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《地球科学》 2001-02
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SOME SUGGESTED FUTURE DIRECTIONS OF QUANTITATIVE RESOURCE ASSESSMENTS

Donald A. Singer (U.S. Geological Survey, 345 Middlefield Road, Menlo Park, California 94025, USA)  
Future quantitative assessments will be expected to estimate quantities, values, and locations of undiscovered mineral resources in a form that conveys both economic viability and uncertainty associated with the resources. Historically, declining metal prices point to the need for larger deposits over time. Sensitivity analysis demonstrates that the greatest opportunity for reducing uncertainty in assessments lies in lowering uncertainty associated with tonnage estimates. Of all errors possible in assessments, those affecting tonnage estimates are by far the most important. Selecting the correct deposit model is the most important way of controlling errors because the dominance of tonnage-deposit models are the best known predictor of tonnage. Much of the surface is covered with apparently barren rocks and sediments in many large regions. Because many exposed mineral deposits are believed to have been found, a prime concern is the presence of possible mineralized rock under cover. Assessments of areas with resources under cover must rely on extrapolation from surrounding areas, new geologic maps of rocks under cover, or analogy with other well-explored areas that can be considered training tracts. Cover has a profound effect on uncertainty and on methods and procedures of assessments because geology is seldom known and geophysical methods typically have attenuated responses. Many earlier assessment methods were based on relationships of geochemical and geophysical variables to deposits learned from deposits exposed on the surface-these will need to be relearned based on covered deposits. Mineral-deposit models are important in quantitative resource assessments for two reasons: (1) grades and tonnages of most deposit types are significantly different, and (2) deposit types are present in different geologic settings that can be identified from geologic maps. Mineral-deposit models are the keystone in combining the diverse geoscience information on geology, mineral occurrences, geophysics, and geochemistry used in resource assessments and mineral exploration. Grade and tonnage models and development of quantitative descriptive, economic, and deposit density models will help reduce the uncertainty of these new assessments.
【Fund】: 美国地质调查所项目! (USGSResearch)
【CateGory Index】: P624
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【References】
Chinese Journal Full-text Database 9 Hits
1 WANG Chun-nv;CHEN Jian-ping;HAN Zhen-zhe;LI Yong-sheng;JIA Wen-bin;Development and Research Center of China Geological Survey;National Exploration &Development Planning Technical Guidance Center in Ministry of Land and Resources;School of Earth Sciences and Resources,China University of Geosciences (Beijing);;Evaluation of information uncertainty in mineral resource prediction and assessment-Take Gan North Lengshuikeng ore field as example[J];中国矿业;2015-05
2 JIA Shi-ping LI Wu-ping (Department of Civil Engineering,Guangzhou University,Guangzhou 510006,China);Review of Assessment of Urban Underground Space Resource[J];地下空间与工程学报;2008-03
3 WANG Gong-wen1,2, CHEN Jian-ping1,2 (1. China University of Geosciences, Beijing 100083, China; 2. Beijing Key Laboratory of Research and Exploration Information of Land Resources, Beijing 100083, China);Teaching Reform and Course Construction of Quantitative Geosciences and Geological Information[J];中国地质教育;2007-04
4 Wan Li1,2,Wang Qingfei2 (1.Guangzhou University,Guangzhou 510006,China;2.China University of Geosciences,Beijing 100083,China);Model of the reserve-size distribution of ore deposits based on maximum entropy principle[J];武汉科技大学学报(自然科学版);2007-03
5 LU Peng~1,CHEN Jian-ping~1,ZHANG Lu-suo~2,ZHU Peng-fei~1,ZENG Min~1(1.Institute of Land Resources and High Techniques/Laboratory of Beijing Land Resources Information Development,China University of Geosciences(Beijing),Beijing 10008;2.Hebei Bureau of Coal Geology,Xingtai 054022);QUANTITATIVE PREDICTION AND EVALUATION OF REGIONAL RESOURCE POTENTIAL IN THE NORTHERN THREE-RIVER AREA OF SOUTHWEST CHINA BASE ON ORE DEPOSIT SCALE MODEL[J];地质与勘探;2006-05
