黑龙江省伊春地区铅锌多金属矿产预测
摘要
铅锌矿产研究区域的具有较大经济价值的矿产资源,在地方经济发展中占有一席之地。伴随着伊春地区经济的快速发展,矿山保有储量迅速下降,近中、长期的铅、锌多金属矿产品的供需关系日趋紧张。查清研究区域内铅锌多金属矿产资源的各种地质特征,是缓解供需紧张局面、提供中长期保障供应的可选择的有效途径。
研究以国家地质调查局项目“黑龙江省小兴安岭—张广才岭成矿带铅锌多金属矿成矿规律研究”为平台,将综合信息矿产预测方法应用于研究区域内的铅锌多金属矿产资源的定位研究。
研究以前期地质工作和矿产地质工作为基础,对研究区域内的地球物理、地球化学资料进行了解释,获取了有益的物化信息。典型矿床的总结性研究明确区域内具有经济意义的铅锌多金属矿床的类型——矽卡岩型。为预测工作指明了方向。分析了铅锌多金属矿成矿控制条件,实现了地、物、化信息的关联研究,构建了具有区域针对性的综合信息找矿靶区,构造出了用于铅锌多金属矿产资源位置预测的数学模型。
对比靶区的定量估计结果,综合评价了各个单元的找矿前景。在预测成果解释基础上,对研究区今后铅锌找矿工作部署提出了建议性意见。指出清华—双兴等4个成矿远景区为首选的找矿有利地段。
This research, which is based on the project of“Research of Regularity of Lead Zinc Polymetallic Ore Fomation of Zhangguangcai Metallogenic Belt in Lesser Khingan of Heilongjiang”, and whose prediction investigation is the superior mineral -- lead zinc polymetallic ore in Yichun-Suihua, aims to gain a clear idea of the basic situation of lead zinc polymetallic ore in the research areas and to lay mineral resources foundation for the formulation of the local economic planning and the deployment of lead zinc polymetallic ore-prospecting work.
The prediction research chooses Mineral prediction method of integrated information and develops a systematic study based on the prediction method’s basic principles and methods.
This research, based on the priori premise of geology in the research areas, explains the same proportionable aeromagnetic survey data, gravity survey data, geochemistry data. It ascertains the characteristics and distribution rule of magnetic field, gravity field and Element geochemical field,clarifies the geological significance of geophysical field and geochemical field as well as the characteristics and distribution rule of magnetic and gravitational anomalies, geochemical anomalies and composite anomalies. It makes the geological deduction on the foundation of magnetic and gravitational information, drawing the conclusion that the structural framework of the research areas is complex; The dominant structure is nearly north-south(NE—NNE);the formation of fracture of nearly east-west is earliest ,followed by several activities in late period; based on the basic framework of the fracture structure in nearly north-south and east-west, north-west and north-east fracture structure complicates the fracture structural framework.
Through the study on the typical mineral deposit of Cuihong Mountain, Xiaoxilin and Ergu, the research carries out the study of the geological background of the ore deposits’outputs ,geology of ore deposits, the cause of formation of ore deposites. It draws a conclusion that the main ore-controlling geological conditions of lead zinc polymetallic ore is medium acid magmation, fracture structure and early Paleozoic stratum in the period between late Indosinian and early Yanshan, and it also constructs the metallogenic model of lead zinc polymetallic ore of skarn.
It analyzes lead zinc polymetallic ore deposit’s control condition in the research areas and summarize the metallogenic regularity of the“ore deposits”. The research makes out that: The volcanic deposits-- Carbonate construction formed in the Cambrian,Ordovician—Devonian,Permian is the main ore-bearing,the main geological factor of the distribution of lead zinc polymetallic ore in belts, in trip and in groups is fracture structure; the medium acid magmatic activity in the late Indosinian and early Yanshan provides thermal power,hydrotherm, mineralization and favorable structure for the formation of lead zinc polymetallic ore deposits.
