基于证据权重法的海南岛金多金属矿成矿预测研究

吴传军; 许德如; 郭涛; 周迎春; 侯茂洲; 周岳强

基于证据权重法的海南岛金多金属矿成矿预测研究

吴传军^{1, 2,},
许德如^1, ,,
郭涛³,
周迎春⁴,
侯茂洲^{1, 2},
周岳强^{1, 2}

1.
中国科学院广州地球化学研究所矿物学与成矿学重点实验室, 广州 510640
2.
中国科学院大学地球科学学院, 北京 100049
3.
中国地质科学院地质力学研究所, 北京 100081
4.
海南省地质调查院, 海口 570206

基金项目:

国家找矿突破行动计划专项 1212011220710

详细信息

作者简介:
吴传军（1985-），男，博士研究生，构造地质学专业。E-mail：wuchuanjun321@126.com

通讯作者:
许德如（1966-），男，研究员，博士生导师，主要从事大陆边缘与成矿学研究。E-mail：Xuderu@gig.ac.cn

中图分类号: P612
计量
- 文章访问数: 137
- HTML全文浏览量: 92
- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2013-09-28
- 刊出日期: 2014-03-28

STUDY ON METALLOGENIC PROGNOSIS FOR GOLD POLYMETALLIC DEPOSITS IN HAINAN ISLAND BASED ON EVIDENCE WEIGHTING METHOD

WU Chuan-jun^{1, 2
,},
XU De-ru^{1
, ,},
GUO Tao³,
ZHOU Ying-chun⁴,
HOU Mao-zhou^{1, 2},
ZHOU Yue-qiang^{1, 2}

1.
Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, CAS, Guangzhou 510640, China
2.
College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China
3.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China
4.
Hainan Geological Survey Institute, Haikou 570206, China

摘要

摘要: 在系统总结海南岛金多金属矿区域成矿规律的基础上，分析并提取了包括地层、构造、岩浆岩、航磁、化探、遥感等多元有利找矿证据因子，建立了海南岛金多金属矿证据权重预测模型，并采用MRAS软件证据权重模块对研究区进行2 km×2 km的网格单元划分及后验概率计算。根据网格单元后验概率计算值大小及地质矿产空间分布特征，将研究区分三级进行了成矿远景区圈定：A级成矿远景区3个，B级成矿远景区4个、C级成矿远景区24个。研究结果表明，90%的已知矿床（点）位于成矿远景区，显示了良好的预测效果，其结果为该区的找矿工作提供了重要的科学依据。
- 证据权重法 /
- 成矿预测 /
- 金多金属矿 /
- 海南岛
Abstract: Based on systematical analysis of regional metallogenic regularity of gold polymetallic deposits in Hainan Island, multivariate favorable geological evidences such as strata, structure, magmatic rock, aeromagnetic, geochemical exploration, and remote sensing data were analyzed and extracted. With the help of MRAS, the authors established an evidence weight prediction model for gold polymetallic deposits in this area. The study area was divided into 2 km×2 km grid units at first and then the posterior probability of every grid unit was calculated. According to the magnitude of evidence weight and the distribution characteristics of mineral resources, the study area was classified into 3 A-level prospective targets, 4 B-level prospective targets and 24 C-level prospective targets. Research results showed that about 90% deposits were located in metallogenic prospective area showing a good prediction effect, which provided an important scientific basis for prospecting work in this region.
- evidence weighting method /
- metallogenic prognosis /
- gold polymetallic deposit /
- Hainan Island

HTML全文

图 1 海南岛地质简图^[12]

Figure 1. Generalized geological map of the Hainan Island

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图 2 海南岛地层组合熵异常图

Figure 2. Entropy anomalies of the strata in Hainan Island

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图 3 航磁ΔT化极等值线平面图

Figure 3. A contour map of aeromagnetic ΔT

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图 4 航磁ΔT化极垂向一阶导数平面图

Figure 4. A contour map of vertical first derivative of aeromagnetic ΔT

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图 5 遥感羟基异常蚀变信息图

Figure 5. A hydroxyl alteration anomaly map extracted from ETM data

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图 6 遥感铁染异常蚀变信息图

Figure 6. An iron alteration map extracted from ETM data

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图 7 海南岛金多金属矿预测后验概率色块图

Figure 7. A color block map of posterior probability for gold polymetallic prognosis in Hainan Island