6 LI De-ping~1,WANG Zhi-cheng~2,FAN Shao-yun~2(1.College of Resources & Environment Science,GIS Research Center,Hunan Normal University,Changsha,Hunan 410081,China;2.Research Institute No.230,Bureau of Geology of China Nuclear Industry,Changsha,Hunan 410011,China);Geological-economic analysis on the exploration of backup resources for depleted mines in Lujing uranium ore-field,central-southern China[J];铀矿地质;2006-05
7 LI De-ping~1,LI Jian-hong~2,WANG Zhi-cheng~3,Fan Shao-yun~3,CAO Li~1(1.College of Resources & Environment Science,GIS Research Center,Hunan Normal University,Changsha,Hunan 410081,China;2.Beijing Research Institute of Uranium Geology,Beijing 100029;3.Research Institute No.230,Changsha,Hunan 4100011,China);Geological-economic evaluation model for pithead heap-leaching uranium deposits of hard-rock[J];铀矿地质;2006-04
8 WAN Li~(1,2),DENG Jun~1,WANG Qing-fei~1,GAO Bang-fei~1(1.School of Earth Sciences and Land Resources,China University of Geology,Beijing 100083,China;2.School of Mathematics and Information Science,Guangzhou University,Guangzhou 510405,China);Fractal model of the reserve-size distribution of ore deposits and themathematical analysis of its fractal dimension[J];华南地质与矿产;2005-03
9 LI De ping GU Lian xing(Department of Earth Science, Nanjing University, Nanjing, Jiangsu province, 210093)ZHOU Qing sheng LI Shun chu(Research Institute No.230, Bureau of Geology CNNC, Changsha, Hunan province, 410011);Economic evaluation for in-situ crushing-leaching of uranium deposits in ore-field No.322[J];铀矿地质;2002-04
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 RONG Jing-hui1,2,CHEN Jian-ping1,2,SHANG Bei-chuan1,2(1.Institute of Land Resources and High Techniques,China University of Geosciences,Beijing 100083;2.Land Resources Information Development and Research Laboratory of Beijing,China University of Geosciences,Beijing 100083);Three-dimensional Prediction of Blind Orebodies in Gejiu,Yunnan Province Based on the Ore-Search Model[J];地质与勘探;2012-01
2 Frits Agterberg Geological Survey of Canada,601 Booth Street,Ottawa,K1A 0E8,Canada;Principles of Probabilistic Regional Mineral Resource Estimation[J];地球科学(中国地质大学学报);2011-02
3 WANG Shi-cheng Jilin University, Changchun 130061, Jilin, China;The new development of theory and method of synthetic information mineral resources prognosis[J];地质通报;2010-10
4 ZHANG Shanming1,LV Xinbiao2,TANG Xiaochun3,DENG Guoxiang3(1.Faculty of Earth Resources,China University of Geosciences(Wuhan),Wuhan 430074,China;2.State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences,Wuhan,Hubei 430074,China;3.Qinghai Western Resources Co.,Beijing 100012,China);Evaluation of Information Uncertainty in Mineral Resource Prediction and Assessment[J];地球信息科学学报;2010-03
5 Fang Weixuan,Guo Yuqian1.Centre of Beijing Resource Survey Technology,China Non-ferrous Metals Resource Geological Survey,Beijing 100012,China 2.State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences,Beijing 100083,China;New ore prospecting methodologies based on risk analysis in commercial assessments and their applications[J];地学前缘;2009-02
6 Chen Jianping1,2,Lü Peng1,2,3,Wu Wen1,2,Zhao Jie1,2,Hu Qing1,2 1.Institute of Land Resources and High Techniques,China University of Geosciences,Beijing 100083,China2.Land Resources Information Development and Research Laboratory of Beijing,China University of Geosciences,Beijing 100083,China 3.International Cooperation Office,China University of Geosciences,Beijing 100083,China;A 3D method for predicting blind orebodies,based on a 3D visualization model and its application[J];地学前缘;2007-05
7 QIN Shan, WANG Chang-qiu, LU An-huai(Peking University, Beijing 100871, China);Teaching Reform and Course Construction of Crystallography and Mineralogy[J];中国地质教育;2007-01
8 LU Peng~1,CHEN Jian-ping~1,ZHANG Lu-suo~2,ZHU Peng-fei~1,ZENG Min~1(1.Institute of Land Resources and High Techniques/Laboratory of Beijing Land Resources Information Development,China University of Geosciences(Beijing),Beijing 10008;2.Hebei Bureau of Coal Geology,Xingtai 054022);QUANTITATIVE PREDICTION AND EVALUATION OF REGIONAL RESOURCE POTENTIAL IN THE NORTHERN THREE-RIVER AREA OF SOUTHWEST CHINA BASE ON ORE DEPOSIT SCALE MODEL[J];地质与勘探;2006-05
