Mineral Resource Assessment Methods Comparison and Its Development Trend Discussion
-
摘要:
矿产资源潜力评价是预测一个地区矿产资源找矿潜力的评价方法,先后经历3个阶段:探索和应用阶段、快速发展阶段及信息化阶段。笔者梳理了“三步式”、证据权、预测普查组合、成矿系列、地质异常、综合信息预测、地球化学块体和非线性预测等8种矿产资源潜力评价理论或方法,通过相关应用实例阐述其实用性,分析了国内外应用潜力评价方法获取的研究成果,总结其发展趋势。其中,“三步式”和证据权是目前使用较为广泛的方法,成矿系列则是国内研究的热点。随着科学技术的进步以及数学地质的不断发展,矿产资源潜力评价已步入信息化阶段,三维深部预测将是未来潜力评价重点发展方向。
Abstract:The mineral resource assessment is an evaluation method to predict the prospecting potential of mineral resources in a region. It goes through three stages: exploration and application stage, rapid development stage and information stage. This paper sorts out eight theories or methods for mineral resource assessment, including "Three−Part Form", "Weights of Evidence", prospecting prediction complex, metallogenic series, geological anomalies, comprehensive information prediction, geochemical block and nonlinear prediction, illustrates the practicability of the theory or method through relevant application examples, analyzes the research results obtained by the application of potential evaluation methods at home and abroad, and summarizes their development trends. "Three−Part Form" and "Weights of Evidence" are widely used methods, and the metallogenic series is a hot spot in China. With the advancement of technology and the development of mathematical geology, the evaluation of mineral resource assessment has entered the stage of informatization, and 3D deep prediction may be the major development direction of resource assessment in the future.
-
-
图 1 印度尼西亚苏门答腊岛斑岩铜(钼)成矿远景区(据胡鹏等,2020修改)
Figure 1.
图 2 厄立特里亚金矿床预测图(据刘江涛等,2021修改)
Figure 2.
图 3 辽宁省金矿成矿系列(据袁和等,2022修改)
Figure 3.
图 4 基于SMOTE数据集的随机森林方法提取的综合地质异常(据夏庆霖等,2021修改)
Figure 4.
图 5 塔吉克斯坦Au地球化学块体分布图(据范堡程等,2020修改)
Figure 5.
图 6 采用局部奇异性方法圈定的As 异常区(据成秋明,2009修改)
Figure 6.
-
柏坚. 非线性数学地质模型研究及在滇东南金矿成矿预测中的应用[D]. 北京: 中国地质大学(北京), 2010
BAI Jian. Application of Nonlinear Geomathematical Geology Models to Mineral Resources Prospectivity Mapping for Gold Deposits in Southeast YunNan, China[D]. Beijing: China University of Geosciences(Beijing), 2010.
