QUANTITATIVE PREDICTION AND EVALUATION OF POLYMETALLIC SULFIDE MINERAL DEPOSITS ALONG THE CENTRAL INDIAN OCEAN RIDGE

SHAO Ke; CHEN Jianping; REN Mengyi

doi:10.16562/j.cnki.0256-1492.2015.05.015

Marine Geology & Quaternary Geology > 2015 > 35(5): 125-133. > DOI: 10.16562/j.cnki.0256-1492.2015.05.015

SHAO Ke, CHEN Jianping, REN Mengyi. QUANTITATIVE PREDICTION AND EVALUATION OF POLYMETALLIC SULFIDE MINERAL DEPOSITS ALONG THE CENTRAL INDIAN OCEAN RIDGE[J]. Marine Geology & Quaternary Geology, 2015, 35(5): 125-133. DOI: 10.16562/j.cnki.0256-1492.2015.05.015

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QUANTITATIVE PREDICTION AND EVALUATION OF POLYMETALLIC SULFIDE MINERAL DEPOSITS ALONG THE CENTRAL INDIAN OCEAN RIDGE

1. China University of Geosciences(Beijing), Beijing 100083;
2. Institute of Land Resources and High Techniques, China University of Geosciences(Beijing), 100083, China/Beijing Key Laboratory of Research and Exploration of Land Resources, Beijing 100083

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Received Date: October 12, 2014
Revised Date: December 23, 2014

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Abstract

Abstract

The Ocean Drilling Program has proven that the large quantity of seafloor polymetallic sulfide, which is widely distributed in the ocean, has great potential for exploitation. Based on the regional geological data, such as water depth, geological structure, sea flow spreading rate, geophysics, volcanism and earthquake, the authors scrutinized the metallogenetic conditions, ore-controlling factors and geophysical anomalies of the polymetallic sulfide deposits along the Central Indian Ocean Ridge. We extracted 9 evidence factors and established a model of regional ore deposits, and adopted the weights of evidence method to predict and evaluate the polymetallic sulfide along the Central Indian Ocean Ridge. The favorable prospecting areas were delineated by the values of posterior probability. The results of the research will provide a scientific basis for the future exploration and utilization of polymetallic sulfide in Indian Ocean.
- weights of evidence,
- polymetallic sulfide deposits,
- data-driven method,
- metallogenetic prediction,
- Central Indian Ocean Ridge

