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›› 2012, Vol. 35 ›› Issue (03): 339-347.

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Feature extraction and prediction methods for typical deposit in Central Asia

ZHOU KeFa1,2,CHEN Yanjing1,ZHANG NanNan2,WANG JinLin2,WANG Wei2,LIU ZhaoXia2,CHENG WanWen2   

  1. 1 Key Laboratory of Orogen and Crust Evolution, Ministry of Education, Peking University, Beijing 100871,China;2 Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011,Xinjiang,China
  • Received:2011-09-12 Revised:2011-12-20 Online:2012-05-25
  • Contact: ZHOU KeFa E-mail:zhoukf @ms.xjb.ac.cn

Abstract: This paper briefly studied the tectonic enmronment, geological characteristics and distribution of the large metallogenic ore belt in Central Asia.Taking metallogenic districts of Balkhash as typical study area and combining multi temporal remote sensing data and field work results, with the constantly changing knowledge of the division of metallogenic belts and types and characteristics of metallogenic formations in adjacent regions of Xinjiang, the authors emphasize that in comparing the geology and mineral resources in Xinjiang with those in its adjacent regions it is necessary to gain knowledge of their research histories and seek to make such comparison based on ascertaining basic orecontrolling elements. In addition, in Central Asia mineralization related to Early Paleozoic continental crustal accretion is quite importantly, all these belong to the characteristics of the Central Asian metallogenic megaprovince and must be fully considered in the comparative study. To ArcGIS platform, crossborder metallogenic belt establishment of a Central Asian main objective of the integrated model of large oreprediction system, that the Central Asian metallogenic belt ore concentration distribution of the prediction and mineralization element association show certain zonation from intrusive bodies to wallrocks. Integration of the calculated results of the single feature class to a new feature class with the existing deposit, the use of spatial analysis models were calculated, The study area is divided into potential highpoly district, potential gathering area, high prediction District, forecast area, and undetermined area five categories, we calculated the predictions for the entire study area and analysis of fieldproven, the forecasting results obtained two potential accumulation area in Xinjiang, include the potential accumulation area of the Ili region and Axi gold deposit verification, field validation analysis proved the model which was used in the Tianshan copper-gold deposit packet for the trial was true, the results of further exploration work has a certain significance.

Key words: Central Asia metallogenic belt, GIS, data methods, sign recognition

CLC Number: 

  • P 61