毕明丽. 多金属矿产综合信息区域深部成矿预测——以临江市东港地区靶区预测为例[J]. 科学技术与工程, 2020, 20(15): 5942-5947 doi: 10.3969/j.issn.1671-1815.2020.15.008
BI Mingli. Deep metallogenic prediction of polymetallic mineral comprehensive information area: taking target area prediction of Donggang district in Linjiang City as an example [J]. Science Technology and Engineering, 2020, 20( 15): 5942-5947 doi: 10.3969/j.issn.1671-1815.2020.15.008
陈永清, 陈建国, 汪新庆, 等. 基于GIS矿产资源综合定量评价技术 [M]. 北京: 地质出版社, 2008
CHEN Yongqing, CHEN Jianguo, WANG Xinqing, et al. Quantitatively Integrated Assessment Techniques for Mineral Resources Based on GIS[M]. Beijing: Geological Publishing House, 2008
陈毓川, 裴荣富, 王登红. 三论矿床的成矿系列问题[J]. 地质学报, 2006(10): 1501-1508 doi: 10.3321/j.issn:0001-5717.2006.10.003
CHEN Yuchuan, PEI Rongfu, WANG Denghong. On Minerogenetic (Metal logenetic) Series: Third Discussion[J]. Acta Geologica Sinica, 2006(10): 1501-1508. doi: 10.3321/j.issn:0001-5717.2006.10.003
陈毓川, 裴荣富, 王登红等. 八论矿床的成矿系列[J]. 地质学报, 2022, 96(01): 123-130 doi: 10.3969/j.issn.0001-5717.2022.01.011
CHEN Yuchuan, PEI Rongfu, WANG Denghong, et al. A discussion on minerogenetic series of mineral deposits(Ⅷ) [J]. Acta Geologica Sinica, 2022, 96(01): 123-130. doi: 10.3969/j.issn.0001-5717.2022.01.011
陈毓川, 裴荣富, 王登红等. 矿床成矿系列——五论矿床的成矿系列问题[J]. 地球学报, 2016, 37(05): 519-527 doi: 10.3975/cagsb.2016.05.02
CHEN Yuchuan, PEI Rongfu, WANG Denghong, et al. Minerogenetic Series for Mineral Deposits: Discussion on Minerogenetic Series (V)[J]. Acta Geoscientica Sinica, 2016, 37(05): 519-527. doi: 10.3975/cagsb.2016.05.02
陈毓川, 裴荣富, 王登红等. 论地球系统四维成矿及矿床学研究趋向——七论矿床的成矿系列[J]. 矿床地质, 2020, 39(05): 745-753
CHEN Yuchuan, PEI Rongfu, WANG Denghong, et al. Four-dimensional metallogeny in earth system and study trends of mineral deposits: A discussion on minerogenetic series (Ⅶ)[J]. Mineral Deposits, 2020, 39(05): 745-753.
陈毓川, 裴荣富, 王登红等. 论矿床的自然分类——四论矿床的成矿系列问题[J]. 矿床地质, 2015, 34(06): 1092-1106 doi: 10.16111/j.0258-7106.2015.06.001
CHEN Yuchuan, PEI Rongfu, WANG Denghong, et al. Natural classification of mineral deposits: Discussion on minerogenetic series of mineral deposits (Ⅳ)[J]. Mineral Deposits, 2015, 34(06): 1092-1106. doi: 10.16111/j.0258-7106.2015.06.001
成秋明, 李文昌, 夏庆霖, 等. 非线性矿产预测理论方法创立与应用[Z]. 湖北: 中国地质大学(武汉), 2016-01-01
CHENG Qiuming, LI Wenchang, XIA Qinglin, et al. Establishment and application of nonlinear mineral prediction theory and method[Z]. Hubei: China University of Geosciences (Wuhan), 2016-01-01.
成秋明, 赵鹏大, 陈建国等. 奇异性理论在个旧锡铜矿产资源预测中的应用: 成矿弱信息提取和复合信息分解[J]. 地球科学(中国地质大学学报), 2009, 34(02): 232-242 doi: 10.3799/dqkx.2009.021
CHENG Qiuming, ZHAO Pengda, CHEN Jianguo. Application of Singularity Theory in Prediction of Tin and Copper Mineral Deposits in Gejiu District, Yunnan, China: Weak Information Extraction and Mixing Information Decomposition[J]. Earth Science(Journal of China University of Geosciences), 2009, 34(02): 232-242. doi: 10.3799/dqkx.2009.021
成秋明. 成矿过程奇异性与矿产预测定量化的新理论与新方法[J]. 地学前缘, 2007(05): 42-53.
CHENG Qiuming. Singular mineralization processes and mineral resources quantitative prediction: new theories and methods[J]. Earth Science Frontiers, 2007, 14(5): 042-053
成秋明. 非线性成矿预测理论: 多重分形奇异性-广义自相似性-分形谱系模型与方法[J]. 地球科学, 2006, 31(03): 337-348
CHENG Qiuming. Singularity-Generalized Self-Similarity-Fractal Spectrum(3S) Models[J]. Earth Science(Journal of China University of Geosciences), 2006, 31(03): 337-348.