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References

[1]	刘因,王金锋,刘辉.GIS成矿预测的数据驱动与知识驱动分析[J].安徽地质,2003,13(2):126-129. [LIU Yin, WANG Jinfeng, LIU Hui. Problem of process driven by data and knowledge in metallogenic prognosis[J].Geology of Anhui,2003,13(2):126-129.]
[2]	Hannington M, Jamieson J, Monecke T, et al. The abundance of seafloor massive sulfide deposits[J]. Geology, 2011, 39(12):1155-1158.
[3]	Small C. Global systematics of mid-ocean ridge morphology[C]//Faulting and Magmatism at Mid-Ocean Ridges. Buck W R, Delaney P T, Karson J A, et al. AGU Geophysical Monograph, 1998:106:1-26.
[4]	Carbotte S,Scheirer D S. Variability of Ocean Crustal Structure Created along the Global Mid-ocean Ridge[M]. Hydrogeology of the Oceanic Lithosphere. Davis E E, Elderfield H, Cambridge University Press, 2004:59-107.
[5]	Mendel V, Sauter D, Parson L, et al. Segmentation and morphotectonic variations along a super slow-spreading center:The Southwest Indian Ridge (57°E-70°E)[J].Marine Geophysical Researches, 1997, 19(6):505-533.
[6]	Fouquet Y. Where are the large hydrothermal sulphide deposits in the oceans?[M].Philosophical Transactions:Mathematical, Physical and Engineering Sciences. The Royal Society, 1997, 355:427-441.
[7]	高爱国. 海底热液活动研究综述[J].海洋地质与第四纪地质,1996, 16(1):103-110. [GAO Aiguo. Summarizing on the study of hydrothermal activities on the seafloor[J].Marine Geology and Quaternary Geology,1996, 16(1):103-110.]
[8]	别风雷,李胜荣,侯增谦,等. 现代海底多金属硫化物矿床[J]. 成都理工学院学报,2000,27(4):335-342. [BIE Fenglei, LI Shengrong, HOU Zengqian, et al. Polymentallic sulfide deposits at modern seafloor:an overview[J]. Journal of Chengdu University of Technology, 2000, 27(4):335-342.]
[9]	German C R, et al. Hydrothermal activity along the southwest Indian ridge[J]. Nature, 1998, 395(6701):490-493.
[10]	Agterberg F P, Bonham Charter G F, Cheng Q, et al. Weights of evidencemo delingand weighted logistic regression formineral potential mapping:Computers in Geology[M]. Cambridge:Oxford University Press, 1993:13-32.
[11]	Agterherg F P. Combining indicator patterns in weights of evidence modeling for resource evaluation[J]. Nonrenewable Resources, 1992, 1(1):39-50.
[12]	夏建新,李畅,马彦芳.深海底热液活动研究热点[J].地质力学学报,2007,13(2):179-191. [XIA Jianxin,LI Chang, MA Yanfang. Deep-sea hydrothermal activity:a hot research topic[J].Journal of Geomechanics,2007,13(2):179-191.]
[13]	赵鹏大.矿床统计预测[M].北京:地质出版社,1994.[ZHAO Pengda. Statistical Prediction of Mineraldeposit[M].Beijing:Geological Press,1994.]
[14]	景春雷.海底热液多金属硫化物成矿区域地质背景与控矿因素分析[D].青岛:国家海洋局第一海洋研究所,2012.[JING Chunlei. Analysis on the Regional Geological Background and Ore-controlling Factors of Submarine Hydrothermal Sulfide[D].Qingdao:The first Institute of Oceanography, SOA,2012.]
[15]	孟祥君,张训华,刘怀山,等.中国东部海区磁异常特征及其地质解释[J].海洋地质与第四纪地质,2014, 34(3):67-74. [MENG Xiangjun, ZHANG Xunhua, LIU Huaishan, et al. The magnetic anomaly pattern in The Eastern China Seas and its geological interpretation[J].Marine Geology and Quaternary Geology, 2014, 34(3):67-74.]
[16]	Mendel V, Sauter D. Seamount volcanism at the super slow-spreading Southwest Indian Ridge between 57°E and 70°E[J].Geology,1997,25:99-102.
[17]	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].Geological Bulletin of China, 2007,26(2):141-149.]
[18]	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 Univerisity(Earth Science Edition), 2007,37(5):889-894.]
[19]	刘星,胡光道.应用MORPAS系统证据权重法进行多源信息成矿预测——以澜沧江南段地区为例[J].地质与勘探,2003,39(4):65-68. [LIU Xing,HU Guangdao. Applying evidence weight model of MORPAS system to process multi-source information for predicting minerals resources-example from the southern Lancangjiang area[J]. Geology and Prospecting, 2003,39(4):65-68.]
[20]	李健,丁成武,陈建平,等.基于GIS的证据权重法的甘肃北祁连东段海相火山岩型铅锌矿床成矿预测评价[J]. 兰州大学学报:自然科学版,2012,48(4):14-19. [LI Jian,DING Chengwu,CHEN Jiangpin,et al. Metallogenic prognosis of marine volcanic type lead-zinc resources in metallogenic belt of northern Qilian based on GIS weight of evidence[J]. Journal of Lanzhou University(Natural Sciences), 2012,48(4):14-19.]

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QUANTITATIVE PREDICTION AND EVALUATION OF POLYMETALLIC SULFIDE MINERAL DEPOSITS ALONG THE CENTRAL INDIAN OCEAN RIDGE