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图 8 海南金多金属矿预测远景区

Figure 8. Prospective areas of gold polymetallic deposits in Hainan Island

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表 1 地质证据因子先验概率及权重值

Table 1. Prior probability and weighing values of geological evidence factors

序号	证据因子名称	条件概率1	条件概率2	条件概率3	条件概率4	正权重值	负权重值	相关系数
1	抱板群	0.234375	0.025034	0.765625	0.974966	2.236696	-0.24171	2.478406
2	古生界浅变质岩	0.078125	0.008250	0.921875	0.991750	2.248125	-0.073062	2.321187
3	白垩纪火山岩	0.078125	0.013015	0.921875	0.986985	1.792229	-0.068245	1.860474
4	地层组合熵	0.953125	0.533604	0.046875	0.466396	0.580093	-2.297551	2.877644
5	深大断裂缓冲区	0.660714	0.404478	0.339285	0.595521	0.490723	-0.562594	1.053317
6	次级断裂缓冲区	0.671875	0.311144	0.328125	0.688856	0.769816	-0.741637	1.511453
7	韧性剪切带	0.109375	0.010952	0.890625	0.989048	2.301235	-0.104819	2.406054
8	褶皱缓冲区	0.187500	0.035275	0.812500	0.964725	1.670608	-0.171727	1.842335
9	印支期中酸性岩体	0.156250	0.048432	0.843750	0.951568	1.171300	-0.120255	1.291555
10	燕山期中酸性岩体	0.203125	0.109309	0.796875	0.890691	0.619639	-0.111299	0.730938
11	航磁异常梯度区	0.046875	0.012019	0.953125	0.987981	1.360991	-0.035917	1.396908
12	金地球化学异常	0.671875	0.095086	0.328125	0.904914	1.955294	-1.014446	2.969740
13	钼地球化学异常	0.406250	0.047792	0.593750	0.952208	2.140115	-0.472325	2.612440
14	铅锌地球化学异常	0.390625	0.044449	0.609375	0.955551	2.173401	-0.449854	2.623255
15	钨地球化学异常	0.203125	0.044947	0.796875	0.955053	1.508337	-0.181069	1.689406
16	铜地球化学异常	0.334375	0.112338	0.665625	0.887661	1.739260	-0.260955	2.000215
17	银地球化学异常	0.390625	0.062087	0.609375	0.937913	1.839217	-0.431224	2.270441
18	遥感羟基蚀变异常	0.171875	0.080009	0.828125	0.919991	0.764634	-0.1052	0.869834
19	遥感铁染蚀变异常	0.421875	0.259228	0.578125	0.740772	0.487002	-0.247903	0.734905
20	遥感环状构造	0.093750	0.025247	0.906250	0.974753	1.311919	-0.072869	1.384788
注:条件概率1—矿点出现时, 证据因子出现的概率; 条件概率2—矿点没出现时, 证据因子出现的概率; 条件概率3—矿点出现时, 证据因子没有出现的概率; 条件概率4—矿点没有出现时, 证据因子没有出现的概率

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参考文献(34)