成秋明. 非线性矿床模型与非常规矿产资源评价[J]. 地球科学, 2003, 28(04): 445-454
CHENG Qiuming. Non-Linear Mineralization Model and Information Processing Methods for Prediction of Unconventional Mineral Resources[J]. Earth Science, 2003, 28(04): 445-454.
成秋明. 增强证据权(BoostWofE)新方法在矿产资源定量评价中的应用[J]. 吉林大学学报(地球科学版), 2012, 42(06): 1976-1984
CHENG Qiuming. Application of a Newly Developed Boost Weights of Evidence Model (BoostWofE) for Mineral Resources Quantitative Assessments[J]. Journal of Jilin University(Earth Science Edition), 2012, 42(06): 1976-1984.
程裕淇, 陈毓川, 赵一鸣. 初论矿床的成矿系列问题[J]. 中国地质科学院院报, 1979(00): 32-58
CHENG Yuqi, CHEN Yuchuan, ZHAO Yiming. Preliminary Discussion on the Problems of Minerogenetic Series of Mineral Deposits[J]. Bulletin Chinese Acad. Geo. Sci. , 1979(00): 32-58.
程裕淇, 陈毓川, 赵一鸣等. 再论矿床的成矿系列问题[J]. 中国地质科学院院报, 1983(02): 1-64+134-135
CHENG Yuqi, CHEN Yuchuan, ZHAO Yiming, et al. Further Discussion on the Problems of Minerogenetic Series of Mineral Deposits[J]. Bulletin Chinese Acad. Geo. Sci. , 1983(02): 1-64+134-135.
邓军, 战明国, 周伟金等. 基于模糊证据权法的广西典型金矿矿产定量预测[J]. 地质力学学报, 2021, 27(03): 374-390 doi: 10.12090/j.issn.1006-6616.2021.27.03.034
DENG Jun, ZHAN Mingguo, ZHOU Weijin, et al. Quantitative prediction of mineral resources in typical gold deposits in Gusngxi, China using a fuzzy weights of evidence method[J]. Journal of Geomechanics, 2021, 27(03): 374-390. doi: 10.12090/j.issn.1006-6616.2021.27.03.034
范堡程, 张晶, 孟广路等. 地球化学块体理论在塔吉克斯坦金资源潜力预测中的应用[J]. 西北地质, 2020, 53(01): 138-145 doi: 10.19751/j.cnki.61-1149/p.2020.01.012
FAN Chengbao, ZHANG Jing, MENG Guanglu, et al. Application of Geochemical Blocks Theory in the Prediction of Gold Resource Potential in Tajikistan[J]. Northwestern Geology, 2020, 53(01): 138-145. doi: 10.19751/j.cnki.61-1149/p.2020.01.012
何友宇, 南小龙, 覃金宁等. 衡阳盆地及周缘铜多金属矿成矿系列与找矿新突破[J]. 科学技术与工程, 2022, 22(05): 1775-1785 doi: 10.3969/j.issn.1671-1815.2022.05.007
HE Youyu, NAN Xiaolong, QIN Jinning, et al. Metallogenic series and prospecting breakthough of copper-polymetallic deposits in the Hengyang Basin and its periphery[J]. Science Technology and Engineering, 2022, 22(05): 1775-1785. doi: 10.3969/j.issn.1671-1815.2022.05.007
何庆先等. 苏联矿产预测与预测普查组合[M]. 地质矿产部情报研究所,1988
HE Qingxian, et al. Combination of mineral prediction and prediction census in the Soviet Union[M]. Institute of information, Ministry of Geology and mineral resources,1988
侯翠霞, 刘向冲, 张文斌等. 成矿预测理论与方法新进展[J]. 地质通报, 2010, 29(06): 953-960 doi: 10.3969/j.issn.1671-2552.2010.06.018
HOU Cuixia, LIU Xiangchong, ZHANG Wenbin, et al. New method and theory of metallogenic prediction[J]. Geological Bulletin of China, 2010, 29(6): 953-960 doi: 10.3969/j.issn.1671-2552.2010.06.018
胡鹏, 张海坤, 曹亮等. 印度尼西亚苏门答腊岛斑岩型铜(钼)矿产资源定量评价[J]. 矿床地质, 2020, 39(05): 867-878 doi: 10.16111/j.0258-7106.2020.05.007
HU Peng, ZHANG Haikun, CAO Liang, et al. Quantitative assessment of porphyry copper(molybdenum)mineral resourcesin Sumatra, Indonesia[J]. Mineral Deposits, 2020, 39(05): 867-878. doi: 10.16111/j.0258-7106.2020.05.007
李新中, 赵鹏大, 胡光道. 基于规则知识表示的模型单元选择专家系统的实现[J]. 地球科学, 1995, 20(02): 173-178
LI Xinzhong, ZHAO Pengda, HU Guangdao. Expert system for model until selection based on rule knowledge presentation[J]. Earth Science, 1995, 20(02): 173-178.
