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Metallogenic prediction of gold deposits with weighting of evidence based on MRAS in Huaihua area, Hunan Province |
KONG Xu1, MI Wen-Tian2, MO Xiong3, XIE Min-Tao1, JIANG Guo-Lin1, FU Chang-Liang1 |
1. No.407 Geological Party, Hunan Bureau of Geology and Mineral Exploration and Development, Huaihua 418000, China;
2. Inner Mongolia University of Technology, Hohhot 010051, China;
3. Geological Survey Institute of Yunnan Province, Kunming 650216, China |
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Abstract In order to improve the gold metallogenic research level of the Huaihua area,the authors carried out metallogenic prediction of gold deposits with weighting of evidence based on MRAS for the first time in this paper.The multiple geological database in Huaihua area was built based on the data of geology,mineral resources,tectonics,geophysics,geochemistry and remote sensing.The regional gold prospecting model of the study area was built on the basis of systematical analysis of metallogenic characteristics of the gold deposits,and the prediction factors included Neo-Proterozoic strata,faults,aeromagnetic (ΔT) anomaly zones from 0 to -60 nT,Au-,Cu-,Pb-,Sb-,Zn geochemical anomalies,igneous rocks,remote sensing interpretation of the linear and ring-shaped structures,gravity anomalies from 5 to 20 mGal and from 30 to 55 mGal,gold heavy sand anomalies and other heavy sand anomalies.The study area was divided into 2.5 km×2.5 km blocks firstly,and then the posterior probability of the block unit was calculated.According to the cumulative frequency distribution features of posterior probability,the block units were classified into A,B or C levels.In addition,10 gold prospecting targets were delineated according to the geological features and distribution characteristics of the block unit.Finally,according to the mean posterior probability,the size of the prospecting target and the sites of the discovered gold mineralization and deposits (ore spots),the prospecting targets were divided into 4Ⅰ-level targets , 3Ⅱ-level targets and 3Ⅲ-level targets.
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Received: 21 March 2015
Published: 10 June 2016
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