[1]	肖克炎, 张晓华, 王四龙, 等.矿产资源GIS评价系统[M].北京:地质出版社, 2000. XIAO Ke-yan, ZHANG Xiao-hua, WANG Si-long, et al. Mineral resource assessment system with GIS[M]. Beijing: Geological Publishing House, 2000.
[2]	陈建平, 陈勇, 王全明.基于GIS的多元信息成矿预测研究——以赤峰地区为例[J].地学前缘, 2008, 15(4):18~26. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200804004.htm CHEN Jian-ping, CHEN Yong, WANG Quan-ming. Study on synthetic informational mineral resource prediction using GIS: A case study in Chifeng region, Inner Mongolia, China [J]. Earth Science Frontiers, 2008, 15(4): 18~26. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200804004.htm
[3]	Agterberg F P. Computer programs for mineral exploration [J]. Science, 1989, 245: 76~81. doi: 10.1126/science.245.4913.76
[4]	Bonham-Carter G F, Agterberg F P, Wright S F. Integration of geological datasets for gold exploration in Nova Scotia[J]. Photogrammetry and Remote Sensing, 1988, 54: 1585~1592. doi: 10.1029/SC010p0015/references
[5]	CHENG Qiu-ming, Agterberg F P. Fuzzy weights of evidence method and its application in mineral potential mapping [J]. Natural Resources Research, 1999, 8(1): 27~35. doi: 10.1023/A:1021677510649
[6]	Agterberg F P, CHENG Qiu-ming. Conditional independence test for weights-of-evidence modeling[J]. Natural Resources Research, 11(4): 249~255. doi: 10.1023/A:1021193827501
[7]	张生元, 成秋明, 张素萍, 等.加权证据权模型和逐步证据权模型及其在个旧锡铜矿产资源预测中的应用[J].地球科学:中国地质大学学报, 2009, 34(2):281~286. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200902008.htm ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, et al. Weighted weights of evidence and stepwise weights of evidence and their applications in Sn-Cu mineral potential mapping in Gejiu, Yunnan Province, China[J]. Earth Science: Journal of China University of Geosciences, 2009, 34(2): 281~286. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200902008.htm
[8]	游远航, 杨建中, 胡明, 等.找矿信息量法在成矿预测中的应用——以武当西缘铅锌铜矿预测为例[J].地质找矿论丛, 2006, 21(1):58~62. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200601012.htm YOU Yuan-hang, YANG Jian-zhong, HU Ming, et al. Application of prospecting information contents method for minerogenetic prediction: A case study on prediction of lead-zinc-copper deposit in Western Wudang area[J]. Contributions to Geology and Mineral Resources Research, 2006, 21(1): 58~62. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200601012.htm
[9]	邓勇, 邱瑞山, 罗鑫, 等.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. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200709027.htm DENG Yong, QIU Rui-shan, LUO Xin, et al. Minerogenetic prediction based on the weight-of-evidence approach: A case study of the prediction of tungsten and thin deposits in Guangdong, China [J]. Geological Bulletin of China, 2007, 26(9): 1228~1234. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200709027.htm
[10]	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):889~893. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200705006.htm LIU Shi-xiang, XUE Lin-fu, QIE Rui-qing, et al. An application of GIS-based weithts of evidence for gold prospeciting in the northwest of Heilongjiang Province [J]. Journal of Jilin University: Earth Science Edition, 2007, 37(5): 889~893. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200705006.htm
[11]	孙岩, 王训练, 陈建平, 等.基于证据权重法的沱沱河地区铅锌银矿成矿预测[J].地质通报, 2010, 29(4):556~564. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201004011.htm SUN Yan, WANG Xun-lian, Chen Jian-ping, et al. Lead-zinc-silver metallogenic prediction based on GIS in Tuotuo River region, Qinghai, China [J]. Geological Bulletin of China, 2010, 29(4): 556~564. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201004011.htm
[12]	许德如, 肖勇, 夏斌, 等.海南石碌铁矿床成矿模式与找矿预测[M].北京:地质出版社, 2009. XU De-ru, XIAO Yong, XIA Bin, et al. Metallogenic mode and prospecting prediction of Shilu iron deposit in Hainan Province[M]. Beijing: Geological Publishing House, 2009.