刘同, 刘传朋, 康鹏宇等. 基于GIS的格尔木市分水岭北地区铜金矿综合信息找矿预测[J]. 西北地质, 2020, 53(03): 295-307 doi: 10.19751/j.cnki.61-1149/p.2020.03.027
LIU Tong, LIU Chuanpeng, KANG Pengyu, et al. GIS-based comprehensive information prospecting prediction of Cu-Au deposit in Fenshuilingbei area, Gulmud City[J]. Northwestern Geology, 2020, 53(03): 295-307. doi: 10.19751/j.cnki.61-1149/p.2020.03.027
刘江涛, 吴发富, 李福林等. 基于证据权模型的厄立特里亚金矿资源潜力评价[J]. 地质学报, 2021, 95(04): 1292-1305 doi: 10.3969/j.issn.0001-5717.2021.04.024
LIU Jiangtao, WU Fafu, LI Fuling, et al. Quantitative evaluation of Eritrea gold resources potential based on the weighe of evidence model[J]. Acta Geoscientica Sinica, 2021, 95(04): 1292-1305. doi: 10.3969/j.issn.0001-5717.2021.04.024
刘俊, 李文昌, 周清等. 藏东类乌齐-左贡成矿带构造演化与成矿作用[J]. 沉积与特提斯地质, 2022, 42(01): 88-104 doi: 10.19826/j.cnki.1009-3850.2022.01004
LIU Jun, LI Wenchang, ZHOU Qing, et al. Tectonic evolution and mineralization of the eiwuqi-Zogang metallogenic belt [J]. Sedimentary Geology and Tethyan Geology, 2022, 42(01): 88-104. doi: 10.19826/j.cnki.1009-3850.2022.01004
秦锦华, 王登红, 陈毓川等. 矿田尺度成矿规律与成矿系列研究——以湖南水口山为例[J]. 地质学报, 2020, 94(01): 255-269
QIN Jinhua, WANG Denghong, CHEN Yuchan, et al. Research on metallogenetic regularity and metallogenic series in ore fields— a case study from the Shuikoushan ore field, Hunan Province[J]. Acta Geoscientica Sinica, 2020, 94(01): 255-269.
宋明春, 周明岭, 鲍中义, 等. 胶东深部金矿三维成矿预测及巨大的资源潜力[J/OL]. 金属矿山, 2021: 1−18
SONG Mingchun, ZHOU Mingling, BAO Zhongyi, et al. 3D Metallogenic Prediction of Deep Gold Deposits for Jiaodong Penninsula and Its Huge Resource Potential[J/OL]. Metal Mine,2021, 1−18.
孙凯, 张航, 卢宜冠等. 中非铜钴成矿带地质特征与找矿前景分析[J]. 中国地质, 2022, 49(1): 103-120
Sun Kai, Zhang Hang, Lu Yiguan, et al. Analysis on geological characteristics and prospecting potential of the Central African Cu-Co metallogenic belt[J]. Geology in China, 2022, 49(1): 103-120.