9 HAN Li-tao,ZHU QingState Key Lab of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;An Object-Oriented 3D Vector Data Model for Subsurface Modeling[J];吉林大学学报(地球科学版);2006-04
10 LI De-ping~1,LI Jian-hong~2,WANG Zhi-cheng~3,Fan Shao-yun~3,CAO Li~1(1.College of Resources & Environment Science,GIS Research Center,Hunan Normal University,Changsha,Hunan 410081,China;2.Beijing Research Institute of Uranium Geology,Beijing 100029;3.Research Institute No.230,Changsha,Hunan 4100011,China);Geological-economic evaluation model for pithead heap-leaching uranium deposits of hard-rock[J];铀矿地质;2006-04
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 WANG Chunnv;HAN Zhenzhe;CHEN Jianping;Development and Research Center of China Geological Survey;National Exploration & Development Planning Technical Guidance Center Ministry of Land and Resources;School of Earth Sciences and Resources,China University of Geosciences;;Metallogenic Prediction of Molybdenum Deposits Based on GIS in Hulei Region of Fujian Province[J];地理信息世界;2016-01
2 WANG Chun-nv;CHEN Jian-ping;HAN Zhen-zhe;LI Yong-sheng;JIA Wen-bin;Development and Research Center of China Geological Survey;National Exploration &Development Planning Technical Guidance Center in Ministry of Land and Resources;School of Earth Sciences and Resources,China University of Geosciences (Beijing);;Evaluation of information uncertainty in mineral resource prediction and assessment-Take Gan North Lengshuikeng ore field as example[J];中国矿业;2015-05
3 YIN Kui-jie;LI Zhuo-ya;Political Science and Law School,Northeast Normal University;;The Nature of Ownership of Urban Underground Space[J];河北法学;2015-06
4 DONG Hengda;ZHENG Xiang;College of Earth Science,East China University of Technology;;Geological Characteristics and Metallogenesis of Granite-Related Uranium Deposits in Lujing Ore Field,Southeastern Hunan Province[J];江西科学;2015-01
5 PANG WenLong;WANG YanZhong;CHEN GuiHu;XUE JiGuang;HAN Bing;ZHANG HongWen;ZHENG DaHe;No. 1 Gold Geological Party of CAPF;;Geological fractal characteristics of Gaosongshan gold deposit in Heilongjiang and prognosis of mineral resources[J];矿床地质;2014-03
6 WANG Gong-wen;China University of Geosciences;;Teaching Reform and Practice on the Course of Mineral Resources Exploration[J];中国地质教育;2013-03
7 LI Shanping1,2,LI Yongxiang3,LI Huaiyi4,SHANG Jian5,PAN Tong2,BAI Zonghai1,HUANG Qinghua2,XU Beibei2(1.Qinghai Province Key Laboratory of Geological Processes and Mineral Resources of Northern Qinghai-Tibetan plateau,Qinghai Institute of Geology and Mineral Resources,Xining 810012,China;2.Qinghai Institute of Geological Survey,Xining 810012,China;3.The Eighth Institute of Mineral Exploration in Qinghai,Xining 810001,China;4.Geology & Mineral Exploration Development Authority of Qinghai Province,Xining 810001,China;5.The Fifth Institute of Mineral Exploration in Qinghai,Xining 810001,China);Geological characteristics and prospecting perspective of Mohailaheng lead-zinc deposit in the north zone of Qinghai Sanjiang area[J];青海大学学报(自然科学版);2011-03
8 LI Huan1, XI Xiao-shuang1, WU Cheng-ming1, Di Chun-xia2 (1. Institute of Geology, Central South University,Changsha,Hunan 410083;2.Team 805 of ECE,Nanjing,Jiangsu 211500);Geology and Metallogenesis of the Zhaokalong Iron-Copper-Polymetallic Ore Deposit in Yushu,Qinghai Province[J];地质与勘探;2011-03
9 LIU En-bin,TANG Meng-ping,SHI Yong-jun,ZHOU Guo-mo,LI Yong-fu (School of Environment Sciences,Zhejiang Forestry University,Lin'an 311300,Zhejiang,China).;Construction and application of probability distribution model for mixed forests tree measurement factors[J];应用生态学报;2009-11
10 Guo Chunying1,2,Gao Bangfei1,2,Xing Xuewen1,2(1.State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences;2.Key Laboratory of Lithosphere Tectonics and Litho probing Technology of Ministry of Education,China University of Geosciences);Comparison of lower limit value determined by two fractal methods[J];黄金;2008-03
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