[13]	陈哲培, 何圣华, 陈贻川, 等.海南省岩石地层[M].北京:中国地质大学出版社, 1997. CHEN Zhe-pei, HE Sheng-hua, CHEN Yi-chuan, et al. Lithostratic stratigraphy of the Hainan Province [M].Beijing:China University of Geosciences Press, 1997.
[14]	马大铨, 黄香定, 陈哲培, 等.海南省抱板群研究的新进展[J].中国区域地质, 1997, 16(2):130~136. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD702.002.htm MA Da-quan, HUANG Xiang-ding, CHEN Zhe-pei, et al. New advanced in the study of the Baoban Group in Hainan Province [J]. Regional Geology of China, 1997, 16(2): 130~136. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD702.002.htm
[15]	Xu Deru, Wang Zhilin, Cai Jianxin, et al. Geological characteristics and metallogenesis of the Shilu Fe-ore deposit in Hainan Province, South China [J]. Ore Geology Reviews, 2013, 53: 318~342. doi: 10.1016/j.oregeorev.2013.01.015
[16]	廖香俊, 王平安, 丁式江, 等.海南岛主要成矿系列与矿床成矿规律研究[J].地质力学学报, 2005, 11(2):187~193. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20050228&journal_id=dzlxxb LIAO Xiang-jun, WANG Ping-an, DING Shi-jiang, et al. Main minerogeneric series and metallogenic characteristics on Hainan Island [J]. Journal of Geomechanics, 2005, 11(2): 187~193. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20050228&journal_id=dzlxxb
[17]	战明国, 张树淮, 刘国庆.海南岛西部戈枕含金剪切带及其金矿成矿系列[J].矿床地质, 1996, 15(4):289~297. http://www.cnki.com.cn/Article/CJFDTOTAL-KCDZ604.000.htm ZHAN Ming-guo, ZHANG Shu-hai, LIU Guo-qing. The Gezhen auriferous shear zone and related metallogenic series in western Hainan Island[J]. Mineral Deposits, 1996, 15(4): 289~297. http://www.cnki.com.cn/Article/CJFDTOTAL-KCDZ604.000.htm
[18]	肖力, 周遗军, 邹依林.海南戈枕金矿带金矿床剪切成矿模式研究[J].矿产与地质, 1999, 13(71):148~152. http://www.cnki.com.cn/Article/CJFDTOTAL-KCYD903.003.htm XIAO Li, ZHOU Yi-jun, ZOU Yi-lin. Study on shearing metallogenic model of gold deposits in Gezhen gold belt, Hainan [J].Mineral Resources and Geology, 1999, 13(71): 148~152. http://www.cnki.com.cn/Article/CJFDTOTAL-KCYD903.003.htm
[19]	涂绍雄.海南岛金矿分布规律及成矿地质条件的初步研究[J].地质找矿论丛, 1992, 7(3):71~82. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK199203006.htm TU Shao-xiong. Metallogenic geologic conditions of the gold deposits in Hainan Island [J]. Contributions to Geology and Mineral Resources Research, 1992, 7(3): 71~82. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK199203006.htm
[20]	饶家光, 黄香定, 涂绍雄, 等.海南岛西部戈枕金带的成矿演化——以二甲—不磨地区主要金矿床为例[J].华南地质与矿产, 1996, (3):12~22. http://www.cnki.com.cn/Article/CJFDTOTAL-HNKC199603001.htm RAO Jia-guang, HUANG Xiang-ding, TU Shao-xiong, et al. Metallogenetic evolution of the Gezhen gold deposit belt in western Hainan Island, China: With the main deposits in Erjia-Bumo area as examples[J]. Geology and Mineral Resources of South China, 1996, (3): 12~22. http://www.cnki.com.cn/Article/CJFDTOTAL-HNKC199603001.htm
[21]	王春宏, 聂风莲, 刘纲, 等.海南省金矿成矿规律及找矿方向[J].黄金地质, 2002, 8(1):11~16. http://www.cnki.com.cn/Article/CJFDTOTAL-HJDZ200201002.htm WANG Chun-hong, NIE Feng-lian, LIU Gang, et al. Metallogenic rules and directions for prospecting gold deposit in Hainan[J]. Gold Geology, 2002, 8(1): 11~16. http://www.cnki.com.cn/Article/CJFDTOTAL-HJDZ200201002.htm
[22]	丁式江, 黄香定, 李中坚, 等.海南抱伦金矿地质特征及其成矿作用[J].中国地质, 2001, 28(5):28~34. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200105004.htm DING Shi-jiang, HUANG Xiang-ding, LI Zhong-jian, et al. Geological characteristics and mineralization of Baolun gold deposit in Hainan Island[J]. Geology in China, 2001, 28(5): 28~34. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200105004.htm
[23]	陈柏林, 丁式江, 李中坚, 等.海南抱伦金矿床成矿时代研究[J].地球化学, 2001, 30(6):525~532. http://www.cnki.com.cn/Article/CJFDTOTAL-DQHX200106003.htm CHEN Bai-lin, DING Shi-Jiang, LI Zhong-jian, et al. Metallogenic age of Baolun gold deposit, Hainan Province [J]. Geochimica, 2001, 30(6): 525~532. http://www.cnki.com.cn/Article/CJFDTOTAL-DQHX200106003.htm
[24]	张小文, 覃海灿, 傅杨荣.海南定安富文金矿床矿石特征[J].地球科学与环境学报, 2007, 29(1):26~29. http://www.cnki.com.cn/Article/CJFDTOTAL-XAGX200701006.htm ZHAGN Xiao-wen, QIN Hai-can, FU Yang-rong. Ore character of Fuwen gold deposit in Ding'an, Hainan Province[J]. Journal of Earth Sciences and Environment, 2007, 29(1): 26~29. http://www.cnki.com.cn/Article/CJFDTOTAL-XAGX200701006.htm