孙莉, 肖克炎, 娄德波. 中国铝土矿资源潜力预测评价[J]. 地学前缘, 2018, 25(03): 82-94 doi: 10.13745/j.esf.2018.03.007
SUN Li, XIAO Keyan, LOU Debo. Mineral prospectivity of bauxite resources in China[J]. Earth Science Frontiers, 2018, 25(03): 82-94. doi: 10.13745/j.esf.2018.03.007
滕菲, 彭丽娜, 孟庆龙等. 证据权法在河北丰宁地区银铅锌多金属矿成矿预测中的应用[J]. 华北地质, 2021, 44(01): 21-26
TENG Fei, PENG Lina, MENG Qinglong, et al. Applying weight of evidence to predict Ag-Pb-Zn potentiality in Fengning region, Hebei[J]. North China Geology, 2021, 44(01): 21-26.
王登红, 陈毓川, 徐志刚等. 矿床成矿系列组——六论矿床的成矿系列问题[J]. 地质学报, 2020, 94(01): 18-35 doi: 10.19762/j.cnki.dizhixuebao.2020103
WANG Denghong, CHEN Yuchuan, XU Zhigang, et al. Minerogenetic series group: discussion on minerogenetic series(Ⅵ) [J]. Acta Geoscientica Sinica, 2020, 94(01): 18-35. doi: 10.19762/j.cnki.dizhixuebao.2020103
王海芹, 陈莉, 刘继梅等. 山东胶东金矿综合信息矿产预测[J]. 上海国土资源, 2018, 39(04): 107-111 doi: 10.3969/j.issn.2095-1329.2018.04.023
WANG Haiqin, CHEN Li, LIU Jimei, et al. Comprehensive data regarding mineral prediction for gold mining in the Jiaodong area, Shandong province[J]. Shanghai Land & Resources, 2018, 39(04): 107-111. doi: 10.3969/j.issn.2095-1329.2018.04.023
王佳营, 张晓军, 姚春亮等. 非线性理论和模糊证据权方法在内蒙古达来庙草原覆盖区钼多金属矿产预测中的应用[J]. 地质调查与研究, 2019, 42(03): 174-184 doi: 10.3969/j.issn.1672-4135.2019.03.003
WANG Jiaying, ZHANG Xiaojun, YAO Chunling, et al. Application of nonlinear theory and fuzzy weights of evidence methodin metallogenic prediction for Mo polymetalic deposits in the Dalaimiao grassland-covered area, Inner Mongolia[J]. Geological Survey and Researh, 2019, 42(03): 174-184. doi: 10.3969/j.issn.1672-4135.2019.03.003
王利功, 黄昊, 施亮亮等. 崤山地区金多金属矿综合信息成矿预测[J]. 中国矿业, 2017, 26(S2): 170-175
WANG Ligong, HUANG Hao, SHI Liangliang, et al. Gold poly-metall multipurpose information metallogenic prognosis in Xiaoshan region[J]. China Mining Magazine2017, 26(S2): 170-175.
王世称, 陈永良. 夏立显. 综合信息矿产预测理论与方法[M]. 北京: 科学出版社, 2000
WANG Shicheng, CHEN Yongliang, XIA Lixia. Theory and method of comprehensive information mineral prediction[M]. Beijing: Science Press, 2000
王世称. 综合信息矿产预测理论与方法体系新进展[J]. 地质通报, 2010, 29(10): 1399-1403 doi: 10.3969/j.issn.1671-2552.2010.10.002
WANG Shicheng. The new development of theory and method of synthetic information mineral resources prognosis[J]. Geological Bulletin of China, 2010, 29(10): 1399-1403 doi: 10.3969/j.issn.1671-2552.2010.10.002
王银宏, 严光生, 翟裕生. 三部式潜在矿产资源定量评价与蒙特卡罗模拟[J]. 中国矿业, 2006, 15(06): 14-17 doi: 10.3969/j.issn.1004-4051.2006.06.005
WANG Yinhong, YAN Guangsheng, ZHAI Yusheng. Three-part quantitative assessments of undiscovered mineral resources and Monte Carlo mulation[J]. China Mining Magazine, 2006, 15(06): 14-17. doi: 10.3969/j.issn.1004-4051.2006.06.005
夏庆霖, 赵梦余, 王孝臣等. 基于地质异常的内蒙古新达来草原覆盖区钼铜多金属矿产定量预测[J]. 地学前缘, 2021, 28(03): 56-66.