With the guide of typical mine,metallogenic regularity,and ore control,it establishes the mineralization pattern of lead zinc polymetallic ore deposits in the research areas. Meeting the target of geology, it studies the relationships of all kinds of information, then builds the integrated information of ore-prospecting model of lead zinc polymetallic ore deposits on the foundation of ore deposits’mineralization pattern.
With the guide of integrated information of ore-prospecting model and the foundation of all kinds of information, the research ascertains the information collection of information in ore fields and divides 44 lead zinc polemetallic ore areas.
The research applies several digital models in the quantitative estimate of the lead zinc polymetallic mineral resources ,such as analysis,Q cluster analysis,correspondence analysis,number theory III,support vector. It contrasts results of all kinds of methods,predicts each geological unit’s probability level of ore output, including 3 A level, 9B level ,16 C level and 3 D level in the unknown unit. Based on the explanation of the prediction result, it divides ore-prospecting areas and make valuable suggestions for reference of future ore-prospecting work.
研究以国家地质调查局项目“黑龙江省小兴安岭—张广才岭成矿带铅锌多金属矿成矿规律研究”为平台,将综合信息矿产预测方法应用于研究区域内的铅锌多金属矿产资源的定位研究。
研究以前期地质工作和矿产地质工作为基础,对研究区域内的地球物理、地球化学资料进行了解释,获取了有益的物化信息。典型矿床的总结性研究明确区域内具有经济意义的铅锌多金属矿床的类型——矽卡岩型。为预测工作指明了方向。分析了铅锌多金属矿成矿控制条件,实现了地、物、化信息的关联研究,构建了具有区域针对性的综合信息找矿靶区,构造出了用于铅锌多金属矿产资源位置预测的数学模型。
对比靶区的定量估计结果,综合评价了各个单元的找矿前景。在预测成果解释基础上,对研究区今后铅锌找矿工作部署提出了建议性意见。指出清华—双兴等4个成矿远景区为首选的找矿有利地段。
This research, which is based on the project of“Research of Regularity of Lead Zinc Polymetallic Ore Fomation of Zhangguangcai Metallogenic Belt in Lesser Khingan of Heilongjiang”, and whose prediction investigation is the superior mineral -- lead zinc polymetallic ore in Yichun-Suihua, aims to gain a clear idea of the basic situation of lead zinc polymetallic ore in the research areas and to lay mineral resources foundation for the formulation of the local economic planning and the deployment of lead zinc polymetallic ore-prospecting work.
The prediction research chooses Mineral prediction method of integrated information and develops a systematic study based on the prediction method’s basic principles and methods.
This research, based on the priori premise of geology in the research areas, explains the same proportionable aeromagnetic survey data, gravity survey data, geochemistry data. It ascertains the characteristics and distribution rule of magnetic field, gravity field and Element geochemical field,clarifies the geological significance of geophysical field and geochemical field as well as the characteristics and distribution rule of magnetic and gravitational anomalies, geochemical anomalies and composite anomalies. It makes the geological deduction on the foundation of magnetic and gravitational information, drawing the conclusion that the structural framework of the research areas is complex; The dominant structure is nearly north-south(NE—NNE);the formation of fracture of nearly east-west is earliest ,followed by several activities in late period; based on the basic framework of the fracture structure in nearly north-south and east-west, north-west and north-east fracture structure complicates the fracture structural framework.
Through the study on the typical mineral deposit of Cuihong Mountain, Xiaoxilin and Ergu, the research carries out the study of the geological background of the ore deposits’outputs ,geology of ore deposits, the cause of formation of ore deposites. It draws a conclusion that the main ore-controlling geological conditions of lead zinc polymetallic ore is medium acid magmation, fracture structure and early Paleozoic stratum in the period between late Indosinian and early Yanshan, and it also constructs the metallogenic model of lead zinc polymetallic ore of skarn.
