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Predictive GIS Model for Potential Mapping of Cu, Pb, Zn Mineralization
作者姓名:Tarik.  B.  Benomar  BIAN  Fuling
作者单位:State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
摘    要:IntroductionChina is the third richest country in the world ofmineral resources with a total potential value of 11trillion USdollars. Yunnan Provincce is one of theimportant metallogenic belts for nonferrous and pre-cious metal deposits1].Mineral source …

关 键 词:地理信息系统        矿化物  GIS
文章编号:1009-5020(2006)02-151-06
收稿时间:2005-12-30

Predictive GIS model for potential mapping of Cu, Pb, Zn mineralization
Tarik. B. Benomar BIAN Fuling.Predictive GIS Model for Potential Mapping of Cu, Pb, Zn Mineralization[J].Geo-Spatial Information Science,2006,9(2):151-156.
Authors:Tarik B Benomar Ph D  Bian Fuling
Institution:Tarik.B.Benomar BIAN Fuling
Abstract:The geologic features indicative of Cu, Pb, Zn mineral deposits in a area are fractures (structure), and host rock sediments. Datasets used include Cu, Pb, Zn deposit points record, geological data, remote sensing imagery (Landsat TM5). The mineral potential of the study area is assessed by means of GIS based geodata integration techniques for generating predictive maps. GIS predictive model for Cu, Pb, Zn potential was carried out in this study area (Weixi) using weight of evidence. The weights of evidence modeling techniques is the data driven method in which the spatial associations of the indicative geologic features with the known mineral occurrences in the area are quantified, and weights statistically assigned to the geologic features. The best predictive map generated by this method defines 24% the area having potential for Cu, Pb, Zn mineralization further exploration work.
Keywords:geographic information system  weights of evidence  mineral resource prediction
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