XIA Qinglin, ZHAO Mengyu, WANG Xiaochen, et al. Quantitative prediction of molybdenum-copper polymetallic mineralresources in the Xindalai grassland-covered area of Inner Mongolia based on geological anomalies. Earth Science Frontiers , 2021 , 28(3): 056-066
向文帅, 姜军胜, 赵凯. 应用地球化学块体法评价厄立特里亚金矿资源潜力[J]. 中国矿业, 2019, 28(12): 176-182 doi: 10.12075/j.issn.1004-4051.2019.12.003
XIANG Wenshuai, JIANG Junsheng, ZHAO Kai. The application of geochemical blocksmethods to gold resource assessment in Eritrea[J]. China Mining Magazine, 2019, 28(12): 176-182. doi: 10.12075/j.issn.1004-4051.2019.12.003
肖克炎, 丁建华, 刘锐. 美国“三步式”固体矿产资源潜力评价方法评述[J]. 地质论评, 2006, 52(06): 793-798 doi: 10.3321/j.issn:0371-5736.2006.06.010
XIAO Keyan, DING Jianhua, LIU Rui. The Discussion of Three-Part Form of non-fuel Mineral Resource Assessment[J]. Geological Review, 2006, 52(06): 793-798. doi: 10.3321/j.issn:0371-5736.2006.06.010
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 Keyan, ZHANG Xiaohua, WANG Silong, et al. GIS evaluation system of mineral resources[M]. Beijing: Geological Publishing House, 2000
肖克炎. “深部综合信息矿产资源预测评价”专辑特邀主编寄语[J]. 地球学报, 2020, 41(02): 130-134
XIAO Keyan. Guest Editor’s Preface to the “Prediction and Assessment of Deep Mineral Resources Based on Integrated Geoinformation” [J]. Acta Geoscientica Sinica, 2020, 41(02): 130-134.
肖文进, 张忠义, 侯朝勇等. 新疆哈密黑山金矿物化探异常特征及找矿预测[J]. 矿产勘查, 2021, 12(07): 1587-1594. doi: 10.3969/j.issn.1674-7801.2021.07.012
XIAO Wenjin, ZHANG Zhongyi, HOU Chaoyong, et al. Geophysical and geochemical anomaly characteristics and prospecting prediction of Heishan gold deposit in Hami, Xinjiang, China[J]. Mineral Exploration, 2021, 12(07): 1587-1594. doi: 10.3969/j.issn.1674-7801.2021.07.012
肖志坚. 基于空间信息网格的长江中下游矿产资源评价方法[D]. 武汉: 中国地质大学(武汉), 2010
XIAO Zhijiang. The appraise method of mineral resources in middle-lower reaches Changjiang River based on Spatial Information Grid[D]. Wuhan: China University of Geoscience (Wuhan), 2010
谢学锦, 刘大文, 向运川等. 地球化学块体——概念和方法学的发展[J]. 中国地质, 2002, 29(03): 225-233 doi: 10.3969/j.issn.1000-3657.2002.03.001
XIE Xuejin, LIU Dawen, XIANG Yunchuan, et al. Geochemical blocks – Development of concept and methodology[J]. Geology in China, 2002, 29(03): 225-233. doi: 10.3969/j.issn.1000-3657.2002.03.001
徐善法, 王学求, 张必敏等. 中国铀地球化学块体与远景区划分[J]. 地球学报, 2020, 41(06): 785-796 doi: 10.3975/cagsb.2020.082502
XU Shanfa, WANG Xueqiu, ZHANG Bimin, et al. China’s Uranium Geochemical Blocks: Implications for Delineation of Uranium Prospective Areas[J]. Acta Geoscientica Sinica, 2020, 41(06): 785-796. doi: 10.3975/cagsb.2020.082502
许逢明, 吴大天, 周永恒, 等. 基于地球化学块体概念的马达加斯加全岛铬资源潜力评价[A]. 中国矿物岩石地球化学学会第17届学术年会论文摘要集[C], 2019: 736−738
XU Fengming, WU Datian, ZHOU Yongheng, et al. Evaluation of chromium resource potential in Madagascar based on the concept of geochemical blocks[A]. Abstracts of the 17th Annual Meeting of the Chinese Society of Mineral and Rock Geochemistry[C], 2019: 736−738.