It analyzes lead zinc polymetallic ore deposit’s control condition in the research areas and summarize the metallogenic regularity of the“ore deposits”. The research makes out that: The volcanic deposits-- Carbonate construction formed in the Cambrian,Ordovician—Devonian,Permian is the main ore-bearing,the main geological factor of the distribution of lead zinc polymetallic ore in belts, in trip and in groups is fracture structure; the medium acid magmatic activity in the late Indosinian and early Yanshan provides thermal power,hydrotherm, mineralization and favorable structure for the formation of lead zinc polymetallic ore deposits.
With the guide of typical mine,metallogenic regularity,and ore control,it establishes the mineralization pattern of lead zinc polymetallic ore deposits in the research areas. Meeting the target of geology, it studies the relationships of all kinds of information, then builds the integrated information of ore-prospecting model of lead zinc polymetallic ore deposits on the foundation of ore deposits’mineralization pattern.
With the guide of integrated information of ore-prospecting model and the foundation of all kinds of information, the research ascertains the information collection of information in ore fields and divides 44 lead zinc polemetallic ore areas.
The research applies several digital models in the quantitative estimate of the lead zinc polymetallic mineral resources ,such as analysis,Q cluster analysis,correspondence analysis,number theory III,support vector. It contrasts results of all kinds of methods,predicts each geological unit’s probability level of ore output, including 3 A level, 9B level ,16 C level and 3 D level in the unknown unit. Based on the explanation of the prediction result, it divides ore-prospecting areas and make valuable suggestions for reference of future ore-prospecting work.
引文
[1]王世称等,矿产资源评价吉林科学技术出版社,1993.3
[2]叶天竺固体矿产预测评价方法技术中国大地出版社2004.12:1-4
[3]J.C.DAVIS.Statistics and A NALYSISIN Geology 1973
[4]朱裕生等成矿预测方法地质出版社1997
[5]朱裕生矿产预测方法导论地质出版社1984 28-56
[6]孙明玺预测与评价浙江教育出版社1986 7-19
[7]赵鹏大等矿床统计预测地质出版社1983 4-11
[8]美国地质调查局美国本土矿产资源评价计划系列报告之一。地质信息统计及其在地学领域中应用论文集。地矿部科技司计算机办公室1983 74-93
[9]Lesley Wyborn,etc.Using Gisfor mineral potential evaluation in areas with few Known mineral occurrences[J]sencond national foram on GIS in the Geosciences 1995 28-30
[10]肖克炎等矿产资源GIS评价系统地质出版社2000
[11]王世称金矿资源综合信息评价方法吉林科学技术出版社1990
[12]王世称综合信息矿产预测理论与方法,科学技术出版社2000
[13]王世称山东省金矿床及金矿床密集区综合信息成矿预测,地质出版社2003
[14]李颖综合信息矿产预测计算机系统长春科技大学出版社1999 29 394-396
[15]刘安洲成矿信息论与大比例尺矿产靶区定量预测,吉林大学出版社1991
[16]黑龙江省地质矿产局黑龙江省区域矿产总结(内部)1994
[17]黑龙江省地质矿产局黑龙江省区域地质志地质出版社1993 8-259
[18]刘静兰等东风山前寒武纪含铁建造金矿床地质出版社1991 16-24
[19]党增欣等黑龙江群和麻山群的交结带变质相和变质相系。中国变质地质图编制与研究论文集第二集地质出版社1998
[20]韩振新黑龙江省小兴安岭地区加里中期花岗岩类有关的矿床成矿系列矿床地质第四期1995
[21]王世称综合信息解释原理与矿产预测图编制方法,吉林大学出版社1989 7 1-10
[22]长春地质学院磁法勘探地质出版社1979
[23]Vlassopocslo D . W ood SA, Mucci A .Gold speciation innatural waters ;II.Theinportance of organic complexing-Experiments with some simple model ligangs[J]Geochim cosmochim Acta ,1990,54: 1575-1586
