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Application Of Weights-of-evidence Method Based On GIS On Copper And Gold Mineral Resources Assessment

Posted on:2015-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:E Z WuFull Text:PDF
GTID:2250330428466931Subject:Resource management engineering
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Society developing, human beings are making increasing demands of mining resources, thescarcity of which is prominent day by day. Therefore, more scientific methods of quantitativelyassessing predicted mineral resources are needed urgently, to enhance the efficiency ofprospecting, shorten assessment cycle of mineral resources, reduce prospecting risks and ensurethe supply of mineral resources. The weights-of-evidence method based on GIS can be used tosyntheticallyanalyze all sorts of advantageous information of mineralization and assess theinformation scientifically and quantitatively, to delineate advantageous mineralizationlotboundary at different levels. Compare with ordinary methods, it is preferable.Baiyinxile et al lie in the middle Inner Mongolia, administrative districts belongingSiziwangqi, Wulanchabu city, Inner Mongolia autonomous region with a total area of about1532.22km2.The study area is located in the event of ji-tin proterozoic, variscan, yanshanepoch, copper, iron, chrome, gold and fluorite metallogenic belt (Ⅲ7), the southern boundaryby a slot machine fault, north west of the altun fault as the boundary, at the same time zonedevelopment phase caledonian granite diorite porphyry and variscan and yanshanian graniteintrusion, which is closely related to the gold and copper mineralization, has a great potential forprospecting in the area.Prediction of the target minerals in the study area is copper and gold. Through the study onthe geological characteristics and the known ore deposits on the basis of comprehensive analysis,according to the principle of "the evidence weight method" quantitative analysis of the strata,fault, geochemistry, geophysics and remote sensing anomaly of geoanoml y-leading-to orerelated information and the spatial distribution of ore deposit resources, so as to select the bestevidence layers: strata, favorable strata combination entropy prior degree, fracture, fault buffer,geochemical anomaly and remote sensing anomaly evidence layers, such as copper, gold andother mineral resources evaluation of geological variables.Area in the study area is not very big, the unit for a total of64, including ore unit have eight,therefore, prior probability P (D)=0.14, then use Morpas3.0software area of each unit of studyon metallogenic posterior probability calculation, and on the basis of a posteriori probabilityvalues could be divided into two levels, the results drawn white tone shearer four such as copper,gold mineral resources prediction evaluation target figure. In most of the known mines forecasttarget zone, point out that the reliability of the predicted results have certain, has the referencevalue. Moreover, this research indicates that the weights-of-evidence method based on GIS alsoapplies to small area and large scale mineral prediction, which works well. With the assist of GIS,it can be used to extract rapidly the mineralize information of relevant mineral resources, build evidence layer and analyze data synthetically, to delineate mineralize target region. It is moretimesaving and effective than ordinary delineating methods of manual work.
Keywords/Search Tags:Morpas3.0system, weights-of-evidence method, quantitative assessment, mineralize information, evidence layer
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