薛顺荣, 胡光道, 丁俊. 成矿预测研究现状及发展趋势[J]. 云南地质, 2001, 20(04): 411-416 doi: 10.3969/j.issn.1004-1885.2001.04.010
XIU Shongrong, HU Guangdao, DING Jun. The current situation and development trend of metallogenetic prognosis [J]. Yunnan Geology, 2001, 20(04): 411-416. doi: 10.3969/j.issn.1004-1885.2001.04.010
叶天竺, 肖克炎, 成秋明, 等. 矿产定量预测方法 [M]. 北京: 地质出版社, 2010
YE Tianzhu, XIAO Keyan, CHENG Qiuming, et al. Quantitative prediction method of mineral resources[M]. Beijing: Geological Publishing House, 2010
袁峰, 张明明, 李晓晖等. 成矿预测: 从二维到三维[J]. 岩石学报, 2019, 35(12): 3863-3874 doi: 10.18654/1000-0569/2019.12.18
YUAN Feng, ZHANG Mingming, Li Xiaohui, et al. Prospectivity modeling: From twodimension to three-dimension[J]. Acta Petrologica Sinica, 2019, 35(12): 3863-3874. doi: 10.18654/1000-0569/2019.12.18
袁和, 王登红. 辽宁省金矿成矿规律及成矿系列[J]. 中国地质调查, 2022, 9(02): 73-82 doi: 10.19388/j.zgdzdc.2022.02.07
YUAN He, WANG Denghong. Metallogenic regularity and series of gold deposits in Liaoning Province [J]. Geological Survey of China, 2022, 9(02): 73-82. doi: 10.19388/j.zgdzdc.2022.02.07
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(02): 281-286 doi: 10.3799/dqkx.2009.028
ZHANG Shengyuan, CHENG Qiuming, ZHANG Suping, 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(02): 281-286. doi: 10.3799/dqkx.2009.028
赵鹏大, 陈永清, 刘吉平, 地质异常成矿预测理论与实践[M]. 武汉: 中国地质大学出版社, 1999
ZHAO Pengda, CHEN Yongqing, LIU Jiping, Theory and practice of geoanomaly in mineral exploration[M]. Wuhan: China University of Geosciences Press, 1999.
赵鹏大, 池顺都. 初论地质异常[J]. 地球科学, 1991, 16(03): 241-248
ZHAO Pengda, CHI Shundu. A Preliminary view on Geological Anomaly[J]. Earth Science, 1991, 16(03): 241-248.
赵鹏大, 孟宪国. 地质异常与矿产预测[J]. 地球科学, 1993, 18(01): 39-47+127
ZHAO Pengda, MENG Xianguo. Geological Anomaly and Mineral Prediction[J]. Earth Science, 1993, 18(01): 39-47+127.
赵鹏大. “三联式”资源定量预测与评价——数字找矿理论与实践探讨[J]. 地球科学, 2002, 27(05): 482-489
ZHAO Pengda. “Three-Component” Quantitative Resource Prediction and Assessments: Theory and Practice of Digital Mineral Prospecting[J]. Earth Science, 2002, 27(05): 482-489.