[24]阎鸿铨小兴安岭南段区域构造和小西林块状硫化物铅锌矿床,地震出版社1992
[25]黑龙江地质矿产局地质三队,黑龙江省伊春市小西林铅锌矿铅山地段1号铅矿体勘探报告(内)1965
[26]黑龙江省地质局地质勘探公司七0七队,黑龙江省伊春市小西林铅锌矿铅山地段V号矿体群段地质勘探报告(内) 1972-1975
[27]黑龙江省地质矿产局地质三队,黑龙江省伊春市小西林铅锌矿南沟地段详细普查报告(内), 1967
[28]黑龙江省地质矿产局地质二队,黑龙江省铁力县二十八公里铁矿点普查报告(内) 1979
[29]黑龙江省地质矿产局地质三队,黑龙江省逊克县多金属矿初步普查报告(内)1981
[30]黑龙江地质矿产局地质三队,库滨铅锌矿一九七九年度普查报告(内)1980
[31]邵庆辉等花岗岩研究与方法地质出版社2002
[32]李之彤等我国东北北部花岗岩空间分布,国际花岗岩成因与成矿作用讨论会论文集1982
[33]陈毓川中国主要成矿区带矿产资源远景评价地质出版社1999
[34]舒广龙大安河金矿床成矿条件分析黑龙江地质1999,10 31-40
[35]邓乃扬数据挖掘中的新方法-支持向量机科学出版社2004;196-208
[36]黑龙江省地质矿产局三队黑龙江省逊克县翠宏山铁多金属矿床普查-初勘地质报告(内)1987
[37]黑龙江省地质矿产局三队黑龙江省伊春市小西林铅锌矿南沟段详细普查报告(内)1967
[38]赵明玉张广才岭成矿带铁力-玉泉有色金属贵金属矿带成矿特征分析矿产与地质2000.14(4)225-229
[39]黑龙江省地质矿产局地质三队黑龙江省铁力县新曙光铁多金属矿床响水河矿段贵金属和稀散元素地质报告(内)1974
[40]王静纯西林铅锌矿成矿预测研究有色金属矿产与勘查1999, 8 ;454-458
[41] Lesley Wyborn,etc.Using GIS for mineral potential evaluation in areas with few known mineral occurrences[J].Second National forum on GIS in the Geosciences, 1995:29-31.
[42] Brinck,J.W,,1976.Critical parameters for the production,depletion and substitution of mineral resources-a horizon beyond the linits to growth.Ceol.en Mijnb., V55 (34):185-194.
[43] Williams T M,Gumm A G.Applicatin of enzyme lesch soil analysis for epithermal gold exploration in the Andex of Ecuador[J].Apllied Geochemistry, 2002(17): 367-385
[44] P.V. Koval, A.N. Gvozdkov, V.A. Romanov. Correlations between geochemical features of recent bottom and stream sediments in the Baikal geoecological polygon[J].Lake Baikal, 2000:176-185.
[45] George H. Wagner, Ronald H. Konig, Kenneth F. Steele.Stream sediment geochemical investigations in Arkansas - comparisons of manganese, zinc and lead- zinc districts with an unmineralized area[J].Journal of Geochemical Exploration, 1978, 9(1):63-74.
[46] Qiuming Cheng, F.P. Agterberg, Qinglin Xia. Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China[J].Journal of Geochemical Exploration, 2009,101(3):225-235 .
[47]H. Kürzl. Data analysis and geochemical mapping for the regional stream sediment survey of Austria[J].Journal of Geochemical Exploration,1989,32(1-3):349-351 .
[48]Claude Bellehumeur, Denis Marcotte, Michel Jébrak. Multi-element relationships and spatial structures of regional geochemical data from stream sediments, southwestern Quebec, Canada[J]. Journal of Geochemical Exploration, 1994, 51(1): 11-35 .
[49] J. Haslett, G. M. Power. Interactive computer graphics for a more open exploration of stream sediment geochemical data[J].Computers & Geosciences, 1995,21(1) : 77-87.
[50]S. Albanese, B. De Vivo, A. Lima, D. Cicchella .Geochemical background and baseline values of toxic elements in stream sediments of Campania region (Italy)[J]. Journal of Geochemical Exploration, Volume 93, Issue 1, April 2007, Pages 21-34
[51]Van Price, R.Bruce Ferguson.Stream sediment geochemical surveys for uranium[J].Journal of Geochemical Exploration,1980, 13(1-3):285-304.
