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金属矿山 ›› 2011, Vol. 40 ›› Issue (02): 90-94.

• 地质与测量 • 上一篇    下一篇

东昆仑野马泉地区多金属矿产资源潜力评价

陈翠华1,刘岳1,何彬彬2   

  1. 1.成都理工大学;2.电子科技大学
  • 出版日期:2011-02-10 发布日期:2011-02-15
  • 基金资助:

    国家高技术研究发展计划(863计划)项目(编号: 2007AA12Z227),国家自然科学基金项目(编号:40701146)

Assessment on Potentiality of Poly-metallic Mineral Resources in Yemaquan,Eastern Kunlun

Chen Cuihua1,Liu Yue1,He Binbin2   

  1. 1.Chengdu University of Technology;2.University of Electronic Science and Technology of China,Chengdu
  • Online:2011-02-10 Published:2011-02-15

摘要: 应用基于证据权模型,结合GIS空间分析技术评价东昆仑野马泉地区多金属矿产资源潜力。首先在分析野马泉成矿地质背景的基础上,选取控矿变量,并采用证据权模型的邻近度分析确定控矿变量的最佳阀值;其次对最终选取的6个证据图层进行基于卡方的条件独立性假设检验;最后应用证据权模型综合6个证据图层,绘制成矿后验概率图。根据后验概率值与累积面积之间的变化关系,将研究区划分为三类潜力区(高、中、低潜力区),其中高潜力区占整个研究区总面积的3.4%,包含了21个已知矿床点中的13个(约占62%),中潜力区占总面积的6.2%,包含了5个已知矿床点(24%),总体预测精度为86%,显示了良好的预测效果。

关键词: 金属矿产, 资源潜力评价, 证据权, GIS

Abstract: Assessment on potentiality of the poly-metallic mineral resources in Yemaquan Area,Eastern Kunlun was performed,combining weights-of-evidence model with GIS spatial analysis technology.Firstly,based on the analysis of metallogenic geology background,the ore-controlled variables were selected to determine its optimal threshold with the proximity analysis method of weights-of-evidence model.Secondly,the independence hypothesis testing of six evidences was made based on the chi-square tests condition.Finally,a posterior probability map was produced by weights-of-evidence model based on six binary evidential maps.According to the variations of posterior probability and cumulative area,the study area was classified into three target zones respectively (high potential,moderate potential and low potential),of which high potential areas occupied 3.4% of the total area and contained 13 of 21 (approximately 62%) deposits,and moderate potential areas occupied 6.2% of the total area and contained 5 (approximately 24%) deposits.The total prediction accuracy is approximately 86%,showing it is an effective prediction.

Key words: Metal resources, Resources Potential Assessment, Weights-of-Evidence, GIS