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The Metallogenic Prediction Of Yemajing Area In Tori County Of Western Junggar, Xinjiang

Posted on:2013-04-09Degree:MasterType:Thesis
Country:ChinaCandidate:L Q ZhangFull Text:PDF
GTID:2230330392459150Subject:Mineralogy, petrology, ore deposits
Abstract/Summary:PDF Full Text Request
Yemajing located in the east of Tori County in Xinjiang,belongs to the western ofJunggar.Its structure position located in the DahlBaxter–Caramori metallogenic belt which isthe favorable area looking for gold,copper,iron,chromiumand so on and the crystal,clay havebeen the size of mining.Most of the working area is covered of gobi,so the poor natural conditions has brought many inconveniences for field work.The author collected these geological,geoch-emical,remote sensing study and identy the favorable mineralization in order the complexity field work.the main work as follows:1,based on the geological background,geological features and metallogenic regularity,theauther build metallogenic model and prospecting model of gold and copper and identy majorcriteria;the study area is divided into1431grids of1km by1km,then calculated the amountinformation for each cell,draw the isogram of prospecting,initially identify theoreticallyadvantageous oreforming area;use BP neural network to compute the7prospecting marks’information and complete the preliminary predition basing on geological conditions.2,Collect1:200000geological mineral of Karamay and geochemical anomaly contourmap,then vectorize and attribute them;reference1:200000geological mineral of Karamay and1:50000Tooktook mineral geological map,map the working area using ETM+image;obtained geology and geochemical anomalies to get favorable areas.3,try to deal with ETM+remote sensing image for extracting mineralization anomaliesof hydroxy alteration,comprehensive and analysis informations of geology,geochemicalexploration and remote sensing for delining target areasand carry on the geologydemonstration.
Keywords/Search Tags:Criteria for ore prospecting, the amount of information, the BP neural network, geological, g-eochemical, remote sensing, multi-source information, metallogenic prediction
PDF Full Text Request
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