[52] P.N. Ranasinghe, G.W.A.R. Fernando, C.B. Dissanayake, M.S. Rupasinghe. Stream sediment geochemistry of the Upper Mahaweli River Basin of Sri Lanka—Geological and environmental significance[J]. Journal of Geochemical Exploration, 2008,99(1-2): 1-28.
[53] P.F. Matysek, W.K. Fletcher, A.J. Sinclair. Statistical evaluation of the significance of categorical field parameters in the interpretation of regional geochemical sediment data[J]. Journal of Geochemical Exploration, 1983, 19(1-3):383-401.
[54] Zhao Pengda, Cheng Qiuming, Xia Qinglin. Quantitative Prediction for Deep Mineral Exploration[J]. Journal of China University of Geosciences, 2008, 19(4): 309-318.
[55] Gongwen WANG, Jianping CHEN. Mineral Resource Prediction and Assessment of Copper Multi-mineral Deposit Based on GIS Technology in the North of Sanjiang Region, China[J]. Earth Science Frontiers, 2008,15(4) :27-32.
[56]Li peilan,Yu Xingzhen.Locating mechanism study of several types of gold deposits[J]Journal of Central South University of Technology.1996,3(1):54-57
[57]R.P.Shaw,R.D.Morton,J.Gray and H.R.Krouse.Origins of metamorphic lode gold deposits:Implications of stable isotope data from the central Rocky Mountains,Canada[J].Mineralogy and petrology,1991,43(3):193-209.
[58]Raimundo Netuno Villas and Marcio Santos.Gold deposits of the Carajas mineral province:deposit types and metallogenesis[J].2001,36(3-4):300-331
[59] Hong Rui Fan,Ming Guo Zhai,Yi Han Xie and Jin Hui Yang.Ore-formig fluids associated with granite-hosted gold mineralization at the Sanshandao deposit, jiaodong gold province,China[J]Mineralium Deposita.2003,38(6):739-750.
[60] E.Gonzalez-Clavijo,M.A.Diez-Balda and F.Alvarez.Structural study of a semiductile strie-slip syseem in the Central Iberian Zone(Variscan Fold Belt,Spain):structural controls on gold deposits[J].International Journal of Earth Sciences.1993, 82.3:448-460.
[61]Sebastien Strebelle.Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics[J]. Mathematical Geology.2002,34(1):1-21.
[62]Gui-Hua Lin, Huifu Xu and Masao. Fukushima. Monte Carlo and quasi-Monte Carlo sampling methods for a class of stochastic mathematical programs with equilibrium constraints[J].Mathematical Methods Operations Research.2008,67(3):423-441.
[2]叶天竺固体矿产预测评价方法技术中国大地出版社2004.12:1-4
[3]J.C.DAVIS.Statistics and A NALYSISIN Geology 1973
[4]朱裕生等成矿预测方法地质出版社1997
[5]朱裕生矿产预测方法导论地质出版社1984 28-56
[6]孙明玺预测与评价浙江教育出版社1986 7-19
