.基于 GIS 的矿产资源综合定量评价[J].地质通报,2007,26(2):141-149. Chen Yongqing, Wang Xinqing, Chen Jianguo, et al. GIS-Based Integrated Quantitative Assessments of Mineral Resources[J].Geologcal Bulletin of China,2007,26(2):141-149.
[8] 张恩,李名松,汪冰,等.基于GIS的证据权重法在小兴安岭北段金矿预测中的应用[J].物探与化探,2015,39(4):755-760. Zhang En, Li Mingsong, Wang Bing, et al. The Application of GIS Evidence Weight Method to the Gold Metallogenic Prognosis in the Northern Part of the Xiao Hinggan Mountains[J]. Geophysical and Geochemical Exploration,2015,39(4):755-760.
[9] 孙艳霞,张达,王长明,等. 证据权重法在新矿床类型成矿预测中的应用[J].金属矿山,2010(9):79-83. Sun Yanxia, Zhang Da, Wang Changming, et al. Application of Weights-of-Evidence Method in Metallogenic Prediction of New-Type Ore Deposits[J]. Metal Mine,2010(9):79-83.
[10] 张恩,汪冰,王瑞军,等.基于MORPAS的证据权重法在沽源盆地铀成矿预测中的应用[J].地质找矿论丛,2013,28(4):540-545. Zhang En, Wang Bing, Wang Ruijun, et al. An Application of MORPAS-Based Weight Evidence Method to Uranium Metallogentic Prognosis in Guyuan Basin[J].Contributions to Geology and Mineral Resources Research,2013,28(4):540-545.
[11] 张振庭.黑龙江省伊春地区铅锌多金属矿产预测[D].长春:吉林大学,2010. Zhang Zhenting. Forecast of Lead Zinc Polymetallic Ore in Yichun of Heilongjiang[D]. Changchun:Jilin University,2010.
[12] 梁福来.黑龙江省二股-翠宏山地区多金属矿床成矿地质条件及找矿方向[D].长春:吉林大学,2011. Liang Fulai. Metallogenic Condition and Prospecting Target of Polymetalic Deposit in the Ergu-Cuihongshan Area, Yichun, Heilongjiang Province[D].Changchun:Jilin University,2011.
[13] 李姗. 小兴安岭-张广才岭地区地球化学特征分析及成矿预测[D].北京:中国地质大学(北京),2014. Li Shan. Geochemical Characteristics Analysis and Metallogenic Rediction of Xiaoxing'an Mountains-Zhangguangcai Mountains Area[D]. Beijing:China University of Geosciences(Beijing),2014.
[14] 常兴国.黑龙江伊春-延寿成矿带铅锌成矿预测[D].北京:中国地质大学(北京),2011. Chang Xingguo. Lead-Zinc are Prediction in Yichun-Yanshou Metallogenic Belt of Heilongjiang Province[D]. Beijing:China University of Geosciences(Beijing),2011.
[15] 吴小军.黑龙江省前进东山铅锌矿床地质特征及成因[D].长春:吉林大学,2008. Wu Xiaojun. Geological Characteristic and Origin of Lead-Zinc Deposit in Qianjindongshan Heilongjiang Province[D]. Changchun:Jilin University,2008.
[16] 纪睿. 黑龙江省徐老九沟铅锌矿床地质特征及成因研究[D].长春:吉林大学,2015. Ji Rui. Geological Characterisitics and Genesis Mechanism of the Xulaojiugou Pb-Zn Deposit, Heilongjiang Province[D]. Changchun:Jilin University,2015.
[17] 刘志宏. 黑龙江省翠宏山钨钼锌多金属矿床地质特征及成因[D].长春:吉林大学,2009. Liu Zhihong. Geological Characteristic and Origin of Deposit in Cuihongshan W、Mo、Zn Polymetatic Deposit[D]. Changchun:Jilin University,2009.
[18] 彭少飞.黑龙江翠宏山铁多金属矿区重磁资料处理解释[D].长春:吉林大学,2012. Peng Shaofei. The Gravity and Magnetic Data Processing and Interpretation on the Iron Mine of Cuihongshan, Heilongjiang Province[D]. Changchun:Jilin University,2012.
[19] 韩振哲,赵海玲,李娟娟,等.小兴安岭东南伊春一带早中生代花岗岩与多金属成矿作用[J].中国地质,2010,37(1):74-87. Han Zhenzhe, Zhao Hailing, Li Juanjuan, et al. Early Mesozoic Granites and Polymetallic Mineralization in Southeastern Yichun Area, Xiao Hinggan Mountains[J]. Chinese Geology,2010,37(1):74-87.
[20] 李迎春,韩振哲,吴淦国,等. 黑龙江伊春地区早中生代花岗岩成矿作用及成矿能力差异性探讨[J].地质与勘探,2013,49(1):28-38. Li Yingchun, Han Zhenzhe, Wu Ganguo, et al. Metallogenesis and Metallogenic Differences of the Early Mesozoic Granites in the Yichun Area, Heilongjiang Province[J]. Geology and Prospecting,2013,49(1):28-38.
[21] 石磊. 安徽庐枞地区铜(金)矿床地质地球化学特征及成因[D].合肥:合肥工业大学,2011. Shi Lei. Geological and Geochemical Characteristics and Genesis of the Copper(Gold)Deposits in Luzong Area of Anhui Province, China[D].Hefei:Hefei University of Technology,2011.
[22] 倪卫冲,沈正新,蔡文军,等.黑龙江省小兴安岭1:5万航空物探调查[R].石家庄:核工业航测遥感中心,2015. Ni Weichong, Shen Zhengxin, Cai Wenjun, et al. The Report of 1:50 000 Aerogeophysical Survey in Xiao Hinggan Mountains,Heilongjiang Province[R].Shijiazhuang:Airborne Survey and Remote Sensing Center of Nuclear Industry,2015.
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