赵震宇, 王世称, 孟令顺等. 陕南地区金矿床综合信息预测[J]. 吉林大学学报(地球科学版), 2004, 34 02): 287-291 doi: 10.13278/j.cnki.jjuese.2004.02.025
ZHAO Zhenyu, WANG Shicheng, MENG Lingshun, et al. Synthetic information prediction of the gold mineral resources in southern Shaanxi Province[J]. Journal of Jilin University( Earth Science Edition), 2004, 34(02): 287-291. doi: 10.13278/j.cnki.jjuese.2004.02.025
郑有业, 次琼, 高顺宝等. 西藏冈底斯西段银锡铜多金属成矿系列与找矿方向[J]. 地学前缘, 2021, 28(03): 379-402 doi: 10.13745/j.esf.sf.2021.1.19
ZHENG Youye, CI Qiong, GAO Shunbao, et al. The Ag-Sn-Cu polymetallic minerogenetic series and prospecting direction in the western Gangdese belt, Tibet[J]. Earth Science Frontiers, 2021, 28(03): 379-402. doi: 10.13745/j.esf.sf.2021.1.19
朱裕生. 矿产资源评价方法学导论[M]. 北京: 地质出版社, 1984
ZHU Yusheng. Introduction to mineral resources evaluation methodology[M]. Beijing: Geological Publishing House, 1984
朱裕生. 矿产资源潜力评价在我国的发展[J]. 中国地质, 1999,(11): 31-33+23
ZHU Yusheng, Development of mineral resources assessment in China[J]. Geology in China, 1999,(11): 31-33+23.
Agterberg F P , Gradstein F M . Recent developments in quantitative stratigraphy[J]. Earth Science Reviews, 1988, 25(1):1-73.
Qiuming Cheng, F. P. Agterberg. Fuzzy Weights of Evidence Method and Its Application in Mineral Potential Mapping[J]. Natural Resources Research, 1999, 8(1).
Fu Changliang, Chen Kaixu, Yang Qinghua, et al. Mapping gold mineral prospectivity based on weights of evidence method in southeast Asmara, Eritrea[J]. Journal of African Earth Sciences, 2021, 176: 104143.
Liu, J. , Cheng, Q. A Modified Weights-of-Evidence Method for Mineral Potential Prediction Based on Structural Equation Modeling[J] . Nat Resour Res 28, 1037–1053(2019).
Singer D A. Basic concepts in three-part quantitative assessments of undiscovered mineral resources [J]. Nonre-newable Resources, 1993, 2(2): 69–81.
Singer D A, Menzie W D, Sutphin D M, et al. Mineral deposit density−An update[A]. In. Schulz K J, ed. Contributions to global mineral resource assessment research[M]. U. S. Geological Survey Professional Paper, 2001, 1640: A1–A13.
Tao, J. , Yuan, F. , Zhang, N. , et al. Three-Dimensional Prospectivity Modeling of Honghai Volcanogenic Massive Sulfide Cu–Zn Deposit, Eastern Tianshan, Northwestern China Using Weights of Evidence and Fuzzy Logic[J]. Math Geosci 53, 131–162 (2021).
WANG Xueqiu, SHEN Wujun, ZHANG Bimin, et al. Relationship of Geochemical Blocks and Ore Districts: Examples from the Eastern Tianshan Metallogenic Belt, Xinjiang, China[J]. Earth Science Frontiers, 2007, 14(5): 116–123. doi: 10.1016/S1872-5791(07)60040-2
Zientek M L, Bliss J D, Broughton D W, et al. Sediment-Hosted stratabound copper assessment of the Neoproterozoic Roan Group, Central African Copperbelt, Katanga Basin, Democratic Republic of the Congo and Zambia[M]: U. S. Geological Survey Scientific Investigations Report 2010–5090–T, 2014: 162.
-