[7]赵鹏大等矿床统计预测地质出版社1983 4-11
[8]美国地质调查局美国本土矿产资源评价计划系列报告之一。地质信息统计及其在地学领域中应用论文集。地矿部科技司计算机办公室1983 74-93
[9]Lesley Wyborn,etc.Using Gisfor mineral potential evaluation in areas with few Known mineral occurrences[J]sencond national foram on GIS in the Geosciences 1995 28-30
[10]肖克炎等矿产资源GIS评价系统地质出版社2000
[11]王世称金矿资源综合信息评价方法吉林科学技术出版社1990
[12]王世称综合信息矿产预测理论与方法,科学技术出版社2000
[13]王世称山东省金矿床及金矿床密集区综合信息成矿预测,地质出版社2003
[14]李颖综合信息矿产预测计算机系统长春科技大学出版社1999 29 394-396
[15]刘安洲成矿信息论与大比例尺矿产靶区定量预测,吉林大学出版社1991
[16]黑龙江省地质矿产局黑龙江省区域矿产总结(内部)1994
[17]黑龙江省地质矿产局黑龙江省区域地质志地质出版社1993 8-259
[18]刘静兰等东风山前寒武纪含铁建造金矿床地质出版社1991 16-24
[19]党增欣等黑龙江群和麻山群的交结带变质相和变质相系。中国变质地质图编制与研究论文集第二集地质出版社1998
[20]韩振新黑龙江省小兴安岭地区加里中期花岗岩类有关的矿床成矿系列矿床地质第四期1995
[21]王世称综合信息解释原理与矿产预测图编制方法,吉林大学出版社1989 7 1-10
[22]长春地质学院磁法勘探地质出版社1979
[23]Vlassopocslo D . W ood SA, Mucci A .Gold speciation innatural waters ;II.Theinportance of organic complexing-Experiments with some simple model ligangs[J]Geochim cosmochim Acta ,1990,54: 1575-1586
[24]阎鸿铨小兴安岭南段区域构造和小西林块状硫化物铅锌矿床,地震出版社1992
[25]黑龙江地质矿产局地质三队,黑龙江省伊春市小西林铅锌矿铅山地段1号铅矿体勘探报告(内)1965
[26]黑龙江省地质局地质勘探公司七0七队,黑龙江省伊春市小西林铅锌矿铅山地段V号矿体群段地质勘探报告(内) 1972-1975
[27]黑龙江省地质矿产局地质三队,黑龙江省伊春市小西林铅锌矿南沟地段详细普查报告(内), 1967
[28]黑龙江省地质矿产局地质二队,黑龙江省铁力县二十八公里铁矿点普查报告(内) 1979
[29]黑龙江省地质矿产局地质三队,黑龙江省逊克县多金属矿初步普查报告(内)1981
[30]黑龙江地质矿产局地质三队,库滨铅锌矿一九七九年度普查报告(内)1980
[31]邵庆辉等花岗岩研究与方法地质出版社2002
[32]李之彤等我国东北北部花岗岩空间分布,国际花岗岩成因与成矿作用讨论会论文集1982
[33]陈毓川中国主要成矿区带矿产资源远景评价地质出版社1999
[34]舒广龙大安河金矿床成矿条件分析黑龙江地质1999,10 31-40
[35]邓乃扬数据挖掘中的新方法-支持向量机科学出版社2004;196-208
[36]黑龙江省地质矿产局三队黑龙江省逊克县翠宏山铁多金属矿床普查-初勘地质报告(内)1987
[37]黑龙江省地质矿产局三队黑龙江省伊春市小西林铅锌矿南沟段详细普查报告(内)1967
[38]赵明玉张广才岭成矿带铁力-玉泉有色金属贵金属矿带成矿特征分析矿产与地质2000.14(4)225-229
[39]黑龙江省地质矿产局地质三队黑龙江省铁力县新曙光铁多金属矿床响水河矿段贵金属和稀散元素地质报告(内)1974
[40]王静纯西林铅锌矿成矿预测研究有色金属矿产与勘查1999, 8 ;454-458
[41] Lesley Wyborn,etc.Using GIS for mineral potential evaluation in areas with few known mineral occurrences[J].Second National forum on GIS in the Geosciences, 1995:29-31.
[42] Brinck,J.W,,1976.Critical parameters for the production,depletion and substitution of mineral resources-a horizon beyond the linits to growth.Ceol.en Mijnb., V55 (34):185-194.
[43] Williams T M,Gumm A G.Applicatin of enzyme lesch soil analysis for epithermal gold exploration in the Andex of Ecuador[J].Apllied Geochemistry, 2002(17): 367-385
[44] P.V. Koval, A.N. Gvozdkov, V.A. Romanov. Correlations between geochemical features of recent bottom and stream sediments in the Baikal geoecological polygon[J].Lake Baikal, 2000:176-185.
