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《Geology and Exploration》 2014-04
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An Analysis of Linear Structures in the Huize Lead-Zinc Mine Based on Remote Sensing Images Using the Principle of Geostatistics

XU Jun-long;WEN Xing-ping;YU Min;LI Chao;WANG Jun;ZHANG Li-juan;ZHOU Yang;QIAO Xu;Faculty of Land Resource Engineering ,Kunming University of Science and Technology;Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunan Province;Northwest Nonferrous Geology Institute;Nuclear Industry Geological Bureau 293 Brigade in Guangdong Province;  
Geostatististics have developed rapidly in the field of natural science. The theory and method of geological statistics can be applied to study spatial data structure and randomness or to model discrete volatility and other mathematical properties,and a series of achievements have been made,especially in the field of geological environment evaluation,oil reserves estimation,mine modeling and ore deposit geochemistry. The remote sensing interpretation of complex geological structure information can meet the requirements of geological statistics,but few of its theory research methods have been applied to studies of structures based on remote sensing images. This paper takes the Huize lead-zinc mine as an example,and uses a variety of geological statistics methods through India IRS-P6 satellite data interpretation to divide the known NE,NW,EW and SN-trending structures into 2 groups of oreforming favorableness and non-ore-forming favorableness structures based on previous studies and regional geological background. We test this classification rationality through variance analysis,and make an ore-forming favorability map through principal component analysis and Kriging interpolation method. This study also compares the results with the known mines and the kylin factory deposit,and provides a scientific basis for ore prospecting work from the point of view of structure.
【Fund】: 国家自然科学基金联合基金(U1133602);国家自然科学基金(41101343);; 昆明理工大学成矿动力学与隐伏矿预测创新团队(2008)联合资助
【CateGory Index】: P618.4;P627
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