文章摘要
王小敏.小波勒山地区1颐5 万地球化学数据处理与异常评价[J].地质与勘探,2010,46(4):
小波勒山地区1颐5 万地球化学数据处理与异常评价
Geochemical data (1/ 50000) Processing and Anomaly Evaluation for the Small Pol Mountain Region
投稿时间:2009-11-10  修订日期:2010-06-25
DOI:
中文关键词: 地球化学异常评价 趋势面 组合变量 小波勒山地区
英文关键词: trend-surface,combination of variables,geochemical anomaly evaluation,Small Pol mountain region
基金项目:黑龙江省呼中区松合义东山小波勒山幅1颐5 万区域地质矿产调查项目(HLJKD2005)资助
作者单位
王小敏 中国地质大学(武汉)资源学院,武汉 
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中文摘要:
      [摘要]以小波勒山地区1颐5 万水系沉积物数据为对象,利用相关分析和R 型聚类分析确定研究 区成矿元素组合为Pb-Ag-Zn-Cu-Bi(铅多金属成矿组合)和Mo-W-Sn(钼多金属成矿组合),以线性方 法构置组合变量F1(Pb-Ag-Zn-Cu-Bi)、F2(Mo-W-Sn),组合变量中的各元素权重根据该元素对主成 矿元素的相关性强度来确定;运用趋势面分析方法圈定研究区两个组合变量的异常图。结果显示,根据 组合变量所圈定的综合异常与研究区已知矿化地段重合性很强。结合成矿地质条件对所圈定异常进行 评价,确定出具玉级找矿潜力异常区3 个,域级、芋级找矿潜力异常区各2 个,为研究区下一步找矿方向 的确定提供了科学的依据。
英文摘要:
      Abstract:Taking the stream sediment data (scale 1颐50000) of the Small Pol mountain region as the object,the ore-forming elements portfolio of the study area are determined to be Pb-Ag-Zn-Cu-Bi (Pb-polymetallic mineralization portfolio) and Mo-W-Sn (Mo-bearing polymetallic mineralization port鄄 folio) by correlation analysis and R-type cluster analysis. According to the above result,it is possible to make up two linear combind variables F1 (Pb-Ag- Zn-Cu-Bi) and F2 (Mo-W-Sn). Moreover,the authority value of each element of these variables is determined by the relevant intensity of the main oreforming elements. Two abnormal graphs of combined variables are drawn with the approach of trend-surface analysis. The result shows that the anomalies de鄄 termined by the combination of variables are well consistent with the known mineralization areas and the alteration information in the study region. In cun鄄 junction with the conditions of ore-forming geology,this paper evaluates the anomalies determined and suggests 3 potential mineral resources regions of level -I,and 2 regions of level-II and level-III,respectively. They provide scientific evidence for further mineral search.
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