[45] George H. Wagner, Ronald H. Konig, Kenneth F. Steele.Stream sediment geochemical investigations in Arkansas - comparisons of manganese, zinc and lead- zinc districts with an unmineralized area[J].Journal of Geochemical Exploration, 1978, 9(1):63-74.
[46] Qiuming Cheng, F.P. Agterberg, Qinglin Xia. Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China[J].Journal of Geochemical Exploration, 2009,101(3):225-235 .
[47]H. Kürzl. Data analysis and geochemical mapping for the regional stream sediment survey of Austria[J].Journal of Geochemical Exploration,1989,32(1-3):349-351 .
[48]Claude Bellehumeur, Denis Marcotte, Michel Jébrak. Multi-element relationships and spatial structures of regional geochemical data from stream sediments, southwestern Quebec, Canada[J]. Journal of Geochemical Exploration, 1994, 51(1): 11-35 .
[49] J. Haslett, G. M. Power. Interactive computer graphics for a more open exploration of stream sediment geochemical data[J].Computers & Geosciences, 1995,21(1) : 77-87.
[50]S. Albanese, B. De Vivo, A. Lima, D. Cicchella .Geochemical background and baseline values of toxic elements in stream sediments of Campania region (Italy)[J]. Journal of Geochemical Exploration, Volume 93, Issue 1, April 2007, Pages 21-34
[51]Van Price, R.Bruce Ferguson.Stream sediment geochemical surveys for uranium[J].Journal of Geochemical Exploration,1980, 13(1-3):285-304.
[52] P.N. Ranasinghe, G.W.A.R. Fernando, C.B. Dissanayake, M.S. Rupasinghe. Stream sediment geochemistry of the Upper Mahaweli River Basin of Sri Lanka—Geological and environmental significance[J]. Journal of Geochemical Exploration, 2008,99(1-2): 1-28.
[53] P.F. Matysek, W.K. Fletcher, A.J. Sinclair. Statistical evaluation of the significance of categorical field parameters in the interpretation of regional geochemical sediment data[J]. Journal of Geochemical Exploration, 1983, 19(1-3):383-401.
[54] Zhao Pengda, Cheng Qiuming, Xia Qinglin. Quantitative Prediction for Deep Mineral Exploration[J]. Journal of China University of Geosciences, 2008, 19(4): 309-318.
[55] Gongwen WANG, Jianping CHEN. Mineral Resource Prediction and Assessment of Copper Multi-mineral Deposit Based on GIS Technology in the North of Sanjiang Region, China[J]. Earth Science Frontiers, 2008,15(4) :27-32.
[56]Li peilan,Yu Xingzhen.Locating mechanism study of several types of gold deposits[J]Journal of Central South University of Technology.1996,3(1):54-57
[57]R.P.Shaw,R.D.Morton,J.Gray and H.R.Krouse.Origins of metamorphic lode gold deposits:Implications of stable isotope data from the central Rocky Mountains,Canada[J].Mineralogy and petrology,1991,43(3):193-209.
[58]Raimundo Netuno Villas and Marcio Santos.Gold deposits of the Carajas mineral province:deposit types and metallogenesis[J].2001,36(3-4):300-331
[59] Hong Rui Fan,Ming Guo Zhai,Yi Han Xie and Jin Hui Yang.Ore-formig fluids associated with granite-hosted gold mineralization at the Sanshandao deposit, jiaodong gold province,China[J]Mineralium Deposita.2003,38(6):739-750.
[60] E.Gonzalez-Clavijo,M.A.Diez-Balda and F.Alvarez.Structural study of a semiductile strie-slip syseem in the Central Iberian Zone(Variscan Fold Belt,Spain):structural controls on gold deposits[J].International Journal of Earth Sciences.1993, 82.3:448-460.
[61]Sebastien Strebelle.Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics[J]. Mathematical Geology.2002,34(1):1-21.
[62]Gui-Hua Lin, Huifu Xu and Masao. Fukushima. Monte Carlo and quasi-Monte Carlo sampling methods for a class of stochastic mathematical programs with equilibrium constraints[J].Mathematical Methods Operations Research.2008,67(3):423-441.
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