[25]	苏红旗, 葛艳, 刘冬林.基于GIS的证据权重法矿产预测系统(EWM)[J].地质与勘探, 1999, 35(1):44~45. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT901.011.htm SU Hong-qi, Ge Yan, LIU Dong-lin. A GIS-based mineral deposits prediction system by using evidence weight modeling[J]. Geology and Prospecting, 1999, 35(1): 44~45. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT901.011.htm
[26]	周宁, 李德平, 田赤英, 等.证据权法在CC区潜在多金属结核资源预测中的应用[J].大地构造与成矿学, 2008, 32(3):352~359. http://www.cnki.com.cn/Article/CJFDTOTAL-DGYK200803014.htm ZHOU Ning, LI De-ping, TIAN Chi-ying, et al. Application of weights of evidence modeling to prediction of potential polymetallic nodule resources in the clarion-clipperton zone[J]. Geotectonica et Metalbgenia, 2008, 32(3): 352~359. http://www.cnki.com.cn/Article/CJFDTOTAL-DGYK200803014.htm
[27]	陈建平, 陈勇, 王全明.基于GIS的多元信息成矿预测研究——以赤峰地区为例[J].地学前缘, 2008, 15(4):18~26. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200804004.htm CHEN Jian-ping, CHEN Yong, WANG Quan-ming. Study on synthetic informational mineral resource prediction using GIS: A case study in Chifeng region, Inner Mongolia, China[J]. Earth Science Frontiers, 2008, 15(4): 18~26. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200804004.htm
[28]	陈永清, 夏庆霖, 黄静宁, 等."证据权"法在西南"三江"南段矿产资源评价中的应用[J].中国地质, 2007, 34(1):132~140. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dizi200701018&dbname=CJFD&dbcode=CJFQ CHEN Yong-qing, XIA Qing-lin, HUANG Jing-ning, et al. Application of the weights-of-evidence method in mineral resource sessments in the southern segment of the "Sanjiang metallogenic zone", southwestern China[J]. Geology in China, 2007, 34(1): 132~140. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dizi200701018&dbname=CJFD&dbcode=CJFQ
[29]	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. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201004013.htm LIU Xiao-ling, CHEN Jian-ping. Application of GIS-based weights of evidence method for mineral quantitative prediction: A case study on Alukerqiin area, Inner Mongolia, China[J]. Geological Bulletin of China, 2010, 29(4): 571~581. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201004013.htm
[30]	王宝林, 朱锁, 丛丽娟, 等.遥感蚀变异常在地质矿产勘查工作中的应用[J].华南地质与成矿, 2011, 27(1):64~68. http://www.cnki.com.cn/Article/CJFDTOTAL-HNKC201101010.htm WANG Bao-lin, ZHU Suo, Cong Li-juan, et al. The application of alteration abnormities extracting from remote sensing data for geological exploration [J]. Geology and Mineral Resources of South China, 2011, 27(1): 64~68. http://www.cnki.com.cn/Article/CJFDTOTAL-HNKC201101010.htm
[31]	赵少杰, 钱建平, 陈宏毅.遥感线性构造分形统计和蚀变信息提取在桂东地区金铅锌锡多金属成矿预测中的应用[J].大地构造与成矿学, 2011, 35(3):364~371. http://www.cnki.com.cn/Article/CJFDTOTAL-DGYK201103005.htm ZHAO Shao-jie, QIAN Jian-ping, CHEN Hong-yi. Application of fractal statistics of linear structure and alteration information extraction of remote sensing on the Au, Pb, Zn, Sn polymetallic minerogenetic prognosis in eastern Guangxi[J]. Geotectonica et Metalbgenia, 2011, 35(3): 364~371. http://www.cnki.com.cn/Article/CJFDTOTAL-DGYK201103005.htm
[32]	赵鹏大, 胡明亮, 李紫金.矿床统计预测[M].北京:地质出版社, 1993. ZHAO Peng-da, HU Ming-liang, LI Zi-jin. Statistical prediction of ore deposits[M]. Beijing: Geological Publishing House, 1993.
[33]	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):738~743. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200805004.htm XUE Shun-rong, XIAO Ke-yan, DING Jian-hua. 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): 738~743. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200805004.htm
[34]	Harris J R, Wilkinsos L, Heather K, et al. Application of GIS processing techniques for producing mineral prospectivity maps: A case study of mesothermal Au in the Swayze greenstone belt, Ontario, Canada[J]. Natural Resources Research, 2001, 10(2): 91~124. doi: 10.1023/A:1011548709573